{ "count" : 73868, "data" : [ { "id" : "6a305571f292fd229cf1f9be", "title" : "Postdoctoral Research Associate", "company" : "The University of Sydney", "industry" : "Biotech", "salary" : { "min" : 113400.0, "max" : 113400.0, "currency" : "USD", "frequency" : "yearly" }, "location" : "Australia", "locations" : [ "Australia" ], "timestamp" : "2026-06-16T12:27:11.517", "fingerprint" : "b2325af0fe16b718b957dc231a61db891fab0fcc3c77c3cad9bccfb271b0479f", "source" : "workday", "language" : "en", "applyUrl" : "https://usyd.wd105.myworkdayjobs.com/USYD_EXTERNAL_CAREER_SITE/job/Camperdown-Campus/Postdoctoral-Research-Associate---Herpesvirus-and-Viral-Immunology-group_0151250-1", "externalId" : "0151250", "industryFunction" : { }, "locationPoint" : "-25.2744,133.7751", "structuredLocations" : [ { "country" : "Australia", "continent" : "oc", "workMode" : "remote" } ], "locationText" : "Australia", "employmentType" : "FULL_TIME", "technicalSkills" : "Molecular biology, Cell biology", "professionalSkills" : [ "Research planning", "Organisation", "Customer service" ], "hardSkillsList" : [ "Immunology assays", "Data analysis" ], "softSkillsList" : [ "Excellence", "Respectful" ], "hardSkills" : [ { "name" : "Immunology assays", "level" : "intermediate" }, { "name" : "Data analysis", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Excellence" }, { "name" : "Respectful" } ], "majorSkills" : "Viral immunology, Mammalian cell culture, Molecular biology, Immunology assays", "majorSkillsList" : [ "Viral immunology", "Mammalian cell culture", "Molecular biology", "Immunology assays" ], "coreResponsibilities" : "Conduct research, Contribute to discipline knowledge, Develop research skills, Supervise Honours students, Supervise PhD students, Ensure quality in research, Maintain standards in research, Provide mentoring to students, Carry out administrative tasks, Contribute to faculty meetings, Contribute to school meetings, Contribute to positive workplace culture, Interact with students professionally, Interact with staff professionally, Interact with university community professionally, Maintain understanding of strategic agenda, Contribute to furthering strategic agenda, Contribute to strategic direction, Undertake other duties, Contribute to projects", "teamCollaboration" : "Collaborative research initiatives; Positive workplace culture", "domainKnowledge" : "Herpesviruses; Viral immunology; Varicella zoster virus; Herpes simplex virus; Human cytomegalovirus; Human host interaction", "domainList" : [ "herpesviruses", "viral-immunology", "varicella-zoster-virus", "herpes-simplex-virus", "human-cytomegalovirus", "human-host-interaction" ], "domainSpecificKnowledge" : [ "Herpesviruses", "Viral immunology", "Varicella zoster virus", "Herpes simplex virus", "Human cytomegalovirus", "Human host interaction" ], "toolProficiency" : [ "Microscopy", "Image analysis", "Flow cytometry" ], "communicationSkills" : "Effective presentations", "specialRequirements" : "Pre-employment checks, Background checks", "qualificationsBasic" : "PhD in immunology and/or virology, Demonstrated understanding of subject matter, Experience conducting original research, Experience in immunology and/or virology, Significant experience with mammalian cell culture, Experience with flow cytometry, Experience with microscopy, Experience with image analysis, Experience with molecular biology techniques, Experience with cell biology techniques, Experience with immunology-based assays, Experience with analysis of associated data sets, Unrestricted work rights in Australia", "qualificationsPreferred" : "Developing research profile, Developing network of academic partners", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "* **Full time, fixed term for 12 months** * **Exciting opportunity to join the School of Medical Sciences as a Postdoctoral Research Associate** * **Base Salary starting from $113,400 + 17% superannuation ** **About the opportunity** The School of Medical Sciences is recognised as one of the leading centres for medical science education and research. With over 100 years of excellence, the school is committed to advancing knowledge, training future leaders, and delivering impactful research across a range of disciplines. We are seeking a Postdoctoral Research Associate in the Herpesvirus and Viral Immunology group to apply and develop their expertise in conducting high-quality research that advances the research agenda of the faculty or school. The role involves contributing to research activities independently or as part of a team, developing scholarly outputs, and supporting collaborative research initiatives within the discipline. We are seeking to recruit a Postdoctoral Research Associate to provide technical knowledge and expertise in support of the Chief Investigator and other senior investigators to expand the research program on human herpesviruses. The main focus of this role is performing laboratory-based research predominantly working with Varicella zoster virus (VZV), herpes simplex virus (HSV), and human cytomegalovirus (HCMV), mammalian cell culture and molecular biology and immunological based techniques to further our understanding of the complex interplay between these viruses and the human host. Your key responsibilities will be to: * conduct research, scholarly or professional activity independently or as part of a team, contributing to discipline knowledge * develop and refine independent research skills under the supervision of senior academic staff with increasing autonomy * play a supervisory role for Honours and PhD students within the research group * ensure quality, standards and excellence are maintained in research activities and outputs * provide informal mentoring and advice to students within the discipline where appropriate * carry out administrative tasks and contribute to faculty or school meetings * contribute to a positive workplace culture in which diversity of thought, collaboration, excellence and achieving outcomes are valued and enabled * interact with students, staff and members of the university community in a professional, collegial and respectful manner * maintain an understanding of the university’s strategic agenda and contribute to furthering that agenda * contribute to the strategic direction of the faculty or school as articulated through relevant strategic plans * undertake other duties and contribute to projects appropriate within the classification level as required. **About you** * PhD in immunology and/or virology * demonstrated understanding of the subject matter within the discipline * experience conducting original research and engaging in scholarly activity in immunology and/or virology * significant experience with mammalian cell culture and techniques such as flow cytometry, microscopy and image analysis, molecular and cell biology techniques, immunology-based assays and analysis of associated data sets * developing research profile in the discipline or area of expertise * developing network of academic partners * strong skills in research, planning and organisation, computer literacy, effective presentations, communication and customer service **Sponsorship / work rights for** **Australia** **Work Rights: you must have unrestricted work rights in Australia for the duration of this employment to apply. Visa sponsorship is not available for this appointment.** **Pre-employment checks** Your employment is conditional upon the successful completion of all pre-employment or background checks required for the role in terms satisfactory to the University. Also, to meet the University’s obligations under the National Higher Education Code to Prevent and Eliminate Gender-Based Violence you will be asked to declare if you have been investigated for, or found to engaged in, sexual harm or gender-based violence in the course of previous employment or in a legal process. Similarly, your ongoing employment is conditional upon the satisfactory maintenance of all relevant clearances and background check requirements. If you do not meet these conditions, the University may take any necessary step, including the termination of your employment. **EEO statement** At the University of Sydney, our shared values are [trust, accountability and excellence](https://www.sydney.edu.au/about-us/vision-and-values.html) and we strive to be a place where everyone can thrive. We are committed to creating a University community that thrives through diversity and reflects the wider community that we serve. We deliver on this through our commitment to [diversity and inclusion](https://www.sydney.edu.au/about-us/vision-and-values/diversity.html), evidenced by our people and culture programs, as well as key strategies to increase participation and support the careers of [Aboriginal and Torres Strait Islander People](https://www.sydney.edu.au/about-us/careers-at-sydney/indigenous-careers.html), [women](https://www.sydney.edu.au/about-us/vision-and-values/diversity/gender-equity.html), [people living with a disability](https://www.sydney.edu.au/about-us/careers-at-sydney/careers-for-people-with-disability.html), [people from culturally and linguistically diverse backgrounds](https://www.sydney.edu.au/about-us/vision-and-values/diversity/cultural-diversity.html), and those who identify as [LGBTIQ+](https://www.sydney.edu.au/about-us/vision-and-values/diversity/lgbtiq-community.html). We welcome applications from candidates from all backgrounds. We are proud to be recognised as an Australian Workplace Equality Index (AWEI) Gold employer. [Find out more about our work on diversity and inclusion](http://sydney.edu.au/about-us/vision-and-values/diversity.html). **How to apply** Applications (including a cover letter, CV, and any additional supporting documentation) can be submitted via the **Apply** button at the top of the page. For employees of the University or contingent workers, please login into your [**Workday**](https://sydney.edu.au/workday) account and navigate to the Career icon on your Dashboard. Click on USYD Find Jobs and apply. For a confidential discussion about the role, or if you require reasonable adjustment or any documents in alternate formats, please contact, Ajaypal Singh, Recruitment Operations by email to ajaypal.singh@sydney.edu.au. **©** The University of Sydney The University reserves the right not to proceed with any appointment. Click to view the [Position Description](https://unisyd.sharepoint.com/:b:/s/WorkdayIntegration/IQBVjUYnx1DJR6Q-MQI7PkF4AaZK8v19sFmda2qjxorAEMw?download=1) for this role. **Applications Close** Sunday 28 June 2026 11:59 PM", "summaryDescription" : "Postdoctoral Research Associate at The University of Sydney. Skills: Viral immunology, Mammalian cell culture, Molecular biology, Immunology assays. Conduct research. Contribute to discipline knowledge", "postedDate" : "2026-06-16T03:48:54.703", "createdAt" : "2026-06-16T03:48:54.696", "lastUpdated" : "2026-06-16T12:27:11.517", "ingestTimestamp" : "2026-06-16T03:48:54.696", "mongoId" : "6a305571f292fd229cf1f9be", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://usyd.wd105.myworkdayjobs.com/USYD_EXTERNAL_CAREER_SITE/job/Camperdown-Campus/Postdoctoral-Research-Associate---Herpesvirus-and-Viral-Immunology-group_0151250-1", "salaryAnnualMin" : 113400, "salaryAnnualMax" : 113400, "salaryBand" : "100k-150k", "hasSalary" : true, "allSkills" : [ "Immunology assays", "Data analysis", "Excellence", "Respectful", "Viral immunology", "Mammalian cell culture", "Molecular biology", "Research planning", "Organisation", "Customer service", "Herpesviruses", "Varicella zoster virus", "Herpes simplex virus", "Human cytomegalovirus", "Human host interaction", "Microscopy", "Image analysis", "Flow cytometry" ], "skillCount" : 18, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "executive", "dataQualityScore" : 0.8888889, "daysOld" : 0, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "Healthcare", "llmIndustryConfidence" : 0.98 }, { "id" : "69fafd2b4c40e2acd188b098", "title" : "Postdoctoral Research Associate – Physics-Informed Learning and Optimisation of Windfarms Dynamics", "company" : "University of Sydney", "industry" : "Robotics", "salary" : { "min" : 109263.0, "max" : 121054.0, "currency" : "USD", "frequency" : "yearly" }, "location" : "Australia", "locations" : [ "Australia" ], "timestamp" : "2026-05-06T11:24:54.112", "fingerprint" : "d7f7b4fc99f4dd7f06143d5a4eafb37834f3f1484a529f7f87e02768803b62ec", "source" : "workday", "language" : "en", "applyUrl" : "https://usyd.wd105.myworkdayjobs.com/USYD_EXTERNAL_CAREER_SITE/job/Darlington-Campus/Postdoctoral-Research-Associate---Physics-Informed-Learning-and-Optimisation-of-Windfarms-Dynamics_0150446-1", "externalId" : "0150446", "industryFunction" : { }, "locationPoint" : "-25.2744,133.7751", "structuredLocations" : [ { "city" : "sydney", "state" : "new south wales", "country" : "australia", "continent" : "oc", "source" : "locations-index", "geo" : "-33.86785,151.20732" } ], "locationText" : "sydney, new south wales, australia", "employmentType" : "FULL_TIME", "minimumEducation" : "PhD", "technicalSkills" : "physics-informed learning, neural operators, computational fluid dynamics, machine learning, reduced-order modelling, data-driven control, optimisation, control", "professionalSkills" : [ "research" ], "hardSkillsList" : [ "mathematical skills", "computational skills" ], "softSkillsList" : [ "work as a member of a team", "work independently" ], "hardSkills" : [ { "name" : "mathematical skills", "level" : "intermediate" }, { "name" : "computational skills", "level" : "intermediate" } ], "softSkills" : [ { "name" : "work as a member of a team" }, { "name" : "work independently" } ], "majorSkills" : "Physics-Informed Learning, Optimisation, Windfarms Dynamics, Machine Learning, Reduced-Order Modelling, Data-Driven Control", "majorSkillsList" : [ "Physics-Informed Learning", "Optimisation", "Windfarms Dynamics", "Machine Learning", "Reduced-Order Modelling", "Data-Driven Control" ], "coreResponsibilities" : "develop new approaches to optimisation and control of large-scale windfarms in low-carbon electric power systems, taking into account wake interactions between individual wind turbines, generate and utilize reduced-complexity predictive models for windfarm control, from combinations of computational fluid dynamics and experimental data, develop new methods in robust and physics-informed machine learning, reduced-order modelling, and data-driven control", "teamCollaboration" : "work as a member of a team", "domainKnowledge" : "windfarm dynamics; low-carbon electric power systems; wake interactions between individual wind turbines; computational fluid dynamics; experimental data; fluid systems", "domainList" : [ "windfarm-dynamics", "low-carbon-electric-power-systems", "wake-interactions-between-individual-wind-turbines", "computational-fluid-dynamics", "experimental-data", "fluid-systems" ], "domainSpecificKnowledge" : [ "windfarm dynamics", "low-carbon electric power systems", "wake interactions between individual wind turbines", "computational fluid dynamics", "experimental data", "fluid systems" ], "toolProficiency" : [ "machine learning tools", "software libraries" ], "communicationSkills" : "excellent written and verbal English communication skills", "innovationCreativity" : "develop new approaches; develop new methods", "specialRequirements" : "unrestricted work rights in Australia for the duration of this employment, successful completion of all pre-employment or background checks", "qualificationsBasic" : "PhD (or soon to be completed) in physics-informed learning, neural operators, computational fluid dynamics, or a closely-related field, a research track record, potential or demonstrated, of international standing, mathematical and computational skills, experience with machine learning tools and software libraries, demonstrated expertise and research experience in physics-informed machine learning, reduced-order modelling, and/or prediction and control of fluid systems, excellent written and verbal English communication skills, demonstrated ability to work as a member of a team and independently, unrestricted work rights in Australia for the duration of this employment", "qualificationsPreferred" : "Proficient in X, Knowledge of X, Familiar with X, X experience required", "remoteFriendly" : false, "rawDescription" : "* **Full time fixed term for 1 year** * **Join one of the world’s largest robotics research institutes** * **Base Salary $109,263 - $121,054 + 17% superannuation ** **About the opportunity** We are seeking a Postdoctoral Research Associate to join the Australian Centre for Robotics and the Net Zero Institute at the University of Sydney, Australia. The successful applicants will work at Sydney with Prof. Ian Manchester and Prof Gregor Verbic, in collaboration with Prof Ben Thornber (Queens University Belfast, UK) and Prof. Dr Harald Köstler (Friedrich Alexander University of Erlangen, Germany) on a project funded in part by the Australian Research Council. The successful applicant will work with this team to develop new approaches to optimisation and control of large-scale windfarms in low-carbon electric power systems, taking into account wake interactions between individual wind turbines. The project focus is on how to generate and utilize reduced-complexity predictive models for windfarm control, from combinations of computational fluid dynamics and experimental data. You will join the Australian Centre for Robotics (ACFR), at the University of Sydney. The ACFR is one of the largest robotics research institutes in the world, with over 140 members including faculty, research fellows, technical staff, and postgraduate students. The ACFR performs fundamental research on perception, control, modelling, learning, and systems engineering and has strong industry and scientific collaborations in sectors including mining, aviation, agriculture, manufacturing defence, and environmental resilience. **About you** The University values courage and creativity; openness and engagement; inclusion and diversity; and respect and integrity. As such, we see the importance of recruiting talent aligned to these values and are looking for a Postdoctoral Research Associate in**Physics-Informed Learning and Optimisation of Windfarms Dynamics.** For this position the research activity is expected to develop new methods in robust and physics-informed machine learning, reduced-order modelling, and data-driven control. You will have: * PhD (or soon to be completed) in physics-informed learning, neural operators, computational fluid dynamics, or a closely-related field * a research track record, potential or demonstrated, of international standing * strong mathematical and computational skills, and experience with machine learning tools and software libraries * demonstrated expertise and research experience in physics-informed machine learning, reduced-order modelling, and/or prediction and control of fluid systems * excellent written and verbal English communication skills * demonstrated ability to work as a member of a team and independently. **Sponsorship / work rights for Australia** You must have unrestricted work rights in Australia for the duration of this employment to be eligible to apply. Visa sponsorship is not available for this appointment. **Pre-employment checks and declarations** Your employment is conditional upon the successful completion of all pre-employment or background checks required for the role in terms satisfactory to the University. Also, to meet the University’s obligations under the National Higher Education Code to [Prevent and Eliminate Gender-Based Violence](https://www.sydney.edu.au/about-us/vision-and-values/safety-and-respect/sexual-harm-and-gender-based-violence.html) you will be asked to declare if you have been investigated for, or found to engaged in, sexual harm or gender-based violence in the course of previous employment or in a legal process. Similarly, your ongoing employment is conditional upon the satisfactory maintenance of all relevant clearances and background check requirements. If you do not meet these conditions, the University may take any necessary step, including the termination of your employment. **EEO statement** At the University of Sydney, our shared values are [trust, accountability and excellence](https://www.sydney.edu.au/about-us/vision-and-values.html) and we strive to be a place where everyone can thrive. We are committed to creating a University community that thrives through diversity and reflects the wider community that we serve. We deliver on this through our commitment to [diversity and inclusion](https://www.sydney.edu.au/about-us/vision-and-values/diversity.html), evidenced by our people and culture programs, as well as key strategies to increase participation and support the careers of [Aboriginal and Torres Strait Islander People](https://www.sydney.edu.au/about-us/careers-at-sydney/indigenous-careers.html), [women](https://www.sydney.edu.au/about-us/vision-and-values/diversity/gender-equity.html), [people living with a disability](https://www.sydney.edu.au/about-us/careers-at-sydney/careers-for-people-with-disability.html), [people from culturally and linguistically diverse backgrounds](https://www.sydney.edu.au/about-us/vision-and-values/diversity/cultural-diversity.html), and those who identify as [LGBTQIA+](https://www.sydney.edu.au/about-us/vision-and-values/diversity/lgbtiq-community.html). We welcome applications from candidates from all backgrounds. We are proud to be recognised as an Australian Workplace Equality Index (AWEI) Platinum Employer. [Find out more about our work on diversity and inclusion](http://sydney.edu.au/about-us/vision-and-values/diversity.html). **How to apply** Applications (including a cover letter, CV, and any additional supporting documentation) can be submitted via the **Apply** button at the top of the page. For employees of the University or contingent workers, please login into your [**Workday**](https://sydney.edu.au/workday) account and navigate to the Career icon on your Dashboard. Click on USYD Find Jobs and apply. For a confidential discussion about the role, or if you require reasonable adjustment or any documents in alternate formats, please contact Cherie Goodwin or Rebecca Astar, Recruitment Operations by email to [recruitment.sea@sydney.edu.au](mailto:recruitment.sea@sydney.edu.au) © The University of Sydney Click to view the [Position Description](https://unisyd.sharepoint.com/:b:/s/WorkdayIntegration/IQD8utXHJ82BQ6w-hdJ7RH4HAUCvMH6qfKkrz03hfmhefig?download=1) for this role. **Applications Close** Thursday 21 May 2026 11:59 PM", "summaryDescription" : "Postdoctoral Research Associate – Physics-Informed Learning and Optimisation of Windfarms Dynamics at University of Sydney. Skills: Physics-Informed Learning, Optimisation, Windfarms Dynamics, Machine Learning, Reduced-Order Modelling, Data-Driven Control. develop new approaches to optimisation and control of large-scale windfarms in low-carbon electric power systems, taking into account wake interactions between individual wind turbines. generate and utilize reduced-complexity predictive models", "postedDate" : "2026-05-06T11:21:00.517", "createdAt" : "2026-05-06T11:21:00.507", "lastUpdated" : "2026-05-06T11:24:54.112", "ingestTimestamp" : "2026-05-06T11:21:00.507", "mongoId" : "69fafd2b4c40e2acd188b098", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://usyd.wd105.myworkdayjobs.com/USYD_EXTERNAL_CAREER_SITE/job/Darlington-Campus/Postdoctoral-Research-Associate---Physics-Informed-Learning-and-Optimisation-of-Windfarms-Dynamics_0150446-1", "salaryAnnualMin" : 109263, "salaryAnnualMax" : 121054, "salaryBand" : "100k-150k", "hasSalary" : true, "allSkills" : [ "mathematical skills", "computational skills", "work as a member of a team", "work independently", "Physics-Informed Learning", "Optimisation", "Windfarms Dynamics", "Machine Learning", "Reduced-Order Modelling", "Data-Driven Control", "research", "windfarm dynamics", "low-carbon electric power systems", "wake interactions between individual wind turbines", "computational fluid dynamics", "experimental data", "fluid systems", "machine learning tools", "software libraries" ], "skillCount" : 19, "jobCategory" : "education", "seniorityLevel" : "executive", "dataQualityScore" : 0.8888889, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Tech / AI / Software", "llmIndustryConfidence" : 0.8 }, { "id" : "6a307e76f292fd229c0503ce", "title" : "Postdoctoral Research Associate – Soil and Plant Microbiomes", "company" : "Iowa State University", "industry" : "Education", "salary" : { "min" : 55000.0, "max" : 75000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "The estimation is based on the market baseline for Postdoctoral Research Associate roles in the United States, adjusted for the entry seniority level and the education industry." }, "location" : "Ames, IA", "locations" : [ "Ames, IA", "United States of America" ], "timestamp" : "2026-06-16T12:15:58.974", "fingerprint" : "8d6d6251e59052a5ccf71af6e32f43034c74cf4d9823d4045872617fcc517309", "source" : "workday", "language" : "en", "applyUrl" : "https://isu.wd1.myworkdayjobs.com/IowaStateJobs/job/Ames-IA/Postdoctoral-Research-Associate---Soil-and-Plant-Microbiomes_R19377", "externalId" : "R19377", "industryFunction" : { }, "locationPoint" : "31.52099,-97.77947", "structuredLocations" : [ { "city" : "Ames", "state" : "Iowa", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "42.0267567,-93.6170448" } ], "locationText" : "Ames, Iowa, United States", "employmentType" : "FULL_TIME", "minimumEducation" : "PhD", "technicalSkills" : "Nanopore sequencing, Illumina sequencing, R, Python", "professionalSkills" : [ "Data analysis", "Statistical analysis", "Sample collection", "Data integrity", "Grant writing" ], "hardSkillsList" : [ "Molecular techniques", "Microbial cultivation", "Nitrogen isotope approaches", "Bioinformatic analysis", "Statistical analysis" ], "hardSkills" : [ { "name" : "Molecular techniques", "level" : "intermediate" }, { "name" : "Microbial cultivation", "level" : "intermediate" }, { "name" : "Nitrogen isotope approaches", "level" : "intermediate" }, { "name" : "Bioinformatic analysis", "level" : "intermediate" }, { "name" : "Statistical analysis", "level" : "intermediate" } ], "majorSkills" : "Soil microbiomes, Plant microbiomes, Microbiome analysis, Bioinformatics", "majorSkillsList" : [ "Soil microbiomes", "Plant microbiomes", "Microbiome analysis", "Bioinformatics" ], "coreResponsibilities" : "Design research on soil and plant microbiomes, Conduct research on soil and plant microbiomes, Manage research on soil and plant microbiomes, Use advanced molecular techniques, Coordinate field sample collection, Coordinate laboratory sample collection, Collaborate with research partners, Supervise research assistants, Train research assistants, Perform bioinformatic analyses, Perform statistical analyses, Integrate findings, Interpret biological relationships, Interpret ecological relationships, Prepare data summaries, Prepare reports, Prepare manuscripts, Prepare grant materials, Present research findings", "teamCollaboration" : "Collaborate with research partners", "domainKnowledge" : "Soil microbiomes; Plant microbiomes; Microbial communities; Nitrogen use", "domainList" : [ "soil-microbiomes", "plant-microbiomes", "microbial-communities", "nitrogen-use" ], "domainSpecificKnowledge" : [ "Soil microbiomes", "Plant microbiomes", "Microbial communities", "Nitrogen use" ], "toolProficiency" : [ "R", "Python" ], "communicationSkills" : "Present research findings", "documentationSkills" : "Prepare data summaries; Prepare reports; Prepare manuscripts; Prepare grant materials", "specialRequirements" : "Legally authorized to work in U.S, No sponsorship available", "qualificationsBasic" : "Ph. D. in microbiology or related field", "qualificationsPreferred" : "Experience conducting independent research, Proficiency in DNA/RNA extraction, Library preparation, Sequencing using Nanopore, Sequencing using Illumina platforms, Experience cultivating microbes, Phenotypic characterization, Genotypic characterization, Bioinformatic tools, Pipelines for amplicon sequencing, Microbial whole genome assembly, Microbial annotation", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "## Position Title: Postdoctoral Research Associate – Soil and Plant Microbiomes ## Appointment Type: Post Doc/Trainee ## Job Description: **Summary of Duties and Responsibilities:** The Postdoctoral Research Associate will design, conduct, and manage research on soil and plant root microbiomes using advanced molecular techniques, including Nanopore and Illumina sequencing, microbial cultivation, and nitrogen isotope approaches to quantify microbial and plant nitrogen use. This position will coordinate field and laboratory sample collection efforts, collaborate with research partners, and supervise and train research assistants to ensure high-quality data and sample integrity. The Postdoc will perform bioinformatic and statistical analyses of microbiome, soil, and plant datasets using tools such as R or Python, integrating findings to interpret biological and ecological relationships. The role also includes preparing data summaries, reports, manuscripts, and grant materials, as well as presenting research findings to funding agencies and scientific audiences. **Required Minimum Qualifications:** Ph. D. in microbiology or related field. **Preferred Qualifications:** * Experience conducting independent research involving microbial communities, including proficiency in DNA/RNA extraction, library preparation, and sequencing using Nanopore and/or Illumina platforms. * Experience cultivating microbes under aerobic and hypoxic conditions, including phenotypic and genotypic characterization. * Experience using bioinformatic tools and pipelines for amplicon sequencing-based microbiome analysis, as well as microbial whole genome assembly and annotation. **Department/Program & College Description:** The Department of Plant Pathology and Microbiology and the Department of Entomology officially merged as of September 1, 2022. The new department is known as the Department of Plant Pathology, Entomology, and Microbiology (PPEM). The overall mission of the Department is to benefit society through research, teaching, and extension activities that improve pest management and prevent disease. Collectively, the Department consists of about 100 [faculty, staff, and students](https://www.ppem.iastate.edu/people) who are engaged in research, teaching, and extension activities that are central to the mission of the [College of Agriculture and Life Sciences](https://www.cals.iastate.edu/). **Department Unit/Website:** [Plant Pathology, Entomology and Microbiology](https://www.ppem.iastate.edu/) Candidates must be legally authorized to work in the U.S. on an ongoing basis without sponsorship. Immigration sponsorship is not available for this position. **Application Instructions:** To apply for this position, please click on “Apply” and complete the Employment Application. Please be prepared to enter or attach the following: Resume/Curriculum Vitae Letter of Application/Cover Letter **Why Choose Iowa State University?** Iowa State Employees enjoy comprehensive health and work-life benefits, including medical and dental, as well as: * Retirement benefits including defined benefit and defined contribution plans * Generous vacation, holiday, and sick time and leave plans * Onsite childcare (Ames, Iowa) * Life insurance and long-term disability * Flexible Spending Accounts * Various voluntary benefits and discounts * Employee Assistance Program * Wellbeing program * Iowa State offers WorkFlex options for some positions. WorkFlex offers flexibility on when, where, and how you do your work. For more information, please speak with the Hiring Manager. If you have questions regarding this application process, please email employment@iastate.edu, or call 515-294-4800 or Toll Free: 1-877-477-7485. ## Proposed Start Date: July 1, 2026 ## Number of Months Employed Per Year: 12 Month Work Period ## Time Type: Full time ## Pay Grade: Post Docs ## Original Posting Date: June 15, 2026 ## Posting Close Date: June 21, 2026 ## Job Requisition Number: R19377 Iowa State University does not discriminate on the basis of race, color, age, ethnicity, religion, national origin, pregnancy, sexual orientation, genetic information, sex, marital status, disability, or status as a U.S. Veteran. Inquiries regarding non-discrimination policies may be directed to Office of Equal Opportunity, 2680 Beardshear Hall, 515 Morrill Road, Ames, Iowa 50011, Tel. 515-294-7612, email [eooffice@iastate.edu](mailto:eooffice@iastate.edu). General ISU compensation information can be found on the [University Human Resources](https://www.hr.iastate.edu/careers/compensation) website. Please note that this is only a list of ranges and individuals will be paid commensurate with qualifications.", "summaryDescription" : "Postdoctoral Research Associate – Soil and Plant Microbiomes at Iowa State University. Skills: Soil microbiomes, Plant microbiomes, Microbiome analysis, Bioinformatics. Design research on soil and plant microbiomes. Conduct research on soil and plant microbiomes", "postedDate" : "2026-06-16T03:54:11.230", "createdAt" : "2026-06-16T03:54:11.220", "lastUpdated" : "2026-06-16T12:15:58.974", "ingestTimestamp" : "2026-06-16T03:54:11.220", "mongoId" : "6a307e76f292fd229c0503ce", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://isu.wd1.myworkdayjobs.com/IowaStateJobs/job/Ames-IA/Postdoctoral-Research-Associate---Soil-and-Plant-Microbiomes_R19377", "salaryAnnualMin" : 55000, "salaryAnnualMax" : 75000, "salaryBand" : "50k-75k", "hasSalary" : true, "allSkills" : [ "Molecular techniques", "Microbial cultivation", "Nitrogen isotope approaches", "Bioinformatic analysis", "Statistical analysis", "Soil microbiomes", "Plant microbiomes", "Microbiome analysis", "Bioinformatics", "Data analysis", "Sample collection", "Data integrity", "Grant writing", "Microbial communities", "Nitrogen use", "R", "Python" ], "skillCount" : 17, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "executive", "dataQualityScore" : 0.8888889, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Education", "llmIndustryConfidence" : 0.95 }, { "id" : "6a305571f292fd229cf1f9bd", "title" : "Postdoctoral Research Associate in Medicinal Chemistry", "company" : "2500 Students", "industry" : "Education", "salary" : { "min" : 117936.0, "max" : 117936.0, "currency" : "USD", "frequency" : "yearly" }, "location" : "Australia", "locations" : [ "Australia" ], "timestamp" : "2026-06-16T13:23:03.963", "fingerprint" : "da8ddbbcba4f29b1750426b8c5f9a2e212643bf8f9e19ef90715757957b519f8", "source" : "workday", "language" : "en", "applyUrl" : "https://usyd.wd105.myworkdayjobs.com/USYD_EXTERNAL_CAREER_SITE/job/Camperdown-Campus/Postdoctoral-Research-Associate-in-Medicinal-Chemistry_0152579", "externalId" : "0152579", "industryFunction" : { }, "locationPoint" : "-25.2744,133.7751", "structuredLocations" : [ { "country" : "Australia", "continent" : "oc", "workMode" : "remote" } ], "locationText" : "Australia", "employmentType" : "FULL_TIME", "minimumEducation" : "PhD", "professionalSkills" : [ "Grant writing", "Research excellence" ], "hardSkillsList" : [ "Medicinal chemistry", "Organic chemistry" ], "hardSkills" : [ { "name" : "Medicinal chemistry", "level" : "intermediate" }, { "name" : "Organic chemistry", "level" : "intermediate" } ], "majorSkills" : "Drug discovery, Lead candidate optimization", "majorSkillsList" : [ "Drug discovery", "Lead candidate optimization" ], "coreResponsibilities" : "Undertake research in lead candidate optimization, Publish research papers, Demonstrate research excellence, Assist with grant writing, Assist with publishing original work, Support teaching activities, Supervise undergraduate students, Supervise postgraduate students", "teamCollaboration" : "Member of a team", "domainKnowledge" : "Drug Discovery", "domainList" : [ "drug-discovery" ], "domainSpecificKnowledge" : [ "Drug Discovery" ], "documentationSkills" : "Prepare research papers", "qualificationsBasic" : "PhD in medicinal chemistry or organic chemistry, Equivalent training and experience, Conduct research under supervision, Published research as sole author or collaborator, Research record keeping experience, Prepare research papers, Present seminars", "qualificationsPreferred" : "Near completion of PhD", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "* **X4 Full time, 1 year fixed term opportunity. Located at the School of Chemistry on the Camperdown Campus** * **Opportunity to contribute to research in Drug Discovery** * **Base Salary, Level A Step 6 $117,936 p.a. + 17% superannuation ** **About the opportunity** The School of Chemistry is one of Australia's main centres for chemical research and education. We have access to a comprehensive range of modern research and teaching facilities. The School attracts outstanding undergraduate students, including large numbers of talented students, from all over Australia and has a large cohort of postgraduate research students and offers a vibrant and world class research environment. The School is currently seeking four (4) **Postdoctoral Research Associates in Medicinal Chemistry** with the primary responsibility of working on projects selected by MedChem Australia. Your key responsibilities will be to: * undertake research in lead candidate optimization * publish research papers * demonstrate research excellence * assist with grant writing and publishing original work * support teaching activities and the supervision of undergraduate and postgraduate students. The School of Chemistry at the University of Sydney is a leading Chemistry department in the country, with outstanding staff and students undertaking world-leading teaching and research. Our more than 30 academic staff, 100 research staff, and 100 research students conduct research across the full spectrum of pure an applied chemistry. With the support of 30+ professional, technical and administrative staff, the School of Chemistry administers and delivers undergraduate teaching for about 2500 students. We are committed to creating a diverse workplace by improving equity, access and opportunity, and we are continuously working to identify and remove biases and barriers in an effort to make our workplace open, supportive and safe for everyone. Our research excellence is recognised by numerous prizes and awards to individual staff members and the award of over $7 million in research funding each year. Our staff are also recognised for their outstanding commitment to teaching excellence. Click here to learn more about [School of Chemistry](https://www.sydney.edu.au/science/schools/school-of-chemistry.html) . This position is lab‑based and requires onsite work at the Camperdown campus. **About you** * a PhD (or near completion) in medicinal chemistry or organic chemistry, or a closely related discipline and equivalent combination of relevant training and experience * proven ability to conduct research/scholarly activities under limited supervision either independently or as a member of a team * experience in student supervision at the undergraduate and graduate level * published research as sole author or in collaboration * experience in research record keeping, preparation of research papers and presentation of seminars. **Pre-employment checks** Your employment is conditional upon the successful completion of all pre-employment or background checks required for the role in terms satisfactory to the University. Also, to meet the University’s obligations under the National Higher Education Code to [Prevent and Eliminate Gender-Based Violence](https://www.sydney.edu.au/about-us/vision-and-values/safety-and-respect/sexual-harm-and-gender-based-violence.html) you will be asked to declare if you have been investigated for, or found to engaged in, sexual harm or gender-based violence in the course of previous employment or in a legal process. Similarly, your ongoing employment is conditional upon the satisfactory maintenance of all relevant clearances and background check requirements. If you do not meet these conditions, the University may take any necessary step, including the termination of your employment. **EEO statement** At the University of Sydney, our shared values are [trust, accountability and excellence](https://www.sydney.edu.au/about-us/vision-and-values.html) and we strive to be a place where everyone can thrive. We are committed to creating a University community that thrives through diversity and reflects the wider community that we serve. We deliver on this through our commitment to [diversity and inclusion](https://www.sydney.edu.au/about-us/vision-and-values/diversity.html), evidenced by our people and culture programs, as well as key strategies to increase participation and support the careers of [Aboriginal and Torres Strait Islander People](https://www.sydney.edu.au/about-us/careers-at-sydney/indigenous-careers.html), [women](https://www.sydney.edu.au/about-us/vision-and-values/diversity/gender-equity.html), [people living with a disability](https://www.sydney.edu.au/about-us/careers-at-sydney/careers-for-people-with-disability.html), [people from culturally and linguistically diverse backgrounds](https://www.sydney.edu.au/about-us/vision-and-values/diversity/cultural-diversity.html), and those who identify as [LGBTIQ+](https://www.sydney.edu.au/about-us/vision-and-values/diversity/lgbtiq-community.html). We welcome applications from candidates from all backgrounds. We are proud to be recognised as an Australian Workplace Equality Index (AWEI) Gold employer. [Find out more about our work on diversity and inclusion](http://sydney.edu.au/about-us/vision-and-values/diversity.html). **How to apply** Applications (including a cover letter, CV, and any additional supporting documentation) can be submitted via the **Apply** button at the top of the page. For employees of the University or contingent workers, please login into your [**Workday**](https://sydney.edu.au/workday) account and navigate to the Career icon on your Dashboard. Click on USYD Find Jobs and apply. For a confidential discussion about the role, or if you require reasonable adjustment or any documents in alternate formats, please contact Deepna Chand, Recruitment Operations by email to [recruitment.sea@sydney.edu.au](mailto:recruitment.sea@sydney.edu.au) . **©** The University of Sydney The University reserves the right not to proceed with any appointment. **©** The University of Sydney Click to view the [Position Description](https://unisyd.sharepoint.com/:b:/s/WorkdayIntegration/IQDrX9LOQ5-xQYdw2mEJg8uaAdpB8wyPxoxhEhZ5kGZ-gcQ?download=1) for this role. **Applications Close** Monday 29 June 2026 11:59 PM", "summaryDescription" : "Postdoctoral Research Associate in Medicinal Chemistry at 2500 Students. Skills: Drug discovery, Lead candidate optimization. Undertake research in lead candidate optimization. Publish research papers", "postedDate" : "2026-06-16T03:46:42.792", "createdAt" : "2026-06-16T03:46:42.755", "lastUpdated" : "2026-06-16T13:23:03.963", "ingestTimestamp" : "2026-06-16T03:46:42.755", "mongoId" : "6a305571f292fd229cf1f9bd", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://usyd.wd105.myworkdayjobs.com/USYD_EXTERNAL_CAREER_SITE/job/Camperdown-Campus/Postdoctoral-Research-Associate-in-Medicinal-Chemistry_0152579", "salaryAnnualMin" : 117936, "salaryAnnualMax" : 117936, "salaryBand" : "100k-150k", "hasSalary" : true, "allSkills" : [ "Medicinal chemistry", "Organic chemistry", "Drug discovery", "Lead candidate optimization", "Grant writing", "Research excellence", "Drug Discovery" ], "skillCount" : 7, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "executive", "dataQualityScore" : 0.8888889, "daysOld" : 0, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "Education", "llmIndustryConfidence" : 0.95 }, { "id" : "6a194d5458b93c861e46da8d", "title" : "Senior Developer (Physics Simulation & Optimisation)", "company" : "ToffeeX", "industry" : "Technology", "salary" : { "min" : 85000.0, "max" : 120000.0, "currency" : "GBP", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Senior Developer in London, UK, adjusted for the technology industry and company size." }, "location" : "London, GB", "locations" : [ "London", "GB" ], "timestamp" : "2026-06-16T07:09:56.797", "fingerprint" : "a443af94bb61dfc984373c3e70fa517f296b6a394b5cb54da3a36c9ed5661a10", "source" : "breezyhr", "language" : "en", "applyUrl" : "https://toffeex.breezy.hr/p/06e62dc9cc7a01-senior-developer-physics-simulation-optimisation", "externalId" : "06e62dc9cc7a01", "industryFunction" : { }, "structuredLocations" : [ { "city" : "London", "country" : "United Kingdom", "continent" : "eu", "source" : "llm", "workMode" : "onsite", "geo" : "51.5074456,-0.1277653" } ], "locationText" : "London, United Kingdom", "employmentType" : "FULL_TIME", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "professionalSkills" : [ "Mathematical modeling" ], "majorSkills" : "Physics simulation, Optimisation", "majorSkillsList" : [ "Physics simulation", "Optimisation" ], "coreResponsibilities" : "Develop mathematical models, Implement mathematical models", "domainKnowledge" : "Engineering design", "domainList" : [ "engineering-design" ], "domainSpecificKnowledge" : [ "Engineering design" ], "qualificationsBasic" : "High performance track record", "rawDescription" : "We are seeking outstanding candidates with a strong track record of high performance in academic or industrial settings. You will play a central role in developing and implementing advanced mathematical models that power the ToffeeX engineering design platform. This is an opportunity to work at the", "summaryDescription" : "Senior Developer (Physics Simulation & Optimisation) at ToffeeX. Skills: Physics simulation, Optimisation. Develop mathematical models. Implement mathematical models", "createdAt" : "2026-06-14T18:41:57.729", "lastUpdated" : "2026-06-16T07:09:56.797", "ingestTimestamp" : "2026-06-14T18:41:57.729", "mongoId" : "6a194d5458b93c861e46da8d", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "75k-100k", "hasSalary" : false, "allSkills" : [ "Physics simulation", "Optimisation", "Mathematical modeling", "Engineering design" ], "skillCount" : 4, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Senior", "dataQualityScore" : 0.8888889, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.95 }, { "id" : "6a2176f474d8ee00a0c1b5e0", "title" : "Learning Associate, Learning and Development", "company" : "Q-Express Documents Transport", "industry" : "Fulfillment Associate, Training, no business category", "salary" : { "min" : 130000.0, "max" : 195000.0, "currency" : "AED", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Mid-level Learning Associate in Dubai, UAE, adjusted for the Logistics industry." }, "location" : "Dubai, ARE", "locations" : [ "Dubai, ARE" ], "timestamp" : "2026-06-15T21:45:15.488", "fingerprint" : "f69b11728184f260ef15f3493a6abf94e96cbcdff972effc28e18742d8442d45", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.jobs/jobs/10436689/apply", "externalId" : "cb10edca-58a3-436b-98a1-0badf91997b8", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Dubai", "country" : "United Arab Emirates", "continent" : "as", "source" : "llm", "workMode" : "onsite", "geo" : "25.0742823,55.1885387" } ], "locationText" : "Dubai, United Arab Emirates", "employmentType" : "FULL_TIME", "coreResponsibilities" : "Coordinate training, Execute training, Evaluate processes, Refine processes, Improve learning effectiveness, Improve production, Assist driving training plans, Support Fulfillment Center workforce needs, Act as supervisor, Deliver Instructor training, Deliver observation, Deliver coaching, Keep training records up to date, Ensure training materials are kept, Deliver training materials, Provide positive learning experience, Use data daily, Analyze data daily, Provide feedback to Instructors, Provide feedback to Peer Trainers, Complete tests, Complete audits, Track responses, Organize Instructors assignment, Monitor cross training, Highlight gaps for critical role training, Support operations with critical role training delivery, Improve processes from feedback, Improve processes from data analysis, Support recruitment of Instructors, Support recruitment of Peer Trainers, Attend meetings, Provide information at meetings, Improve new hire performance, Provide feedback for projects, Provide improvements for projects", "teamCollaboration" : "Work with operations; Work with agency managers", "domainKnowledge" : "MEATR standard", "domainList" : [ "meatr-standard" ], "domainSpecificKnowledge" : [ "MEATR standard" ], "toolProficiency" : [ "Microsoft Office", "Excel", "Word", "PowerPoint", "Outlook" ], "communicationSkills" : "Presentation skills", "problemSolvingSkills" : "Data analysis", "specialRequirements" : "Flexible schedules/shifts", "outcomesObjectives" : "Improve learning effectiveness; Improve production; Improve new hire performance", "qualificationsBasic" : "Written and verbal communication, Presentation skills, Microsoft Office proficiency", "qualificationsPreferred" : "Fluent English, Graduate/Post Graduate", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "The Trainer is responsible for the coordination and execution of training for all process paths in the Fulfillment Center. Trainers evaluate and refine processes and techniques to improve learning effectiveness and production across all departments in the building. The Trainer assists in driving the success training plans and supporting the needs of the Fulfillment Center workforce. Prerequisite: · Willing to work flexible schedules / shifts · Act as a supervisor for Instructors and Peer Trainers with new hires · Deliver Instructor training, observation and coaching to the MEATR standard · Ensure training records are kept up to date through the console · Ensure MEATR training materials are kept and delivered against MEATR standard and provide a positive learning experience · Use and analyze data on a daily basis to improve NH learning experience · Feedback to Instructors and Peer Trainers on their delivery and new hire (NH) groups performance · All tests/ audits are completed and responses are tracked · Organize (Instructors assignment) and monitor cross training for the operations to support peak skill requirements · Work with operations on a skill matrix to highlight gaps for critical role training · Support operations with the delivery of critical role training · Improve processes from gathering feedback and analyzing data · Support the recruitment of Instructors and Peer Trainers · Attend meetings when required and provide information required · Work in partnership with the agency managers to improve new hire performance · Support MEATR level projects with feedback and improvements Basic Qualifications: - Experience with written and verbal communication and presentation - Experience using Microsoft Office (Excel, Word, PowerPoint, Outlook) Preferred Qualifications: - Speak, write, and read fluently in English - Graduate/Post Graduate Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.", "summaryDescription" : "Learning Associate, Learning and Development at Q-Express Documents Transport. Coordinate training. Execute training", "postedDate" : "2026-06-14T19:38:38.822", "createdAt" : "2026-06-14T19:38:38.822", "lastUpdated" : "2026-06-15T21:45:15.488", "ingestTimestamp" : "2026-06-14T19:38:38.822", "mongoId" : "6a2176f474d8ee00a0c1b5e0", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://account.amazon.jobs/jobs/10436689/apply", "salaryBand" : "100k-150k", "hasSalary" : false, "allSkills" : [ "MEATR standard", "Microsoft Office", "Excel", "Word", "PowerPoint", "Outlook" ], "skillCount" : 6, "jobCategory" : "operations", "jobSubcategory" : "general", "seniorityLevel" : "Mid", "dataQualityScore" : 0.8888889, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Logistics", "llmIndustryConfidence" : 0.95 }, { "id" : "6a30576ef292fd229cf39acc", "title" : "Research Associate/Senior Research Associate", "company" : "Shennon Biotechnologies", "industry" : "Biotech", "salary" : { "min" : 85000.0, "max" : 125000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Junior/Senior Research Associate in San Francisco, adjusted for the biotech industry and full-time employment." }, "location" : "San Francisco, California, United States", "locations" : [ "San Francisco", "California", "United States" ], "timestamp" : "2026-06-16T06:28:28.227", "fingerprint" : "b0a792f5d096ef29a83485eaa0d36996ff5de6d0c25ed414199101d2e385a8ef", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/shennonbiotechnologies/jobs/5164894007", "externalId" : "5164894007", "industryFunction" : { }, "structuredLocations" : [ { "city" : "San Francisco", "state" : "California", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "37.7879363,-122.4075201" } ], "locationText" : "San Francisco, California, United States", "employmentType" : "FULL_TIME", "minimumEducation" : "Bachelor's", "experienceMinYears" : 2, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "coreResponsibilities" : "Perform experiments, Analyze data, Maintain lab equipment, Document research findings, Collaborate with team members", "domainKnowledge" : "Molecular biology; Cell biology; Biochemistry", "domainList" : [ "molecular-biology", "cell-biology", "biochemistry" ], "domainSpecificKnowledge" : [ "Molecular biology", "Cell biology", "Biochemistry" ], "documentationSkills" : "Research findings", "qualificationsBasic" : "2+ years experience", "rawDescription" : "We are a well-funded biotech startup that has developed a suite of proprietary technologies combining ultrahigh throughput single-cell functional screening with computational AI models to advance the development of immunotherapies for cancer and autoimmune diseases. We are currently looking for a research associate to join our interdisciplinary team. The candidate is expected to adapt quickly and communicate well, especially in a fast-paced startup environment. We pay competitive salaries with bonus and equity, plus full benefits that include medical, dental, vision, 401k match, commuter benefits and daily lunch. Responsibilities: Carry out a variety of cell biology tasks, including mammalian cell culture, virus harvesting, and transfections/transduction of various cell lines. Isolate and engineer primary T cells using different techniques. Perform functional assays to evaluate T cell responses. Assist with molecular cloning tasks including design, PCR, gel extraction, transformation, plasmid preparation, and sequence analysis. Collaborate with team on other experiments when needed. Qualifications: Bachelor’s degree in Molecular Biology, Cell Biology, Biochemistry, Biomedical Engineering or equivalent. Skill sets required: molecular cloning, flow cytometry, ELISA, cell line and primary T cell culture, and lentiviral transduction. 2+ years of industry experience. Responsible, accountable, and detail-oriented Detail oriented, excellent organization skills and communication skills. Nice to haves: Understanding of T cell immunology. Experience with TCE development. Experience with NGS sequencing and analysis. Shennon Bio is an equal opportunity employer, and we welcome applicants from diverse backgrounds to apply. Job Type: Full-time, Mon-Fri Benefits: Daily lunch + Commuter benefits + Health insurance (Medical, Dental and Vision, 100% premium covered for Gold plan) + life insurance, flexible time off and sick leave, unlimited healthy snacks and drinks. Company Culture: Collaboration, Ownership and Authenticity.", "summaryDescription" : "Research Associate/Senior Research Associate at Shennon Biotechnologies. Perform experiments. Analyze data", "postedDate" : "2026-06-15T23:28:28.143", "createdAt" : "2026-06-15T23:28:28.143", "lastUpdated" : "2026-06-16T06:28:28.227", "ingestTimestamp" : "2026-06-15T23:28:28.143", "mongoId" : "6a30576ef292fd229cf39acc", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 85000, "salaryAnnualMax" : 125000, "salaryBand" : "75k-100k", "hasSalary" : true, "allSkills" : [ "Molecular biology", "Cell biology", "Biochemistry" ], "skillCount" : 3, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Junior", "dataQualityScore" : 1.0, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Biotech", "llmIndustryConfidence" : 0.95 }, { "id" : "69dde45b2beec4dd3d9a3f0e", "title" : "Postdoctoral Fellow - Cancer Research", "company" : "City of Hope", "salary" : { "min" : 60000.0, "max" : 85000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for Postdoctoral Fellow in Duarte, CA, adjusted for entry-level seniority in the Biotech industry." }, "location" : "United States-California-Duarte", "locations" : [ "United States-California-Duarte", "Clinical Research", "Onsite, Days, Days" ], "timestamp" : "2026-06-16T04:00:35.089", "fingerprint" : "31db5f3ea22f2cbf9a346dd8b6d0a9473c97d71f460031a072fa010c848ca10e", "source" : "taleo", "language" : "en", "applyUrl" : "https://aa067.taleo.net/careersection/ex/jobdetail.ftl?job=225164", "externalId" : "225164", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Duarte", "state" : "California", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "34.1394513,-117.9772873" } ], "locationText" : "Duarte, California, United States", "minimumEducation" : "PhD", "remoteFriendly" : false, "rawDescription" : "Join the forefront of groundbreaking research at City of Hope where we're changing lives and making a real difference in the fight against cancer, diabetes, and other life-threatening illnesses. Our dedicated and compassionate faculty and staff are driven by a common mission: Contribute to innovative approaches in predicting, preventing, and curing diseases, shaping the future of medicine through cutting-edge research. The Dr. M. James You laboratory in the Department of Pathology at City of Hope is looking for a talented Postdoctoral Fellow to conduct basic and translational research on hematologic malignancies, including leukemias, lymphomas, and myeloid neoplasms. The fellow will lead and support projects focused on the genetic, epigenetic, and molecular mechanisms driving disease initiation and progression, using a combination of mouse models, patient-derived samples, and high-throughput technologies, including next-generation sequencing, flow cytometry, and immunohistochemistry. This position offers a unique opportunity to work at the interface of research and clinical pathology, contribute to high-impact publications, and gain mentorship in translational cancer biology and academic career development. For more information about Dr. You’s lab, please visit here. As a successful candidate, you will: Lead independent and collaborative projects investigating the molecular and cellular basis of hematologic malignancies. Work with mouse models, human tumor samples, and high-throughput technologies (e.g., next-generation sequencing, flow cytometry, and immunohistochemistry). Analyze genomic, transcriptomic, and phenotypic data to identify mechanisms of cancer progression and therapeutic resistance. Collaborate with a multidisciplinary team of scientists, pathologists, and clinicians. Contribute to the preparation of high-impact publications, grant proposals, and scientific presentations. Receive mentorship in experimental design, translational research, and career development. Your qualifications should include: A PhD, MD or MD/PhD in molecular biology, cancer genetics, cancer biology, pathology, immunology, or a related biomedical field. Familiarity with flow cytometry, RNA/DNA analysis, immunohistochemistry, or genomic technologies. Demonstrated productivity through peer-reviewed publications. Preferred qualifications: Strong research background in genetic engineered mouse modeling, molecular and cellular biology; experience with hematologic malignancies or cancer genomics is preferred. City of Hope employees pay is based on the following criteria: work experience, qualifications, and work location. City of Hope is an equal opportunity employer. To learn more about our Comprehensive Benefits, please CLICK HERE . #PD United States-California-Duarte", "summaryDescription" : "Postdoctoral Fellow - Cancer Research at City of Hope", "createdAt" : "2026-06-14T18:52:05.586", "lastUpdated" : "2026-06-16T04:00:35.089", "ingestTimestamp" : "2026-06-14T18:52:05.586", "mongoId" : "69dde45b2beec4dd3d9a3f0e", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 60000, "salaryAnnualMax" : 85000, "salaryBand" : "50k-75k", "hasSalary" : true, "allSkills" : [ ], "skillCount" : 0, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Entry", "dataQualityScore" : 0.5555556, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Biotech", "llmIndustryConfidence" : 0.95 }, { "id" : "6a307f62f292fd229c058aac", "title" : "Director of Research and Engineering, Health and Home", "industry" : "Healthcare", "salary" : { "min" : 250000.0, "max" : 350000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Director of Research and Engineering in Mountain View, CA, adjusted for the healthcare industry and director-level seniority." }, "location" : "[Mountain View, CA, USA, [100 Bay Vw Dr, Mountain View, CA 94043, USA], Mountain View, 94043, CA, US]", "locations" : [ "[Mountain View, CA, USA, [100 Bay Vw Dr, Mountain View, CA 94043, USA], Mountain View, 94043, CA, US]" ], "timestamp" : "2026-06-16T14:40:16.845", "fingerprint" : "2dcff30a13f8a7f568f69f39dde631d8ef18daa225cada80b6537ea1cb693bc4", "source" : "google", "language" : "en", "externalId" : "112964911318868678", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Mountain View", "state" : "California", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "37.3893889,-122.0832101" } ], "locationText" : "Mountain View, California, United States", "experienceLevel" : "Director", "summaryDescription" : "Director of Research and Engineering, Health and Home", "postedDate" : "2026-06-16T01:50:04.497", "createdAt" : "2026-06-16T01:50:04.497", "lastUpdated" : "2026-06-16T14:40:16.845", "ingestTimestamp" : "2026-06-16T01:50:04.497", "mongoId" : "6a307f62f292fd229c058aac", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 250000, "salaryAnnualMax" : 350000, "salaryBand" : "200k+", "hasSalary" : true, "allSkills" : [ ], "skillCount" : 0, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Director", "dataQualityScore" : 0.5555556, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Healthcare", "llmIndustryConfidence" : 0.95 }, { "id" : "6a308f14f292fd229c0a7f04", "title" : "Associate General Counsel (Product and Research)", "company" : "Deepgram", "industry" : "G&A", "salary" : { "min" : 200000.0, "max" : 250000.0, "currency" : "USD", "frequency" : "Yearly" }, "location" : "USA | Remote", "locations" : [ "USA | Remote" ], "timestamp" : "2026-06-16T11:03:47.611", "fingerprint" : "f69243e86bbaa7130b46cd57747b49690135a9aeeb5b693933948c3c2ef1262b", "source" : "ashby", "language" : "en", "applyUrl" : "https://jobs.ashbyhq.com/deepgram/c819e26b-28a4-4373-b50f-272224e36f80/application", "externalId" : "c819e26b-28a4-4373-b50f-272224e36f80", "industryFunction" : { }, "structuredLocations" : [ { "country" : "United States", "continent" : "na", "workMode" : "remote" } ], "locationText" : "United States", "employmentType" : "FULL_TIME", "professionalSkills" : [ "Legal analysis", "Risk management", "Compliance oversight", "Regulatory requirements" ], "majorSkills" : "Legal compliance, Product law, Research law", "majorSkillsList" : [ "Legal compliance", "Product law", "Research law" ], "coreResponsibilities" : "Provide legal counsel, Support product development, Advise on research initiatives, Ensure regulatory compliance, Manage legal risks, Draft and review agreements, Conduct legal research, Assist with litigation", "teamCollaboration" : "Product teams; Research teams; Engineering teams; Cross-functional teams", "domainKnowledge" : "Product law; Research law; Data privacy; Intellectual property; Contract law; Regulatory compliance", "domainList" : [ "product-law", "research-law", "data-privacy", "intellectual-property", "contract-law", "regulatory-compliance" ], "domainSpecificKnowledge" : [ "Product law", "Research law", "Data privacy", "Intellectual property", "Contract law", "Regulatory compliance" ], "communicationSkills" : "Legal advice; Contract negotiation", "documentationSkills" : "Legal documents; Contracts", "problemSolvingSkills" : "Legal problem solving", "remoteFriendly" : true, "workSiteFlexibility" : "Remote", "rawDescription" : "COMPANY OVERVIEW Deepgram is the leading platform underpinning the emerging trillion-dollar Voice AI economy, providing real-time APIs for speech-to-text (STT), text-to-speech (TTS), and building production-grade voice agents at scale. More than 200,000 developers and 1,300+ organizations build voice offerings that are ‘Powered by Deepgram’, including Twilio, Cloudflare, Sierra, Decagon, Vapi, Daily, Cresta, Granola, and Jack in the Box. Deepgram’s voice-native foundation models are accessed through cloud APIs or as self-hosted and on-premises software, with unmatched accuracy, low latency, and cost efficiency. Backed by a recent Series C led by leading global investors and strategic partners, Deepgram has processed over 50,000 years of audio and transcribed more than 1 trillion words. There is no organization in the world that understands voice better than Deepgram. COMPANY OPERATING RHYTHM At Deepgram, we expect an AI-first mindset—AI use and comfort aren’t optional, they’re core to how we operate, innovate, and measure performance. Every team member who works at Deepgram is expected to actively use and experiment with advanced AI tools, and even build your own into your everyday work. We measure how effectively AI is applied to deliver results, and consistent, creative use of the latest AI capabilities is key to success here. Candidates should be comfortable adopting new models and modes quickly, integrating AI into their workflows, and continuously pushing the boundaries of what these technologies can do. Additionally, we move at the pace of AI. Change is rapid, and you can expect your day-to-day work to evolve just as quickly. This may not be the right role if you’re not excited to experiment, adapt, think on your feet, and learn constantly, or if you’re seeking something highly prescriptive with a traditional 9-to-5. OPPORTUNITY We're looking for an exceptional lawyer to join our lean, high-impact legal team and lead legal work across our models and the products built on them. This role is for someone who thrives at the intersection of law and model development — a builder with sharp instincts and sound judgment who is steady under ambiguity and fluent in product. Our legal team has a real seat at the table. You'll partner with our research and data teams on the novel legal questions inside model development, and advise our product teams on the experiences we put in front of users. You'll help Deepgram move at the speed of an ambitious voice AI company while keeping pace with the AI legal frameworks coming online internationally. Many of the questions in our space don't have settled answers yet. That's the best part of the job. You'll think them through from first principles, design the frameworks that let us scale, and help Deepgram continue to earn its place as the trusted leader in voice AI. This role is ideal for someone with genuine conviction that voice is the most consequential interface with AI, and who wants to spend the next phase of their career on the legal questions that will define it. You'll be the third lawyer on our team, reporting directly to our General Counsel and helping establish a legal function that scales with a company on a steep trajectory, using AI as your default mode of working to set the standard for what AI-native legal work looks like. What You’ll Do - Be the go-to counsel for our data and research teams on the legal questions inside model development, and design the frameworks that let research move fast with confidence - Partner with our product teams to ship products and features that delight our users. - Draft and review the consumer-facing terms, policies, disclosures, and marketing that go with our products — written for customers, not lawyers - Continue building out our privacy program — and tell its story to customers — to deepen customer trust in our products - Stay ahead of the AI legal frameworks developing internationally, translate developments into principles and policies our teams can act on, and help Deepgram develop a clear point of view on responsible AI development - Develop deep expertise across the legal questions defining AI today, and help advance how our company, and the broader field, thinks about them - Build the AI-native legal function at Deepgram with workflows and systems that scale our team’s impact You'll Love This Role If You - Are passionate about AI and the ability to work alongside cutting-edge researchers and engineering teams - Get energized by being the first — building systems from scratch, establishing foundational practices, and turning novel legal questions into ones with answers - Are very practical in addressing legal issues and allergic to unnecessary friction - Have an abiding spirit of idealism about your chosen profession — you're not just answering legal questions, you're building something that matters - Have a point of view on what good lawyering looks like and a healthy sense of humor about everything else It's Important To Us That You Have - JD from a U.S. accredited law school and 7–15 years of experience in legal practice (or more), in-house, at a firm, or both - Demonstrated experience counseling product, research, or engineering teams on the legal questions that come up in how AI gets built and deployed - Fluency in the issues that matter most to us: privacy, IP, data licensing, consumer protection, and the international AI regulatory landscape. Depth in some, excited to learn the rest - Recognize that law is about the grey areas, and are comfortable living in them, while giving clear and actionable advice - An AI-native legal practice — workflows you've built into your own work, not just tools you've used - Exceptional writing — precise, plain, and compelling It Would Be Great If You Had - Hands-on experience at a foundation model company or AI research lab — you've seen how legal questions actually arise inside model development - Depth in one or more emerging AI regulatory regimes (EU AI Act, US states, UK, APAC) We read cover letters! If you want to stand out: Tell us about a novel legal question you worked through without a playbook — how you reasoned through it and where you landed. BENEFITS & PERKS* HOLISTIC HEALTH - Medical, dental, vision benefits - Annual wellness stipend - Mental health support - Life, STD, LTD Income Insurance Plans WORK/LIFE BLEND - Unlimited PTO - Parental leave - Flexible schedule - 12 Paid US company holidays - Quarterly personal productivity stipend - One-time stipend for home office upgrades - 401(k) plan with company match - Tax Savings Programs CONTINUOUS LEARNING - Learning / Education stipend - Participation in talks and conferences - Employee Resource Groups - AI enablement workshops / sessions *For candidates outside of the US, we use an Employer of Record model in many countries, which means benefits are administered locally and governed by country-specific regulations. Because of this, benefits will differ by region — in some cases international employees receive benefits US employees do not, and vice versa. As we scale, we will continue to evaluate where we can create more alignment, but a 1:1 global benefits structure is not always legally or operationally possible. Backed by prominent investors including Y Combinator, Madrona, Tiger Global, Wing VC and NVIDIA, Deepgram has raised over $215M in total funding. If you're looking to work on cutting-edge technology and make a significant impact in the AI industry, we'd love to hear from you! Deepgram is an equal opportunity employer. We want all voices and perspectives represented in our workforce. We are a curious bunch focused on collaboration and doing the right thing. We put our customers first, grow together and move quickly. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, gender identity or expression, age, marital status, veteran status, disability status, pregnancy, parental status, genetic information, political affiliation, or any other status protected by the laws or regulations in the locations where we operate. We are happy to provide accommodations for applicants who need them.", "summaryDescription" : "Associate General Counsel (Product and Research) at Deepgram. Skills: Legal compliance, Product law, Research law. Provide legal counsel. Support product development", "createdAt" : "2026-06-16T02:00:20.357", "lastUpdated" : "2026-06-16T11:03:47.611", "ingestTimestamp" : "2026-06-16T02:00:20.357", "mongoId" : "6a308f14f292fd229c0a7f04", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 200000, "salaryAnnualMax" : 250000, "salaryBand" : "200k+", "hasSalary" : true, "allSkills" : [ "Legal compliance", "Product law", "Research law", "Legal analysis", "Risk management", "Compliance oversight", "Regulatory requirements", "Data privacy", "Intellectual property", "Contract law", "Regulatory compliance" ], "skillCount" : 11, "jobCategory" : "operations", "jobSubcategory" : "legal", "seniorityLevel" : "Manager", "dataQualityScore" : 0.7777778, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.98 }, { "id" : "6a2c76fb74d8ee00a093b689", "title" : "Member of Research Staff, Reinforcement Learning", "company" : "Voleon Securities", "industry" : "Securities", "salary" : { "min" : 250000.0, "max" : 275000.0, "currency" : "USD", "frequency" : "Yearly" }, "location" : "Berkeley, CA", "locations" : [ "Berkeley, CA", "New York City, NY" ], "timestamp" : "2026-06-15T04:56:36.367", "fingerprint" : "6ca3ae73d82dd83bacacc09099d6a60c5a36e9d5100bf584df46c85a5ae2bbad", "source" : "ashby", "language" : "en", "applyUrl" : "https://jobs.ashbyhq.com/voleon/2fd7bb8f-622d-415a-b47a-b8d8fe671729/application", "externalId" : "2fd7bb8f-622d-415a-b47a-b8d8fe671729", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Berkeley", "state" : "California", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "37.8708393,-122.2728630" } ], "locationText" : "Berkeley, California, United States", "employmentType" : "FULL_TIME", "minimumEducation" : "Master's", "experienceMinYears" : 2, "experienceMaxYears" : 5, "experienceLevel" : "Mid", "technicalSkills" : "AI, ML, Python, GPUs", "professionalSkills" : [ "Research innovations", "Model optimization", "Data analysis", "Model validation", "Productionizing solutions" ], "hardSkillsList" : [ "Reinforcement learning", "Optimal control", "Statistical machine learning", "Financial market prediction", "Portfolio optimization" ], "hardSkills" : [ { "name" : "Reinforcement learning", "level" : "intermediate" }, { "name" : "Optimal control", "level" : "intermediate" }, { "name" : "Statistical machine learning", "level" : "intermediate" }, { "name" : "Financial market prediction", "level" : "intermediate" }, { "name" : "Portfolio optimization", "level" : "intermediate" } ], "majorSkills" : "Reinforcement Learning, AI/ML, Financial Markets", "majorSkillsList" : [ "Reinforcement Learning", "AI/ML", "Financial Markets" ], "coreResponsibilities" : "Develop understanding of Voleon's challenges, Propose RL research innovations, Build models, Maintain models, Optimize models, Prepare datasets, Analyze datasets, Assess predictive efficacy, Develop new models, Validate new models, Implement new models, Design experiments, Conduct experiments, Improve simulations, Evaluate model success, Communicate effectively, Collaborate effectively, Drive progress, Keep up to date on RL research, Identify novel approaches", "teamCollaboration" : "With other Members of Research Staff; With Software Engineers", "domainKnowledge" : "Financial markets; Securities markets; Applied machine learning; Modern statistical machine learning", "domainList" : [ "financial-markets", "securities-markets", "applied-machine-learning", "modern-statistical-machine-learning" ], "domainSpecificKnowledge" : [ "Financial markets", "Securities markets", "Applied machine learning", "Modern statistical machine learning" ], "communicationSkills" : "Communicate effectively", "innovationCreativity" : "RL research innovations; New methodology development", "problemSolvingSkills" : "Solve large-scale computing problems", "specialRequirements" : "Relocation eligibility, Work visa eligibility", "outcomesObjectives" : "Validate efficacy in live trading", "qualificationsBasic" : "Background in reinforcement learning, Track record of publishing RL papers, Evidence of mathematical abilities, Interest in software development, Willingness to write production code, Ability to solve large-scale computing problems, Ph. D. level coursework required", "qualificationsPreferred" : "Ph. D. degree preferred, Prior finance industry experience preferred", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Voleon Securities, a new business within the Voleon Group, provides liquidity in securities markets. We apply state-of-the-art AI/ML techniques to construct our liquidity-provision strategies. For nearly two decades, our affiliate Voleon Capital Management has led the hedge fund industry and worked at the frontier of applying AI/ML to investment management, becoming a multibillion-dollar asset manager. Voleon Securities builds on Voleon’s deep real-world experience applying ML to financial markets. Voleon Securities is looking to add an experienced and creative reinforcement learning researcher to our growing ML research group. We welcome researchers with both strong theoretical foundations and experience developing and scaling RL in industrial settings. Financial applications of RL are challenging and demand new methods that go beyond the academic state-of-the-art; it is critical candidates have a deep understanding of the field to draw inspiration for new methodology. This is a chance to join the initial buildout of a fully modern securities business rooted in the frontier of AI/ML and statistics. Your colleagues will include internationally recognized experts in artificial intelligence and machine learning research as well as highly experienced finance and technology professionals. As a Member of Research Staff, you will work at the forefront of modern statistical machine learning. Your research colleagues across Voleon have collectively published hundreds of academic articles in top-tier venues on machine learning, systems, and theory, and we meet regularly to stay current on the latest academic research and share ideas. Founded in 2007 by two leading scientists, Voleon supports a culture of curiosity, collegiality, and creativity. Your work will focus on financial market prediction and portfolio optimization. The behavior of financial markets is noisy and violates a number of classical statistical assumptions, and we’ve spent over a decade pioneering scientific advances in the application of machine learning techniques to this domain. You will work with a complex and diverse array of datasets to implement and iterate on predictive models. Predicting financial markets is an enduringly hard problem, but results are immediate and unambiguous. Years of academic training has prepared you for this moment. You won’t just conduct research, you’ll apply it on a daily basis, working with a team across the entire life cycle of applied research problems. Your work will span from basic research to productizing solutions and validating their efficacy in live trading. *** Relocation and work visa eligibility for qualified candidates*** RESPONSIBILITIES - Develop a rich understanding of Voleon’s challenges and methodologies and propose RL research innovations and experiments to build, maintain and optimize the models that govern our trading strategy - Prepare and analyze new datasets to assess their predictive efficacy - Develop, validate, and implement new models in production - Design and conduct experiments to improve simulations and evaluate the success of new models in a live environment - Communicate and collaborate effectively with other Members of Research Staff and Software Engineers at each stage, driving progress towards tangible outcomes - Keep up to date on the latest RL academic research to identify novel approaches to explore for application to our domain REQUIREMENTS - Background in reinforcement learning or optimal control with a strong track record of publishing RL papers in top tier conferences - Evidence of strong mathematical abilities (e.g., publication record, graduate coursework, or competition placement) - Interest in software development techniques and willingness to write production-level code (Python) - Ability to solve large-scale computing problems with GPUs - Eagerness to work in a fast paced and growing business - Interest in financial applications is essential, but prior finance industry experience is not a pre-requisite - Ph.D. level coursework is required, and a Ph.D. degree in a relevant field is preferred “FRIENDS OF VOLEON” CANDIDATE REFERRAL PROGRAM If you have a great candidate in mind for this role and would like to have the potential to earn $15,000 if your referred candidate is successfully hired and employed by The Voleon Group, please use this form https://voleon.com/referrals/ to submit your referral. For more details regarding eligibility, terms and conditions please make sure to review the Voleon Referral Bonus Program https://voleon.com/assets/Voleon-Referral-Bonus-Program.pdf. EQUAL OPPORTUNITY EMPLOYER The Voleon Group is an Equal Opportunity employer. Applicants are considered without regard to race, color, religion, creed, national origin, age, sex, gender, marital status, sexual orientation and identity, genetic information, veteran status, citizenship, or any other factors prohibited by local, state, or federal law. #LI-MD1 ", "summaryDescription" : "Member of Research Staff, Reinforcement Learning at Voleon Securities. Skills: Reinforcement Learning, AI/ML, Financial Markets. Develop understanding of Voleon's challenges. Propose RL research innovations", "createdAt" : "2026-06-14T03:57:51.530", "lastUpdated" : "2026-06-15T04:56:36.367", "ingestTimestamp" : "2026-06-14T03:57:51.530", "mongoId" : "6a2c76fb74d8ee00a093b689", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 250000, "salaryAnnualMax" : 275000, "salaryBand" : "200k+", "hasSalary" : true, "allSkills" : [ "Reinforcement learning", "Optimal control", "Statistical machine learning", "Financial market prediction", "Portfolio optimization", "Reinforcement Learning", "AI/ML", "Financial Markets", "Research innovations", "Model optimization", "Data analysis", "Model validation", "Productionizing solutions", "Financial markets", "Securities markets", "Applied machine learning", "Modern statistical machine learning" ], "skillCount" : 17, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Senior", "dataQualityScore" : 0.8888889, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "FinTech", "llmIndustryConfidence" : 0.98 }, { "id" : "6a307f57f292fd229c058183", "title" : "Postdoctoral Fellow", "industry" : "Clinical", "salary" : { "min" : 55000.0, "max" : 60000.0, "currency" : "USD", "frequency" : "yearly" }, "location" : "New York, NY", "locations" : [ "New York, NY", "Bronx, NY", "Rochester, NY", "Albany, NY", "Yonkers, NY" ], "certifications" : [ "APA-accredited pre-doctoral internship" ], "timestamp" : "2026-06-16T15:07:12.362", "fingerprint" : "faa9269d7b97ee855142f5ec61e0962e49878a786bfda538d17e5db02cb2b5f1", "source" : "lever", "language" : "en", "applyUrl" : "https://jobs.lever.co/athenapsych/c85774c2-78bd-42c6-ba4e-6227eb87b61e/apply", "externalId" : "c85774c2-78bd-42c6-ba4e-6227eb87b61e", "industryFunction" : { }, "structuredLocations" : [ { "city" : "New York", "state" : "New York", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "40.7127281,-74.0060152" } ], "locationText" : "New York, New York, United States", "employmentType" : "FULL_TIME", "minimumEducation" : "PhD", "technicalSkills" : "Excel, G-Suite", "professionalSkills" : [ "Clinical supervision", "Treatment planning", "Psychological testing", "Quality improvement" ], "hardSkillsList" : [ "Individual therapy", "Group therapy", "Intake interviews" ], "softSkillsList" : [ "Interpersonal skills", "Communication skills" ], "hardSkills" : [ { "name" : "Individual therapy", "level" : "intermediate" }, { "name" : "Group therapy", "level" : "intermediate" }, { "name" : "Intake interviews", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Interpersonal skills" }, { "name" : "Communication skills" } ], "majorSkills" : "Clinical Psychology, Therapy delivery", "majorSkillsList" : [ "Clinical Psychology", "Therapy delivery" ], "coreResponsibilities" : "Provide clinical hours, Collaborate with multidisciplinary team, Develop treatment plans, Implement treatment plans, Provide coordinated care, Provide supplemental clinical supervision, Deliver didactic presentations, Complete quality improvement project, Assist facilitating intern seminars, Assist development of intern programming, Perform other related duties", "teamCollaboration" : "Multidisciplinary team; Social workers; Psychiatrists; Nurses; Peers; Clinicians", "domainKnowledge" : "NYS Mandated Reporting; HIPAA Regulations; Privacy statutes; Evidence-based psychology", "domainList" : [ "nys-mandated-reporting", "hipaa-regulations", "privacy-statutes", "evidence-based-psychology" ], "domainSpecificKnowledge" : [ "NYS Mandated Reporting", "HIPAA Regulations", "Privacy statutes", "Evidence-based psychology" ], "communicationSkills" : "Didactic presentations", "documentationSkills" : "Documentation standards", "continuousLearning" : "Ongoing professional development", "qualificationsBasic" : "APA-accredited pre-doctoral internship, Completed PhD or PsyD coursework, NYS psychology limited permit, Knowledge of evidence-based psychology, Knowledgeable in NYS Mandated Reporting, Knowledgeable in HIPAA Regulations, Electronic Medical Record systems experience", "qualificationsPreferred" : "Bilingual in Spanish preferred", "remoteFriendly" : true, "workSiteFlexibility" : "Flexible", "rawDescription" : "## Duties and Responsibilities Responsible for 20-25 clinical hours per week (individual/group therapy, intake interviews, psychological testing as available) Collaborate with a multidisciplinary team, including social workers, psychiatrists, nurses, peers, and other clinicians, to develop and implement treatment plans and provide coordinated care. Provide optional supplemental clinical supervision to MSW/MHC interns secondary to their primary supervision meetings to support additional clinical development. Deliver 2 didactic presentations during the year to clinicians during case conferences Complete a quality improvement project under the supervision of the clinical director Assist in facilitating intern seminars and in the development of intern programming. Other related duties as assigned by the Clinical Director and Athena leadership. ## Qualifications Completion of an APA-accredited pre-doctoral internship prior to post-doc start date. Must have completed all coursework and requirements towards Ph.D. or Psy.D in Clinical or Counseling Psychology. Degree conferral is required prior to official fellowship start date. Obtained NYS psychology limited permit. Knowledge of evidence-based psychology practices. Knowledgeable in NYS Mandated Reporting requirements Knowledgeable in HIPAA Regulations and other relevant privacy statutes. Excellent interpersonal and communication skills. Proven ability to manage multiple priorities and work collaboratively in a team environment. Previous experience using electronic Medical Record systems and documentation standards. Commitment to ongoing professional development and staying current with industry trends. Cultural competence and the ability to work with diverse populations Strong computer skills and proficiency with Word, Excel, G-Suite, and other software/applications. Bilingual in Spanish preferred but not required.", "summaryDescription" : "Postdoctoral Fellow. Skills: Clinical Psychology, Therapy delivery. Provide clinical hours. Collaborate with multidisciplinary team", "postedDate" : "2026-06-15T21:53:44.772", "createdAt" : "2026-06-15T21:53:44.772", "lastUpdated" : "2026-06-16T15:07:12.362", "ingestTimestamp" : "2026-06-16T03:25:51.950", "mongoId" : "6a307f57f292fd229c058183", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 55000, "salaryAnnualMax" : 60000, "salaryBand" : "50k-75k", "hasSalary" : true, "allSkills" : [ "Individual therapy", "Group therapy", "Intake interviews", "Interpersonal skills", "Communication skills", "Clinical Psychology", "Therapy delivery", "Clinical supervision", "Treatment planning", "Psychological testing", "Quality improvement", "NYS Mandated Reporting", "HIPAA Regulations", "Privacy statutes", "Evidence-based psychology", "APA-accredited pre-doctoral internship" ], "skillCount" : 16, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Entry", "dataQualityScore" : 0.7777778, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Healthcare", "llmIndustryConfidence" : 0.95 }, { "id" : "6a305649f292fd229cf26dbd", "title" : "Trainer, GSF Learning and development, GSF Learning and development", "company" : "ASSPL", "industry" : "Administrative Support, Training, fulfillment ops", "salary" : { "min" : 750000.0, "max" : 1250000.0, "currency" : "INR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Mid-level Trainer in the Logistics industry in Kolkata, India, adjusted for company size and specific industry." }, "location" : "Kolkata, West Bengal, IND", "locations" : [ "Kolkata, West Bengal, IND" ], "timestamp" : "2026-06-16T06:28:32.436", "fingerprint" : "6ae1b60d864eb5ca61b496579c1505c3ce6a90f60a91d1ec1ecd44cbe9cabaea", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.jobs/jobs/10432718/apply", "externalId" : "78d281b8-68e5-425b-b3c2-0eb7dde9ee16", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Kolkata", "state" : "West Bengal", "country" : "India", "continent" : "as", "source" : "llm", "workMode" : "onsite", "geo" : "22.5726459,88.3638953" } ], "locationText" : "Kolkata, West Bengal, India", "employmentType" : "FULL_TIME", "professionalSkills" : [ "Process management", "Cross-functional coordination", "Vendor management", "Stakeholder management", "Resource planning", "Continuous improvement" ], "hardSkillsList" : [ "Data analysis", "Report generation" ], "hardSkills" : [ { "name" : "Data analysis", "level" : "intermediate" }, { "name" : "Report generation", "level" : "intermediate" } ], "majorSkills" : "Learning and development, Training delivery, Performance management", "majorSkillsList" : [ "Learning and development", "Training delivery", "Performance management" ], "coreResponsibilities" : "Manage L&D activities, Identify knowledge gaps, Recommend ways to meet goals, Support hubs and dark stores, Track site performance, Pre-announce training interventions, Supervise learning metrics, Oversee metric results, Manage live performance metrics, Conduct learning sessions, Deliver training courses, Maintain data and analysis, Generate reports on Excel, Ensure digital training completion, Ensure coaching completion, Ensure performance improvement completion, Partner with operations leaders, Conduct site health checks, Fix gaps on immediate basis, Identify learning coaches, Certify learning coaches, Lead improvement projects, Enhance business performance, Drive Quality metrics, Drive Learning metrics, Conduct zoom sessions, Conduct classroom sessions, Track daily learning metrics, Track daily business metrics, Plan hub visits, Engage with hub POCs, Offer visibility on reporting, Offer visibility on progress updates", "teamCollaboration" : "Operations leaders; Stakeholders", "projectManagementSkills" : [ "Improvement projects" ], "domainKnowledge" : "BQM; ITL", "domainList" : [ "bqm", "itl" ], "domainSpecificKnowledge" : [ "BQM", "ITL" ], "toolProficiency" : [ "Excel", "Zoom" ], "communicationSkills" : "Presentation; Written communication; Verbal communication", "documentationSkills" : "Data maintenance; Analysis reports", "continuousLearning" : "Continuous learning delivery", "innovationCreativity" : "Individual improvement projects", "problemSolvingSkills" : "Identify knowledge gaps; Fix gaps", "outcomesObjectives" : "Meet business goals; Enhance business performance", "qualificationsBasic" : "Written and verbal communication, Presentation skills, Microsoft Office proficiency", "qualificationsPreferred" : "Training Needs Analysis process experience, Assessing performance gaps experience, Analyzing learning needs experience, Designing customer-centric solutions experience, Developing customer-centric solutions experience, Evaluating learning programs effectiveness experience", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Trainer – Kolkata, will be an active member of the learning team in the east. The trainer will be responsible to manage L&D activities for 3P hubs/ Dark stores. Job Responsibilities: 1- Own business goals and intervene by identifying knowledge gaps to be filled. 2- Proactively recommend ways and support the mapped Hubs and dark stores towards meeting business goals. 3- Proactively track mapped sites performance and pre-announce training interventions. 4- Supervise structured learning metrices and also oversee their results for the assigned sites. 5- Managing live performance metrices end to end for the assigned sites. 6- Conducting learning session on new process as well as BQM through ITL or digital learning as per the requirement. Deliver various training courses as continuous learning to the site L&D 7- Maintaining data and analysis through reports on excel (as per business requirement) 8- Ensure completion of digital new hire training program, coaching & other performance improvement programs on time. 9- Partners with operations leaders while conducting site health check and fix the gaps on an immediate basis. 10- Identifying learning coaches & certifying them. 11- Lead the individual improvement projects to enhance the business performance. 12- Drive Quality & Learning metrics 13- Conducting zoom & Class room sessions for the stake holders Key job responsibilities 1- Own business goals and intervene by identifying knowledge gaps to be filled. 2- Proactively recommend ways and support the mapped Hubs and dark stores towards meeting business goals. 3- Proactively track mapped sites performance and pre-announce training interventions. 4- Supervise structured learning metrices and also oversee their results for the assigned sites. 5- Managing live performance metrices end to end for the assigned sites. 6- Conducting learning session on new process as well as BQM through ITL or digital learning as per the requirement. Deliver various training courses as continuous learning to the site L&D 7- Maintaining data and analysis through reports on excel (as per business requirement) 8- Ensure completion of digital new hire training program, coaching & other performance improvement programs on time. 9- Partners with operations leaders while conducting site health check and fix the gaps on an immediate basis. 10- Identifying learning coaches & certifying them. 11- Lead the individual improvement projects to enhance the business performance. 12- Drive Quality & Learning metrics 13- Conducting zoom & Class room sessions for the stake holders A day in the life Track the day to day learning & business metrics and plan to visit the mapped hubs for metric improvement Involve and engage well with mapped hub POCs Offer visibility on daily reporting and progress updates Basic Qualifications: - Experience with written and verbal communication and presentation - Experience using Microsoft Office (Excel, Word, PowerPoint, Outlook) Preferred Qualifications: - Experience using using the Training Needs Analysis process, including assessing performance gaps, analyzing learning needs, designing and developing customer-centric solutions, and evaluating the effectiveness of learning programs Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.", "summaryDescription" : "Trainer, GSF Learning and development, GSF Learning and development at ASSPL. Skills: Learning and development, Training delivery, Performance management. Manage L&D activities. Identify knowledge gaps", "postedDate" : "2026-06-15T22:01:25.093", "createdAt" : "2026-06-15T22:01:25.093", "lastUpdated" : "2026-06-16T06:28:32.436", "ingestTimestamp" : "2026-06-15T22:01:25.093", "mongoId" : "6a305649f292fd229cf26dbd", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://account.amazon.jobs/jobs/10432718/apply", "salaryBand" : "200k+", "hasSalary" : false, "allSkills" : [ "Data analysis", "Report generation", "Learning and development", "Training delivery", "Performance management", "Process management", "Cross-functional coordination", "Vendor management", "Stakeholder management", "Resource planning", "Continuous improvement", "Improvement projects", "BQM", "ITL", "Excel", "Zoom" ], "skillCount" : 16, "jobCategory" : "operations", "jobSubcategory" : "general", "seniorityLevel" : "Mid", "dataQualityScore" : 0.8888889, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Logistics", "llmIndustryConfidence" : 0.92 }, { "id" : "69dde45c2beec4dd3d9a3f72", "title" : "Postdoctoral Fellow - Genomics Research", "company" : "City of Hope", "industry" : "Biotech", "salary" : { "min" : 60000.0, "max" : 85000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for entry-level Postdoctoral Fellows in the United States, adjusted for the biotech industry and a major metropolitan area." }, "location" : "United States-California-Duarte", "locations" : [ "United States-California-Duarte", "Research", "Onsite, Days, Days" ], "timestamp" : "2026-06-15T07:21:51.775", "fingerprint" : "cf6099719a91d423c29c09f94766d6ff98ba227fa2da6a146eace10eb6b25bcc", "source" : "taleo", "language" : "en", "applyUrl" : "https://aa067.taleo.net/careersection/ex/jobdetail.ftl?job=228744", "externalId" : "228744", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Duarte", "state" : "California", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "34.1394513,-117.9772873" } ], "locationText" : "Duarte, California, United States", "minimumEducation" : "PhD", "technicalSkills" : "R, Python, Linux", "professionalSkills" : [ "Data analysis", "Biological interpretation", "Method development" ], "hardSkillsList" : [ "Genomics data analysis", "Single cell RNA-seq", "ATAC-seq", "CHIP-seq", "Spatial transcriptomics", "HiC", "HiCHIP", "RIBO-seq", "Long reads sequencing", "Multiomics integration" ], "hardSkills" : [ { "name" : "Genomics data analysis", "level" : "intermediate" }, { "name" : "Single cell RNA-seq", "level" : "intermediate" }, { "name" : "ATAC-seq", "level" : "intermediate" }, { "name" : "CHIP-seq", "level" : "intermediate" }, { "name" : "Spatial transcriptomics", "level" : "intermediate" }, { "name" : "HiC", "level" : "intermediate" }, { "name" : "HiCHIP", "level" : "intermediate" }, { "name" : "RIBO-seq", "level" : "intermediate" }, { "name" : "Long reads sequencing", "level" : "intermediate" }, { "name" : "Multiomics integration", "level" : "intermediate" } ], "majorSkills" : "Genomics data analysis, Computational methods, Machine learning", "majorSkillsList" : [ "Genomics data analysis", "Computational methods", "Machine learning" ], "coreResponsibilities" : "Perform collaborative research, Analyze genomics data, Develop computational methods, Integrate multiomics data", "teamCollaboration" : "Collaborative research", "domainKnowledge" : "Diabetes mechanisms; Genomics; Single cell RNA-seq; CHIP-seq; ATAC-seq; Spatial transcriptomics; HiC; HiCHIP; RIBO-seq; Long reads sequencing", "domainList" : [ "diabetes-mechanisms", "genomics", "single-cell-rna-seq", "chip-seq", "atac-seq", "spatial-transcriptomics", "hic", "hichip", "ribo-seq", "long-reads-sequencing" ], "domainSpecificKnowledge" : [ "Diabetes mechanisms", "Genomics", "Single cell RNA-seq", "CHIP-seq", "ATAC-seq", "Spatial transcriptomics", "HiC", "HiCHIP", "RIBO-seq", "Long reads sequencing" ], "toolProficiency" : [ "Oxford Nanopore" ], "qualificationsBasic" : "Ph. D. in Bioinformatics, Genomics data analysis experience, R/Python programming proficiency, Linux HPC experience", "qualificationsPreferred" : "Machine learning methods experience, PhD preferred", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Join the forefront of groundbreaking research at the Beckman Research Institute of City of Hope, where we're changing lives and making a real difference in the fight against cancer, diabetes, and other life-threatening illnesses. Our dedicated and compassionate faculty and staff are driven by a common mission: Contribute to innovative approaches in predicting, preventing, and curing diseases, shaping the future of medicine through cutting-edge research. A Postdoctoral Fellowship position is available immediately at the Arthur Riggs Diabetes and Metabolism Research Institute (ARDMRI) at City of Hope National Medical center under Dr. Supriyo Bhattacharya. Our mission is to advance the next generation of in-silico algorithms for understanding diabetes and related disease mechanisms and identifying actionable therapeutic targets. Interested candidates should apply by emailing their CV and a cover letter describing background and research interests. As a successful candidate, you will: · Perform collaborative research with multiple faculty members at ARDMRI on projects involving genomics data analysis using single cell RNA-seq, CHIP-seq/ATAC-seq, spatial transcriptomics, HiC/HiCHIP, RIBO-seq and next generation long reads sequencing from Oxford Nanopore. · Participate in the development of new computational methods for downstream analysis of genomics data and multiomics integration. Your qualifications should include: · Ph.D. in Bioinformatics or related discipline · Hands on experience in genomics data analysis, including bulk and single cell RNA-seq, ATAC-seq and CHIP-seq. · Expertise in downstream analysis and biological interpretation of bioinformatic findings · Proficiency in R/Python programming, developing analysis pipelines and experience in working with Linux HPCs · Experience in applying machine learning methods to genomics data analysis · Experience in navigating public databases and genomics data repositories · Prior experience and knowledge in diabetes and metabolic disease research would be considered a plus. City of Hope employees pay is based on the following criteria: work experience, qualifications, and work location. City of Hope is an equal opportunity employer. To learn more about our Comprehensive Benefits, please CLICK HERE . United States-California-Duarte", "summaryDescription" : "Postdoctoral Fellow - Genomics Research at City of Hope. Skills: Genomics data analysis, Computational methods, Machine learning. Perform collaborative research. Analyze genomics data", "createdAt" : "2026-06-14T00:50:15.866", "lastUpdated" : "2026-06-15T07:21:51.775", "ingestTimestamp" : "2026-06-14T00:50:15.866", "mongoId" : "69dde45c2beec4dd3d9a3f72", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 60000, "salaryAnnualMax" : 85000, "salaryBand" : "50k-75k", "hasSalary" : true, "allSkills" : [ "Genomics data analysis", "Single cell RNA-seq", "ATAC-seq", "CHIP-seq", "Spatial transcriptomics", "HiC", "HiCHIP", "RIBO-seq", "Long reads sequencing", "Multiomics integration", "Computational methods", "Machine learning", "Data analysis", "Biological interpretation", "Method development", "Diabetes mechanisms", "Genomics", "Oxford Nanopore" ], "skillCount" : 18, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Entry", "dataQualityScore" : 0.6666667, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Biotech", "llmIndustryConfidence" : 0.98 }, { "id" : "69fc49794c40e2acd1a81a18", "title" : "Steering, Optimisation and Clearing Specialist", "company" : "Mercedes-Benz Australia", "salary" : { "min" : 85000.0, "max" : 115000.0, "currency" : "AUD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Mid-level Steering, Optimisation and Clearing Specialist in the Automotive industry in Laverton North, Australia, adjusted for company size and industry." }, "location" : "Australia-Victoria (Australia)-Laverton North", "locations" : [ "Australia-Victoria (Australia)-Laverton North", "161-163 Boundary Road,Parts Wa, Parts Warehouse Laverton, Laverton North" ], "timestamp" : "2026-06-15T23:59:30.190", "fingerprint" : "8702ab3c030ab1cf7b11fa1cb093f41fee663608bcfede4fe952f2e0298e533a", "source" : "taleo", "language" : "en", "applyUrl" : "https://daimler.taleo.net/careersection/ex/jobdetail.ftl?job=873595", "externalId" : "873595", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Laverton North", "state" : "Victoria", "country" : "Australia", "continent" : "oc", "source" : "llm", "workMode" : "onsite", "geo" : "-37.8300705,144.7869487" } ], "locationText" : "Laverton North, Victoria, Australia", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "The Role At Mercedes-Benz we strive for the best – or nothing, and to be the best we need exceptionally talented, bright, and driven people. We are currently seeking a Steering, Optimisation and Clearing Specialist to join the onsite Mercedes-Benz Australia Global Customer Service and Parts (GCSP) Logistics Operations Division. The team collectively manages our impressive 28,000 square metre National Logistics Centre located in Laverton North, Melbourne where the role is based. By joining our team, you will be involved in all aspects of the operations including warehousing, transportation and supplier management within a role that has plenty of variety with a focus on process optimisation, claim minimisation and reverse logistics. Our ideal candidate will be ready to be immersed in the logistics and supply chain operations of a large iconic brand and moreover, excited to get hands on in a fast paced, multi-faceted operation. Given the enormity of the LC operation, the Logistics Steering Optimisation & Clearing (SOC) Specialist is required to: · Play a pivotal role in optimising our logistics operations through effective data management. · Provide the necessary support to the Mercedes-Benz internal and external customer network, stakeholders and suppliers to ensure customer expectations and internal targets are met. · Ensure that Mercedes-Benz Third Party Logistics (3PL) providers are meeting their contractual requirements, key performance indicators and service levels. · Collaborate with cross-functional teams to integrate data management and automation solutions into existing systems. · Clearing Management: Investigate, process, and resolve claims related to product defects, damages, and customer complaints. Ensure timely and accurate documentation and communication with relevant stakeholders · Return Management: Oversee the return process, including authorisation, inspection, and restocking of returned items. Streamline return procedures and enhance customer satisfaction. · Data Analysis: Utilise data analytics to identify trends, improve processes, and support decision-making. Generate reports and provide insights to management on claims, returns, and inventory performance. · Compliance: Ensure all processes adhere to company policies, industry regulations, and quality standards. Key duties & responsibilities Procedure, Analysis & Optimisation Project management of continuous improvement & optimisation ideas for GCSP. Detailed analysis of operational reports to highlight areas of improvement for coordination with the GCSP team for improvement. Coordination of all procedural documentation and improvement of the GCSP task set. Returns, Clearing & Scrapping Develop continuous improvements for the Logistics Centre based on claims data. Manage and administer the vendor claims process, including returns to vendor. Manage and administer 3PL Quality Control (QC) area to ensure timely processing of all items allocated to this area, including system monitoring. Manage and administer Global Logistics Centre (GLC) Annual return process. Ensure claims are processed within agreed timeframes from retailer submission to completion as per 3PL agreement. Manage and administer all scrapping processes, daily, weekly, annual and expired parts. Administer the compliant method of disposal, including all documentation requirements. What you will need to be successful · You’ll be a team player, organized, friendly, have a relationship styled approach in dealing with suppliers and customers with a can-do attitude. · Be able to manage your own workload and able to multi-task · Strong Customer-first approach with strong decision-making skills. · Exceptional attention to detail and analytical mindset towards Logistics operations. · Excellent communication and negotiation abilities. Proven time management skills and the ability to thrive in a fast-paced environment. Proficiency in Power BI, Excel, Word, and PowerPoint. Knowledge of Mercedes-Benz warehousing and transportation operations. Knowledge of Mercedes-Benz SAP, ERP, WMS, and inventory systems (highly desirable). Proven project management and continuous improvement initiatives within a Logistics environment. A degree (or near completion) in Supply Chain, Business, or a related field (highly desirable). Familiarity with Warehouse Occupational Health & Safety (OH&S) (highly regarded). Why you should apply This is an excellent opportunity for a highly motivated, results driven individual with the aspiration to work in an industry-leading environment in a role that has a broad scope of responsibilities. You will be supported by a like-minded team who will strive to coach, mentor and lead you to ensure collective success! Furthermore, you will: · Join a large, global organisation dedicated to inclusivity and diversity. · Enjoy flexible working arrangements to support you in your career, work and life. · Enjoy free on-site parking, discounting car leasing and other great benefits, If you are ready to drive your career forward, please apply with your CV and covering letter. Our team will review, and interview suitable candidates as apply, so to ensure you don’t miss out, please apply sooner rather than later (by latest Monday18th May 2026). At Mercedes-Benz Australia Pacific, we pride ourselves on building and maintaining an inclusive workforce because we believe that our people make the difference. In addition to providing exciting learning and career development opportunities, we prioritise our employees by offering generous benefits. This includes discounted car leasing and purchase options, on-site parking, employee assistance programs and much more. We are committed to a flexible and progressive workplace culture for everyone and are proud to be consistently recognised as an Employer of Choice for Gender Equality. We are an equal opportunity employer, so by joining us, you will be part of a company that embraces differences and where individual contributions are valued. We strive to recognise our committed people through Employee Recognition and Reward programs. We actively encourage applicants with Aboriginal and Torres Strait Islander heritage, those identifying as LGBTIQA+, females, people of all ages, with disabilities and culturally and linguistically diverse people to apply for this opportunity. Mercedes-Benz Australia/Pacific Pty Ltd", "summaryDescription" : "Steering, Optimisation and Clearing Specialist at Mercedes-Benz Australia", "createdAt" : "2026-06-14T20:47:57.517", "lastUpdated" : "2026-06-15T23:59:30.190", "ingestTimestamp" : "2026-06-14T20:47:57.517", "mongoId" : "69fc49794c40e2acd1a81a18", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "75k-100k", "hasSalary" : false, "allSkills" : [ ], "skillCount" : 0, "jobCategory" : "operations", "jobSubcategory" : "general", "seniorityLevel" : "Mid", "dataQualityScore" : 0.5555556, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Automotive", "llmIndustryConfidence" : 0.95 }, { "id" : "69dde45c2beec4dd3d9a3f9a", "title" : "Postdoctoral Fellow - Diabetes, Obesity and Cancer Research", "company" : "City of Hope", "industry" : "Healthcare", "salary" : { "min" : 60000.0, "max" : 85000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "The estimated salary is based on the market baseline for Postdoctoral Fellow positions in the United States, adjusted for entry-level seniority and the biotech industry in Duarte, California." }, "location" : "United States-California-Duarte", "locations" : [ "United States-California-Duarte", "Post-doctoral Research", "Onsite, Days, Days" ], "timestamp" : "2026-06-15T08:24:46.942", "fingerprint" : "dd11d086ff3296f85c728e772cdc4bdd9344d318c1828133edb4387defdf3208", "source" : "taleo", "language" : "en", "applyUrl" : "https://aa067.taleo.net/careersection/ex/jobdetail.ftl?job=208424", "externalId" : "208424", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Duarte", "state" : "California", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "34.1394513,-117.9772873" } ], "locationText" : "Duarte, California, United States", "minimumEducation" : "PhD", "technicalSkills" : "Biochemistry, Molecular biology, Cell culture", "hardSkillsList" : [ "Biochemical techniques", "Molecular biology", "Cell culture", "Animal models" ], "hardSkills" : [ { "name" : "Biochemical techniques", "level" : "intermediate" }, { "name" : "Molecular biology", "level" : "intermediate" }, { "name" : "Cell culture", "level" : "intermediate" }, { "name" : "Animal models", "level" : "intermediate" } ], "majorSkills" : "Diabetes research, Obesity research, Cancer research, Drug discovery", "majorSkillsList" : [ "Diabetes research", "Obesity research", "Cancer research", "Drug discovery" ], "coreResponsibilities" : "Investigate new pathways, Identify new targets, Use genetically engineered mouse models, Use molecular pharmacology tools, Identify novel signaling pathways, Develop new targets for drug discovery", "domainKnowledge" : "Diabetes; Obesity; Cancer; Metabolic mediators; Liver-gut crosstalk; Microbiota crosstalk; MASH; Drug discovery", "domainList" : [ "diabetes", "obesity", "cancer", "metabolic-mediators", "liver-gut-crosstalk", "microbiota-crosstalk", "mash", "drug-discovery" ], "domainSpecificKnowledge" : [ "Diabetes", "Obesity", "Cancer", "Metabolic mediators", "Liver-gut crosstalk", "Microbiota crosstalk", "MASH", "Drug discovery" ], "qualificationsBasic" : "Ph. D. or M. D. degree, Biomedical sciences background, Proficiency in biochemical techniques, Molecular biology skills, Cell culture proficiency, Research experience with animal models", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Join the forefront of groundbreaking research at the Beckman Research Institute of City of Hope, where we're changing lives and making a real difference in the fight against cancer, diabetes, and other life-threatening illnesses. Our dedicated and compassionate faculty and staff are driven by a common mission: Contribute to innovative approaches in predicting, preventing, and curing diseases, shaping the future of medicine through cutting-edge research. A Postdoctoral Fellowship position is readily available in the laboratory of Dr. Wendong Huang in Arthur Riggs Diabetes and Metabolism Research Institute at City of Hope. You will work on projects investigating the new pathways and targets in diabetes/obesity and cancer. The lab uses genetically engineered mouse models and molecular pharmacology tools to identify novel signaling pathways to develop new targets for drug discovery. Our research interests include: 1) Liver-gut and microbiota crosstalk as metabolic mediators in regulating both normal physiology and pathogenesis. 2) Development of novel drugs to treat MASH, diabetes, and cancer. For more information on Dr. Wendong Huang’s research, please visit here . Your qualifications should include: · A Ph.D. or M.D. degree in broad biomedical sciences. · Proficiency in biochemical techniques, molecular biology skills, and cell culture. · Research experience with in vivo animal models. · Evidence of scientific rigor and excellence as documented by peer-reviewed publications. · Good communication skills and fluency in English, both spoken and written. City of Hope employees pay is based on the following criteria: work experience, qualifications, and work location. City of Hope is an equal opportunity employer. To learn more about our Comprehensive Benefits, please CLICK HERE . United States-California-Duarte", "summaryDescription" : "Postdoctoral Fellow - Diabetes, Obesity and Cancer Research at City of Hope. Skills: Diabetes research, Obesity research, Cancer research, Drug discovery. Investigate new pathways. Identify new targets", "createdAt" : "2026-06-14T00:51:38.439", "lastUpdated" : "2026-06-15T08:24:46.942", "ingestTimestamp" : "2026-06-14T00:51:38.439", "mongoId" : "69dde45c2beec4dd3d9a3f9a", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 60000, "salaryAnnualMax" : 85000, "salaryBand" : "50k-75k", "hasSalary" : true, "allSkills" : [ "Biochemical techniques", "Molecular biology", "Cell culture", "Animal models", "Diabetes research", "Obesity research", "Cancer research", "Drug discovery", "Diabetes", "Obesity", "Cancer", "Metabolic mediators", "Liver-gut crosstalk", "Microbiota crosstalk", "MASH" ], "skillCount" : 15, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Entry", "dataQualityScore" : 0.6666667, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Biotech", "llmIndustryConfidence" : 0.95 }, { "id" : "6a25145b74d8ee00a00bb550", "title" : "Learning Associate, Learning and Development", "company" : "Q-Express Documents Transport", "industry" : "Fulfillment Associate, Training, no business category", "salary" : { "min" : 120000.0, "max" : 180000.0, "currency" : "AED", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Mid-level Learning Associate in Dubai, UAE, adjusted for the logistics industry." }, "location" : "Dubai, ARE", "locations" : [ "Dubai, ARE" ], "timestamp" : "2026-06-15T04:07:01.058", "fingerprint" : "c79da262bab76e7a3cee6eba6b1f3f27a32ddb4a9e8e838d31bfa91aadb75a17", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.jobs/jobs/10440669/apply", "externalId" : "7a05f17c-a699-4d7f-af4e-4811300097eb", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Dubai", "country" : "United Arab Emirates", "continent" : "as", "source" : "llm", "workMode" : "onsite", "geo" : "25.0742823,55.1885387" } ], "locationText" : "Dubai, United Arab Emirates", "employmentType" : "FULL_TIME", "coreResponsibilities" : "Coordinate training execution, Evaluate processes, Refine techniques, Improve learning effectiveness, Improve production, Assist driving training plans, Support workforce needs, Act as supervisor, Deliver instructor training, Observe instructors, Coach instructors, Keep training records up to date, Ensure training materials are kept, Deliver training against standard, Provide positive learning experience, Analyze data daily, Improve new hire learning experience, Provide feedback to instructors, Provide feedback on new hire performance, Complete all tests/audits, Track test responses, Organize instructor assignment, Monitor cross training, Highlight gaps for critical role training, Support delivery of critical role training, Improve processes from feedback, Improve processes from data analysis, Support recruitment of instructors, Attend meetings, Provide information at meetings, Partner with agency managers, Improve new hire performance, Support MEATR level projects", "teamCollaboration" : "Work with operations; Work in partnership with agency managers", "domainKnowledge" : "MEATR standard", "domainList" : [ "meatr-standard" ], "domainSpecificKnowledge" : [ "MEATR standard" ], "toolProficiency" : [ "Microsoft Office" ], "communicationSkills" : "Presentation skills", "documentationSkills" : "Keep training records up to date", "innovationCreativity" : "Refine processes; Improve processes", "problemSolvingSkills" : "Analyze data", "specialRequirements" : "Willing to work flexible schedules", "outcomesObjectives" : "Improve learning effectiveness; Improve production; Improve new hire performance", "qualificationsBasic" : "Written and verbal communication, Presentation skills, Microsoft Office experience", "qualificationsPreferred" : "Fluent English, Graduate/Post Graduate", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "The Trainer is responsible for the coordination and execution of training for all process paths in the Fulfillment Center. Trainers evaluate and refine processes and techniques to improve learning effectiveness and production across all departments in the building. The Trainer assists in driving the success training plans and supporting the needs of the Fulfillment Center workforce. Prerequisite: · Willing to work flexible schedules / shifts · Act as a supervisor for Instructors and Peer Trainers with new hires · Deliver Instructor training, observation and coaching to the MEATR standard · Ensure training records are kept up to date through the console · Ensure MEATR training materials are kept and delivered against MEATR standard and provide a positive learning experience · Use and analyze data on a daily basis to improve NH learning experience · Feedback to Instructors and Peer Trainers on their delivery and new hire (NH) groups performance · All tests/ audits are completed and responses are tracked · Organize (Instructors assignment) and monitor cross training for the operations to support peak skill requirements · Work with operations on a skill matrix to highlight gaps for critical role training · Support operations with the delivery of critical role training · Improve processes from gathering feedback and analyzing data · Support the recruitment of Instructors and Peer Trainers · Attend meetings when required and provide information required · Work in partnership with the agency managers to improve new hire performance · Support MEATR level projects with feedback and improvements Basic Qualifications: - Experience with written and verbal communication and presentation - Experience using Microsoft Office (Excel, Word, PowerPoint, Outlook) Preferred Qualifications: - Speak, write, and read fluently in English - Graduate/Post Graduate Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.", "summaryDescription" : "Learning Associate, Learning and Development at Q-Express Documents Transport. Coordinate training execution. Evaluate processes", "postedDate" : "2026-06-13T08:04:18.855", "createdAt" : "2026-06-13T08:04:18.855", "lastUpdated" : "2026-06-15T04:07:01.058", "ingestTimestamp" : "2026-06-13T08:04:18.855", "mongoId" : "6a25145b74d8ee00a00bb550", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://account.amazon.jobs/jobs/10440669/apply", "salaryBand" : "100k-150k", "hasSalary" : false, "allSkills" : [ "MEATR standard", "Microsoft Office" ], "skillCount" : 2, "jobCategory" : "other", "dataQualityScore" : 0.8888889, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true }, { "id" : "69e104422beec4dd3def287e", "title" : "Learning Associate, Learning and Development", "company" : "Q Express Documents Transport LLC", "industry" : "Administrative Support, Training, fulfillment ops", "salary" : { "min" : 165000.0, "max" : 230000.0, "currency" : "AED", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Lead Learning Associate in Logistics in Dubai, UAE, adjusted for seniority and company size." }, "location" : "Dubai, ARE", "locations" : [ "Dubai, ARE" ], "timestamp" : "2026-06-14T23:45:36.459", "fingerprint" : "ba576d043d257455b3c7c3d57388ddf256de7191ff6c977b435a4a8a3ab472b8", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.com/jobs/10385953/apply", "externalId" : "4521fb67-3bc8-44d6-ae18-9ae7b52c4e90", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Dubai", "country" : "United Arab Emirates", "continent" : "as", "source" : "llm", "workMode" : "onsite", "geo" : "25.0742823,55.1885387" } ], "locationText" : "Dubai, United Arab Emirates", "employmentType" : "FULL_TIME", "coreResponsibilities" : "Coordinate training execution, Evaluate processes and techniques, Refine processes and techniques, Assist in driving training plans, Support workforce needs, Act as supervisor for Instructors, Act as supervisor for Peer Trainers, Deliver Instructor training, Deliver observation and coaching, Ensure training records are up to date, Ensure training materials are kept, Deliver training against standard, Provide positive learning experience, Use data to improve learning experience, Analyze data to improve learning experience, Provide feedback to Instructors, Provide feedback to Peer Trainers, Track test and audit completion, Track test and audit responses, Organize Instructor assignments, Monitor cross training for operations, Work with operations on skill matrix, Highlight gaps for critical role training, Support operations with critical role training delivery, Improve processes from feedback, Improve processes from data analysis, Support recruitment of Instructors, Support recruitment of Peer Trainers, Attend meetings when required, Provide information required at meetings, Work in partnership with agency managers, Improve new hire performance, Support AMET level projects, Provide feedback for projects, Provide improvements for projects", "teamCollaboration" : "Work with operations; Partner with agency managers", "toolProficiency" : [ "Microsoft Excel", "Microsoft Word", "Microsoft PowerPoint", "Microsoft Outlook" ], "communicationSkills" : "Written communication; Verbal communication; Presentation", "specialRequirements" : "Willing to work flexible schedules, Willing to work shifts", "qualificationsBasic" : "Written and verbal communication, Presentation skills, Microsoft Office proficiency", "qualificationsPreferred" : "Graduate/Post Graduate degree", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "The Trainer is responsible for the coordination and execution of training for all process paths in the Fulfillment Center. Trainers evaluate and refine processes and techniques to improve learning effectiveness and production across all departments in the building. The Trainer assists in driving the success training plans and supporting the needs of the Fulfillment Center workforce. Prerequisite: · Willing to work flexible schedules / shifts · Act as a supervisor for Instructors and Peer Trainers with new hires · Deliver Instructor training, observation and coaching to the AMET standard · Ensure training records are kept up to date through the console · Ensure AMET training materials are kept and delivered against AMET standard and provide a positive learning experience · Use and analyze data on a daily basis to improve NH learning experience · Feedback to Instructors and Peer Trainers on their delivery and new hire (NH) groups performance · All tests/ audits are completed and responses are tracked · Organize (Instructors assignment) and monitor cross training for the operations to support peak skill requirements · Work with operations on a skill matrix to highlight gaps for critical role training · Support operations with the delivery of critical role training · Improve processes from gathering feedback and analyzing data · Support the recruitment of Instructors and Peer Trainers · Attend meetings when required and provide information required · Work in partnership with the agency managers to improve new hire performance · Support AMET level projects with feedback and improvements Basic Qualifications: - Experience with written and verbal communication and presentation - Experience using Microsoft Office (Excel, Word, PowerPoint, Outlook) Preferred Qualifications: - Graduate/Post Graduate Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.", "summaryDescription" : "Learning Associate, Learning and Development at Q Express Documents Transport LLC. Coordinate training execution. Evaluate processes and techniques", "postedDate" : "2026-06-13T07:29:09.161", "createdAt" : "2026-06-13T07:29:09.161", "lastUpdated" : "2026-06-14T23:45:36.459", "ingestTimestamp" : "2026-06-13T07:29:09.161", "mongoId" : "69e104422beec4dd3def287e", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://account.amazon.com/jobs/10385953/apply", "salaryBand" : "150k-200k", "hasSalary" : false, "allSkills" : [ "Microsoft Excel", "Microsoft Word", "Microsoft PowerPoint", "Microsoft Outlook" ], "skillCount" : 4, "jobCategory" : "operations", "dataQualityScore" : 0.8888889, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true }, { "id" : "69dde45c2beec4dd3d9a3f51", "title" : "Postdoctoral Fellow - Blood Cancer Research", "company" : "City of Hope", "industry" : "Biotech", "salary" : { "min" : 60000.0, "max" : 85000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for Postdoctoral Fellow in Duarte, CA, adjusted for entry-level seniority in the Biotech industry." }, "location" : "United States-California-Duarte", "locations" : [ "United States-California-Duarte", "Post-doctoral Research" ], "timestamp" : "2026-06-15T13:23:43.265", "fingerprint" : "a3e29c29ab6ab1f27197f0853eb144a2ccf658e2edcf707a8fb38f9da2ecd3a1", "source" : "taleo", "language" : "en", "applyUrl" : "https://aa067.taleo.net/careersection/ex/jobdetail.ftl?job=232745", "externalId" : "232745", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Duarte", "state" : "California", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "34.1394513,-117.9772873" } ], "locationText" : "Duarte, California, United States", "minimumEducation" : "PhD", "technicalSkills" : "Multi-omic technologies, Genomic engineering, High-dimensional datasets", "professionalSkills" : [ "Research projects" ], "hardSkillsList" : [ "Single-cell multi-omic analysis", "Genomic engineering analysis" ], "hardSkills" : [ { "name" : "Single-cell multi-omic analysis", "level" : "intermediate" }, { "name" : "Genomic engineering analysis", "level" : "intermediate" } ], "majorSkills" : "Blood cancer research, Computational biology, Multi-omic analysis", "majorSkillsList" : [ "Blood cancer research", "Computational biology", "Multi-omic analysis" ], "coreResponsibilities" : "Lead laboratory-based research projects, Lead computational research projects, Develop multidisciplinary skills, Apply single-cell multi-omic technologies, Apply genomic engineering technologies, Analyze high-dimensional datasets, Identify new biomarkers, Develop new therapeutic targets", "teamCollaboration" : "Highly collaborative environment", "domainKnowledge" : "Tumor biology; Immune biology; Blood cancer; Multiple Myeloma; Lymphoma; Cell therapy; Monoclonal antibodies", "domainList" : [ "tumor-biology", "immune-biology", "blood-cancer", "multiple-myeloma", "lymphoma", "cell-therapy", "monoclonal-antibodies" ], "domainSpecificKnowledge" : [ "Tumor biology", "Immune biology", "Blood cancer", "Multiple Myeloma", "Lymphoma", "Cell therapy", "Monoclonal antibodies" ], "communicationSkills" : "Oral communication; Written communication", "innovationCreativity" : "Innovation; Creativity", "qualificationsBasic" : "Ph.D. degree in life or biomedical sciences, MD degree with comparable research experience, Considerable experience in molecular/cellular biology, Considerable experience in computational biology, Excellent oral communication skills, Excellent written communication skills", "remoteFriendly" : false, "rawDescription" : "Thank you for your interest. Please note, the purpose of this posting is to recruit for on-going and future positions. Join the forefront of groundbreaking research at the Beckman Research Institute of City of Hope, where we're changing lives and making a real difference in the fight against cancer, diabetes, and other life-threatening illnesses. Our dedicated and compassionate faculty and staff are driven by a common mission: Contribute to innovative approaches in predicting, preventing, and curing diseases, shaping the future of medicine through cutting-edge research. A Postdoctoral Fellowship position is available in the RSP Lab l ed by Dr. Sklavenitis Pistofidis. The RSP Lab ( https://rsplab.org ) leverages advanced multi-omic technologies, coupled with experimental perturbations and computational approaches, to decode tumor and immune biology and usher in a new era of biologically informed clinical care for patients with blood cancer, such as Multiple Myeloma. Our laboratory is part of the Judy & Bernard Briskin Center for Multiple Myeloma Research. We collaborate closely with clinicians who treat patients and run clinical trials at the City of Hope National Medical Center in Duarte, as well as other City of Hope centers in Orange County, Chicago, Phoenix, and Atlanta, reinforcing our translational focus and ensuring access to primary samples from a diverse, nation-wide pool of patients. Our high-throughput science is enabled by state-of-the-art facilities for next-generation sequencing and high-performance computing through the Translational Genomics Research Institute (TGen) at City of Hope. To accelerate the development of new therapies, we leverage City of Hope’s unique in-house GMP manufacturing capabilities for cell therapy (CAR-T cells, stem cells, etc.), monoclonal antibodies, and small molecule generation, in line with our vested interest in commercializing our discoveries so that they can reach patients. As a successful candidate, you will: · Lead laboratory-based and computational research projects focusing on multiple myeloma and lymphoma. · Have the opportunity to develop multidisciplinary skills in experimental and computational biology to study blood cancer and the immune system and develop new therapies. · Get to apply advanced single-cell multi-omic and genomic engineering technologies on patient samples or cell lines and analyze high-dimensional datasets to identify new biomarkers of response & resistance to therapy and develop new therapeutic targets. · Conduct your research in a highly collaborative, supportive environment that values innovation, creativity, and quality. Your qualifications should include: · A Ph.D. degree in life or biomedical sciences, bioinformatics, or a related discipline, or an MD degree with comparable research experience. · Considerable experience in molecular/cellular biology and/or computational biology. · Excellent oral and written communication skills. · Ability to meet deadlines, manage their time, and multi-task. · Ability to collaborate, mentor, and work within multi-disciplinary teams of people with varied levels of experience. City of Hope employees pay is based on the following criteria: work experience, qualifications, and work location. City of Hope is an equal opportunity employer. To learn more about our Comprehensive Benefits, please CLICK HERE . United States-California-Duarte", "summaryDescription" : "Postdoctoral Fellow - Blood Cancer Research at City of Hope. Skills: Blood cancer research, Computational biology, Multi-omic analysis. Lead laboratory-based research projects. Lead computational research projects", "createdAt" : "2026-06-14T06:09:26.984", "lastUpdated" : "2026-06-15T13:23:43.265", "ingestTimestamp" : "2026-06-14T06:09:26.984", "mongoId" : "69dde45c2beec4dd3d9a3f51", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 60000, "salaryAnnualMax" : 85000, "salaryBand" : "50k-75k", "hasSalary" : true, "allSkills" : [ "Single-cell multi-omic analysis", "Genomic engineering analysis", "Blood cancer research", "Computational biology", "Multi-omic analysis", "Research projects", "Tumor biology", "Immune biology", "Blood cancer", "Multiple Myeloma", "Lymphoma", "Cell therapy", "Monoclonal antibodies" ], "skillCount" : 13, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Entry", "dataQualityScore" : 0.6666667, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Biotech", "llmIndustryConfidence" : 0.98 }, { "id" : "6a2c6ad074d8ee00a090e3c1", "title" : "Senior Computer Vision and Machine Learning Research Scientist", "company" : "Axon", "salary" : { "min" : 175000.0, "max" : 250000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Senior Computer Vision and Machine Learning Research Scientist in Seattle, adjusted for Axon's industry and size." }, "location" : "Washington, United States", "locations" : [ "Washington", "United States" ], "timestamp" : "2026-06-16T02:12:00.009", "fingerprint" : "4c568079509913b2de3f011009c1ef69cffbe18d6cb376227c461f9ba2561f80", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/axon/jobs/7761541003", "externalId" : "7761541003", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Seattle", "state" : "Washington", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "hybrid", "geo" : "47.6038321,-122.3300620" } ], "locationText" : "Seattle, Washington, United States", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "remoteFriendly" : true, "workSiteFlexibility" : "Remote", "rawDescription" : "Join Axon and be a Force for Good. At Axon, we’re on a mission to Protect Life. We’re explorers, pursuing society’s most critical safety and justice issues with our ecosystem of devices and cloud software. Like our products, we work better together. We connect with candor and care, seeking out diverse perspectives from our customers, communities and each other. Life at Axon is fast-paced, challenging and meaningful. Here, you’ll take ownership and drive real change. Constantly grow as you work hard for a mission that matters at a company where you matter. Your Impact We are seeking a skilled and innovative Senior Research Scientist to join one of our AI teams focusing on computer vision and machine learning (CVML). As a research scientist at Axon you will play a crucial role in developing AI solutions that transform both the enterprise and public safety domains and support our company’s mission: accelerate justice, protect truth, and save lives. You will advance the state-of-the-art in CVML and multimodal technology and apply your research findings to create new responsible AI capabilities for Axon products. You will collaborate with product managers, engineers and cross-functional teams to train models and develop cutting-edge algorithms and solutions that enable intelligent perception and understanding of visual data. At Axon, we Aim Far. We think big with a long-term view because we want to reinvent the world to be a safer, better place. If you’re excited about this role and our mission to Protect Life but your experience doesn’t align perfectly with every qualification listed here, we encourage you to apply anyways. You may be just the right candidate for this or other roles. What You’ll Do Reports to: Director of AI Research Location: This role is based out of our Seattle, WA office and follows a hybrid schedule. We rely on in-person collaboration and ask that team members work onsite Tuesdays through Fridays, with the flexibility to work remotely on Mondays, unless there is an approved workplace accommodation. We believe that connection fuels innovation, and our in-office culture is designed to foster meaningful teamwork, mentorship, and shared success. Collaborate with other scientists, engineers and product managers to build proof-of-concepts to shape the Axon of tomorrow. Lead end-to-end research efforts in advanced computer vision, machine learning and gen-AI techniques for cloud and devices from multimodal data sources, including scene understanding, action recognition and anomaly detection. Design and implement responsible, privacy-preserving, efficient and scalable models for inference and analysis of visual data. Develop performance and quality metrics for CVML models and systems, and validate their effectiveness in real-world settings. Optimize algorithms for performance, memory footprint, and energy efficiency to meet the requirements of resource-constrained devices. Stay up-to-date with the latest research and advances in CVML and translate relevant findings into shipping Axon products. Contribute to academic publications, technical documentation, and patent disclosures to share insights and findings with the broader community. Coach and mentor junior scientists. What You Bring PhD and 3+ years experience in Computer Science or a related field with a focus on computer vision, machine learning, artificial intelligence or related technical fields. Proven track record of research in machine learning, computer vision or related fields. Experience driving the ML development lifecycle and leveraging state-of-the-art research to deliver high quality models at scale. Strong computer vision fundamentals such as image processing, feature extractions, object detection, semantic segmentation, video analysis or action recognition. Excellent problem-solving skills, analytical thinking, and the ability to work independently as well as collaboratively in a team environment. Proficiency in Python and frameworks such as PyTorch, TensorFlow or Keras. Strong communication skills and the ability to effectively present complex technical concepts to both technical and non-technical audiences. Experience in developing computer vision algorithms for resource-constrained edge devices or embedded systems preferred but optional. Benefits that Benefit You Competitive salary and 401k with employer match Discretionary paid time off Paid parental leave for all Medical, Dental, Vision plans Fitness Programs Emotional & Mental Wellness support Learning & Development programs And yes, we have snacks in our offices Benefits listed herein may vary depending on the nature of your employment and the location where you work #LI-Hybrid Axon is a total compensation company, meaning compensation is made up of base pay, bonus, and stock awards. The actual base pay is dependent upon many factors, such as: level, function, training, transferable skills, work experience, business needs, geographic market, and often a combination of all these factors. Our benefits offer an array of options to help support you physically, financially and emotionally through the big milestones and in your everyday life. To see more details on our benefits offerings please visit https://www.axon.com/careers. Base Pay Range $159,750—$255,600 USD Don’t meet every single requirement? That's ok. At Axon, we Aim Far. We think big with a long-term view because we want to reinvent the world to be a safer, better place. We are also committed to building diverse teams that reflect the communities we serve. Studies have shown that women and people of color are less likely to apply to jobs unless they check every box in the job description. If you’re excited about this role and our mission to Protect Life but your experience doesn’t align perfectly with every qualification listed here, we encourage you to apply anyways. You may be just the right candidate for this or other roles. Important Notes The above job description is not intended as, nor should it be construed as, exhaustive of all duties, responsibilities, skills, efforts, or working conditions associated with this job. The job description may change or be supplemented at any time in accordance with business needs and conditions. Some roles may also require legal eligibility to work in a firearms environment. We collect personal information from applicants to evaluate candidates for employment. You may request access, deletion, or exercise other CCPA rights at axongreenhousesupport@axon.com or via our Axon Privacy Web Form. For more information, please see the Your California Privacy Rights section of our Applicant and Candidate Privacy Notice. Axon’s mission is to Protect Life and is committed to the well-being and safety of its employees as well as Axon’s impact on the environment. All Axon employees must be aware of and committed to the appropriate environmental, health, and safety regulations, policies, and procedures. Axon employees are empowered to report safety concerns as they arise and activities potentially impacting the environment. We are an equal opportunity employer that promotes justice, advances equity, values diversity and fosters inclusion. We’re committed to hiring the best talent — regardless of race, creed, color, ancestry, religion, sex (including pregnancy), national origin, sexual orientation, age, citizenship status, marital status, disability, gender identity, genetic information, veteran status, or any other characteristic protected by applicable laws, regulations and ordinances — and empowering all of our employees so they can do their best work. If you have a disability or special need that requires assistance or accommodation during the application or the recruiting process, please email recruitingops@axon.com. Please note that this email address is for accommodation purposes only. Axon will not respond to inquiries for other purposes. Phishing alert: Axon will never ask you to pay for any part of the hiring process, including training, equipment, or background checks. We do not make job offers via text message, WhatsApp, or instant messaging platforms without a formal interview process. All legitimate job openings are listed on our official careers page at https://www.axon.com/careers. If you receive a suspicious offer or outreach from an email address that is not @axon.com, or if you are asked for sensitive personal information (bank details, Social Security Number) prematurely, please ignore the message and report it to recruitingops@axon.com.", "summaryDescription" : "Senior Computer Vision and Machine Learning Research Scientist at Axon", "postedDate" : "2026-06-14T20:07:40.315", "createdAt" : "2026-06-14T20:07:40.315", "lastUpdated" : "2026-06-16T02:12:00.009", "ingestTimestamp" : "2026-06-14T20:07:40.315", "mongoId" : "6a2c6ad074d8ee00a090e3c1", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 175000, "salaryAnnualMax" : 250000, "salaryBand" : "150k-200k", "hasSalary" : true, "allSkills" : [ ], "skillCount" : 0, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Senior", "dataQualityScore" : 0.7777778, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.98 }, { "id" : "6a308ec6f292fd229c0a5231", "title" : "Learning and Development Manager", "company" : "Western Digital", "industry" : "Computer Hardware", "salary" : { "min" : 9500000.0, "max" : 1.4E7, "currency" : "JPY", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Manager in the Technology industry in Fujisawa, Japan, adjusted for seniority and company size." }, "location" : "Fujisawa, Kanagawa, JP", "locations" : [ "Fujisawa", "Kanagawa", "JP" ], "timestamp" : "2026-06-16T12:29:23.880", "fingerprint" : "df573a45da35915cf37ce58a0f8ed85e9a07ab29b9bf5a3a4c010f32c45d5ba9", "source" : "smartrecruiters", "language" : "en", "applyUrl" : "https://jobs.smartrecruiters.com/WesternDigital/744000132123187-learning-and-development-manager-", "externalId" : "744000132123187", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Fujisawa", "state" : "Kanagawa", "country" : "Japan", "continent" : "as", "source" : "llm", "workMode" : "onsite", "geo" : "35.3388615,139.4909335" } ], "locationText" : "Fujisawa, Kanagawa, Japan", "employmentType" : "FULL_TIME", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "mid", "professionalSkills" : [ "Talent management", "Organizational development", "Stakeholder advisory", "Program design", "Learning assessment", "Learning delivery", "Capability building" ], "hardSkillsList" : [ "Learning effectiveness measurement", "Curriculum localization" ], "hardSkills" : [ { "name" : "Learning effectiveness measurement", "level" : "intermediate" }, { "name" : "Curriculum localization", "level" : "intermediate" } ], "majorSkills" : "Learning and Development, Talent Development, Inclusion", "majorSkillsList" : [ "Learning and Development", "Talent Development", "Inclusion" ], "coreResponsibilities" : "Partner with Japan business leaders to align local, Work with HR business partner, experience partner, and, Advise senior Japan stakeholders on training for workforce, Translate capability into practical learning recommendations, Analyze Japan-specific capability gaps, Develop multi-year learning roadmap, Design blended learning solutions, Deliver blended learning solutions, Facilitate learning experiences in Japanese and English, Adapt global curriculum to Japan workplace norms, Measure learning effectiveness through metrics, Monitor progress with Japan HR team, Coordinate with global Talent Development and Inclusion team, Localize enterprise learning frameworks, Contribute Japan market insight to global program design, Identify external learning vendors, Manage external learning vendors, Own quality of third-party learning content", "teamCollaboration" : "Japan business unit leaders; HR business partner; HR experience partner; Operation partner; Senior Japan stakeholders; Global Talent Development and Inclusion team; Japan HR team", "projectManagementSkills" : [ "Roadmap development" ], "domainKnowledge" : "Data storage industry", "domainList" : [ "data-storage-industry" ], "domainSpecificKnowledge" : [ "Data storage industry" ], "communicationSkills" : "Cross-functional communication", "continuousLearning" : "Global program participation", "problemSolvingSkills" : "Capability gap analysis", "outcomesObjectives" : "Build organizational capabilities; Ensure employees have skills to grow careers; Build real capability at every level; Close capability gaps; Support immediate needs and long-term business objectives", "qualificationsBasic" : "Bachelor's degree in HR, OD, Education, or related field, or equivalent experience, 5–10 years L&D or Talent Development experience, 3+ years program design and stakeholder advisory experience, Demonstrated experience designing and delivering learning programs, Native or near-native Japanese language proficiency, Business-level English proficiency, Ability to build trusted relationships with senior business leaders, Translate business priorities into learning solutions", "qualificationsPreferred" : "Experience", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "At WD, our vision is to power global innovation and push the boundaries of technology to make what you thought was once impossible, possible. At our core, WD is a company of problem solvers. People achieve extraordinary things given the right technology. For decades, we’ve been doing just that—our technology helped people put a man on the moon and capture the first-ever picture of a black hole. We offer an expansive portfolio of technologies, HDDs, and platforms for business, creative professionals, and consumers alike under our Western Digital®, WD®, and WD_BLACK™. We are a key partner to some of the largest and highest-growth organizations in the world. From enabling systems to make cities safer and more connected, to powering the data centers behind many of the world’s biggest companies and hyperscale cloud providers, to meeting the massive and ever-growing data storage needs of the AI era, WD is fueling a brighter, smarter future. Today’s exceptional challenges require your unique skills. Together, we can build the future of data storage. Role Overview The Talent, Development and Inclusion team at Western Digital is responsible for building the organizational capabilities that keep the company competitive — and right now, that means ensuring every employee has the skills needed to grow their career. The Learning and Development Manager – Japan will own the end-to-end learning assessment and delivery for WD's Japan workforce, translating global priorities into practical, locally resonant programs that build real capability at every level of the organization. This role works closely with Japan business leaders and the global Talent, Development and Inclusion team to identify where the gaps are, design solutions that close them, and measure whether the learning is effective in building and using both professional and technical skills. This role will report to the Director, Talent Development and Inclusion, Asia-Pacific Region and is an incredible opportunity to be part of a global team and partnering on global programs while also having accountability for learning and development for all teams in Japan. Essential Duties and Responsibilities * Partner with Japan business unit leaders to align the local learning needs with WD's global priorities and organizational transformation objectives * Work closely with HR business partner, HR experience partner and Operation partner to address challenges in Japan, ensuring programs are relevant to the Japan business context. * Advise senior Japan stakeholders on training needed for workforce readiness, translating capability into practical learning recommendations that connect directly to business performance and competitive positioning. * Analyze Japan-specific capability gaps knowledge, skills and behaviors; develop a multi-year learning roadmap that supports both immediate needs and long-term business objectives. * Design and deliver blended learning solutions — including in-person workshops, virtual instructor-led sessions, and self-directed digital content across Japan employee populations at all levels. * Facilitate learning experiences in both Japanese and English, adapting global curriculum to reflect Japan workplace norms, communication styles, and learner expectations. * Measure learning effectiveness through defined metrics — completion rates, behavioral indicators and manager-reported capability change — and monitor progress in partnership with Japan HR team. * Coordinate with the global Talent Development and Inclusion team to localize enterprise learning frameworks, contributing Japan market insight to global program design while maintaining consistency with WD's global learning standards. * Identify and manage external learning vendors or content partners where in-house capacity requires supplementation, owning the quality and relevance of any third-party learning content deployed in Japan. ## Qualifications Required Qualifications * Bachelor's degree in Human Resources, Organizational Development, Education, or a related field, or equivalent professional experience * 5–10 years of experience in Learning and Development, Talent Development, or a closely related HR function, with at least 3 years focused on program design and stakeholder advisory work * Demonstrated experience designing and delivering learning programs that address capability gaps at scale * Native or near-native Japanese language proficiency; business-level English proficiency sufficient for global collaboration and cross-functional communication with WD's global teams * Proven ability to build trusted working relationships with senior business leaders and translate business priorities into learning solutions * Preferred Qualifications * Experience designing learning programs for technology adoption or digital transformation initiatives * Exposure to instructional design methodologies (e.g., ADDIE, design thinking for learning) and adult learning principles applied to technical subject matter * Experience working in a global matrixed organization and coordinating with geographically distributed HR or L&D teams * Coaching or facilitation certification relevant to adult learning * Experience in a mid-to-large multinational technology or manufacturing company Skills * Ability to assess organizational capability gaps and translate findings into structured, prioritized learning roadmaps — not generic training calendars * Skill in adapting global learning content to Japan cultural and workplace norms without losing the intent or quality of the original design * Ability to communicate learning to technical and non-technical learners across seniority levels, in both Japanese and English * Comfort operating with ambiguity in an evolving program space — learning and development in Japan is a new role and this will require building infrastructure, not inheriting it ## Additional Information WD is committed to providing equal opportunities to all applicants and employees and will not discriminate against any applicant or employee based on their race, color, ancestry, religion (including religious dress and grooming standards), sex (including pregnancy, childbirth or related medical conditions, breastfeeding or related medical conditions), gender (including a person’s gender identity, gender expression, and gender-related appearance and behavior, whether or not stereotypically associated with the person’s assigned sex at birth), age, national origin, sexual orientation, medical condition, marital status (including domestic partnership status), physical disability, mental disability, medical condition, genetic information, protected medical and family care leave, Civil Air Patrol status, military and veteran status, or other legally protected characteristics. We also prohibit harassment of any individual on any of the characteristics listed above. Our non-discrimination policy applies to all aspects of employment. We comply with the laws and regulations set forth in the \"[Know Your Rights: Workplace Discrimination is Illegal](https://www.eeoc.gov/sites/default/files/2023-06/22-088EEOCKnowYourRights6.12.pdf)” poster. Our pay transparency policy is available [here](https://www.dol.gov/agencies/wb/equal-pay-protections). WD thrives on the power and potential of diversity. As a global company, we believe the most effective way to embrace the diversity of our customers and communities is to mirror it from within. We believe the fusion of various perspectives results in the best outcomes for our employees, our company, our customers, and the world around us. We are committed to an inclusive environment where every individual can thrive through a sense of belonging, respect and contribution. WD is committed to offering opportunities to applicants with disabilities and ensuring all candidates can successfully navigate our careers website and our hiring process. Please contact us at [jobs.accommodations@wdc.com](mailto:jobs.accommodations@wdc.com) to advise us of your accommodation request. In your email, please include a description of the specific accommodation you are requesting as well as the job title and requisition number of the position for which you are applying. Based on our experience, we anticipate that the application deadline will be 7/6/26 , although we reserve the right to close the application process sooner if we hire an applicant for this position before the application deadline. If we are not able to hire someone from this role before the application deadline, we will update this posting with a new anticipated application deadline. #LI-BR1 WD thrives on the power and potential of diversity. As a global company, we believe the most effective way to embrace the diversity of our customers and communities is to mirror it from within. We believe the fusion of various perspectives results in the best outcomes for our employees, our company, our customers, and the world around us. We are committed to an inclusive environment where every individual can thrive through a sense of belonging, respect and contribution. WD is committed to offering opportunities to applicants with disabilities and ensuring all candidates can successfully navigate our careers website and our hiring process. Please contact us at [jobs.accommodations@wdc.com](mailto:staffingsupport@wdc.com) to advise us of your accommodation request. In your email, please include a description of the specific accommodation you are requesting as well as the job title and requisition number of the position for which you are applying. Notice To Candidates: Please be aware that WD and its subsidiaries will never request payment as a condition for applying for a position or receiving an offer of employment. Should you encounter any such requests, please report it immediately to [WD Ethics Helpline](https://secure.ethicspoint.com/domain/media/en/gui/48999/index.html) or email [compliance@wdc.com](mailto:compliance@wdc.com).", "summaryDescription" : "Learning and Development Manager at Western Digital. Skills: Learning and Development, Talent Development, Inclusion. Partner with Japan business leaders to align local. Work with HR business partner, experience partner, and", "postedDate" : "2026-06-15T06:59:26.000", "createdAt" : "2026-06-16T03:38:08.193", "lastUpdated" : "2026-06-16T12:29:23.880", "ingestTimestamp" : "2026-06-16T03:38:08.193", "mongoId" : "6a308ec6f292fd229c0a5231", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "200k+", "hasSalary" : false, "allSkills" : [ "Learning effectiveness measurement", "Curriculum localization", "Learning and Development", "Talent Development", "Inclusion", "Talent management", "Organizational development", "Stakeholder advisory", "Program design", "Learning assessment", "Learning delivery", "Capability building", "Roadmap development", "Data storage industry" ], "skillCount" : 14, "jobCategory" : "operations", "jobSubcategory" : "hr", "seniorityLevel" : "Manager", "dataQualityScore" : 1.0, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.95 }, { "id" : "6a304f24f292fd229cee57d8", "title" : "Learning and Development Manager", "company" : "Western Digital", "industry" : "Computer Hardware", "salary" : { "min" : 9500000.0, "max" : 1.45E7, "currency" : "JPY", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Manager in the Technology industry in Fujisawa, Japan, adjusted for seniority and company size." }, "location" : "Fujisawa, Kanagawa, JP", "locations" : [ "Fujisawa", "Kanagawa", "JP" ], "timestamp" : "2026-06-16T05:59:47.704", "fingerprint" : "af3f90a7bfed3daed7e960f479933d2867b4c59e633f5ef22a9f10e16e901d6e", "source" : "smartrecruiters", "language" : "en", "applyUrl" : "https://jobs.smartrecruiters.com/WesternDigital/744000132123187-learning-and-development-manager-", "externalId" : "744000132123187", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Fujisawa", "state" : "Kanagawa", "country" : "Japan", "continent" : "as", "source" : "llm", "workMode" : "onsite", "geo" : "35.3388615,139.4909335" } ], "locationText" : "Fujisawa, Kanagawa, Japan", "employmentType" : "FULL_TIME", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "mid", "professionalSkills" : [ "Talent management", "Organizational development", "Stakeholder advisory", "Program design", "Learning delivery", "Capability building" ], "hardSkillsList" : [ "Learning assessment", "Learning delivery", "Blended learning solutions", "Curriculum localization", "Vendor management" ], "hardSkills" : [ { "name" : "Learning assessment", "level" : "intermediate" }, { "name" : "Learning delivery", "level" : "intermediate" }, { "name" : "Blended learning solutions", "level" : "intermediate" }, { "name" : "Curriculum localization", "level" : "intermediate" }, { "name" : "Vendor management", "level" : "intermediate" } ], "majorSkills" : "Learning and Development, Talent Development, Organizational Capability", "majorSkillsList" : [ "Learning and Development", "Talent Development", "Organizational Capability" ], "coreResponsibilities" : "Partner with Japan business leaders, Align local learning needs with global priorities, Work with HR business partners, Address challenges in Japan, Advise senior Japan stakeholders on training, Translate capability into learning recommendations, Analyze Japan-specific capability gaps, Develop multi-year learning roadmap, Design blended learning solutions, Deliver in-person workshops, Deliver virtual instructor-led sessions, Deliver self-directed digital content, Facilitate learning experiences in Japanese, Facilitate learning experiences in English, Adapt global curriculum to Japan norms, Measure learning effectiveness, Monitor progress with Japan HR team, Coordinate with global TD&I team, Localize enterprise learning frameworks, Contribute Japan market insight, Identify external learning vendors, Manage external learning vendors, Own quality of third-party learning content", "teamCollaboration" : "Japan business unit leaders; HR business partner; HR experience partner; Operation partner; Senior Japan stakeholders; Global Talent Development and Inclusion team; Japan HR team", "projectManagementSkills" : [ "Roadmap development" ], "domainKnowledge" : "Data storage industry", "domainList" : [ "data-storage-industry" ], "domainSpecificKnowledge" : [ "Data storage industry" ], "communicationSkills" : "Cross-functional communication", "continuousLearning" : "Global program participation", "problemSolvingSkills" : "Capability gap analysis", "outcomesObjectives" : "Build organizational capabilities; Ensure employees have skills to grow careers; Build real capability at every level; Close capability gaps; Support immediate needs; Support long-term business objectives; Maintain consistency with global standards", "qualificationsBasic" : "Bachelor's degree in HR, OD, Education, or related field, or equivalent experience, 5–10 years L&D or Talent Development experience, 3+ years program design and stakeholder advisory experience, Demonstrated experience designing and delivering learning programs, Native or near-native Japanese language proficiency, Business-level English proficiency, Ability to build trusted relationships with senior leaders, Translate business priorities into learning solutions", "qualificationsPreferred" : "Experience with HR systems", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "At WD, our vision is to power global innovation and push the boundaries of technology to make what you thought was once impossible, possible. At our core, WD is a company of problem solvers. People achieve extraordinary things given the right technology. For decades, we’ve been doing just that—our technology helped people put a man on the moon and capture the first-ever picture of a black hole. We offer an expansive portfolio of technologies, HDDs, and platforms for business, creative professionals, and consumers alike under our Western Digital®, WD®, and WD_BLACK™. We are a key partner to some of the largest and highest-growth organizations in the world. From enabling systems to make cities safer and more connected, to powering the data centers behind many of the world’s biggest companies and hyperscale cloud providers, to meeting the massive and ever-growing data storage needs of the AI era, WD is fueling a brighter, smarter future. Today’s exceptional challenges require your unique skills. Together, we can build the future of data storage. Role Overview The Talent, Development and Inclusion team at Western Digital is responsible for building the organizational capabilities that keep the company competitive — and right now, that means ensuring every employee has the skills needed to grow their career. The Learning and Development Manager – Japan will own the end-to-end learning assessment and delivery for WD's Japan workforce, translating global priorities into practical, locally resonant programs that build real capability at every level of the organization. This role works closely with Japan business leaders and the global Talent, Development and Inclusion team to identify where the gaps are, design solutions that close them, and measure whether the learning is effective in building and using both professional and technical skills. This role will report to the Director, Talent Development and Inclusion, Asia-Pacific Region and is an incredible opportunity to be part of a global team and partnering on global programs while also having accountability for learning and development for all teams in Japan. Essential Duties and Responsibilities * Partner with Japan business unit leaders to align the local learning needs with WD's global priorities and organizational transformation objectives * Work closely with HR business partner, HR experience partner and Operation partner to address challenges in Japan, ensuring programs are relevant to the Japan business context. * Advise senior Japan stakeholders on training needed for workforce readiness, translating capability into practical learning recommendations that connect directly to business performance and competitive positioning. * Analyze Japan-specific capability gaps knowledge, skills and behaviors; develop a multi-year learning roadmap that supports both immediate needs and long-term business objectives. * Design and deliver blended learning solutions — including in-person workshops, virtual instructor-led sessions, and self-directed digital content across Japan employee populations at all levels. * Facilitate learning experiences in both Japanese and English, adapting global curriculum to reflect Japan workplace norms, communication styles, and learner expectations. * Measure learning effectiveness through defined metrics — completion rates, behavioral indicators and manager-reported capability change — and monitor progress in partnership with Japan HR team. * Coordinate with the global Talent Development and Inclusion team to localize enterprise learning frameworks, contributing Japan market insight to global program design while maintaining consistency with WD's global learning standards. * Identify and manage external learning vendors or content partners where in-house capacity requires supplementation, owning the quality and relevance of any third-party learning content deployed in Japan. ## Qualifications Required Qualifications * Bachelor's degree in Human Resources, Organizational Development, Education, or a related field, or equivalent professional experience * 5–10 years of experience in Learning and Development, Talent Development, or a closely related HR function, with at least 3 years focused on program design and stakeholder advisory work * Demonstrated experience designing and delivering learning programs that address capability gaps at scale * Native or near-native Japanese language proficiency; business-level English proficiency sufficient for global collaboration and cross-functional communication with WD's global teams * Proven ability to build trusted working relationships with senior business leaders and translate business priorities into learning solutions * Preferred Qualifications * Experience designing learning programs for technology adoption or digital transformation initiatives * Exposure to instructional design methodologies (e.g., ADDIE, design thinking for learning) and adult learning principles applied to technical subject matter * Experience working in a global matrixed organization and coordinating with geographically distributed HR or L&D teams * Coaching or facilitation certification relevant to adult learning * Experience in a mid-to-large multinational technology or manufacturing company Skills * Ability to assess organizational capability gaps and translate findings into structured, prioritized learning roadmaps — not generic training calendars * Skill in adapting global learning content to Japan cultural and workplace norms without losing the intent or quality of the original design * Ability to communicate learning to technical and non-technical learners across seniority levels, in both Japanese and English * Comfort operating with ambiguity in an evolving program space — learning and development in Japan is a new role and this will require building infrastructure, not inheriting it ## Additional Information WD is committed to providing equal opportunities to all applicants and employees and will not discriminate against any applicant or employee based on their race, color, ancestry, religion (including religious dress and grooming standards), sex (including pregnancy, childbirth or related medical conditions, breastfeeding or related medical conditions), gender (including a person’s gender identity, gender expression, and gender-related appearance and behavior, whether or not stereotypically associated with the person’s assigned sex at birth), age, national origin, sexual orientation, medical condition, marital status (including domestic partnership status), physical disability, mental disability, medical condition, genetic information, protected medical and family care leave, Civil Air Patrol status, military and veteran status, or other legally protected characteristics. We also prohibit harassment of any individual on any of the characteristics listed above. Our non-discrimination policy applies to all aspects of employment. We comply with the laws and regulations set forth in the \"[Know Your Rights: Workplace Discrimination is Illegal](https://www.eeoc.gov/sites/default/files/2023-06/22-088EEOCKnowYourRights6.12.pdf)” poster. Our pay transparency policy is available [here](https://www.dol.gov/agencies/wb/equal-pay-protections). WD thrives on the power and potential of diversity. As a global company, we believe the most effective way to embrace the diversity of our customers and communities is to mirror it from within. We believe the fusion of various perspectives results in the best outcomes for our employees, our company, our customers, and the world around us. We are committed to an inclusive environment where every individual can thrive through a sense of belonging, respect and contribution. WD is committed to offering opportunities to applicants with disabilities and ensuring all candidates can successfully navigate our careers website and our hiring process. Please contact us at [jobs.accommodations@wdc.com](mailto:jobs.accommodations@wdc.com) to advise us of your accommodation request. In your email, please include a description of the specific accommodation you are requesting as well as the job title and requisition number of the position for which you are applying. Based on our experience, we anticipate that the application deadline will be 7/6/26 , although we reserve the right to close the application process sooner if we hire an applicant for this position before the application deadline. If we are not able to hire someone from this role before the application deadline, we will update this posting with a new anticipated application deadline. #LI-BR1 WD thrives on the power and potential of diversity. As a global company, we believe the most effective way to embrace the diversity of our customers and communities is to mirror it from within. We believe the fusion of various perspectives results in the best outcomes for our employees, our company, our customers, and the world around us. We are committed to an inclusive environment where every individual can thrive through a sense of belonging, respect and contribution. WD is committed to offering opportunities to applicants with disabilities and ensuring all candidates can successfully navigate our careers website and our hiring process. Please contact us at [jobs.accommodations@wdc.com](mailto:staffingsupport@wdc.com) to advise us of your accommodation request. In your email, please include a description of the specific accommodation you are requesting as well as the job title and requisition number of the position for which you are applying. Notice To Candidates: Please be aware that WD and its subsidiaries will never request payment as a condition for applying for a position or receiving an offer of employment. Should you encounter any such requests, please report it immediately to [WD Ethics Helpline](https://secure.ethicspoint.com/domain/media/en/gui/48999/index.html) or email [compliance@wdc.com](mailto:compliance@wdc.com).", "summaryDescription" : "Learning and Development Manager at Western Digital. Skills: Learning and Development, Talent Development, Organizational Capability. Partner with Japan business leaders. Align local learning needs with global priorities", "postedDate" : "2026-06-15T06:59:26.000", "createdAt" : "2026-06-15T21:32:35.540", "lastUpdated" : "2026-06-16T05:59:47.704", "ingestTimestamp" : "2026-06-15T21:32:35.540", "mongoId" : "6a304f24f292fd229cee57d8", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "200k+", "hasSalary" : false, "allSkills" : [ "Learning assessment", "Learning delivery", "Blended learning solutions", "Curriculum localization", "Vendor management", "Learning and Development", "Talent Development", "Organizational Capability", "Talent management", "Organizational development", "Stakeholder advisory", "Program design", "Capability building", "Roadmap development", "Data storage industry" ], "skillCount" : 15, "jobCategory" : "operations", "jobSubcategory" : "hr", "seniorityLevel" : "Manager", "dataQualityScore" : 1.0, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.97 }, { "id" : "69c94a679bc74574cbbb31b8", "title" : "Learning Associate, Learning and Development", "company" : "Q-Express Documents Transport", "industry" : "Fulfillment Associate, Training, fulfillment ops", "salary" : { "min" : 185000.0, "max" : 265000.0, "currency" : "AED", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Lead Learning Associate in Dubai, UAE, adjusted for the logistics industry." }, "location" : "Dubai, ARE", "locations" : [ "Dubai, ARE" ], "timestamp" : "2026-06-15T01:34:40.976", "fingerprint" : "79710dfd04ed508b78093a28eac87b56e082226ea588de790b975cf74cd3ab59", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.com/jobs/3195464/apply", "externalId" : "e91f43c9-de8a-4f6e-b8b0-89ead0097ae9", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Dubai", "country" : "United Arab Emirates", "continent" : "as", "source" : "llm", "workMode" : "onsite", "geo" : "25.0742823,55.1885387" } ], "locationText" : "Dubai, United Arab Emirates", "employmentType" : "FULL_TIME", "coreResponsibilities" : "Coordinate training execution, Evaluate processes, Refine techniques, Improve learning effectiveness, Improve production, Assist in driving training plans, Support workforce needs, Act as supervisor, Deliver instructor training, Observe instructors, Coach instructors, Keep training records up to date, Deliver AMET training materials, Provide positive learning experience, Use data daily, Analyze data daily, Improve new hire learning experience, Provide feedback to instructors, Provide feedback to peer trainers, Track test completion, Track audit completion, Organize instructor assignments, Monitor cross training, Highlight gaps for critical role training, Support critical role training delivery, Improve processes from feedback, Improve processes from data analysis, Support instructor recruitment, Support peer trainer recruitment, Attend meetings, Provide information at meetings, Improve new hire performance, Provide feedback for projects, Provide improvements for projects", "teamCollaboration" : "Work with operations; Work with agency managers; Partner with agency managers", "domainKnowledge" : "AMET standard", "domainList" : [ "amet-standard" ], "domainSpecificKnowledge" : [ "AMET standard" ], "toolProficiency" : [ "Microsoft Excel", "Microsoft Word", "Microsoft PowerPoint", "Microsoft Outlook" ], "communicationSkills" : "Presentation skills", "problemSolvingSkills" : "Analyze data", "specialRequirements" : "Flexible schedules, Flexible shifts", "qualificationsBasic" : "Written and verbal communication, Presentation skills, Microsoft Office Suite", "qualificationsPreferred" : "Fluent English speaking, Fluent English writing, Fluent English reading", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "The Trainer is responsible for the coordination and execution of training for all process paths in the Fulfillment Center. Trainers evaluate and refine processes and techniques to improve learning effectiveness and production across all departments in the building. The Trainer assists in driving the success training plans and supporting the needs of the Fulfillment Center workforce. Prerequisite: · Willing to work flexible schedules / shifts · Act as a supervisor for Instructors and Peer Trainers with new hires · Deliver Instructor training, observation and coaching to the AMET standard · Ensure training records are kept up to date through the console · Ensure AMET training materials are kept and delivered against AMET standard and provide a positive learning experience · Use and analyze data on a daily basis to improve NH learning experience · Feedback to Instructors and Peer Trainers on their delivery and new hire (NH) groups performance · All tests/ audits are completed and responses are tracked · Organize (Instructors assignment) and monitor cross training for the operations to support peak skill requirements · Work with operations on a skill matrix to highlight gaps for critical role training · Support operations with the delivery of critical role training · Improve processes from gathering feedback and analyzing data · Support the recruitment of Instructors and Peer Trainers · Attend meetings when required and provide information required · Work in partnership with the agency managers to improve new hire performance · Support AMET level projects with feedback and improvements Basic Qualifications: - Experience with written and verbal communication and presentation - Experience using Microsoft Office (Excel, Word, PowerPoint, Outlook) Preferred Qualifications: - Speak, write, and read fluently in English Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.", "summaryDescription" : "Learning Associate, Learning and Development at Q-Express Documents Transport. Coordinate training execution. Evaluate processes", "postedDate" : "2026-06-13T01:35:15.131", "createdAt" : "2026-06-13T01:35:15.131", "lastUpdated" : "2026-06-15T01:34:40.976", "ingestTimestamp" : "2026-06-13T01:35:15.131", "mongoId" : "69c94a679bc74574cbbb31b8", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://account.amazon.com/jobs/3195464/apply", "salaryBand" : "150k-200k", "hasSalary" : false, "allSkills" : [ "AMET standard", "Microsoft Excel", "Microsoft Word", "Microsoft PowerPoint", "Microsoft Outlook" ], "skillCount" : 5, "jobCategory" : "other", "dataQualityScore" : 0.8888889, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true }, { "id" : "6a307673f292fd229c019f12", "title" : "Principal Software Engineer, Physics", "company" : "Roblox", "industry" : "Technology", "salary" : { "min" : 295250.0, "max" : 345040.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "San Mateo, CA, United States", "locations" : [ "San Mateo", "CA", "United States" ], "timestamp" : "2026-06-16T11:04:46.696", "fingerprint" : "2f8caa513fea4852a06c6262bebc5ce0ca67180b690fc2aee614b1ddb42d4e6d", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://careers.roblox.com/jobs/7998366?gh_jid=7998366", "externalId" : "7998366", "industryFunction" : { }, "structuredLocations" : [ { "city" : "San Mateo", "state" : "California", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "hybrid", "geo" : "37.4969040,-122.3330573" } ], "locationText" : "San Mateo, California, United States", "employmentType" : "FULL_TIME", "experienceMinYears" : 8, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "remoteFriendly" : false, "rawDescription" : "Every day, tens of millions of people come to Roblox to explore, create, play, learn, and connect with friends in 3D immersive digital experiences– all created by our global community of developers and creators. At Roblox, we’re building the tools and platform that empower our community to bring any experience that they can imagine to life. Our vision is to reimagine the way people come together, from anywhere in the world, and on any device. We’re on a mission to connect a billion people with optimism and civility, and looking for amazing talent to help us get there. A career at Roblox means you’ll be working to shape the future of human interaction, solving unique technical challenges at scale, and helping to create safer, more civil shared experiences for everyone. From the early days, simulated physics has been the foundation of the way users build in Roblox. Our physics engine enables dynamic environments with emergent behavior making games more immersive and exciting. The Physics team develops Roblox's proprietary distributed physics engine. Our team implements the mathematical models behind our dynamic simulation engine, and ships engine APIs and tools that developers use every day. These models incorporate rigid body dynamics arising from external forces, collisions, and constraints while optimizing for real-time performance. We work on integrating the low level physics solver into the rest of the engine for online gameplay across multiple platforms. You will report to the Physics Environment Engineering Manager. You Will: Innovate and implement powerful physics features that empower Roblox developers to create immersive and dynamic experiences. Drive innovation through research and rapid prototyping, translating new ideas into practical solutions that stand the test of time. Optimize and enhance the robustness and performance of the physics engine and its integrations, ensuring a seamless user experience. Collaborate with internal teams and external developers, providing expert support and guidance to improve feature utilization and resolve technical challenges. You Have: Extensive C++ Development: 8+ years of professional experience writing high-performance, optimized C++ code (2+ years if with an advanced degree). Performance Engineering: Demonstrated ability to use multithreading and SIMD optimization techniques to enhance application efficiency with knowledge of modern computer architecture and its impact on software performance. Physics and Numerical Methods Experience: Practical experience applying numerical methods to solve problems in real-time physics simulation. Real-Time Physics Expertise: Proven experience developing and deploying real-time and online multiplayer physics simulations. Physics SDK Familiarity: Hands-on experience integrating and applying physics SDKs such as PhysX, Havok, and Bullet. Educational Background: Bachelor's or advanced degree in Computer Science, Mathematics, Physics, Engineering, or equivalent demonstrated experience. For roles that are based at our headquarters in San Mateo, CA: The starting base pay for this position is as shown below. The actual base pay is dependent upon a variety of job-related factors such as professional background, training, work experience, location, business needs and market demand. Therefore, in some circumstances, the actual salary could fall outside of this expected range. This pay range is subject to change and may be modified in the future. All full-time employees are also eligible for equity compensation and for benefits as described on this page. Annual Salary Range $295,250—$345,040 USD Roles that are based in an office are onsite Tuesday, Wednesday, and Thursday, with optional presence on Monday and Friday (unless otherwise noted). Roblox provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. Roblox also provides reasonable accommodations to candidates with qualifying disabilities or religious beliefs during the recruiting process. For US based roles only, please note the Company may not be able to employ candidates for this role who have United States work authorization related to certain U. S. visa categories, or support future H-1B sponsorship at this time.", "summaryDescription" : "Principal Software Engineer, Physics at Roblox", "postedDate" : "2026-06-16T01:19:09.118", "createdAt" : "2026-06-16T01:19:09.118", "lastUpdated" : "2026-06-16T11:04:46.696", "ingestTimestamp" : "2026-06-16T01:19:09.118", "mongoId" : "6a307673f292fd229c019f12", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 295250, "salaryAnnualMax" : 345040, "salaryBand" : "200k+", "hasSalary" : true, "allSkills" : [ ], "skillCount" : 0, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Lead", "dataQualityScore" : 0.8888889, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.98 }, { "id" : "6a25146374d8ee00a00bb744", "title" : "Postdoctoral Scientist, Amazon Robotics Research and AI Development", "company" : "Amazon.com Services LLC", "industry" : "Applied Science, studentprograms", "salary" : { "min" : 80000.0, "max" : 193200.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "North Reading, Massachusetts, USA", "locations" : [ "North Reading, Massachusetts, USA" ], "timestamp" : "2026-06-15T05:31:22.089", "fingerprint" : "e71e2f47d247c2dcc32cbe9dd6f9c9f7e711a516df156d695ae92fda4c04ae9c", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.jobs/jobs/10434356/apply", "externalId" : "02939a91-4543-4360-aa97-65969ba6c953", "industryFunction" : { }, "structuredLocations" : [ { "city" : "North Reading", "state" : "Massachusetts", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "42.5750939,-71.0786653" } ], "locationText" : "North Reading, Massachusetts, United States", "employmentType" : "FULL_TIME", "technicalSkills" : "Machine Learning, Optimization, Probabilistic modeling, AI", "professionalSkills" : [ "Operations research", "Planning", "Scheduling" ], "hardSkillsList" : [ "Data science", "Quantitative research" ], "hardSkills" : [ { "name" : "Data science", "level" : "intermediate" }, { "name" : "Quantitative research", "level" : "intermediate" } ], "majorSkills" : "AI-driven optimization, Robotic fulfillment, Fleet-level AI", "majorSkillsList" : [ "AI-driven optimization", "Robotic fulfillment", "Fleet-level AI" ], "coreResponsibilities" : "Advance AI-driven optimization, Formulate automated optimization, Solve optimization problems, Interpret optimization problems, Configure intelligent solvers, Adapt solvers to structure, Allocate tasks dynamically, Coordinate robot fleet decisions, Develop scalable solutions, Democratize optimization workflows, Accelerate optimization workflows, Work with senior science advisor, Collaborate with scientists, Collaborate with engineers, Publish innovation, Progress research projects, Meet with stakeholders, Brainstorm with scientists, Participate in team processes, Lead AI research, Design AI research, Implement AI research, Evaluate AI research, Analyze AI research", "teamCollaboration" : "Senior science advisor; Other scientists; Engineers; Global science community; Engineering stakeholders; Systems stakeholders; Solutions stakeholders; Team processes", "domainKnowledge" : "Robotic warehouses; Robotic logistics processes", "domainList" : [ "robotic-warehouses", "robotic-logistics-processes" ], "domainSpecificKnowledge" : [ "Robotic warehouses", "Robotic logistics processes" ], "communicationSkills" : "Presentation skills", "innovationCreativity" : "Invent cutting-edge techniques", "problemSolvingSkills" : "Data-driven decision making", "qualificationsBasic" : "PhD in a relevant field, Received PhD within 2 years, Proven publication record, Experience in data science, Experience in quantitative research", "qualificationsPreferred" : "Ability to independently deliver results, Publications at top-tier conferences, Publications at top-tier journals, Exceptional verbal communication skills, Exceptional written communication skills, Expert knowledge in modeling, Expert knowledge in performance, Expert knowledge in operationalization, Expert knowledge in scalability, Expert knowledge in decision strategies", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Amazon is looking for a talented Postdoctoral Scientist to join the Fleet Science team at Amazon Robotics for a one-year, full-time research position with an optional extension for a second year. This Postdoctoral Scientist will advance AI-driven optimization of operations workflows for robotic fulfillment at scale. Research areas include automated optimization formulation that enables non-expert users to formulate, solve, and interpret complex optimization problems through natural language, intelligent solver configuration that adapts to problem structure for significant performance gains, and fleet-level AI for dynamic task allocation methods that coordinate decisions across large robot fleets in real time. The postdoc will have the opportunity to develop scalable solutions that democratize and accelerate optimization workflows for the world's largest robotic fulfillment network. At Amazon, we experiment and innovate relentlessly. Science is core in our offering to shoppers, advertisers and customers. Our scientists apply machine learning, optimization, and probabilistic modeling at scale to enhance customer experience, help advertisers reach relevant audiences, and support brand building. We are seeking talented scientists to invent cutting-edge techniques in a variety of areas and innovate on behalf of shoppers, advertisers, and customers. Key job responsibilities In this role you will: - Work closely with a senior science advisor, collaborate with other scientists and engineers, and be part of Amazon's vibrant and diverse global science community. - Publish your innovation in top-tier academic venues and hone your presentation skills. - Be inspired by challenges and opportunities to invent cutting-edge techniques in your area(s) of expertise. A day in the life On a typical day in this role, you will work to progress your research projects, meet with engineering, systems, and solutions stakeholders, brainstorm with other scientists on the team, and participate in team processes. You will lead your AI-based optimization research through the full life cycle, from design and implementation to evaluation and analysis. Publication of findings in top-tier academic venues is expected. About the team The Fleet Science team at Amazon Robotics is a multi-disciplinary science team that includes scientists with backgrounds in planning and scheduling, optimization, machine learning, and operations research. We develop novel planning algorithms and machine learning methods and apply them to real-world robotic warehouses, including: (1) Planning and coordinating the paths of thousands of robots (2) Dynamic allocation and scheduling of tasks to thousands of robots (3) Learning how to adapt system behavior to varying operating conditions and (4) Co-design of robotic logistics processes and the algorithms to optimize them. Basic Qualifications: * PhD in a relevant field, received within 2 years of starting the program * Proven publication record in Machine Learning, Robotics, Computer Vision, AI, Computer Science, Econ, Operations Research, or other related technical fields * Experience in data science and quantitative research * Proficiency in technologies relevant to the subfield Preferred Qualifications: * Ability to independently deliver results in a fast-paced environment * Publications at top-tier, peer-reviewed conferences and/or journals * Exceptional verbal and written communication skills * Expert knowledge in modeling and performance, operationalization, and scalability of scientific techniques and establishing decision strategies * Required application materials: CV, which lists all peer-reviewed publications, Research statement that outlines your research achievements and future research interests, and A journal article or conference paper that demonstrates your domain expertise. Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner. The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits . USA, MA, N.Reading - 142,800.00 - 193,200.00 USD annually", "summaryDescription" : "Postdoctoral Scientist, Amazon Robotics Research and AI Development at Amazon.com Services LLC. Skills: AI-driven optimization, Robotic fulfillment, Fleet-level AI. Advance AI-driven optimization. Formulate automated optimization", "postedDate" : "2026-06-13T14:38:50.960", "createdAt" : "2026-06-13T14:38:50.960", "lastUpdated" : "2026-06-15T05:31:22.089", "ingestTimestamp" : "2026-06-13T14:38:50.960", "mongoId" : "6a25146374d8ee00a00bb744", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://account.amazon.jobs/jobs/10434356/apply", "salaryAnnualMin" : 80000, "salaryAnnualMax" : 193200, "salaryBand" : "75k-100k", "hasSalary" : true, "allSkills" : [ "Data science", "Quantitative research", "AI-driven optimization", "Robotic fulfillment", "Fleet-level AI", "Operations research", "Planning", "Scheduling", "Robotic warehouses", "Robotic logistics processes" ], "skillCount" : 10, "jobCategory" : "other", "dataQualityScore" : 0.8888889, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Robotics" }, { "id" : "6a305b45f292fd229cf5bb6f", "title" : "Principal Software Engineer, Physics", "company" : "Roblox", "industry" : "Technology", "salary" : { "min" : 279120.0, "max" : 332440.0, "currency" : "CAD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Vancouver, British Columbia, Canada", "locations" : [ "Vancouver", "British Columbia", "Canada" ], "timestamp" : "2026-06-16T08:32:27.160", "fingerprint" : "6887ba69bf29ec731c1d862cc8354f877d3b8b39eadbadd550332d640ffe5781", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://careers.roblox.com/jobs/7998360?gh_jid=7998360", "externalId" : "7998360", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Vancouver", "state" : "British Columbia", "country" : "Canada", "continent" : "na", "source" : "llm", "workMode" : "hybrid", "geo" : "49.2608724,-123.1139520" } ], "locationText" : "Vancouver, British Columbia, Canada", "employmentType" : "FULL_TIME", "experienceMinYears" : 8, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "remoteFriendly" : true, "rawDescription" : "Every day, tens of millions of people come to Roblox to explore, create, play, learn, and connect with friends in 3D immersive digital experiences– all created by our global community of developers and creators. At Roblox, we’re building the tools and platform that empower our community to bring any experience that they can imagine to life. Our vision is to reimagine the way people come together, from anywhere in the world, and on any device. We’re on a mission to connect a billion people with optimism and civility, and looking for amazing talent to help us get there. A career at Roblox means you’ll be working to shape the future of human interaction, solving unique technical challenges at scale, and helping to create safer, more civil shared experiences for everyone. From the early days, simulated physics has been the foundation of the way users build in Roblox. Our physics engine enables dynamic environments with emergent behavior making games more immersive and exciting. The Physics team develops Roblox's proprietary distributed physics engine. Our team implements the mathematical models behind our dynamic simulation engine, and ships engine APIs and tools that developers use every day. These models incorporate rigid body dynamics arising from external forces, collisions, and constraints while optimizing for real-time performance. We work on integrating the low level physics solver into the rest of the engine for online gameplay across multiple platforms. You will report to the Physics Environment Engineering Manager. You Will: Innovate and implement powerful physics features that empower Roblox developers to create immersive and dynamic experiences. Drive innovation through research and rapid prototyping, translating new ideas into practical solutions that stand the test of time. Optimize and enhance the robustness and performance of the physics engine and its integrations, ensuring a seamless user experience. Collaborate with internal teams and external developers, providing expert support and guidance to improve feature utilization and resolve technical challenges. You Have: Extensive C++ Development: 8+ years of professional experience writing high-performance, optimized C++ code (2+ years if with an advanced degree). Performance Engineering: Demonstrated ability to use multithreading and SIMD optimization techniques to enhance application efficiency with knowledge of modern computer architecture and its impact on software performance. Physics and Numerical Methods Experience: Practical experience applying numerical methods to solve problems in real-time physics simulation. Real-Time Physics Expertise: Proven experience developing and deploying real-time and online multiplayer physics simulations. Physics SDK Familiarity: Hands-on experience integrating and applying physics SDKs such as PhysX, Havok, and Bullet. Educational Background: Bachelor's or advanced degree in Computer Science, Mathematics, Physics, Engineering, or equivalent demonstrated experience. For roles that are based at our headquarters in Vancouver, BC, Canada: The starting base pay for this position is as shown below. The actual base pay is dependent upon a variety of job-related factors such as professional background, training, work experience, location, business needs and market demand. Therefore, in some circumstances, the actual salary could fall outside of this expected range. This pay range is subject to change and may be modified in the future. All full-time employees are also eligible for equity compensation and for benefits as described on this page. Annual Salary Range $279,120—$332,440 CAD Roles that are based in an office are onsite Tuesday, Wednesday, and Thursday, with optional presence on Monday and Friday (unless otherwise noted). Roblox provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. Roblox also provides reasonable accommodations to candidates with qualifying disabilities or religious beliefs during the recruiting process. For US based roles only, please note the Company may not be able to employ candidates for this role who have United States work authorization related to certain U. S. visa categories, or support future H-1B sponsorship at this time.", "summaryDescription" : "Principal Software Engineer, Physics at Roblox", "postedDate" : "2026-06-15T23:25:56.708", "createdAt" : "2026-06-15T23:25:56.708", "lastUpdated" : "2026-06-16T08:32:27.160", "ingestTimestamp" : "2026-06-15T23:25:56.708", "mongoId" : "6a305b45f292fd229cf5bb6f", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "200k+", "hasSalary" : false, "allSkills" : [ ], "skillCount" : 0, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Lead", "dataQualityScore" : 0.8888889, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.98 }, { "id" : "6a2ca52d74d8ee00a09b50b8", "title" : "Research Associate", "company" : "Third Bridge", "salary" : { "min" : 36500.0, "currency" : "GBP", "frequency" : "yearly", "is_estimated" : false }, "location" : "London", "locations" : [ "London" ], "certifications" : [ "Chartered Financial Analyst (CFA) exams" ], "timestamp" : "2026-06-15T09:46:46.173", "fingerprint" : "aa439062293bfb933da1e09ba9c93871575cc32a2b28589d01cea3d059bb9294", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.eu.greenhouse.io/thirdbridge/jobs/4858933101?gh_jid=4858933101", "externalId" : "4858933101", "industryFunction" : { }, "structuredLocations" : [ { "city" : "London", "country" : "United Kingdom", "continent" : "eu", "source" : "llm", "workMode" : "onsite", "geo" : "51.5074456,-0.1277653" } ], "locationText" : "London, United Kingdom", "employmentType" : "FULL_TIME", "experienceMinYears" : 0, "experienceMaxYears" : 2, "experienceLevel" : "Entry", "professionalSkills" : [ "Sales", "Negotiation", "Research" ], "majorSkills" : "Sales processes, Client relationships, Revenue generation, Deal closure", "majorSkillsList" : [ "Sales processes", "Client relationships", "Revenue generation", "Deal closure" ], "coreResponsibilities" : "Collaborate with Sector Analysts, Develop insightful questions, Recruit Industry Experts, Engage with senior executives, Secure relevant experts, Drive Client Impact, Uncover critical insights, Arrange expert interviews, Inform investment decisions, Tackle Complex Projects, Research sectors, Identify key catalysts, Source right experts, Provide essential information, Grow and Innovate, Develop sales skills, Develop negotiation skills, Develop research skills, Contribute to new strategies", "teamCollaboration" : "Sector Analysts", "communicationSkills" : "Build relationships; Influence industry leaders", "continuousLearning" : "Professional development", "problemSolvingSkills" : "Problem solvers; Thinking on feet", "specialRequirements" : "Work from anywhere one month per year", "qualificationsBasic" : "Ambitious multitaskers, Thrive under pressure, Tight deadlines, Communicators, Build relationships, Influence industry leaders, Problem solvers, Think on feet, Driven self-starters, Embrace feedback, Chase top performance, Curious minds, Develop market skills, Develop commercial skills, Develop leadership skills", "remoteFriendly" : true, "workSiteFlexibility" : "Flexible", "rawDescription" : "Third Bridge is a leading global research firm established in 2007, with a team of over 1,500 employees worldwide dedicated to fueling decisions with expert insights. We accelerate and enhance decision-making for investors and business leaders by unearthing unique expert insights across multiple sectors, geographies, and topics. For nearly 20 years, we’ve helped clients access knowledge on demand from experts, in-person and through our Library covering over 65,000 companies. Kickstart Your Career Looking to kick-start your career in a fast-paced, commercially minded role? Do you thrive in a results-oriented environment and work well under pressure? Are you driven, resilient and ambitious? If so, this could be the opportunity for you. What You’ll Do Collaborate with Sector Analysts – Work closely with our Sector Analysts to help in developing insightful questions for expert interviews. Recruit Industry Experts – Engage with senior executives and industry leaders, securing the most relevant experts for our Sector Analysts to conduct in-depth 1:1 interviews. Drive Client Impact – Help to uncover critical insights by arranging Sector Analyst expert interviews that inform smarter, faster investment decisions. Tackle Complex Projects – Research sectors, identify key catalysts, and source the right experts to provide essential information for our clients. Grow and Innovate – Develop your sales, negotiation, and research skills, while contributing to new strategies that drive success for both you and the company. What We Look For Ambitious multitaskers who thrive under pressure and tight deadlines. Strong communicators who can build relationships and influence industry leaders. Problem solvers who love breaking down industries and thinking on their feet. Driven self-starters who embrace feedback and chase top performance. Curious minds eager to develop market, commercial, and leadership skills. Why Join Us? Develop foundational commercial and sector technical skills: you'll hone a wide range of transferrable skills, including problem-solving, communication, and negotiation. Fast-track your growth: there is clear career advancement for strong performers into analyst, delivery or leadership roles within 2 years. Be exposed to a wide range of industries: connect daily over the phone with top experts in their fields, uncovering impactful and meaningful insights. Earn competitive pay of £40,000+ in your first year, with a £36,500 base salary and uncapped bonus potential after just one month. Enjoy comprehensive benefits including health, wellbeing and travel incentives. Assist with costs of Chartered Financial Analyst (CFA) exams. Appreciate good work-life balance with 30+ holiday entitlement, Summer Fridays, and work from anywhere for one month per year. Be part of our engaging culture with social events, professional development, and a dynamic, supportive team. Ready to Launch Your Career? Join a team that challenges, supports, and rewards your growth. Apply now! Third Bridge values your trust and is committed to the responsible management, use, and protection of personal information. By submitting a Third Bridge job application, I hereby provide Third Bridge (including Third Bridge's affiliates and relevant third-party suppliers) with my consent to collect, store and process my personal information for the purpose of recruitment administration, as well as to share such personal information with third parties for the same purpose, in accordance with the Candidate Privacy Notice. We know that to be truly innovative, we need to have a diverse team around us. That is why Third Bridge is committed to creating an inclusive environment and is proud to be an equal opportunity employer. If you are not 100% sure if you are right for the role, please apply anyway, and we will be happy to consider your application.", "summaryDescription" : "Research Associate at Third Bridge. Skills: Sales processes, Client relationships, Revenue generation, Deal closure. Collaborate with Sector Analysts. Develop insightful questions", "postedDate" : "2026-06-14T09:08:48.070", "createdAt" : "2026-06-14T09:08:48.070", "lastUpdated" : "2026-06-15T09:46:46.173", "ingestTimestamp" : "2026-06-14T09:08:48.070", "mongoId" : "6a2ca52d74d8ee00a09b50b8", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "30k-50k", "hasSalary" : false, "allSkills" : [ "Sales processes", "Client relationships", "Revenue generation", "Deal closure", "Sales", "Negotiation", "Research", "Chartered Financial Analyst (CFA) exams" ], "skillCount" : 8, "jobCategory" : "sales", "jobSubcategory" : "revenue", "seniorityLevel" : "Entry", "dataQualityScore" : 1.0, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustryConfidence" : 0.95 }, { "id" : "6a19719958b93c861e516dad", "title" : "Research Associate II or Postdoctoral Fellow - Cancer Biology", "company" : "City of Hope", "industry" : "Healthcare", "salary" : { "min" : 33.0, "max" : 52.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "United States-California-Duarte", "locations" : [ "United States-California-Duarte", "Research" ], "timestamp" : "2026-06-15T07:01:18.905", "fingerprint" : "7a77db29144b837ff93a66e3cf32f0e66e4b99c092f95b33868890966437f475", "source" : "taleo", "language" : "en", "applyUrl" : "https://aa067.taleo.net/careersection/ex/jobdetail.ftl?job=242307", "externalId" : "242307", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Duarte", "state" : "California", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "34.1394513,-117.9772873" } ], "locationText" : "Duarte, California, United States", "minimumEducation" : "Bachelor's", "majorSkills" : "Cancer biology, Immunology, Molecular biology", "majorSkillsList" : [ "Cancer biology", "Immunology", "Molecular biology" ], "teamCollaboration" : "Collaborative, interdisciplinary setting; Partnerships across clinical; Partnerships computational; Partnerships translational research", "domainKnowledge" : "Prostate cancer progression; In vivo tumor models; In vitro tumor models", "domainList" : [ "prostate-cancer-progression", "in-vivo-tumor-models", "in-vitro-tumor-models" ], "domainSpecificKnowledge" : [ "Prostate cancer progression", "In vivo tumor models", "In vitro tumor models" ], "qualificationsBasic" : "Bachelor's degree, Two years related research/laboratory experience, Master's degree, One year related research/laboratory experience, PhD in cancer biology, PhD in immunology, PhD in molecular biology, PhD in biomedical science, Hands-on experience with in-vivo mouse tumor models, Demonstrated record of scientific productivity", "qualificationsPreferred" : "Master's degree preferred", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Thank you for your interest. Please note, the purpose of this posting is to recruit for on-going and future positions. For consideration, please email your CV and Cover Letter to Dr. Shiuan Chen at SChen@coh.org Pay Rate: Research Associate II: $33.99-52.68 per hour Postdoctoral Fellow: $34.25-37.82 per hour Join the forefront of groundbreaking research at City of Hope where we're changing lives and making a real difference in the fight against cancer, diabetes, and other life-threatening illnesses. Our dedicated and compassionate faculty and staff are driven by a common mission: Contribute to innovative approaches in predicting, preventing, and curing diseases, shaping the future of medicine through cutting-edge research. The Shiuan Chen Laboratory at the Beckman Research Institute of City of Hope, is seeking a highly motivated Research Associate II or Postdoctoral Fellow. Dr. Shiuan Chen and his clinical colleagues recently completed a Phase II clinical trial to evaluate the chemoprotective effect of mushrooms against prostate cancer progression, together with mechanistic studies utilizing both in vivo and in vitro tumor models. The lab operates in a highly collaborative, interdisciplinary setting with close partnerships across clinical, computational, and translational research teams, and access to state-of-the-art institutional core facilities. Learn more about Dr. Shiuan Chen’s lab here . Your qualifications should include: RA II Candidates: Bachelor’s degree. Master’s degree preferred. Two years related research/laboratory experience with a Bachelor’s degree or one year related research/laboratory experience with a Master’s degree. Postdoctoral Fellow Candidates: PhD in cancer biology, immunology, molecular biology, or a related biomedical science. Strong hands-on experience with in-vivo mouse tumor models (e.g., PDX, organoids, syngeneic systems). Demonstrated record of scientific productivity through peer-reviewed publications. Ability to work independently while contributing effectively to a collaborative research environment. Strong analytical, organizational, and communication skills. City of Hope employees pay is based on the following criteria: work experience, qualifications, and work location. City of Hope is an equal opportunity employer. To learn more about our Comprehensive Benefits, please CLICK HERE . United States-California-Duarte", "summaryDescription" : "Research Associate II or Postdoctoral Fellow - Cancer Biology at City of Hope. Skills: Cancer biology, Immunology, Molecular biology", "createdAt" : "2026-06-14T01:26:14.322", "lastUpdated" : "2026-06-15T07:01:18.905", "ingestTimestamp" : "2026-06-14T01:26:14.322", "mongoId" : "6a19719958b93c861e516dad", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 68640, "salaryAnnualMax" : 108160, "salaryBand" : "50k-75k", "hasSalary" : true, "allSkills" : [ "Cancer biology", "Immunology", "Molecular biology", "Prostate cancer progression", "In vivo tumor models", "In vitro tumor models" ], "skillCount" : 6, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Mid", "dataQualityScore" : 0.6666667, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Biotech", "llmIndustryConfidence" : 0.95 }, { "id" : "6a305d34f292fd229cf65117", "title" : "Clinical Manager of Research", "industry" : "Healthcare", "salary" : { "min" : 95000.0, "max" : 145000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for Clinical Manager of Research in Brandon, United States, adjusted for manager seniority and full-time employment." }, "location" : "Brandon, FL", "locations" : [ "Brandon, FL" ], "timestamp" : "2026-06-16T07:38:47.368", "fingerprint" : "bc65e3273a4ea36431920d54295cb9b86222944bb5685b53b91d917e3c36fea7", "source" : "jazzhr", "language" : "en", "externalId" : "w8ueiapxAe", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Brandon", "state" : "Florida", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "27.9284640,-82.2880508" } ], "locationText" : "Brandon, Florida, United States", "experienceLevel" : "Manager", "summaryDescription" : "Clinical Manager of Research", "createdAt" : "2026-06-15T22:19:36.814", "lastUpdated" : "2026-06-16T07:38:47.368", "ingestTimestamp" : "2026-06-15T22:19:36.814", "mongoId" : "6a305d34f292fd229cf65117", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 95000, "salaryAnnualMax" : 145000, "salaryBand" : "75k-100k", "hasSalary" : true, "allSkills" : [ ], "skillCount" : 0, "jobCategory" : "healthcare", "jobSubcategory" : "support", "seniorityLevel" : "Manager", "dataQualityScore" : 0.44444445, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Healthcare", "llmIndustryConfidence" : 0.95 }, { "id" : "6a3064e8f292fd229cfa3adb", "title" : "Member of Research Staff, Optimization", "company" : "Voleon", "industry" : "Research", "salary" : { "min" : 250000.0, "max" : 275000.0, "currency" : "USD", "frequency" : "Yearly" }, "location" : "Berkeley, CA", "locations" : [ "Berkeley, CA", "Remote, United States", "New York City, NY" ], "timestamp" : "2026-06-16T10:58:40.878", "fingerprint" : "6cd17e4c4b6806a588040f603811e31f31e25f4200bdf07be3f20a17cd099a7b", "source" : "ashby", "language" : "en", "applyUrl" : "https://jobs.ashbyhq.com/voleon/577dcdd1-80ac-42a7-979a-393cfc9f1e82/application", "externalId" : "577dcdd1-80ac-42a7-979a-393cfc9f1e82", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Berkeley", "state" : "California", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "37.8708393,-122.2728630" } ], "locationText" : "Berkeley, California, United States", "employmentType" : "FULL_TIME", "minimumEducation" : "PhD", "remoteFriendly" : true, "rawDescription" : "Voleon is a technology company that applies state-of-the-art AI and machine learning techniques to real-world problems in finance. For nearly two decades, we have led our industry and worked at the frontier of applying AI/ML to investment management. We have become a multibillion-dollar asset manager, and we have ambitious goals for the future. Your colleagues will include internationally recognized experts in artificial intelligence and machine learning research as well as highly experienced finance and technology professionals. In addition to our enriching and collegial working environment, we offer highly competitive compensation and benefits packages, technology talks by our experts, a beautiful modern office, daily catered lunches, and more. As a Member of the Optimization Research Staff, you will work at the forefront of optimization modeling and research at Voleon. Your research colleagues have collectively published hundreds of academic articles in top-tier venues on machine learning, systems, and theory, and we meet regularly to stay current on the latest academic research and share ideas. Founded in 2007 by two leading scientists (see management bios https://voleon.com/management/), http://voleon.com/about/management-2/ Voleon supports a culture of curiosity, collegiality, and creativity. Financial markets are noisy, high-dimensional, and subject to complex constraints, costs, and uncertainties. We have spent over a decade pioneering scientific advances in applying large-scale optimization techniques to this domain. Your work will focus on the models and optimization systems that help determine how Voleon trades in financial markets, taking into account our predictions and costs, and returns trade decisions in real time. We are interested in efficiently solving this optimization problem (algorithm development and production coding), as well as improving the problem formulations themelves to make better trading decisions. We also implement optimization models and algorithms in other areas of interest at the company. Years of academic training has prepared you for this moment. You won’t just conduct research, you’ll apply it on a daily basis, working with a team across the entire life cycle of applied research problems. Your work will span from basic research to productizing solutions and validating their efficacy in live trading. This role is a means to make a difference: you will help direct billions of dollars in trades daily while making an enduring impact on our field. *** Relocation and work visa eligibility for qualified candidates*** RESPONSIBILITIES - Develop a rich understanding of Voleon’s challenges and methodologies and propose research innovations and experiments to build, maintain and improve the models that govern our investment strategy - Design, implement, and improve large-scale constrained optimization methods that determine trading decisions under forecasts, risk, costs, liquidity, and operational constraints. - Develop, validate, and implement new models into production - Design and conduct experiments to improve simulations and evaluate the success of new models in a live environment - Communicate and collaborate effectively with other Members of Research Staff and Software Engineers at each stage, driving progress towards tangible outcomes - Keep up to date on the latest academic research to identify novel approaches to explore for application to our domain REQUIREMENTS - Background in modern optimization techniques and algorithms with a track record as an applied researcher - Evidence of strong mathematical abilities (e.g., publication record, graduate coursework, or competition placement) - Interest in software development techniques and willingness to write production level code (Python and/or C++ preferred) - Familiarity with numerical methods, optimization solvers, mathematical programming, convex or nonconvex optimization - Eagerness to work in collaborative and diverse teams - Interest in financial applications is essential, but prior finance industry experience is not a pre-requisite - Ph.D. level coursework is required, and a Ph.D. degree in a relevant field is preferred PREFERRED QUALIFICATIONS: - Expertise in stochastic control, and reinforcement learning “FRIENDS OF VOLEON” CANDIDATE REFERRAL PROGRAM If you have a great candidate in mind for this role and would like to have the potential to earn $15,000 if your referred candidate is successfully hired and employed by The Voleon Group, please use this form https://voleon.com/referrals/ to submit your referral. For more details regarding eligibility, terms and conditions please make sure to review the Voleon Referral Bonus Program https://voleon.com/assets/Voleon-Referral-Bonus-Program.pdf. EQUAL OPPORTUNITY EMPLOYER The Voleon Group is an Equal Opportunity employer. Applicants are considered without regard to race, color, religion, creed, national origin, age, sex, gender, marital status, sexual orientation and identity, genetic information, veteran status, citizenship, or any other factors prohibited by local, state, or federal law. #LI-MD1 ", "summaryDescription" : "Member of Research Staff, Optimization at Voleon", "createdAt" : "2026-06-16T00:24:31.444", "lastUpdated" : "2026-06-16T10:58:40.878", "ingestTimestamp" : "2026-06-16T00:24:31.444", "mongoId" : "6a3064e8f292fd229cfa3adb", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 250000, "salaryAnnualMax" : 275000, "salaryBand" : "200k+", "hasSalary" : true, "allSkills" : [ ], "skillCount" : 0, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Executive", "dataQualityScore" : 0.6666667, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "FinTech", "llmIndustryConfidence" : 0.95 }, { "id" : "69dde45b2beec4dd3d9a3f0c", "title" : "Postdoctoral Fellow - Type 1 Diabetes Research", "company" : "City of Hope", "industry" : "Healthcare", "salary" : { "min" : 60000.0, "max" : 85000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "The estimation is based on the market baseline for Postdoctoral Fellow positions in the Biotech industry in Duarte, California, adjusted for entry-level seniority." }, "location" : "United States-California-Duarte", "locations" : [ "United States-California-Duarte", "Post-doctoral Research", "Onsite, Days, Days" ], "timestamp" : "2026-06-15T10:07:28.119", "fingerprint" : "9b23e84101a22042004f464d2597a0220f1fadaa784cb294a8a959714c7f40a8", "source" : "taleo", "language" : "en", "applyUrl" : "https://aa067.taleo.net/careersection/ex/jobdetail.ftl?job=146121", "externalId" : "146121", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Duarte", "state" : "California", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "34.1394513,-117.9772873" } ], "locationText" : "Duarte, California, United States", "minimumEducation" : "PhD", "domainKnowledge" : "Type 1 diabetes; Diabetes immunology; miRNA biomarkers; Pancreas pathology; Novel therapeutics; Live pancreas tissue; Organ donors; Clinical trials; Pancreas-kidney transplant; Recurrent type 1 diabetes", "domainList" : [ "type-1-diabetes", "diabetes-immunology", "mirna-biomarkers", "pancreas-pathology", "novel-therapeutics", "live-pancreas-tissue", "organ-donors", "clinical-trials", "pancreas-kidney-transplant", "recurrent-type-1-diabetes" ], "domainSpecificKnowledge" : [ "Type 1 diabetes", "Diabetes immunology", "miRNA biomarkers", "Pancreas pathology", "Novel therapeutics", "Live pancreas tissue", "Organ donors", "Clinical trials", "Pancreas-kidney transplant", "Recurrent type 1 diabetes" ], "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Join the forefront of groundbreaking research at the Beckman Research Institute of City of Hope, where we're changing lives and making a real difference in the fight against cancer, diabetes, and other life-threatening illnesses. Our dedicated and compassionate faculty and staff are driven by a common mission: Contribute to innovative approaches in predicting, preventing, and curing diseases, shaping the future of medicine through cutting-edge research. A Postdoctoral Fellowship opportunity is immediately available for the highly motivated individual in the laboratory of Dr. Alberto Pugliese, MD in the AR-DMRI Department of Diabetes Immunology. The research is highly translational and primarily focused on human type 1 diabetes. The major ongoing projects are investigating miRNA biomarkers, pancreas pathology, and novel therapeutics, also in the context of the analysis of live pancreas tissue from organ donors obtained from the Network for Organ Donors with Diabetes (nPOD) , of which Dr. Pugliese is Executive Co-Director, and in future clinical trials. Upcoming studies are projected to include the analysis of samples from patients with type 1 diabetes participating in clinical trials, with trials expected to start in late 2023 and 2024. Additional studies involve analysis of samples from recipients of pancreas-kidney transplant in the context of recurrent type 1 diabetes. As a successful candidate, you will: · You must have experience with flow cytometry, molecular biology techniques, cell culture, microscopy, tissue processing, immunohistochemistry, immunofluorescence, data analysis (gene expression data, flow cytometry data, etc). While our research is primarily focused on human specimens, animal studies are used on occasion. Your qualifications should include: · PhD or M.D. · Pre-doctoral experience/training in type 1 diabetes research desirable but not an absolute requirement · Familiarity with computer software (Word, PowerPoint, Excel, databases) and basic statistical principles Additional Information: · For more information on nPOD please visit here : https://npod.org/ · For more information on the Arthur Riggs Diabetes & Metabolism Research Institute please visit here: https://www.cityofhope.org/research/riggs-institute/diabetes-milestones-and-history · For more information on The Wanek Family Project for Type 1 Diabetes please visit here: https://www.cityofhope.org/research/riggs-institute/wanek-project/wanek-family-project-team City of Hope employees pay is based on the following criteria: work experience, qualifications, and work location. City of Hope is an equal opportunity employer. To learn more about our Comprehensive Benefits, please CLICK HERE . United States-California-Duarte", "summaryDescription" : "Postdoctoral Fellow - Type 1 Diabetes Research at City of Hope", "createdAt" : "2026-06-14T06:50:59.651", "lastUpdated" : "2026-06-15T10:07:28.119", "ingestTimestamp" : "2026-06-14T06:50:59.651", "mongoId" : "69dde45b2beec4dd3d9a3f0c", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 60000, "salaryAnnualMax" : 85000, "salaryBand" : "50k-75k", "hasSalary" : true, "allSkills" : [ "Type 1 diabetes", "Diabetes immunology", "miRNA biomarkers", "Pancreas pathology", "Novel therapeutics", "Live pancreas tissue", "Organ donors", "Clinical trials", "Pancreas-kidney transplant", "Recurrent type 1 diabetes" ], "skillCount" : 10, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Entry", "dataQualityScore" : 0.6666667, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Biotech", "llmIndustryConfidence" : 0.95 }, { "id" : "69dde45b2beec4dd3d9a3ef9", "title" : "Division Director, Physics - Department of Radiation Oncology", "company" : "City of Hope", "salary" : { "min" : 275000.0, "max" : 450000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for an Executive-level Division Director in Physics within Healthcare in Duarte, California, adjusted for seniority and company size." }, "location" : "United States-California-Duarte", "locations" : [ "United States-California-Duarte", "Allied Health", "Onsite, Days, Days" ], "timestamp" : "2026-06-16T00:34:16.120", "fingerprint" : "49ecc908268225d4c54b07f987f863f1415dabb5a18c4d48663f50a319e42f04", "source" : "taleo", "language" : "en", "applyUrl" : "https://aa067.taleo.net/careersection/ex/jobdetail.ftl?job=234404", "externalId" : "234404", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Duarte", "state" : "California", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "34.1394513,-117.9772873" } ], "locationText" : "Duarte, California, United States", "employmentType" : "FULL_TIME", "experienceLevel" : "Director", "remoteFriendly" : false, "rawDescription" : "Join the transformative team at City of Hope , where we're changing lives and making a real difference in the fight against cancer, diabetes, and other life-threatening illnesses. City of Hope’s growing national system includes its Los Angeles campus, a network of clinical care locations across Southern California, a new cancer center in Orange County, California, and treatment facilities in Atlanta, Chicago and Phoenix. Our dedicated and compassionate employees are driven by a common mission: To deliver the cures of tomorrow to the people who need them today. Position Overview The Department of Radiation Oncology at City of Hope seeks an exceptional, visionary, and collaborative leader to serve as Division Director of Physics . This is a senior leadership position at the executive director level responsible for the full spectrum of academic and clinical responsibilities across department clinical service, research, and teaching. The Division Director will provide overarching leadership for medical physics and dosimetry services across Southern California while also playing a central role in shaping and overseeing City of Hope’s national physics program. This leader will work in close partnership with the Vice President of Clinical Operations and the Department Chair, with annual performance evaluations conducted jointly by both. The recruited physicist leader will join a dynamic and expanding team that includes over 20 faculty and staff medical physicists, 2 physics residents, and more than 20 dosimetrists in Southern California. Key Responsibilities Leadership & Administration Provide strategic, operational, and visionary leadership for medical physics and dosimetry across Southern California clinics, while contributing significantly to the national physics enterprise. Oversee and direct medical physicists and dosimetrists to ensure high‑quality, safe, and innovative clinical physics support services consistent with departmental standards and professional guidelines. Collaborate closely with departmental leadership to develop and execute long-term strategic plans, technology acquisition, program development, and quality improvement initiatives. Serve as a key member of departmental leadership forums, representing physics in institutional planning and multidisciplinary initiatives. Ensure compliance with regulatory, accreditation, and safety requirements across all sites. Clinical Responsibilities Perform and supervise the full range of clinical physics and dosimetry services, including treatment planning support, machine QA, commissioning, and implementation of new technologies. Support a strong, multimodality clinical program—including all forms of external beam radiotherapy (including SBRT/SRS), brachytherapy, motion management, image‑guided radiotherapy, surface-guided radiation, and advanced technologies in place (e.g. adaptive radiation therapy, biology guided radiation, molecular imaging, radiopharmaceuticals) or being developed. Education & Training Provide strong leadership across all educational mission areas. Oversee and coordinate training for residents, therapists, and dosimetry in the Radiation Oncology, Medical Physics, Radiation Therapy, and Dosimetry training programs. Promote excellence in teaching for trainees, students, and staff across the division. Research & Innovation Foster a culture of academic excellence and innovation in clinical, translational, and technological research. Support and expand research and development activities across physics, dosimetry, and interdisciplinary teams. Encourage faculty engagement in grant development, scholarly activity, and national professional service. Qualifications PhD in Medical Physics, Physics, Engineering, or a related field. At least 8 years of relevant experience. Board certification in Therapeutic Medical Physics (ABR or equivalent). Excellent communication skills and the ability to work collaboratively within a highly multidisciplinary environment. Demonstrated leadership experience in clinical physics operations, ideally across multiple sites or in a large integrated program. Strong record of academic achievement and excellence in research, teaching, and/or clinical innovation is preferred. Record of involvement in national and institutional service, and experience with externally funded research and ability to serve as principal investigator or co-investigator is preferred. Commitment to mentoring and developing faculty, staff, residents, and other trainees. Demonstrate a clear understanding of regulatory and compliance requirements. (e.g., APEx/ASTRO) Opportunities & Impact This position offers a unique opportunity to lead and shape a regional and national physics program within an internationally recognized cancer center. The Division Director will have the ability to influence clinical excellence across a large geographic network, contribute to the growth of City of Hope’s national radiation oncology program, and mentor the next generation of medical physicists, dosimetrists, and radiation oncology professionals. Salary and academic rank will be commensurate with experience and qualifications. For qualified candidates, a Vice Chair position may be offered. Employer and Environment City of Hope is a world‑renowned, National Cancer Institute (NCI)–designated comprehensive cancer center distinguished by its commitment to compassionate patient care, scientific excellence, and translational innovation. City of Hope is consistently ranked a top 10 cancer hospital with U.S. News and World Report. With a rapidly expanding national footprint, City of Hope combines cutting‑edge research, advanced clinical services, and a strong academic mission to deliver highly specialized, patient‑centered oncology care. Our national department leadership is centered in our main campus in Duarte, California, and a new radiation oncology center is in development with expected opening date in 2029. The new center will be characterized by a beautiful patient-centric space and pioneering technologies to drive growth and innovation as a leading academic center in the western region of the country. Our departmental environment is deeply collaborative, bringing together experts in many disciplines, including radiation oncology, medical physics, biology, data science, and engineering to accelerate discovery and improve outcomes. Faculty and staff benefit from access to leading‑edge technologies, robust portfolio of clinical trials, and institutional support for research, education, and professional growth. The culture emphasizes multidisciplinary teamwork, continuous learning, and a shared dedication to curing cancer and improving the lives of patients and families across diverse communities. How to Apply: Interested applicants should submit a CV and cover letter addressed to Terence Williams, M.D., Ph.D. , Chair, Department of Radiation Oncology , and Terry Cooper, MLS, FACHE, MBA, Vice President, Clinical Operations , c/o Phyllis Burch at pburch@coh.org. All inquiries can also be directed in confidence to Mrs. Phyllis Burch OR apply to this posting with your resume and cover letter attached. City of Hope employees pay is based on the following criteria: work experience, qualifications, and work location. City of Hope is an equal opportunity employer. To learn more about our Comprehensive Benefits, please CLICK HERE . United States-California-Duarte", "summaryDescription" : "Division Director, Physics - Department of Radiation Oncology at City of Hope", "createdAt" : "2026-06-14T21:16:47.394", "lastUpdated" : "2026-06-16T00:34:16.120", "ingestTimestamp" : "2026-06-14T21:16:47.394", "mongoId" : "69dde45b2beec4dd3d9a3ef9", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 275000, "salaryAnnualMax" : 450000, "salaryBand" : "200k+", "hasSalary" : true, "allSkills" : [ ], "skillCount" : 0, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Executive", "dataQualityScore" : 0.7777778, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Healthcare", "llmIndustryConfidence" : 0.98 }, { "id" : "6a161fd958b93c861e91b3be", "title" : "Head of Learning & Development", "company" : "Rohloff Group", "industry" : "Hospitality", "salary" : { "min" : 850000.0, "max" : 1300000.0, "currency" : "ZAR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Director of Learning & Development in Somerset West, South Africa, adjusted for the hospitality industry and company size." }, "location" : "Somerset West, ZA", "locations" : [ "Somerset West", "ZA" ], "timestamp" : "2026-06-15T22:14:11.948", "fingerprint" : "ab6f111f24858705c1b8a20f94a34b358bd224a1b3d5da46281beca3c6be87c9", "source" : "breezyhr", "language" : "en", "applyUrl" : "https://rohloff-group.breezy.hr/p/187109575c26-head-of-learning-development", "externalId" : "187109575c26", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Somerset West", "state" : "Western Cape", "country" : "South Africa", "continent" : "af", "source" : "llm", "workMode" : "onsite", "geo" : "-34.0822195,18.8489342" } ], "locationText" : "Somerset West, Western Cape, South Africa", "employmentType" : "FULL_TIME", "professionalSkills" : [ "Organizational development", "Talent management", "Employee relations", "HR processes" ], "majorSkills" : "Learning and Development", "majorSkillsList" : [ "Learning and Development" ], "coreResponsibilities" : "Build capability across restaurants, Scale capability across restaurants, Support business expansion", "qualificationsBasic" : "100+ restaurants capability scaling", "workSiteFlexibility" : "Onsite", "rawDescription" : "Join Rohloff Group as a Head of Learning & Development! Head of Learning & Development We are seeking a commercially focused and execution-driven Head of Learning & Development to build and scale capability across 100+ restaurants while supporting ongoing business expansion. The Head o", "summaryDescription" : "Head of Learning & Development at Rohloff Group. Skills: Learning and Development. Build capability across restaurants. Scale capability across restaurants", "createdAt" : "2026-06-14T19:26:36.834", "lastUpdated" : "2026-06-15T22:14:11.948", "ingestTimestamp" : "2026-06-14T19:26:36.834", "mongoId" : "6a161fd958b93c861e91b3be", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "200k+", "hasSalary" : false, "allSkills" : [ "Learning and Development", "Organizational development", "Talent management", "Employee relations", "HR processes" ], "skillCount" : 5, "jobCategory" : "operations", "jobSubcategory" : "hr", "seniorityLevel" : "Director", "dataQualityScore" : 0.7777778, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Hospitality", "llmIndustryConfidence" : 0.95 }, { "id" : "6a2ca5a074d8ee00a09b7694", "title" : "Manager, Learning and Development", "company" : "Precision for Medicine", "industry" : "Healthcare", "salary" : { "min" : 157200.0, "max" : 235800.0, "currency" : "PLN", "frequency" : "yearly", "is_estimated" : false }, "location" : "Remote (Poland)", "locations" : [ "Remote (Poland)" ], "certifications" : [ "PHR", "SHRM-CP" ], "timestamp" : "2026-06-15T23:54:14.596", "fingerprint" : "cbab6167d0bae3a20a6886df6036946ddff9639095e8cb53c114caf3e4aca29f", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/pfm/jobs/6019955004", "externalId" : "6019955004", "industryFunction" : { }, "structuredLocations" : [ { "country" : "Poland", "continent" : "eu", "workMode" : "remote" } ], "locationText" : "Poland", "employmentType" : "FULL_TIME", "minimumEducation" : "Bachelor's", "experienceMinYears" : 4, "experienceMaxYears" : 6, "experienceLevel" : "Manager", "professionalSkills" : [ "Talent management", "Employee relations", "HR processes", "Organizational development", "Change management", "HRIS administration", "Recruitment", "Onboarding", "Performance management", "Learning and development", "Compensation and benefits", "HR policy development", "Compliance", "Data analysis" ], "hardSkillsList" : [ "HRIS reporting", "Payroll processing", "Benefits administration", "HR metrics", "Employment law compliance" ], "hardSkills" : [ { "name" : "HRIS reporting", "level" : "intermediate" }, { "name" : "Payroll processing", "level" : "intermediate" }, { "name" : "Benefits administration", "level" : "intermediate" }, { "name" : "HR metrics", "level" : "intermediate" }, { "name" : "Employment law compliance", "level" : "intermediate" } ], "majorSkills" : "Talent acquisition, Employee relations, HR operations", "majorSkillsList" : [ "Talent acquisition", "Employee relations", "HR operations" ], "coreResponsibilities" : "Manage HR operations, Oversee talent acquisition, Develop employee relations programs, Administer HR policies, Ensure legal compliance, Manage HRIS and ATS, Support organizational development initiatives, Facilitate performance management, Coordinate learning and development programs, Process payroll and benefits, Analyze HR data, Drive HR process improvements", "teamCollaboration" : "Cross-functional teams; Senior leadership", "projectManagementSkills" : [ "Project planning", "Process improvement" ], "domainKnowledge" : "Employment law; HR best practices", "domainList" : [ "employment-law", "hr-best-practices" ], "domainSpecificKnowledge" : [ "Employment law", "HR best practices" ], "toolProficiency" : [ "HRIS", "ATS" ], "communicationSkills" : "Policy communication; Employee communication", "documentationSkills" : "HR documentation; Policy writing", "continuousLearning" : "Professional development", "problemSolvingSkills" : "Conflict resolution; Root cause analysis", "outcomesObjectives" : "Improve employee engagement; Streamline HR processes; Ensure compliance", "qualificationsBasic" : "4+ years experience, Bachelor's degree", "qualificationsPreferred" : "Master's degree preferred, PHR or SHRM-CP preferred, Experience with HRIS systems preferred, Experience with talent acquisition preferred, Experience with employee relations preferred, Experience with performance management preferred, Experience with learning and development preferred", "remoteFriendly" : true, "workSiteFlexibility" : "Flexible", "rawDescription" : "We are hiring a Manager, Learning and Development based in Hungary, Poland, Romania, Serbia or Slovakia to join our team. The Manager, Learning & Development is responsible for supporting training strategy, identifying, developing, and delivering training solutions that support global Precision for Medicine functions. This role partners with subject matter experts to design effective learning programs across translational sciences (labs and logistics), clinical operations, project management, GCP, data management, and regulatory/compliance areas in support of functional and GCP requirements. The Manager serves as the primary intake point for training requests, coordinates new hire onboarding, and supports refinement of learning technologies and platforms. Clear communication and collaboration with stakeholders and L&D leadership are essential to success in this role. Main Duties & Responsibilities: Partner with functional SMEs to assess training needs, design and develop appropriate content, and deliver effective learning solutions. Lead coordination and delivery of new hire role specific onboarding for Precision for Medicine, including scheduling and tracking as applicable. Design and deliver instructor‑led, virtual, and e‑learning training programs aligned with adult learning principles. Serve as first‑line triage for training requests and provide guidance on existing tools, templates, and materials. Manage and support learning platforms and systems used by the L&D function. Maintain accurate training documentation, records, and reporting in accordance with regulatory expectations. Collaborate with functional leadership to establish and maintain role‑based curricula by function, including documented annual reviews of curricula and training hour requirements, with updates completed as regulations, organizational needs, or role expectations evolve. Education and Experience: Graduate, postgraduate, 4-year college degree, or equivalent experience in a scientific or healthcare discipline. A minimum of 4-6 years of clinical trial experience within pharmaceutical, biotechnology or CRO and/or healthcare setting, of which 4 years must include roles directly related to clinical trial execution supporting delivery teams with training and development. Proficiency with learning development platforms. Proficiency with Microsoft Office. Excellent verbal communication skills be able to communicate effectively in the English language. Strong writing and recordkeeping abilities. Ability to plan and manage multiple complex projects. Demonstrated ability to develop positive working relationships with individual and teams internally and externally. Core understanding of medical terminology and clinical trial activities in relation to execution of a clinical development plan. Strong knowledge of ICH/GCP relating to clinical trial management. Precision for Medicine is the first global precision medicine clinical research services organization, purpose-built to improve the clinical research and development process for new therapeutics. Our novel approach integrates clinical operations excellence, with laboratory expertise, and advanced data sciences to inform every step. We apply our expertise to trials at all stages—from early development through approval—with embedded experience in oncology and rare disease. Precision is required by law in some states or cities to include a reasonable estimate of the compensation range for this role. This compensation range takes into account the wide range of factors that are considered in making compensation decisions including but not limited to: skill sets, experience and training, licensure and certifications, and other business and organizational needs. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. At Precision, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. This role is also eligible for a discretionary annual bonus, private medical insurance, MultiSport Card, life insurance, pension, home working allowance, vacation, among other benefits. Reasonable estimate of the current range for Poland: 157,200 PLN - 235,800 PLN gross per annum #LI-NC1 #LI-Remote Any data provided as a part of this application will be stored in accordance with our Privacy Policy. For CA applicants, please also refer to our CA Privacy Notice. Precision Medicine Group is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, age, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status or other characteristics protected by law. If you are an individual with a disability and require a reasonable accommodation to complete any part of the application process or are limited in the ability or unable to access or use this online application process and need an alternative method for applying, you may contact Precision Medicine Group at QuestionForHR@precisionmedicinegrp.com. It has come to our attention that some individuals or organizations are reaching out to job seekers and posing as potential employers presenting enticing employment offers. We want to emphasize that these offers are not associated with our company and may be fraudulent in nature. Please note that our organization will not extend a job offer without prior communication with our recruiting team, hiring managers and a formal interview process.", "summaryDescription" : "Manager, Learning and Development at Precision for Medicine. Skills: Talent acquisition, Employee relations, HR operations. Manage HR operations. Oversee talent acquisition", "postedDate" : "2026-06-14T18:37:27.221", "createdAt" : "2026-06-14T18:37:27.221", "lastUpdated" : "2026-06-15T23:54:14.596", "ingestTimestamp" : "2026-06-14T18:37:27.221", "mongoId" : "6a2ca5a074d8ee00a09b7694", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "150k-200k", "hasSalary" : false, "allSkills" : [ "HRIS reporting", "Payroll processing", "Benefits administration", "HR metrics", "Employment law compliance", "Talent acquisition", "Employee relations", "HR operations", "Talent management", "HR processes", "Organizational development", "Change management", "HRIS administration", "Recruitment", "Onboarding", "Performance management", "Learning and development", "Compensation and benefits", "HR policy development", "Compliance", "Data analysis", "Project planning", "Process improvement", "Employment law", "HR best practices", "PHR", "SHRM-CP", "HRIS", "ATS" ], "skillCount" : 29, "jobCategory" : "operations", "jobSubcategory" : "hr", "seniorityLevel" : "Manager", "dataQualityScore" : 1.0, "daysOld" : 1, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "Healthcare", "llmIndustryConfidence" : 0.95 }, { "id" : "6a305c1bf292fd229cf60b4d", "title" : "Associate Director, Prospect Research", "company" : "Harvard University", "industry" : "Higher Education", "salary" : { "min" : 115500.0, "max" : 173000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for Associate Director, Prospect Research in Boston, MA, adjusted for the education industry and manager seniority at a large university." }, "location" : "Boston, MA, United States", "locations" : [ "Boston", "MA", "United States" ], "timestamp" : "2026-06-16T12:18:16.327", "fingerprint" : "57a4b2480e4471e0c85daadde43cf83bf33ea01950f30ad61116b999bd343c72", "source" : "smartrecruiters", "language" : "en", "applyUrl" : "https://jobs.smartrecruiters.com/HarvardUniversity/3743990013617486-associate-director-prospect-research", "externalId" : "3743990013617486", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Boston", "state" : "Massachusetts", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "42.3588336,-71.0578303" } ], "locationText" : "Boston, Massachusetts, United States", "employmentType" : "FULL_TIME", "experienceLevel" : "not-applicable", "technicalSkills" : "SQL, R, Python", "professionalSkills" : [ "Prospect research", "Pipeline development", "Data mining", "Predictive modeling", "Relationship mapping", "Wealth analysis", "Affinity analysis", "Due diligence", "Data analysis", "Research" ], "hardSkillsList" : [ "Data analysis", "Wealth estimation", "Philanthropic behavior analysis" ], "hardSkills" : [ { "name" : "Data analysis", "level" : "intermediate" }, { "name" : "Wealth estimation", "level" : "intermediate" }, { "name" : "Philanthropic behavior analysis", "level" : "intermediate" } ], "majorSkills" : "Prospect research, Pipeline development, Data analysis", "majorSkillsList" : [ "Prospect research", "Pipeline development", "Data analysis" ], "coreResponsibilities" : "Strengthen and expand prospect pipeline, Identify high-potential donor prospects, Evaluate donor prospects, Prioritize donor prospects, Develop proactive prospecting strategies, Develop pipeline development strategies, Identify new major gift prospects, Identify principal gift prospects, Support data-driven portfolio growth, Support fundraising strategy, Identify strategic advancement of prospects, Qualify prospects, Advance prospects through fundraising pipeline, Provide actionable research, Provide analysis, Provide recommendations on donor capacity, Provide recommendations on donor inclination, Provide recommendations on donor interests, Provide recommendations on donor engagement, Conduct in depth research on donors, Conduct research on potential donors, Prepare research products, Analyze wealth indicators, Analyze philanthropic behavior, Estimate giving capacity, Identify strategic opportunities for cultivation, Oversee due diligence reviews, Summarize findings in assessments, Distinguish fact from allegation, Convey levels of risk, Outline ambiguities, Outline limitations, Integrate due diligence into gift acceptance, Integrate due diligence into prospect strategy, Extract data from fundraising database, Clean data from fundraising database, Interpret data from fundraising database, Analyze large datasets, Identify trends in datasets, Develop reports for prospect identification, Develop reports for portfolio management, Incorporate AI tools for tasks, Summarize long documents, Scan open-source media", "teamCollaboration" : "Partner with Director of Research; Collaborate with gift officers; Partner with fundraising teams; Collaborate with Development leadership; Collaborate with campus partners; Work with Development Technology colleagues", "domainKnowledge" : "Fundraising strategy; Prospect research; Pipeline development; Due diligence; Reputational risk; Data analytics; AI tools", "domainList" : [ "fundraising-strategy", "prospect-research", "pipeline-development", "due-diligence", "reputational-risk", "data-analytics", "ai-tools" ], "domainSpecificKnowledge" : [ "Fundraising strategy", "Prospect research", "Pipeline development", "Due diligence", "Reputational risk", "Data analytics", "AI tools" ], "toolProficiency" : [ "Bloomberg Terminal", "Reuters Eikon", "FactSet" ], "communicationSkills" : "Writing skills; Concise reporting", "documentationSkills" : "Prepare research products; Prepare profiles; Prepare briefings; Prepare memos; Prepare landscape scans", "continuousLearning" : "Professional development opportunities; Tuition assistance; Tuition reimbursement", "problemSolvingSkills" : "Data analysis; Predictive modeling; Relationship mapping; Wealth and affinity analysis", "qualificationsBasic" : "5+ years prospect research experience, Analytical skills, Writing skills, Excellent judgment", "qualificationsPreferred" : "AI enabled solutions experience, Experience with large datasets", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "By working at Harvard University, you join a vibrant community that advances Harvard's world-changing mission in meaningful ways, inspires innovation and collaboration, and builds skills and expertise. We are dedicated to creating a diverse and welcoming environment where everyone can thrive. Why join Harvard Medical School? Harvard Medical School's mission is to nurture a diverse, inclusive community dedicated to alleviating suffering and improving health and well-being for all through excellence in teaching and learning, discovery and scholarship, and service and leadership. You’ll be at the heart of biomedical discovery, education, and innovation, working alongside world-renowned faculty and a community dedicated to improving human health. This is more than a job - it’s an opportunity to shape the future of medicine. Harvard Medical School (HMS) seeks an Associate Director of Prospect Research to play a key role in advancing our fundraising strategy through high-quality pipeline development, prospect research, due diligence, and data driven insights. Reporting to the Director of Development/Prospect Research, the Associate Director helps to develop proactive prospecting and pipeline development strategies utilizing data mining, predictive modeling, relationship mapping, and assists the team in effectively utilizing data and modern tools—including AI enabled solutions—to work more efficiently and effectively. The ideal candidate is an experienced research professional who is comfortable working with large datasets; has strong analytical and writing skills; exercises excellent judgment around reputational risk; and is curious about how emerging technologies can responsibly support research and decision making. Key Responsibilities: Prospect Management and Pipeline Development * Partner with the Director of Research to strengthen and expand the prospect pipeline through the identification, evaluation, and prioritization of high-potential donor prospects using evolving research tools, screening resources, and data analytics. * Develop and implement proactive prospecting and pipeline development strategies utilizing data mining, predictive modeling, relationship mapping, and wealth and affinity analysis to identify new major and principal gift prospects and support data-driven portfolio growth and fundraising strategy. * Collaborate closely with principal and major gift officers to identify, qualify, and strategically advance prospects through the fundraising pipeline in alignment with institutional priorities and fundraising goals. * Partner with and participate in prospect strategy discussions with frontline fundraising teams to support portfolio development and prospect strategy by providing actionable research, analysis, and recommendations on donor capacity, inclination, interests, and engagement. Prospect Research and Strategic Insight * Conduct in depth research on current and potential donors, including biographical, business, philanthropic, and financial information. * Prepare clear, concise, and well-organized research products (profiles, briefings, memos, landscape scans) for senior leadership and frontline fundraisers. * Analyze wealth indicators and philanthropic behavior to estimate giving capacity and identify strategic opportunities for principal and major gift cultivation. * Monitor news, public filings, and other sources to keep stakeholders informed of developments affecting key prospects and donors. Due Diligence and Reputational Risk * Lead or oversee due diligence reviews on high-priority prospects and institutional partners, with attention to litigation, regulatory actions, sanctions and watchlists, corruption and fraud, and other activities that may conflict with HMS’s mission and values. * Summarize findings in balanced, evidence-based assessments that clearly distinguish fact from allegation, convey levels of risk, and outline any ambiguities or limitations. * Collaborate with Development leadership and other campus partners on the integration of due diligence into gift acceptance and prospect strategy decisions. Data, Analytics, and Use of AI Tools * Work with Development Technology colleagues to extract, clean, and interpret data from the fundraising database and related systems to support prospecting, portfolio analysis, and campaign planning. * Use Excel and other tools (e.g., SQL, R, Python, or similar) to analyze large datasets, identify trends, and develop reports that inform prospect identification and portfolio management. * Thoughtfully incorporate AI tools (for example, large language models, GPTs/Gens, and other generative AI applications) to assist with tasks such as summarizing long documents, scanning open-source media, organizing notes, and drafting initial language. As part of your application, we recommend including a cover letter that will help us better understand your qualifications and background. This can provide valuable insight into your experience and interest in the role. ## Qualifications Basic Qualifications: * Bachelor's degree or equivalent work experience required. * 5 or more years of progressively responsible experience in prospect research, due diligence, analytics, consulting, financial analysis, journalism, or a closely related field. Additional Qualifications and Skills: * Strong analytical skills and comfort working with data. * Advanced Excel skills (e.g., formulas, pivot tables, data cleansing). * Experience querying, exporting, and interpreting data from a CRM or fundraising database (familiarity with Advance helpful). * Demonstrated experience conducting comprehensive research using public records, news databases, business and financial filings, and specialized research tools. * Proven ability to synthesize complex information into clear, succinct written products tailored to senior audiences. * Demonstrated experience handling sensitive and confidential information with discretion and integrity. * Excellent organizational skills and the ability to manage multiple priorities and deadlines in a fast-paced environment. * Strong interpersonal and communication skills, with the ability to collaborate effectively across teams. * Experience with SQL and at least one statistical or scripting language (e.g., R or Python) for data analysis and modeling. * Experience with data visualization and reporting tools (e.g., Tableau, Power BI, or similar). * Familiarity with AI enabled tools and a track record of using them thoughtfully to enhance, rather than replace, human research and judgment. * Prior responsibility for due diligence or reputational risk assessments in a fundraising, legal, compliance, or corporate environment. * Experience with advancement databases (e.g., Blackbaud, Salesforce, Ellucian Advance, or similar). ## Additional Information * Standard Hours/Schedule: 35 hours per week * Visa Sponsorship Information: Harvard University is unable to provide visa sponsorship for this position. * Pre-Employment Screening: Identity, Education * Staying Informed About Your Application: Due to the high volume of applications, we may not always be able to reach out right away, but you can track your status anytime through the Careers@Harvard portal. #LI-WG1 Work Format Details This position has been determined by school or unit leaders that some of the duties and responsibilities can be effectively performed at a non-Harvard location. The work schedule and location will be set by the department at its discretion and based upon operational needs. When not working at a Harvard or Harvard-designated location, employees in hybrid positions must work in a Harvard registered state in compliance with the University’s Policy on [Employment Outside of Massachusetts](https://harvie.harvard.edu/sites/g/files/omnuum12046/files/humanresources/files/employmentoutsidema_policy.pdf). Additional details will be discussed during the interview process. Certain visa types and funding sources may limit work location. Individuals must meet work location sponsorship requirements prior to employment. Salary Grade and Ranges This position is salary grade level 057. Please visit [Harvard's Salary Ranges](https://hr.harvard.edu/salary-ranges) to view the corresponding salary range and related information. Benefits Harvard offers a comprehensive benefits package that is designed to support a healthy work-life balance and your physical, mental and financial wellbeing. Because here, you are what matters. Our benefits include, but are not limited to: * Generous paid time off including parental leave * Medical, dental, and vision health insurance coverage starting on day one * Retirement plans with university contributions * Wellbeing and mental health resources * Support for families and caregivers * Professional development opportunities including tuition assistance and reimbursement * Commuter benefits, discounts and campus perks Learn more about these and additional benefits on our [Benefits & Wellbeing Page](https://hr.harvard.edu/benefits-wellbeing). EEO/Non-Discrimination Commitment Statement Harvard University is committed to [equal opportunity](https://hr.harvard.edu/sites/g/files/omnuum6281/files/2025-04/reaffirmationstatement.pdf) and [non-discrimination](https://provost.harvard.edu/sites/g/files/omnuum12476/files/2025-07/non-discriminationandanti-bullyingpolicies.pdf). We seek talent from all parts of society and the world, and we strive to ensure everyone at Harvard thrives. Our differences help our community advance Harvard's academic purposes. Harvard has an [equal employment opportunity policy](https://hr.harvard.edu/sites/g/files/omnuum6281/files/2025-04/reaffirmationstatement.pdf) that outlines our commitment to prohibiting discrimination on the basis of race, ethnicity, color, national origin, sex, sexual orientation, gender identity, veteran status, religion, disability, or any other characteristic protected by law or identified in the university's [non-discrimination policy](https://provost.harvard.edu/sites/g/files/omnuum12476/files/2025-07/non-discriminationandanti-bullyingpolicies.pdf). Harvard's [equal employment opportunity policy](https://hr.harvard.edu/sites/g/files/omnuum6281/files/2025-04/reaffirmationstatement.pdf) and [non-discrimination policy](https://provost.harvard.edu/sites/g/files/omnuum12476/files/2025-07/non-discriminationandanti-bullyingpolicies.pdf) help all community members participate fully in work and campus life free from harassment and discrimination.", "summaryDescription" : "Associate Director, Prospect Research at Harvard University. Skills: Prospect research, Pipeline development, Data analysis. Strengthen and expand prospect pipeline. Identify high-potential donor prospects", "postedDate" : "2026-06-15T13:25:18.000", "createdAt" : "2026-06-15T23:45:01.127", "lastUpdated" : "2026-06-16T12:18:16.327", "ingestTimestamp" : "2026-06-15T23:45:01.127", "mongoId" : "6a305c1bf292fd229cf60b4d", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 115500, "salaryAnnualMax" : 173000, "salaryBand" : "100k-150k", "hasSalary" : true, "allSkills" : [ "Data analysis", "Wealth estimation", "Philanthropic behavior analysis", "Prospect research", "Pipeline development", "Data mining", "Predictive modeling", "Relationship mapping", "Wealth analysis", "Affinity analysis", "Due diligence", "Research", "Fundraising strategy", "Reputational risk", "Data analytics", "AI tools", "Bloomberg Terminal", "Reuters Eikon", "FactSet" ], "skillCount" : 19, "jobCategory" : "finance", "jobSubcategory" : "accounting", "seniorityLevel" : "Manager", "dataQualityScore" : 1.0, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Education", "llmIndustryConfidence" : 0.95 }, { "id" : "6a305c1bf292fd229cf60b4f", "title" : "Research Associate (Writing Focused)", "company" : "Harvard University", "industry" : "Higher Education", "salary" : { "min" : 52000.0, "max" : 75000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Junior Research Associate in Boston, adjusted for the education industry and a large university employer." }, "location" : "Boston, MA, United States", "locations" : [ "Boston", "MA", "United States" ], "timestamp" : "2026-06-16T09:04:16.142", "fingerprint" : "d41d65526eb24660c00dd194a7e29388ddc091869ff8a3a0d39a68a7c2ebd835", "source" : "smartrecruiters", "language" : "en", "applyUrl" : "https://jobs.smartrecruiters.com/HarvardUniversity/3743990013616546-research-associate-writing-focused-", "externalId" : "3743990013616546", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Boston", "state" : "Massachusetts", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "hybrid", "geo" : "42.3588336,-71.0578303" } ], "locationText" : "Boston, Massachusetts, United States", "employmentType" : "FULL_TIME", "experienceMinYears" : 0, "experienceMaxYears" : 2, "experienceLevel" : "entry", "professionalSkills" : [ "Content creation", "Research analysis", "Data interpretation", "Writing" ], "hardSkillsList" : [ "Academic writing", "Content development", "Research support" ], "hardSkills" : [ { "name" : "Academic writing", "level" : "intermediate" }, { "name" : "Content development", "level" : "intermediate" }, { "name" : "Research support", "level" : "intermediate" } ], "majorSkills" : "Writing, Research, Content creation", "majorSkillsList" : [ "Writing", "Research", "Content creation" ], "coreResponsibilities" : "Support faculty on writing/content focused work, Provide subject-area knowledge, Provide analysis to faculty, Provide interpretation to faculty, Identify research questions, Explore research questions, Write cases, Write case supplements, Write project reports, Write drafts for book project, Create original writing, Write articles for business audiences, Apply research ideas to new projects, Apply research concepts to new projects, Apply research methodologies to new projects, Structure assignments, Keep faculty informed, Build trust with colleagues, Build collaboration with colleagues, Engage directly with constituents", "teamCollaboration" : "Engage directly with colleagues; Engage directly with constituents", "projectManagementSkills" : [ "Website project management" ], "domainKnowledge" : "Business topics; Entrepreneurial decision-making; Value creation; Venture-building; Space sector", "domainList" : [ "business-topics", "entrepreneurial-decision-making", "value-creation", "venture-building", "space-sector" ], "domainSpecificKnowledge" : [ "Business topics", "Entrepreneurial decision-making", "Value creation", "Venture-building", "Space sector" ], "continuousLearning" : "Professional development opportunities; Tuition assistance; Tuition reimbursement", "problemSolvingSkills" : "Discretionary judgment", "qualificationsBasic" : "Bachelor's degree with GPA above 3.5, Prior experience supporting short form writing, Prior experience supporting website project management", "qualificationsPreferred" : "Evidence of prior high-quality, original academic writing, Background in analysis and interpretation of relevant data, Ability to read academic, subject-specific information, Familiar with navigating a complex organization", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "By working at Harvard University, you join a vibrant community that advances Harvard's world-changing mission in meaningful ways, inspires innovation and collaboration, and builds skills and expertise. We are dedicated to creating a diverse and welcoming environment where everyone can thrive. Why join Harvard Business School? Harvard Business School, located on a 40-acre campus in Boston, was founded in 1908 as part of Harvard University. It is among the world's most trusted sources of management education and thought leadership. For more than a century, the School's faculty has combined a passion for teaching with rigorous research conducted alongside practitioners at world-leading organizations to educate leaders who make a difference in the world. Through a dynamic ecosystem of research, learning, and entrepreneurship that includes MBA, Doctoral, Executive Education, and Online programs, as well as numerous initiatives, centers, institutes, and labs, Harvard Business School fosters bold new ideas and collaborative learning networks that shape the future of business. Harvard Business School seeks multiple Research Associate (RA) to support faculty members on writing / content focused work. The successful candidate will have a strong understanding of business topics and prior writing experience. The Research Associate (RA) position reports directly to faculty supervisors and administrative manager in the Research Staff Services office. Ideal RA candidates will be comfortable in an environment that requires a high level of independence, intellectual curiosity, and the ability to use discretionary judgment. Please note the faculty currently hiring include: * [Alison Wood Brooks](https://www.hbs.edu/faculty/Pages/profile.aspx?facId=684820) * [Fritz Foley](https://www.hbs.edu/faculty/Pages/profile.aspx?facId=10647) * [Reza Satchu](https://www.hbs.edu/faculty/Pages/profile.aspx?facId=121451) * Work with Professor Satchu on cases, podcasts, and an exciting book project while exploring the fundamental dynamics of entrepreneurial decision-making and value creation, as his teaching and research draw on real-world venture-building experience to develop practical frameworks that help founders navigate extreme uncertainty and build ventures with meaningful societal impact. * [Matthew Weinzierl](https://www.hbs.edu/faculty/Pages/profile.aspx?facId=496493) * Prof. Weinzierl teaches and researches the space sector, and he is looking for a research associate who can be his partner in those efforts. If you are interested in building a career in the space sector, have dynamic people skills that will enable you to engage with industry leaders, and are a self-starter with ambitious goals for your future in space, this role provides an ideal launch pad. Primary duties: * Work under the general direction of HBS faculty on topics central to HBS research agenda. Provide subject-area knowledge, analysis and interpretation to faculty member. Identify and explore a wide-range of questions related to faculty’s research agenda. * Write cases, case supplements, project reports, and drafts for a book project from start to finish creating original writing based on subject-area expertise, research, and interviews, and write articles for applicable business audiences such as Harvard Business Review. * Under general direction of faculty member, must be able to take complex research ideas, concepts, and methodologies and apply them to new projects and situations. Must be able to structure assignments and keep faculty member informed as necessary, using own judgment. * Build trust and collaboration by being present on-site and engaging directly with colleagues and various constituents. * Responsible for other duties as assigned. ## Qualifications Basic Qualifications: * Bachelor’s degree with a GPA above 3.5 is required. * Prior experience supporting short form writing and website project management preferred. Additional Qualifications and Skills: * Evidence of prior high-quality, original academic writing, and background in analysis and interpretation of relevant data, research, news, and literature is helpful. Ability to read academic, subject-specific information and write a reasoned and thoughtful analysis, as well as produce a creative interpretation, is a must. * The candidate must have extremely high standards in terms of quality of work, attention to detail, strong organization skills, and absolute commitment to task completion. Must be able to balance multiple tasks and shifting priorities under tight deadlines at an accelerated pace when necessary. It is helpful if the candidate is familiar with navigating a complex organization, such as Harvard Business School. ## Additional Information Appointment End Date: June 30, 2027. These are term appointments starting summer 2026 through June 30, 2027, with an expectation of reappointment until June 30, 2028, based on funding and performance. All Research Associate roles at HBS are structured as one-year term appointments, but faculty strongly prefer candidates willing to commit for two years. Standard Hours/Schedule: 40 hours per week Visa Sponsorship Information: Harvard University is unable to provide visa sponsorship for this position Pre-Employment Screening: Identity, Education Other Information: This is a hybrid position which we consider to be a combination of remote and onsite work at our Boston, MA based campus. HBS expects all staff to be onsite a minimum of 3 days per week and departments provide onsite coverage Monday – Friday. Specific hours and days onsite will be determined by business needs and are subject to change with appropriate advanced notice. We may conduct candidate interviews virtually (phone and/or via Zoom) and/or in-person for this role. A cover letter is required to be considered for this opportunity. All candidates will be expected to submit a writing sample, code sample (if applicable to their skill set) and a transcript. Work Format Details This position has been determined by school or unit leaders that some of the duties and responsibilities can be effectively performed at a non-Harvard location. The work schedule and location will be set by the department at its discretion and based upon operational needs. When not working at a Harvard or Harvard-designated location, employees in hybrid positions must work in a Harvard registered state in compliance with the University’s Policy on [Employment Outside of Massachusetts](https://harvie.harvard.edu/sites/g/files/omnuum12046/files/humanresources/files/employmentoutsidema_policy.pdf). Additional details will be discussed during the interview process. Certain visa types and funding sources may limit work location. Individuals must meet work location sponsorship requirements prior to employment. Salary Grade and Ranges This position is salary grade level 055. Please visit [Harvard's Salary Ranges](https://hr.harvard.edu/salary-ranges) to view the corresponding salary range and related information. Benefits Harvard offers a comprehensive benefits package that is designed to support a healthy work-life balance and your physical, mental and financial wellbeing. Because here, you are what matters. Our benefits include, but are not limited to: * Generous paid time off including parental leave * Medical, dental, and vision health insurance coverage starting on day one * Retirement plans with university contributions * Wellbeing and mental health resources * Support for families and caregivers * Professional development opportunities including tuition assistance and reimbursement * Commuter benefits, discounts and campus perks Learn more about these and additional benefits on our [Benefits & Wellbeing Page](https://hr.harvard.edu/benefits-wellbeing). EEO/Non-Discrimination Commitment Statement Harvard University is committed to [equal opportunity](https://hr.harvard.edu/sites/g/files/omnuum6281/files/2025-04/reaffirmationstatement.pdf) and [non-discrimination](https://provost.harvard.edu/sites/g/files/omnuum12476/files/2025-07/non-discriminationandanti-bullyingpolicies.pdf). We seek talent from all parts of society and the world, and we strive to ensure everyone at Harvard thrives. Our differences help our community advance Harvard's academic purposes. Harvard has an [equal employment opportunity policy](https://hr.harvard.edu/sites/g/files/omnuum6281/files/2025-04/reaffirmationstatement.pdf) that outlines our commitment to prohibiting discrimination on the basis of race, ethnicity, color, national origin, sex, sexual orientation, gender identity, veteran status, religion, disability, or any other characteristic protected by law or identified in the university's [non-discrimination policy](https://provost.harvard.edu/sites/g/files/omnuum12476/files/2025-07/non-discriminationandanti-bullyingpolicies.pdf). Harvard's [equal employment opportunity policy](https://hr.harvard.edu/sites/g/files/omnuum6281/files/2025-04/reaffirmationstatement.pdf) and [non-discrimination policy](https://provost.harvard.edu/sites/g/files/omnuum12476/files/2025-07/non-discriminationandanti-bullyingpolicies.pdf) help all community members participate fully in work and campus life free from harassment and discrimination.", "summaryDescription" : "Research Associate (Writing Focused) at Harvard University. Skills: Writing, Research, Content creation. Support faculty on writing/content focused work. Provide subject-area knowledge", "postedDate" : "2026-06-15T12:19:29.000", "createdAt" : "2026-06-15T23:43:17.755", "lastUpdated" : "2026-06-16T09:04:16.142", "ingestTimestamp" : "2026-06-15T23:43:17.755", "mongoId" : "6a305c1bf292fd229cf60b4f", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 52000, "salaryAnnualMax" : 75000, "salaryBand" : "50k-75k", "hasSalary" : true, "allSkills" : [ "Academic writing", "Content development", "Research support", "Writing", "Research", "Content creation", "Research analysis", "Data interpretation", "Website project management", "Business topics", "Entrepreneurial decision-making", "Value creation", "Venture-building", "Space sector" ], "skillCount" : 14, "jobCategory" : "general", "jobSubcategory" : "general", "seniorityLevel" : "Junior", "dataQualityScore" : 1.0, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Education", "llmIndustryConfidence" : 0.95 }, { "id" : "6a2ca5a074d8ee00a09b7696", "title" : "Manager, Learning and Development", "company" : "Precision for Medicine", "industry" : "Healthcare", "salary" : { "min" : 140000.0, "max" : 210000.0, "currency" : "PLN", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Manager, Learning and Development in Poland, adjusted for the biotech industry and remote work." }, "location" : "Remote (Poland)", "locations" : [ "Remote (Poland)" ], "timestamp" : "2026-06-16T04:42:00.883", "fingerprint" : "d6af2cab5394c56823fc45ac60a629db666bf51f3d5b559349d3bfd01ab2d4d5", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/pfm/jobs/6019945004", "externalId" : "6019945004", "industryFunction" : { }, "structuredLocations" : [ { "country" : "Poland", "continent" : "eu", "workMode" : "remote" } ], "locationText" : "Poland", "minimumEducation" : "Bachelor's", "experienceMinYears" : 4, "experienceMaxYears" : 6, "experienceLevel" : "Manager", "professionalSkills" : [ "Talent management", "Employee relations", "Organizational development" ], "majorSkills" : "Human Resources", "majorSkillsList" : [ "Human Resources" ], "coreResponsibilities" : "Manage HR processes, Develop talent programs, Support employee relations, Drive organizational change, Implement HR initiatives, Oversee HR operations", "remoteFriendly" : true, "workSiteFlexibility" : "Remote", "rawDescription" : "We are hiring a Manager, Learning and Development based in Hungary, Poland, Romania, Serbia or Slovakia to join our team. The Manager, Learning & Development is responsible for supporting training strategy, identifying, developing, and delivering training solutions that support global Precision for Medicine functions. This role partners with subject matter experts to design effective learning programs across translational sciences (labs and logistics), clinical operations, project management, GCP, data management, and regulatory/compliance areas in support of functional and GCP requirements. The Manager serves as the primary intake point for training requests, coordinates new hire onboarding, and supports refinement of learning technologies and platforms. Clear communication and collaboration with stakeholders and L&D leadership are essential to success in this role. Main Duties & Responsibilities: Partner with functional SMEs to assess training needs, design and develop appropriate content, and deliver effective learning solutions. Lead coordination and delivery of new hire role specific onboarding for Precision for Medicine, including scheduling and tracking as applicable. Design and deliver instructor‑led, virtual, and e‑learning training programs aligned with adult learning principles. Serve as first‑line triage for training requests and provide guidance on existing tools, templates, and materials. Manage and support learning platforms and systems used by the L&D function. Maintain accurate training documentation, records, and reporting in accordance with regulatory expectations. Collaborate with functional leadership to establish and maintain role‑based curricula by function, including documented annual reviews of curricula and training hour requirements, with updates completed as regulations, organizational needs, or role expectations evolve. Education and Experience: Graduate, postgraduate, 4-year college degree, or equivalent experience in a scientific or healthcare discipline. A minimum of 4-6 years of clinical trial experience within pharmaceutical, biotechnology or CRO and/or healthcare setting, of which 4 years must include roles directly related to clinical trial execution supporting delivery teams with training and development. Proficiency with learning development platforms. Proficiency with Microsoft Office. Excellent verbal communication skills be able to communicate effectively in the English language. Strong writing and recordkeeping abilities. Ability to plan and manage multiple complex projects. Demonstrated ability to develop positive working relationships with individual and teams internally and externally. Core understanding of medical terminology and clinical trial activities in relation to execution of a clinical development plan. Strong knowledge of ICH/GCP relating to clinical trial management. Precision for Medicine is the first global precision medicine clinical research services organization, purpose-built to improve the clinical research and development process for new therapeutics. Our novel approach integrates clinical operations excellence, with laboratory expertise, and advanced data sciences to inform every step. We apply our expertise to trials at all stages—from early development through approval—with embedded experience in oncology and rare disease. #LI-NC1 #LI-Remote Any data provided as a part of this application will be stored in accordance with our Privacy Policy. For CA applicants, please also refer to our CA Privacy Notice. Precision Medicine Group is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, age, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status or other characteristics protected by law. If you are an individual with a disability and require a reasonable accommodation to complete any part of the application process or are limited in the ability or unable to access or use this online application process and need an alternative method for applying, you may contact Precision Medicine Group at QuestionForHR@precisionmedicinegrp.com. It has come to our attention that some individuals or organizations are reaching out to job seekers and posing as potential employers presenting enticing employment offers. We want to emphasize that these offers are not associated with our company and may be fraudulent in nature. Please note that our organization will not extend a job offer without prior communication with our recruiting team, hiring managers and a formal interview process.", "summaryDescription" : "Manager, Learning and Development at Precision for Medicine. Skills: Human Resources. Manage HR processes. Develop talent programs", "postedDate" : "2026-06-14T20:16:14.803", "createdAt" : "2026-06-14T20:16:14.803", "lastUpdated" : "2026-06-16T04:42:00.883", "ingestTimestamp" : "2026-06-14T20:16:14.803", "mongoId" : "6a2ca5a074d8ee00a09b7696", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "100k-150k", "hasSalary" : false, "allSkills" : [ "Human Resources", "Talent management", "Employee relations", "Organizational development" ], "skillCount" : 4, "jobCategory" : "operations", "jobSubcategory" : "hr", "seniorityLevel" : "Manager", "dataQualityScore" : 0.8888889, "daysOld" : 1, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "Biotech", "llmIndustryConfidence" : 0.95 }, { "id" : "6a2ca5e274d8ee00a09b87c8", "title" : "Manager, Learning and Development", "company" : "Precision Medicine Group", "industry" : "Healthcare", "salary" : { "min" : 157200.0, "max" : 235800.0, "currency" : "PLN", "frequency" : "yearly", "is_estimated" : false }, "location" : "Remote (Poland)", "locations" : [ "Remote (Poland)" ], "certifications" : [ "PHR", "SPHR" ], "timestamp" : "2026-06-16T02:29:42.552", "fingerprint" : "ced67ddfd00547e48d926955e6fe3cf1bf7c581ea3da1e4928e89c8aa33ef1ff", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/precisionmedicinegroup/jobs/6019956004", "externalId" : "6019956004", "industryFunction" : { }, "structuredLocations" : [ { "country" : "Poland", "continent" : "eu", "workMode" : "remote" } ], "locationText" : "Poland", "minimumEducation" : "Bachelor's", "experienceMinYears" : 4, "experienceMaxYears" : 6, "experienceLevel" : "Manager", "professionalSkills" : [ "Talent management", "Employee relations", "HR processes", "Organizational development" ], "hardSkillsList" : [ "HRIS systems", "Compensation analysis", "Benefits administration", "Performance management", "Recruitment", "Onboarding", "Employee engagement", "HR compliance" ], "hardSkills" : [ { "name" : "HRIS systems", "level" : "intermediate" }, { "name" : "Compensation analysis", "level" : "intermediate" }, { "name" : "Benefits administration", "level" : "intermediate" }, { "name" : "Performance management", "level" : "intermediate" }, { "name" : "Recruitment", "level" : "intermediate" }, { "name" : "Onboarding", "level" : "intermediate" }, { "name" : "Employee engagement", "level" : "intermediate" }, { "name" : "HR compliance", "level" : "intermediate" } ], "majorSkills" : "Talent Management, Employee Relations, HR Processes", "majorSkillsList" : [ "Talent Management", "Employee Relations", "HR Processes" ], "coreResponsibilities" : "Develop and implement HR strategies, Manage employee relations, Oversee HR processes, Support organizational development, Administer compensation and benefits, Manage recruitment and onboarding, Ensure HR compliance, Drive employee engagement initiatives", "teamCollaboration" : "Cross-functional teams; Leadership team", "projectManagementSkills" : [ "Project planning", "Execution" ], "domainKnowledge" : "Employment law; HR best practices", "domainList" : [ "employment-law", "hr-best-practices" ], "domainSpecificKnowledge" : [ "Employment law", "HR best practices" ], "toolProficiency" : [ "HRIS", "ATS" ], "communicationSkills" : "Interpersonal communication; Written communication", "documentationSkills" : "HR documentation", "continuousLearning" : "Professional development", "problemSolvingSkills" : "Problem resolution; Analytical skills", "outcomesObjectives" : "Enhance employee experience; Improve retention rates; Streamline HR operations", "qualificationsBasic" : "4-6 years HR experience, Bachelor's degree", "qualificationsPreferred" : "Master's degree preferred, PHR or SPHR certification preferred", "remoteFriendly" : true, "workSiteFlexibility" : "Flexible", "rawDescription" : "We are hiring a Manager, Learning and Development based in Hungary, Poland, Romania, Serbia or Slovakia to join our team. The Manager, Learning & Development is responsible for supporting training strategy, identifying, developing, and delivering training solutions that support global Precision for Medicine functions. This role partners with subject matter experts to design effective learning programs across translational sciences (labs and logistics), clinical operations, project management, GCP, data management, and regulatory/compliance areas in support of functional and GCP requirements. The Manager serves as the primary intake point for training requests, coordinates new hire onboarding, and supports refinement of learning technologies and platforms. Clear communication and collaboration with stakeholders and L&D leadership are essential to success in this role. Main Duties & Responsibilities: Partner with functional SMEs to assess training needs, design and develop appropriate content, and deliver effective learning solutions. Lead coordination and delivery of new hire role specific onboarding for Precision for Medicine, including scheduling and tracking as applicable. Design and deliver instructor‑led, virtual, and e‑learning training programs aligned with adult learning principles. Serve as first‑line triage for training requests and provide guidance on existing tools, templates, and materials. Manage and support learning platforms and systems used by the L&D function. Maintain accurate training documentation, records, and reporting in accordance with regulatory expectations. Collaborate with functional leadership to establish and maintain role‑based curricula by function, including documented annual reviews of curricula and training hour requirements, with updates completed as regulations, organizational needs, or role expectations evolve. Education and Experience: Graduate, postgraduate, 4-year college degree, or equivalent experience in a scientific or healthcare discipline. A minimum of 4-6 years of clinical trial experience within pharmaceutical, biotechnology or CRO and/or healthcare setting, of which 4 years must include roles directly related to clinical trial execution supporting delivery teams with training and development. Proficiency with learning development platforms. Proficiency with Microsoft Office. Excellent verbal communication skills be able to communicate effectively in the English language. Strong writing and recordkeeping abilities. Ability to plan and manage multiple complex projects. Demonstrated ability to develop positive working relationships with individual and teams internally and externally. Core understanding of medical terminology and clinical trial activities in relation to execution of a clinical development plan. Strong knowledge of ICH/GCP relating to clinical trial management. Precision for Medicine is the first global precision medicine clinical research services organization, purpose-built to improve the clinical research and development process for new therapeutics. Our novel approach integrates clinical operations excellence, with laboratory expertise, and advanced data sciences to inform every step. We apply our expertise to trials at all stages—from early development through approval—with embedded experience in oncology and rare disease. Precision is required by law in some states or cities to include a reasonable estimate of the compensation range for this role. This compensation range takes into account the wide range of factors that are considered in making compensation decisions including but not limited to: skill sets, experience and training, licensure and certifications, and other business and organizational needs. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. At Precision, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. This role is also eligible for a discretionary annual bonus, private medical insurance, MultiSport Card, life insurance, pension, home working allowance, vacation, among other benefits. Reasonable estimate of the current range for Poland: 157,200 PLN - 235,800 PLN gross per annum #LI-NC1 #LI-Remote Any data provided as a part of this application will be stored in accordance with our Privacy Policy. For CA applicants, please also refer to our CA Privacy Notice. Precision Medicine Group is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, age, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status or other characteristics protected by law. If you are an individual with a disability and require a reasonable accommodation to complete any part of the application process or are limited in the ability or unable to access or use this online application process and need an alternative method for applying, you may contact Precision Medicine Group at QuestionForHR@precisionmedicinegrp.com. It has come to our attention that some individuals or organizations are reaching out to job seekers and posing as potential employers presenting enticing employment offers. We want to emphasize that these offers are not associated with our company and may be fraudulent in nature. Please note that our organization will not extend a job offer without prior communication with our recruiting team, hiring managers and a formal interview process.", "summaryDescription" : "Manager, Learning and Development at Precision Medicine Group. Skills: Talent Management, Employee Relations, HR Processes. Develop and implement HR strategies. Manage employee relations", "postedDate" : "2026-06-14T20:09:54.327", "createdAt" : "2026-06-14T20:09:54.327", "lastUpdated" : "2026-06-16T02:29:42.552", "ingestTimestamp" : "2026-06-14T20:09:54.327", "mongoId" : "6a2ca5e274d8ee00a09b87c8", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "150k-200k", "hasSalary" : false, "allSkills" : [ "HRIS systems", "Compensation analysis", "Benefits administration", "Performance management", "Recruitment", "Onboarding", "Employee engagement", "HR compliance", "Talent Management", "Employee Relations", "HR Processes", "Talent management", "Employee relations", "HR processes", "Organizational development", "Project planning", "Execution", "Employment law", "HR best practices", "PHR", "SPHR", "HRIS", "ATS" ], "skillCount" : 23, "jobCategory" : "operations", "jobSubcategory" : "hr", "seniorityLevel" : "Manager", "dataQualityScore" : 0.8888889, "daysOld" : 1, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "Healthcare", "llmIndustryConfidence" : 0.95 }, { "id" : "69d140082beec4dd3ddbe4bf", "title" : "Learning Associate", "company" : "Souq.com for E-Commerce LLC", "industry" : "Leadership Development Training, Training, no business category", "salary" : { "min" : 245000.0, "max" : 400000.0, "currency" : "EGP", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for E-Commerce in Cairo, Egypt, adjusted for mid-seniority level and full-time employment." }, "location" : "Cairo, EGY", "locations" : [ "Cairo, EGY" ], "timestamp" : "2026-06-15T08:03:07.095", "fingerprint" : "481c38285283e30ced23f9cb8bbdaef4f6458d68cb78c13d692e380081a94750", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.com/jobs/10382978/apply", "externalId" : "6623cf51-9cc6-41bf-8d64-3f6cdc75d284", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Cairo", "country" : "Egypt", "continent" : "af", "source" : "llm", "workMode" : "onsite", "geo" : "30.0443879,31.2357257" } ], "locationText" : "Cairo, Egypt", "employmentType" : "FULL_TIME", "professionalSkills" : [ "Process management", "Cross-functional coordination", "Vendor management", "Stakeholder management", "Operational metrics", "Resource planning", "Continuous improvement" ], "hardSkillsList" : [ "Training delivery", "Performance coaching", "Data analysis" ], "hardSkills" : [ { "name" : "Training delivery", "level" : "intermediate" }, { "name" : "Performance coaching", "level" : "intermediate" }, { "name" : "Data analysis", "level" : "intermediate" } ], "majorSkills" : "Training coordination, Process improvement, Performance analysis", "majorSkillsList" : [ "Training coordination", "Process improvement", "Performance analysis" ], "coreResponsibilities" : "Coordinate training for process paths, Execute training for process paths, Evaluate learning processes, Refine learning techniques, Improve learning effectiveness, Improve production across departments, Assist in driving training plans, Support Fulfillment Center workforce needs, Supervise Instructors, Supervise Peer Trainers, Deliver Instructor training, Provide Instructor observation, Coach Instructors, Keep training records up to date, Ensure training materials are kept, Deliver training materials against standard, Provide positive learning experience, Use data to improve NH learning, Analyze data to improve NH learning, Provide feedback to Instructors, Provide feedback to Peer Trainers, Track NH group performance, Complete tests, Complete audits, Track test responses, Track audit responses, Organize Instructor assignments, Monitor cross training, Support peak skill requirements, Work on skill matrix, Highlight critical role training gaps, Support critical role training delivery, Improve processes from feedback, Improve processes from data analysis, Support Instructor recruitment, Support Peer Trainer recruitment, Attend meetings, Provide information at meetings, Partner with agency managers, Improve new hire performance", "teamCollaboration" : "Cross-functional teams; Operations teams; Agency managers", "domainKnowledge" : "Fulfillment Center operations; E-Commerce operations", "domainList" : [ "fulfillment-center-operations", "e-commerce-operations" ], "domainSpecificKnowledge" : [ "Fulfillment Center operations", "E-Commerce operations" ], "toolProficiency" : [ "Microsoft Office", "Excel", "Word", "PowerPoint", "Outlook" ], "communicationSkills" : "Written communication; Verbal communication; Presentation skills", "documentationSkills" : "Training records", "problemSolvingSkills" : "Data analysis; Process improvement", "qualificationsBasic" : "Written and verbal communication, Presentation skills, Microsoft Office (Excel, Word, PowerPoint, Outlook)", "qualificationsPreferred" : "Training Needs Analysis process, Assessing performance gaps, Analyzing learning needs, Designing customer-centric solutions, Evaluating learning program effectiveness", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "The Learning Associate is responsible for the coordination and execution of training for all process paths in the Fulfillment Center. Learning Associates evaluate and refine processes and techniques to improve learning effectiveness and production across all departments in the building. The Trainer assists in driving the success training plans and supporting the needs of the Fulfillment Center workforce. Key job responsibilities Key job responsibilities - Act as a supervisor for Instructors and Peer Trainers with new hires - Deliver Instructor training, observation and coaching - Ensure training records are kept up to date through the console - Ensure training materials are kept and delivered against the standard and provide a positive learning experience - Use and analyze data on a daily basis to improve New Hire (NH) learning experience - Feedback to Instructors and Peer Trainers on their delivery NH groups performance - All tests/ audits are completed and responses are tracked - Organize (Instructors assignment) and monitor cross training for the operations to support peak skill requirements - Work with operations on a skill matrix to highlight gaps for critical role training - Support operations with the delivery of critical role training - Improve processes from gathering feedback and analyzing data - Support the recruitment of Instructors and Peer Trainers - Attend meetings when required and provide information required - Work in partnership with the agency managers to improve new hire performance - Support projects with feedback and improvements Basic Qualifications: - Experience with written and verbal communication and presentation - Experience using Microsoft Office (Excel, Word, PowerPoint, Outlook) Preferred Qualifications: - Experience using using the Training Needs Analysis process, including assessing performance gaps, analyzing learning needs, designing and developing customer-centric solutions, and evaluating the effectiveness of learning programs Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.", "summaryDescription" : "Learning Associate at Souq.com for E-Commerce LLC. Skills: Training coordination, Process improvement, Performance analysis. Coordinate training for process paths. Execute training for process paths", "postedDate" : "2026-06-13T17:50:09.080", "createdAt" : "2026-06-13T17:50:09.080", "lastUpdated" : "2026-06-15T08:03:07.095", "ingestTimestamp" : "2026-06-13T17:50:09.080", "mongoId" : "69d140082beec4dd3ddbe4bf", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://account.amazon.com/jobs/10382978/apply", "salaryBand" : "200k+", "hasSalary" : false, "allSkills" : [ "Training delivery", "Performance coaching", "Data analysis", "Training coordination", "Process improvement", "Performance analysis", "Process management", "Cross-functional coordination", "Vendor management", "Stakeholder management", "Operational metrics", "Resource planning", "Continuous improvement", "Fulfillment Center operations", "E-Commerce operations", "Microsoft Office", "Excel", "Word", "PowerPoint", "Outlook" ], "skillCount" : 20, "jobCategory" : "operations", "jobSubcategory" : "general", "seniorityLevel" : "Mid", "dataQualityScore" : 0.8888889, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "E-Commerce", "llmIndustryConfidence" : 0.95 }, { "id" : "69dde45c2beec4dd3d9a3f9e", "title" : "Postdoctoral Fellow - Computational and Quantitative Medicine", "company" : "City of Hope", "industry" : "Healthcare", "salary" : { "min" : 60000.0, "max" : 85000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Postdoctoral Fellow in the Biotech industry in Monrovia, California, adjusted for entry-level seniority." }, "location" : "United States-California-Monrovia", "locations" : [ "United States-California-Monrovia", "Post-doctoral Research", "Onsite, Days, Days" ], "certifications" : [ "GCP Professional Data Engineer", "AWS Data Analytics", "Databricks Certified", "Dbt Certified" ], "timestamp" : "2026-06-16T08:17:43.745", "fingerprint" : "5e58bc0dc6aa312fdbc404e13e9157060ab95138ff31668d6bed755cf363f48b", "source" : "taleo", "language" : "en", "applyUrl" : "https://aa067.taleo.net/careersection/ex/jobdetail.ftl?job=210304", "externalId" : "210304", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Monrovia", "state" : "California", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "34.1483499,-118.0014517" } ], "locationText" : "Monrovia, California, United States", "minimumEducation" : "PhD", "technicalSkills" : "SQL, Python, R, Scala, Spark, Dbt, Snowflake, BigQuery, Redshift, Databricks, Fivetran, Airflow, Dbt Cloud, Delta Lake, Scikit-learn, TensorFlow, PyTorch, XGBoost, LightGBM, Hugging Face, MLflow, AWS, SageMaker, Athena, GCP, Vertex AI, Azure, Synapse, ML Studio", "professionalSkills" : [ "Quantitative analysis", "Data engineering", "Machine learning", "Business intelligence", "Analytics engineering", "Data science" ], "hardSkillsList" : [ "Statistical methods", "ML frameworks", "BI platforms", "Cloud data stacks", "Modelling skills" ], "hardSkills" : [ { "name" : "Statistical methods", "level" : "intermediate" }, { "name" : "ML frameworks", "level" : "intermediate" }, { "name" : "BI platforms", "level" : "intermediate" }, { "name" : "Cloud data stacks", "level" : "intermediate" }, { "name" : "Modelling skills", "level" : "intermediate" } ], "majorSkills" : "Data science, Data engineering, Machine learning, Business intelligence", "majorSkillsList" : [ "Data science", "Data engineering", "Machine learning", "Business intelligence" ], "toolProficiency" : [ "Tableau", "Power BI", "Looker", "Metabase", "Superset", "Qlik", "MicroStrategy" ], "qualificationsBasic" : "PhD required, 5+ years experience, SQL proficiency required", "qualificationsPreferred" : "PhD preferred, Specific ML framework experience, Cloud platform certifications", "remoteFriendly" : false, "rawDescription" : "Join the forefront of groundbreaking research at the Beckman Research Institute of City of Hope, where we're changing lives and making a real difference in the fight against cancer, diabetes, and other life-threatening illnesses. Our dedicated and compassionate faculty and staff are driven by a common mission: Contribute to innovative approaches in predicting, preventing, and curing diseases, shaping the future of medicine through cutting-edge research. A Postdoctoral Research Fellow position is open under Dr. Nagarajan Vaidehi within the department of Computational and Quantitative Medicine. This project involves the development and application of interpretable machine learning methods to uncover allosteric regulation of disordered regions in the dynamics of G-protein coupled receptors to enable design of allosteric modulators. You will work on developing design principles of targeted protein degradation in collaboration with Pharma. For more information on Dr. Vaidehi’s lab please visit here . Your qualifications should include: · PhD or M.D. in Chemistry, Physics or Biochemistry with experience in protein dynamics studies. · Knowledgeable about concepts in statistical thermodynamics, in python scripting and C++ programming. · Familiarity with Molecular Dynamics methods and experience in code development is preferred. City of Hope employees pay is based on the following criteria: work experience, qualifications, and work location. City of Hope is an equal opportunity employer. To learn more about our Comprehensive Benefits, please CLICK HERE . United States-California-Monrovia", "summaryDescription" : "Postdoctoral Fellow - Computational and Quantitative Medicine at City of Hope. Skills: Data science, Data engineering, Machine learning, Business intelligence", "createdAt" : "2026-06-14T19:54:56.791", "lastUpdated" : "2026-06-16T08:17:43.745", "ingestTimestamp" : "2026-06-14T19:54:56.791", "mongoId" : "69dde45c2beec4dd3d9a3f9e", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 60000, "salaryAnnualMax" : 85000, "salaryBand" : "50k-75k", "hasSalary" : true, "allSkills" : [ "Statistical methods", "ML frameworks", "BI platforms", "Cloud data stacks", "Modelling skills", "Data science", "Data engineering", "Machine learning", "Business intelligence", "Quantitative analysis", "Analytics engineering", "GCP Professional Data Engineer", "AWS Data Analytics", "Databricks Certified", "Dbt Certified", "Tableau", "Power BI", "Looker", "Metabase", "Superset", "Qlik", "MicroStrategy" ], "skillCount" : 22, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Entry", "dataQualityScore" : 0.6666667, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Biotech", "llmIndustryConfidence" : 0.95 }, { "id" : "69d769692beec4dd3dc8ebbc", "title" : "Human Dynamics Trainer", "company" : "Texas Workforce Commission", "industry" : "Government", "salary" : { "min" : 65000.0, "max" : 95000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Mid-level Human Dynamics Trainer in Austin, TX, adjusted for government industry and full-time employment." }, "location" : "826869", "locations" : [ "826869", "
Austin:101 E 15th St (320-4001) (320TX-4001)
101 E 15th St
Austin, 78778-0001

" ], "timestamp" : "2026-06-16T02:18:43.888", "fingerprint" : "672e2f5c903a0a882b43d4d034e3602dc90286198a9687476f4b6f3618a99180", "source" : "taleo", "language" : "en", "applyUrl" : "https://aa270.taleo.net/careersection/ex/jobdetail.ftl?job=34474", "externalId" : "34474", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Austin", "state" : "Texas", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "30.2711286,-97.7436995" } ], "locationText" : "Austin, Texas, United States", "employmentType" : "FULL_TIME", "experienceMinYears" : 2, "experienceMaxYears" : 5, "experienceLevel" : "Mid", "professionalSkills" : [ "Training delivery", "Curriculum development", "Project management" ], "hardSkillsList" : [ "Adult learning principles" ], "hardSkills" : [ { "name" : "Adult learning principles", "level" : "intermediate" } ], "majorSkills" : "Training delivery, Curriculum development, Adult training", "majorSkillsList" : [ "Training delivery", "Curriculum development", "Adult training" ], "coreResponsibilities" : "Follow management directives, Seek leadership from managers, Communicate progress to managers, Coordinate classes, Prepare classes, Present classes, Coordinate train-the-trainer workshops, Prepare train-the-trainer workshops, Present train-the-trainer workshops, Coordinate project meetings, Prepare project meetings, Present project meetings, Coordinate demonstrations, Prepare demonstrations, Present demonstrations, Coordinate conferences, Prepare conferences, Present conferences, Assist in coordination of curricula, Assist in research of curricula, Assist in design of curricula, Assist in development of curricula, Manage multiple projects, Prepare documents, Prepare correspondence, Prepare proposals, Prepare briefings, Prepare reports, Prepare training materials, Prepare project timelines, Build communication relationships, Build working relationships, Work on special projects, Perform other duties", "teamCollaboration" : "Collaboration with administrators; Collaboration with program specialists; Working relationships with staff; Working relationships with community; Working relationships with co-workers", "projectManagementSkills" : [ "Project management methodology", "Project management tools" ], "domainKnowledge" : "Human Dynamics; Management skills; Soft skills", "domainList" : [ "human-dynamics", "management-skills", "soft-skills" ], "domainSpecificKnowledge" : [ "Human Dynamics", "Management skills", "Soft skills" ], "communicationSkills" : "Group presentations", "documentationSkills" : "Prepare documents; Prepare correspondence; Prepare proposals; Prepare briefings; Prepare reports; Prepare training materials; Prepare project timelines", "continuousLearning" : "Training and development opportunities", "specialRequirements" : "Up to 25% travel", "outcomesObjectives" : "Enhance employee skills; Enhance employee productivity", "qualificationsBasic" : "Two years of experience in training methods, Two years of experience in agency operations, Two years of experience giving group presentations", "qualificationsPreferred" : "Experience delivering in-person training, Experience delivering virtual training, Experience training adults, Experience developing curricula, Experience as a supervisor, Experience as a manager", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "WHO WE ARE: The Texas Workforce Commission (TWC) connects people with careers across the state. While we are based in Austin on the north lawn of the Texas State Capitol, we have offices statewide. We're a Family Friendly Certified Workplace with great work-life balance, competitive salaries, extensive opportunities for training and development, and fantastic benefits. This position is located at 101 E. 15th St, Austin, Texas in the Training and Development department. TWC is not considering applications from individuals who require sponsorship for an employment visa, including those with H1B visas or those currently on student or postgraduate visas. You must be a Texas resident to work for the Texas Workforce Commission or willing to relocate to Texas. WHO YOU ARE: A creative, professional trainer with experience delivering training to an adult audience. You would be excited to join the Human Dynamics training team, which specializes in delivering management and soft-skills courses. You would be happy to support our department mission: “To help TWC and our partners enhance employee workplace skills and productivity through the delivery, development, and coordination of quality learning opportunities,” and you would be proud to work for a great state agency with a noble public service mission. WHAT YOU WILL DO: The Human Dynamics Trainer (Training & Development Specialist III) complex (journey-level) training work. Works under general supervision, with moderate latitude for the use of initiative and independent judgment. YOU WILL BE TRUSTED TO: -Follow management directives meticulously, actively seeking leadership and guidance from managers in training delivery and project execution, and proactively communicate progress to ensure accountability. -Coordinate, prepare, and present classes, train-the-trainer workshops, project meetings, demonstrations, and conferences in most effective manner for employees, service providers, and board staff. -Assist in the coordination, research, design, and development of formal complex curricula that require extensive collaboration with high-level administrators and program specialists using approved guidelines and processes. -Manage multiple projects using project-management methodology and tools. -Accurately and grammatically prepare documents, including correspondence, proposals, briefings, reports, training materials, and project timelines. -Build and maintain communication and working relationships with administrative and program staff, community, and co-workers to accomplish the T&D goals and objectives. -Work on special projects as assigned to meet department goals and objectives. -Perform other duties as assigned. YOU QUALIFY WITH: - Two years of experience in positions that provided knowledge of training methods, techniques, and materials as related to individual development, education, and training programs; or in positions that provided knowledge of agency operation or programs which included giving group presentations. -Relevant academic credits may be applied toward experience qualifications for this position. YOU ARE A GREAT FIT WITH: -Experience in delivering in-person classroom training and virtual training. -Experience in training or teaching adults. -Experience in developing curricula. -Experience as a supervisor or manager. YOU GAIN: -A Family Friendly Certified Workplace. -Competitive salary: $4,664.23/month -Defined Retirement Benefit Plan -Optional 401(k) and 457 accounts -Medical Insurance -Paid time off, including time for vacation, sick and family care leave -Additional benefits for active employees can be found at https://www.ers.texas.gov/Active-Employees/Health-Benefits. Duty involves up to 25% travel within the state of Texas. VETERANS: Use your military skills to qualify for this position or other jobs! Go to www.texasskillstowork.com to translate your military work experience and training courses into civilian job terms, qualifications, and skill sets. Also, you can compare this position to military occupations (MOS) at the Texas State Auditor's Office by pasting this link into your browser: https://hr.sao.texas.gov/Compensation/MilitaryCrosswalk/MOSC_HumanResourcesandTrainingandDevelopment.pdf. HOW TO APPLY: To be considered, please complete a State of Texas Application for Employment and apply online at www.workintexas.com or on Taleo ( Job Search ). TWC is not considering applications from individuals who require sponsorship for an employment visa, including those with H1B visas or those currently on student or postgraduate visas In compliance with federal law, all persons hired will be required to verify identity and eligibility to work in the United States and to complete the required employment eligibility verification document form upon hire. A position utilizing this classification will be designated as security sensitive according to the Texas Labor Code, Section 301.042. United States-Texas-Austin", "summaryDescription" : "Human Dynamics Trainer at Texas Workforce Commission. Skills: Training delivery, Curriculum development, Adult training. Follow management directives. Seek leadership from managers", "createdAt" : "2026-06-14T20:42:37.891", "lastUpdated" : "2026-06-16T02:18:43.888", "ingestTimestamp" : "2026-06-14T20:42:37.891", "mongoId" : "69d769692beec4dd3dc8ebbc", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 65000, "salaryAnnualMax" : 95000, "salaryBand" : "50k-75k", "hasSalary" : true, "allSkills" : [ "Adult learning principles", "Training delivery", "Curriculum development", "Adult training", "Project management", "Project management methodology", "Project management tools", "Human Dynamics", "Management skills", "Soft skills" ], "skillCount" : 10, "jobCategory" : "operations", "jobSubcategory" : "hr", "seniorityLevel" : "Mid", "dataQualityScore" : 0.8888889, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Government", "llmIndustryConfidence" : 0.95 }, { "id" : "6a305dbff292fd229cf69eb4", "title" : "Senior Research Scientist (Machine Learning, NLP, Generative AI)", "company" : "NielsenIQ", "industry" : "Market Research", "salary" : { "min" : 65000.0, "max" : 95000.0, "currency" : "EUR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Senior Research Scientist in Barcelona, Spain, adjusted for the technology industry and company size." }, "location" : "Barcelona, M, Spain", "locations" : [ "Barcelona", "M", "Spain" ], "certifications" : [ "GCP Professional Data Engineer", "AWS Data Analytics", "Databricks Certified", "Dbt Certified" ], "timestamp" : "2026-06-16T11:22:05.574", "fingerprint" : "0323e9edbb83f87dd852d25788698a1e49fc8b4ff312f54e6c3e031cf42d8b4a", "source" : "smartrecruiters", "language" : "en", "applyUrl" : "https://jobs.smartrecruiters.com/NielsenIQ/744000132263300-senior-research-scientist-machine-learning-nlp-generative-ai-", "externalId" : "744000132263300", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Barcelona", "state" : "Catalonia", "country" : "Spain", "continent" : "eu", "source" : "llm", "workMode" : "onsite", "geo" : "41.3825802,2.1770730" } ], "locationText" : "Barcelona, Catalonia, Spain", "employmentType" : "FULL_TIME", "minimumEducation" : "Master's", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "mid", "technicalSkills" : "Python, R, SQL, Machine Learning, NLP, Generative AI, Scikit-learn, TensorFlow, PyTorch, XGBoost, LightGBM, Hugging Face, MLflow, Snowflake, BigQuery, Redshift, Databricks, Dbt, Fivetran, Airflow, AWS, GCP, Azure, SageMaker, Vertex AI, Synapse, ML Studio", "professionalSkills" : [ "Quantitative analysis", "Statistical modeling", "Data engineering", "Business intelligence", "Analytics engineering" ], "hardSkillsList" : [ "Regression analysis", "Classification modeling", "Clustering algorithms", "Time-series forecasting", "A/B testing", "Causal inference" ], "hardSkills" : [ { "name" : "Regression analysis", "level" : "intermediate" }, { "name" : "Classification modeling", "level" : "intermediate" }, { "name" : "Clustering algorithms", "level" : "intermediate" }, { "name" : "Time-series forecasting", "level" : "intermediate" }, { "name" : "A/B testing", "level" : "intermediate" }, { "name" : "Causal inference", "level" : "intermediate" } ], "majorSkills" : "Machine Learning, NLP, Generative AI, Data Science", "majorSkillsList" : [ "Machine Learning", "NLP", "Generative AI", "Data Science" ], "coreResponsibilities" : "Design and implement machine learning models, Develop and deploy NLP solutions, Research and apply generative AI techniques, Build and maintain data pipelines, Collaborate with cross-functional teams, Analyze complex datasets, Communicate findings to stakeholders, Stay updated on the latest AI/ML advancements", "teamCollaboration" : "Cross-functional teams", "domainKnowledge" : "Retail analytics", "domainList" : [ "retail-analytics" ], "domainSpecificKnowledge" : [ "Retail analytics" ], "toolProficiency" : [ "SQL", "Python", "R", "Tableau", "Power BI", "Snowflake", "BigQuery", "Redshift", "Databricks", "Dbt", "Fivetran", "Airflow", "MLflow", "Hugging Face" ], "communicationSkills" : "Present findings", "documentationSkills" : "Technical documentation", "continuousLearning" : "Stay updated on advancements", "innovationCreativity" : "Research new techniques", "problemSolvingSkills" : "Analyze complex datasets", "qualificationsBasic" : "Master's degree in Statistics, Computer Science, Mathematics, or related quantitative field, 5+ years of experience in data science or machine learning, Proficiency in SQL, Experience with Python or R", "qualificationsPreferred" : "PhD preferred, Experience with Generative AI models, Experience with NLP techniques, Experience with cloud platforms (AWS, GCP, Azure), Experience with MLflow, Experience with Databricks, Experience with dbt", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "We are a team of passionate, curious and diverse professionals who care about each other, our work, our company and the world. We are looking for someone who combines skill in machine learning with an ability to connect with people and see the wider context for a range of business problems. You will be responsible for assessing state-of-the-art techniques, researching novel ideas to improve them and applying them to large scale problems, mainly in the domain of recommender systems and NLP (from semantic search to deep agentic deep research). To solve problems effectively, you will need to be able to build relationships and understand the business context in which we are operating. This position will suit someone who has a deep understanding of machine learning and is comfortable presenting clearly and winsomely to a non-technical audience. NielsenIQ helps companies to meet the needs of people all over the world for food, health, hygiene, tech and durable products. Since 1923, NIQ has moved measurement forward for industries and economies across the globe. This position opens the opportunity to research and apply state-of-the-art AI/ML techniques to strategic global projects. * Research, evaluate, and adapt state-of-the-art techniques to solve large-scale AI problems. * Lead the development and application of machine learning innovations to complex business challenges with minimal supervision. * Drive innovation in Information Retrieval, Product Matching, Recommendation Systems, NLP, and Generative AI. * Assess the applicability of emerging research and identify opportunities for adoption across multiple business initiatives. * Design and conduct advanced experiments and feasibility studies to guide technical strategy. * Develop scalable, reproducible, and maintainable machine learning solutions and research frameworks. * Collaborate with Applied AI and Engineering teams to enable adoption of research outcomes. * Mentor and support other scientists and contribute to the technical growth of the team. * Lead or contribute to scientific publications, patents, and conference submissions. * Communicate technical vision, research findings, and strategic recommendations to stakeholders across technical and business functions. * Promote engineering excellence, scientific rigor, and best practices across research initiatives. ## Qualifications * Master's, or PhD in Computer Science, Artificial Intelligence, Machine Learning, Mathematics, Physics, or a related quantitative discipline. * 7+ years of experience in Machine Learning, Deep Learning, or AI research. * Demonstrated expertise in training transformer-based models for Information Retrieval, Recommendation Systems, Product Matching, NLP, or related domains. * Experience training custom SLMs and /or small reasoning models. * Advanced experience with Python, PyTorch, Hugging Face, Pandas, Scikit-learn, and Git. * Strong experience with Transformer architectures, embeddings, and representation learning. * Experience with vector databases (e.g., FAISS, ChromaDB, Pinecone) and retrieval-based systems. * Ability to understand, evaluate, and extend ideas from scientific literature. * Strong analytical, problem-solving, stakeholder management, and communication skills. * Proven ability to independently drive research initiatives from concept through adoption. Good to Have * PhD in a relevant field. * Publications in leading conferences (e.g., ACL, EMNLP, SIGIR, KDD, NeurIPS, ICML, ICLR, RecSys). * Experience mentoring researchers or leading technical initiatives. * Experience with RAG architectures, LLMs, and agent-based frameworks. * Experience with Knowledge Graphs. * Experience in retail, consumer intelligence, ecommerce, or FMCG domains. * Experience with Databricks, SQL, Elasticsearch. ## Additional Information Salary: 55300– €65000 gross per year. This role might also be eligible for a performance-based bonus. Placement within the range will depend on objective criteria including experience, skills, and internal equity considerations. We are committed to equal pay and pay transparency. Remuneration decisions are made using gender-neutral and objective criteria. Employees enjoy a Home Office working model (Spain-based), with occasional team meetings at the Madrid office. Our Benefits * Flexible working environment * Volunteer time off * LinkedIn Learning * Employee-Assistance-Program (EAP) NIQ may utilize artificial intelligence (AI) tools at various stages of the recruitment process, including résumé screening, candidate assessments, interview scheduling, job matching, communication support, and certain administrative tasks that help streamline workflows. These tools are intended to improve efficiency and support fair and consistent evaluation based on job-related criteria. All use of AI is governed by NIQ’s principles of fairness, transparency, human oversight, and inclusion. Final hiring decisions are made exclusively by humans. NIQ regularly reviews its AI tools to help mitigate bias and ensure compliance with applicable laws and regulations. If you have questions, require accommodations, or wish to request human review were permitted by law, please contact your local HR representative. For more information, please visit NIQ’s AI Safety Policies and Guiding Principles: https://www.nielseniq.com/global/en/ai-safety-policies. About NIQ NIQ is the world’s leading consumer intelligence company, delivering the most complete understanding of consumer buying behavior and revealing new pathways to growth. In 2023, NIQ combined with GfK, bringing together the two industry leaders with unparalleled global reach. With a holistic retail read and the most comprehensive consumer insights—delivered with advanced analytics through state-of-the-art platforms—NIQ delivers the Full View™. NIQ is an Advent International portfolio company with operations in 100+ markets, covering more than 90% of the world’s population. For more information, visit NIQ.com Want to keep up with our latest updates? Follow us on: [LinkedIn](https://www.linkedin.com/company/nielseniq/mycompany/) | [Instagram](https://www.instagram.com/nielseniq/) | [Twitter](https://twitter.com/nielseniq) | [Facebook](https://www.facebook.com/NielsenIQ.global/) Our commitment to Diversity, Equity, and Inclusion At NIQ, we are steadfast in our commitment to fostering an inclusive workplace that mirrors the rich diversity of the communities and markets we serve. We believe that embracing a wide range of perspectives drives innovation and excellence. All employment decisions at NIQ are made without regard to race, color, religion, sex (including pregnancy, sexual orientation, or gender identity), national origin, age, disability, genetic information, marital status, veteran status, or any other characteristic protected by applicable laws. We invite individuals who share our dedication to inclusivity and equity to join us in making a meaningful impact. To learn more about our ongoing efforts in diversity and inclusion, please visit the [https://nielseniq.com/global/en/news-center/diversity-inclusion](https://nam02.safelinks.protection.outlook.com/?url=https%3A%2F%2Fnielseniq.com%2Fglobal%2Fen%2Fnews-center%2Fdiversity-inclusion&data=05%7C02%7CJenny.Rebecca%40nielseniq.com%7C6e534cbe3eb041842d5f08dc6dca121e%7C6ac7a1f45fb14153bb4f12d2020a1f7d%7C0%7C0%7C638505961881417602%7CUnknown%7CTWFpbGZsb3d8eyJWIjoiMC4wLjAwMDAiLCJQIjoiV2luMzIiLCJBTiI6Ik1haWwiLCJXVCI6Mn0%3D%7C0%7C%7C%7C&sdata=B%2Fp40oNUpJOw1CNoc87EFXk%2BvxeO1jxYOSRCEKM%2Fz5Q%3D&reserved=0)", "summaryDescription" : "Senior Research Scientist (Machine Learning, NLP, Generative AI) at NielsenIQ. Skills: Machine Learning, NLP, Generative AI, Data Science. Design and implement machine learning models. Develop and deploy NLP solutions", "postedDate" : "2026-06-15T18:27:49.000", "createdAt" : "2026-06-16T00:07:14.526", "lastUpdated" : "2026-06-16T11:22:05.574", "ingestTimestamp" : "2026-06-16T00:07:14.526", "mongoId" : "6a305dbff292fd229cf69eb4", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "50k-75k", "hasSalary" : false, "allSkills" : [ "Regression analysis", "Classification modeling", "Clustering algorithms", "Time-series forecasting", "A/B testing", "Causal inference", "Machine Learning", "NLP", "Generative AI", "Data Science", "Quantitative analysis", "Statistical modeling", "Data engineering", "Business intelligence", "Analytics engineering", "Retail analytics", "GCP Professional Data Engineer", "AWS Data Analytics", "Databricks Certified", "Dbt Certified", "SQL", "Python", "R", "Tableau", "Power BI", "Snowflake", "BigQuery", "Redshift", "Databricks", "Dbt", "Fivetran", "Airflow", "MLflow", "Hugging Face" ], "skillCount" : 34, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Senior", "dataQualityScore" : 1.0, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.98 }, { "id" : "6a3068adf292fd229cfc507c", "title" : "Senior Research Scientist (Machine Learning, NLP, Generative AI)", "company" : "NielsenIQ", "industry" : "Market Research", "salary" : { "min" : 65000.0, "max" : 95000.0, "currency" : "EUR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for Senior Research Scientist in Barcelona, Spain, adjusted for the technology industry and company size." }, "location" : "Barcelona, M, Spain", "locations" : [ "Barcelona", "M", "Spain" ], "timestamp" : "2026-06-16T08:16:47.675", "fingerprint" : "907a4f2e3b62baa81cd3a3bee06254d53919b220c0ad30a83229329b4d7e4aa1", "source" : "smartrecruiters", "language" : "en", "applyUrl" : "https://jobs.smartrecruiters.com/NielsenIQ/744000132263300-senior-research-scientist-machine-learning-nlp-generative-ai-", "externalId" : "744000132263300", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Barcelona", "state" : "Catalonia", "country" : "Spain", "continent" : "eu", "source" : "llm", "workMode" : "onsite", "geo" : "41.3825802,2.1770730" } ], "locationText" : "Barcelona, Catalonia, Spain", "employmentType" : "FULL_TIME", "minimumEducation" : "Master's", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "mid", "technicalSkills" : "Python, Machine Learning, NLP, Generative AI", "majorSkills" : "Machine Learning, NLP, Generative AI", "majorSkillsList" : [ "Machine Learning", "NLP", "Generative AI" ], "coreResponsibilities" : "Develop and implement advanced ML models, Conduct research and experimentation, Collaborate with engineering teams, Stay current with AI advancements", "teamCollaboration" : "Cross-functional teams", "qualificationsBasic" : "Master's degree, 5+ years experience", "qualificationsPreferred" : "PhD preferred, Experience with large language models, Experience with cloud platforms", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "We are a team of passionate, curious and diverse professionals who care about each other, our work, our company and the world. We are looking for someone who combines skill in machine learning with an ability to connect with people and see the wider context for a range of business problems. You will be responsible for assessing state-of-the-art techniques, researching novel ideas to improve them and applying them to large scale problems, mainly in the domain of recommender systems and NLP (from semantic search to deep agentic deep research). To solve problems effectively, you will need to be able to build relationships and understand the business context in which we are operating. This position will suit someone who has a deep understanding of machine learning and is comfortable presenting clearly and winsomely to a non-technical audience. NielsenIQ helps companies to meet the needs of people all over the world for food, health, hygiene, tech and durable products. Since 1923, NIQ has moved measurement forward for industries and economies across the globe. This position opens the opportunity to research and apply state-of-the-art AI/ML techniques to strategic global projects. * Research, evaluate, and adapt state-of-the-art techniques to solve large-scale AI problems. * Lead the development and application of machine learning innovations to complex business challenges with minimal supervision. * Drive innovation in Information Retrieval, Product Matching, Recommendation Systems, NLP, and Generative AI. * Assess the applicability of emerging research and identify opportunities for adoption across multiple business initiatives. * Design and conduct advanced experiments and feasibility studies to guide technical strategy. * Develop scalable, reproducible, and maintainable machine learning solutions and research frameworks. * Collaborate with Applied AI and Engineering teams to enable adoption of research outcomes. * Mentor and support other scientists and contribute to the technical growth of the team. * Lead or contribute to scientific publications, patents, and conference submissions. * Communicate technical vision, research findings, and strategic recommendations to stakeholders across technical and business functions. * Promote engineering excellence, scientific rigor, and best practices across research initiatives. ## Qualifications * Master's, or PhD in Computer Science, Artificial Intelligence, Machine Learning, Mathematics, Physics, or a related quantitative discipline. * 7+ years of experience in Machine Learning, Deep Learning, or AI research. * Demonstrated expertise in training transformer-based models for Information Retrieval, Recommendation Systems, Product Matching, NLP, or related domains. * Experience training custom SLMs and /or small reasoning models. * Advanced experience with Python, PyTorch, Hugging Face, Pandas, Scikit-learn, and Git. * Strong experience with Transformer architectures, embeddings, and representation learning. * Experience with vector databases (e.g., FAISS, ChromaDB, Pinecone) and retrieval-based systems. * Ability to understand, evaluate, and extend ideas from scientific literature. * Strong analytical, problem-solving, stakeholder management, and communication skills. * Proven ability to independently drive research initiatives from concept through adoption. Good to Have * PhD in a relevant field. * Publications in leading conferences (e.g., ACL, EMNLP, SIGIR, KDD, NeurIPS, ICML, ICLR, RecSys). * Experience mentoring researchers or leading technical initiatives. * Experience with RAG architectures, LLMs, and agent-based frameworks. * Experience with Knowledge Graphs. * Experience in retail, consumer intelligence, ecommerce, or FMCG domains. * Experience with Databricks, SQL, Elasticsearch. ## Additional Information Salary: 55300– €65000 gross per year. This role might also be eligible for a performance-based bonus. Placement within the range will depend on objective criteria including experience, skills, and internal equity considerations. We are committed to equal pay and pay transparency. Remuneration decisions are made using gender-neutral and objective criteria. Employees enjoy a Home Office working model (Spain-based), with occasional team meetings at the Madrid office. Our Benefits * Flexible working environment * Volunteer time off * LinkedIn Learning * Employee-Assistance-Program (EAP) NIQ may utilize artificial intelligence (AI) tools at various stages of the recruitment process, including résumé screening, candidate assessments, interview scheduling, job matching, communication support, and certain administrative tasks that help streamline workflows. These tools are intended to improve efficiency and support fair and consistent evaluation based on job-related criteria. All use of AI is governed by NIQ’s principles of fairness, transparency, human oversight, and inclusion. Final hiring decisions are made exclusively by humans. NIQ regularly reviews its AI tools to help mitigate bias and ensure compliance with applicable laws and regulations. If you have questions, require accommodations, or wish to request human review were permitted by law, please contact your local HR representative. For more information, please visit NIQ’s AI Safety Policies and Guiding Principles: https://www.nielseniq.com/global/en/ai-safety-policies. About NIQ NIQ is the world’s leading consumer intelligence company, delivering the most complete understanding of consumer buying behavior and revealing new pathways to growth. In 2023, NIQ combined with GfK, bringing together the two industry leaders with unparalleled global reach. With a holistic retail read and the most comprehensive consumer insights—delivered with advanced analytics through state-of-the-art platforms—NIQ delivers the Full View™. NIQ is an Advent International portfolio company with operations in 100+ markets, covering more than 90% of the world’s population. For more information, visit NIQ.com Want to keep up with our latest updates? Follow us on: [LinkedIn](https://www.linkedin.com/company/nielseniq/mycompany/) | [Instagram](https://www.instagram.com/nielseniq/) | [Twitter](https://twitter.com/nielseniq) | [Facebook](https://www.facebook.com/NielsenIQ.global/) Our commitment to Diversity, Equity, and Inclusion At NIQ, we are steadfast in our commitment to fostering an inclusive workplace that mirrors the rich diversity of the communities and markets we serve. We believe that embracing a wide range of perspectives drives innovation and excellence. All employment decisions at NIQ are made without regard to race, color, religion, sex (including pregnancy, sexual orientation, or gender identity), national origin, age, disability, genetic information, marital status, veteran status, or any other characteristic protected by applicable laws. We invite individuals who share our dedication to inclusivity and equity to join us in making a meaningful impact. To learn more about our ongoing efforts in diversity and inclusion, please visit the [https://nielseniq.com/global/en/news-center/diversity-inclusion](https://nam02.safelinks.protection.outlook.com/?url=https%3A%2F%2Fnielseniq.com%2Fglobal%2Fen%2Fnews-center%2Fdiversity-inclusion&data=05%7C02%7CJenny.Rebecca%40nielseniq.com%7C6e534cbe3eb041842d5f08dc6dca121e%7C6ac7a1f45fb14153bb4f12d2020a1f7d%7C0%7C0%7C638505961881417602%7CUnknown%7CTWFpbGZsb3d8eyJWIjoiMC4wLjAwMDAiLCJQIjoiV2luMzIiLCJBTiI6Ik1haWwiLCJXVCI6Mn0%3D%7C0%7C%7C%7C&sdata=B%2Fp40oNUpJOw1CNoc87EFXk%2BvxeO1jxYOSRCEKM%2Fz5Q%3D&reserved=0)", "summaryDescription" : "Senior Research Scientist (Machine Learning, NLP, Generative AI) at NielsenIQ. Skills: Machine Learning, NLP, Generative AI. Develop and implement advanced ML models. Conduct research and experimentation", "postedDate" : "2026-06-15T18:27:49.000", "createdAt" : "2026-06-16T00:06:51.603", "lastUpdated" : "2026-06-16T08:16:47.675", "ingestTimestamp" : "2026-06-16T00:06:51.603", "mongoId" : "6a3068adf292fd229cfc507c", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "50k-75k", "hasSalary" : false, "allSkills" : [ "Machine Learning", "NLP", "Generative AI" ], "skillCount" : 3, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Senior", "dataQualityScore" : 1.0, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.98 }, { "id" : "6a3068adf292fd229cfc507d", "title" : "Senior Research Scientist (Machine Learning, NLP, Generative AI)", "company" : "NielsenIQ", "industry" : "Market Research", "salary" : { "min" : 55000.0, "max" : 80000.0, "currency" : "EUR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for Senior Research Scientist in Spain, adjusted for industry and seniority." }, "location" : "Valladolid, M, Spain", "locations" : [ "Valladolid", "M", "Spain" ], "certifications" : [ "GCP Professional Data Engineer", "AWS Data Analytics", "Databricks Certified", "Dbt Certified" ], "timestamp" : "2026-06-16T09:23:30.720", "fingerprint" : "a18306a2cf068c262311ea4da94d96ce33dea29aa6487f3a9f72933f696801aa", "source" : "smartrecruiters", "language" : "en", "applyUrl" : "https://jobs.smartrecruiters.com/NielsenIQ/744000132263469-senior-research-scientist-machine-learning-nlp-generative-ai-", "externalId" : "744000132263469", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Valladolid", "state" : "Valladolid", "country" : "Spain", "continent" : "eu", "source" : "llm", "workMode" : "onsite", "geo" : "41.6200024,-4.7259906" } ], "locationText" : "Valladolid, Valladolid, Spain", "employmentType" : "FULL_TIME", "minimumEducation" : "Master's", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "mid", "technicalSkills" : "SQL, Python, R, Spark, Scala, Dbt, Tableau, Power BI, Looker, Snowflake, BigQuery, Redshift, Databricks, Fivetran, Airflow, Dbt Cloud, Delta Lake, Scikit-learn, TensorFlow, PyTorch, XGBoost, LightGBM, Hugging Face, MLflow, AWS, GCP, Azure, SageMaker, Vertex AI, Synapse, ML Studio", "professionalSkills" : [ "Data modeling", "Statistical analysis", "Machine learning", "Data engineering", "Business intelligence", "Analytics engineering", "Quantitative analysis" ], "hardSkillsList" : [ "Regression analysis", "Classification modeling", "Clustering algorithms", "Time-series forecasting", "A/B testing", "Causal inference" ], "hardSkills" : [ { "name" : "Regression analysis", "level" : "intermediate" }, { "name" : "Classification modeling", "level" : "intermediate" }, { "name" : "Clustering algorithms", "level" : "intermediate" }, { "name" : "Time-series forecasting", "level" : "intermediate" }, { "name" : "A/B testing", "level" : "intermediate" }, { "name" : "Causal inference", "level" : "intermediate" } ], "majorSkills" : "Machine Learning, NLP, Generative AI, Data Science", "majorSkillsList" : [ "Machine Learning", "NLP", "Generative AI", "Data Science" ], "coreResponsibilities" : "Develop and implement machine learning models, Design and build data pipelines, Analyze large datasets, Develop and maintain BI dashboards, Collaborate with cross-functional teams, Stay up-to-date with the latest AI/ML research, Communicate findings to stakeholders", "teamCollaboration" : "Cross-functional teams", "domainKnowledge" : "Generative AI; Natural Language Processing", "domainList" : [ "generative-ai", "natural-language-processing" ], "domainSpecificKnowledge" : [ "Generative AI", "Natural Language Processing" ], "toolProficiency" : [ "SQL", "Python", "R", "Spark", "Dbt", "Tableau", "Power BI", "Looker", "Snowflake", "BigQuery", "Redshift", "Databricks", "MLflow", "AWS", "GCP", "Azure" ], "qualificationsBasic" : "Master's degree in Statistics, Computer Science, Mathematics, or related field, 5+ years of experience in data science or machine learning, Proficiency in SQL, Experience with Python or R", "qualificationsPreferred" : "PhD preferred, Experience with cloud platforms (AWS, GCP, Azure), Experience with ML frameworks (scikit-learn, TensorFlow, PyTorch), Experience with BI tools (Tableau, Power BI, Looker), Experience with data warehousing (Snowflake, BigQuery, Redshift), Experience with MLOps tools (MLflow, Kubeflow), Experience with distributed computing (Spark, Hadoop)", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "We are a team of passionate, curious and diverse professionals who care about each other, our work, our company and the world. We are looking for someone who combines skill in machine learning with an ability to connect with people and see the wider context for a range of business problems. You will be responsible for assessing state-of-the-art techniques, researching novel ideas to improve them and applying them to large scale problems, mainly in the domain of recommender systems and NLP (from semantic search to deep agentic deep research). To solve problems effectively, you will need to be able to build relationships and understand the business context in which we are operating. This position will suit someone who has a deep understanding of machine learning and is comfortable presenting clearly and winsomely to a non-technical audience. NielsenIQ helps companies to meet the needs of people all over the world for food, health, hygiene, tech and durable products. Since 1923, NIQ has moved measurement forward for industries and economies across the globe. This position opens the opportunity to research and apply state-of-the-art AI/ML techniques to strategic global projects. * Research, evaluate, and adapt state-of-the-art techniques to solve large-scale AI problems. * Lead the development and application of machine learning innovations to complex business challenges with minimal supervision. * Drive innovation in Information Retrieval, Product Matching, Recommendation Systems, NLP, and Generative AI. * Assess the applicability of emerging research and identify opportunities for adoption across multiple business initiatives. * Design and conduct advanced experiments and feasibility studies to guide technical strategy. * Develop scalable, reproducible, and maintainable machine learning solutions and research frameworks. * Collaborate with Applied AI and Engineering teams to enable adoption of research outcomes. * Mentor and support other scientists and contribute to the technical growth of the team. * Lead or contribute to scientific publications, patents, and conference submissions. * Communicate technical vision, research findings, and strategic recommendations to stakeholders across technical and business functions. * Promote engineering excellence, scientific rigor, and best practices across research initiatives. ## Qualifications * Master's, or PhD in Computer Science, Artificial Intelligence, Machine Learning, Mathematics, Physics, or a related quantitative discipline. * 7+ years of experience in Machine Learning, Deep Learning, or AI research. * Demonstrated expertise in training transformer-based models for Information Retrieval, Recommendation Systems, Product Matching, NLP, or related domains. * Experience training custom SLMs and /or small reasoning models. * Advanced experience with Python, PyTorch, Hugging Face, Pandas, Scikit-learn, and Git. * Strong experience with Transformer architectures, embeddings, and representation learning. * Experience with vector databases (e.g., FAISS, ChromaDB, Pinecone) and retrieval-based systems. * Ability to understand, evaluate, and extend ideas from scientific literature. * Strong analytical, problem-solving, stakeholder management, and communication skills. * Proven ability to independently drive research initiatives from concept through adoption. Good to Have * PhD in a relevant field. * Publications in leading conferences (e.g., ACL, EMNLP, SIGIR, KDD, NeurIPS, ICML, ICLR, RecSys). * Experience mentoring researchers or leading technical initiatives. * Experience with RAG architectures, LLMs, and agent-based frameworks. * Experience with Knowledge Graphs. * Experience in retail, consumer intelligence, ecommerce, or FMCG domains. * Experience with Databricks, SQL, Elasticsearch. ## Additional Information Salary: 55300– €65000 gross per year. This role might also be eligible for a performance-based bonus. Placement within the range will depend on objective criteria including experience, skills, and internal equity considerations. We are committed to equal pay and pay transparency. Remuneration decisions are made using gender-neutral and objective criteria. Employees enjoy a Home Office working model (Spain-based), with occasional team meetings at the office. Our Benefits * Flexible working environment * Volunteer time off * LinkedIn Learning * Employee-Assistance-Program (EAP) NIQ may utilize artificial intelligence (AI) tools at various stages of the recruitment process, including résumé screening, candidate assessments, interview scheduling, job matching, communication support, and certain administrative tasks that help streamline workflows. These tools are intended to improve efficiency and support fair and consistent evaluation based on job-related criteria. All use of AI is governed by NIQ’s principles of fairness, transparency, human oversight, and inclusion. Final hiring decisions are made exclusively by humans. NIQ regularly reviews its AI tools to help mitigate bias and ensure compliance with applicable laws and regulations. If you have questions, require accommodations, or wish to request human review were permitted by law, please contact your local HR representative. For more information, please visit NIQ’s AI Safety Policies and Guiding Principles: https://www.nielseniq.com/global/en/ai-safety-policies. About NIQ NIQ is the world’s leading consumer intelligence company, delivering the most complete understanding of consumer buying behavior and revealing new pathways to growth. In 2023, NIQ combined with GfK, bringing together the two industry leaders with unparalleled global reach. With a holistic retail read and the most comprehensive consumer insights—delivered with advanced analytics through state-of-the-art platforms—NIQ delivers the Full View™. NIQ is an Advent International portfolio company with operations in 100+ markets, covering more than 90% of the world’s population. For more information, visit NIQ.com Want to keep up with our latest updates? Follow us on: [LinkedIn](https://www.linkedin.com/company/nielseniq/mycompany/) | [Instagram](https://www.instagram.com/nielseniq/) | [Twitter](https://twitter.com/nielseniq) | [Facebook](https://www.facebook.com/NielsenIQ.global/) Our commitment to Diversity, Equity, and Inclusion At NIQ, we are steadfast in our commitment to fostering an inclusive workplace that mirrors the rich diversity of the communities and markets we serve. We believe that embracing a wide range of perspectives drives innovation and excellence. All employment decisions at NIQ are made without regard to race, color, religion, sex (including pregnancy, sexual orientation, or gender identity), national origin, age, disability, genetic information, marital status, veteran status, or any other characteristic protected by applicable laws. We invite individuals who share our dedication to inclusivity and equity to join us in making a meaningful impact. To learn more about our ongoing efforts in diversity and inclusion, please visit the [https://nielseniq.com/global/en/news-center/diversity-inclusion](https://nam02.safelinks.protection.outlook.com/?url=https%3A%2F%2Fnielseniq.com%2Fglobal%2Fen%2Fnews-center%2Fdiversity-inclusion&data=05%7C02%7CJenny.Rebecca%40nielseniq.com%7C6e534cbe3eb041842d5f08dc6dca121e%7C6ac7a1f45fb14153bb4f12d2020a1f7d%7C0%7C0%7C638505961881417602%7CUnknown%7CTWFpbGZsb3d8eyJWIjoiMC4wLjAwMDAiLCJQIjoiV2luMzIiLCJBTiI6Ik1haWwiLCJXVCI6Mn0%3D%7C0%7C%7C%7C&sdata=B%2Fp40oNUpJOw1CNoc87EFXk%2BvxeO1jxYOSRCEKM%2Fz5Q%3D&reserved=0)", "summaryDescription" : "Senior Research Scientist (Machine Learning, NLP, Generative AI) at NielsenIQ. Skills: Machine Learning, NLP, Generative AI, Data Science. Develop and implement machine learning models. Design and build data pipelines", "postedDate" : "2026-06-15T18:27:15.000", "createdAt" : "2026-06-15T23:53:58.502", "lastUpdated" : "2026-06-16T09:23:30.720", "ingestTimestamp" : "2026-06-15T23:53:58.502", "mongoId" : "6a3068adf292fd229cfc507d", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "50k-75k", "hasSalary" : false, "allSkills" : [ "Regression analysis", "Classification modeling", "Clustering algorithms", "Time-series forecasting", "A/B testing", "Causal inference", "Machine Learning", "NLP", "Generative AI", "Data Science", "Data modeling", "Statistical analysis", "Machine learning", "Data engineering", "Business intelligence", "Analytics engineering", "Quantitative analysis", "Natural Language Processing", "GCP Professional Data Engineer", "AWS Data Analytics", "Databricks Certified", "Dbt Certified", "SQL", "Python", "R", "Spark", "Dbt", "Tableau", "Power BI", "Looker", "Snowflake", "BigQuery", "Redshift", "Databricks", "MLflow", "AWS", "GCP", "Azure" ], "skillCount" : 38, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Senior", "dataQualityScore" : 1.0, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.98 }, { "id" : "6a305dbff292fd229cf69eb5", "title" : "Senior Research Scientist (Machine Learning, NLP, Generative AI)", "company" : "NielsenIQ", "industry" : "Market Research", "salary" : { "min" : 55000.0, "max" : 85000.0, "currency" : "EUR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for Senior Research Scientist in Spain, adjusted for industry and seniority." }, "location" : "Valladolid, M, Spain", "locations" : [ "Valladolid", "M", "Spain" ], "timestamp" : "2026-06-16T09:39:54.867", "fingerprint" : "842748fd5aabe3ed2d60551b4f9b93fc275d981bd8126dc1ae26aec469c8eae2", "source" : "smartrecruiters", "language" : "en", "applyUrl" : "https://jobs.smartrecruiters.com/NielsenIQ/744000132263469-senior-research-scientist-machine-learning-nlp-generative-ai-", "externalId" : "744000132263469", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Valladolid", "state" : "Valladolid", "country" : "Spain", "continent" : "eu", "source" : "llm", "workMode" : "onsite", "geo" : "41.6200024,-4.7259906" } ], "locationText" : "Valladolid, Valladolid, Spain", "employmentType" : "FULL_TIME", "minimumEducation" : "Master's", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "mid", "technicalSkills" : "Python, Machine Learning, NLP, Generative AI", "majorSkills" : "Machine Learning, NLP, Generative AI", "majorSkillsList" : [ "Machine Learning", "NLP", "Generative AI" ], "coreResponsibilities" : "Conduct research and development, Develop and implement machine learning models, Stay current with AI advancements, Collaborate with engineering teams, Translate research into production systems", "teamCollaboration" : "Engineering teams", "domainKnowledge" : "Machine Learning; NLP; Generative AI", "domainList" : [ "machine-learning", "nlp", "generative-ai" ], "domainSpecificKnowledge" : [ "Machine Learning", "NLP", "Generative AI" ], "continuousLearning" : "Stay current with AI advancements", "innovationCreativity" : "Research and development", "qualificationsBasic" : "Master's degree in Computer Science, 5+ years of experience, Experience with Python, Experience with machine learning, Experience with NLP, Experience with Generative AI", "qualificationsPreferred" : "PhD preferred, Experience with deep learning frameworks, Experience with cloud platforms, Experience with large-scale data processing", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "We are a team of passionate, curious and diverse professionals who care about each other, our work, our company and the world. We are looking for someone who combines skill in machine learning with an ability to connect with people and see the wider context for a range of business problems. You will be responsible for assessing state-of-the-art techniques, researching novel ideas to improve them and applying them to large scale problems, mainly in the domain of recommender systems and NLP (from semantic search to deep agentic deep research). To solve problems effectively, you will need to be able to build relationships and understand the business context in which we are operating. This position will suit someone who has a deep understanding of machine learning and is comfortable presenting clearly and winsomely to a non-technical audience. NielsenIQ helps companies to meet the needs of people all over the world for food, health, hygiene, tech and durable products. Since 1923, NIQ has moved measurement forward for industries and economies across the globe. This position opens the opportunity to research and apply state-of-the-art AI/ML techniques to strategic global projects. * Research, evaluate, and adapt state-of-the-art techniques to solve large-scale AI problems. * Lead the development and application of machine learning innovations to complex business challenges with minimal supervision. * Drive innovation in Information Retrieval, Product Matching, Recommendation Systems, NLP, and Generative AI. * Assess the applicability of emerging research and identify opportunities for adoption across multiple business initiatives. * Design and conduct advanced experiments and feasibility studies to guide technical strategy. * Develop scalable, reproducible, and maintainable machine learning solutions and research frameworks. * Collaborate with Applied AI and Engineering teams to enable adoption of research outcomes. * Mentor and support other scientists and contribute to the technical growth of the team. * Lead or contribute to scientific publications, patents, and conference submissions. * Communicate technical vision, research findings, and strategic recommendations to stakeholders across technical and business functions. * Promote engineering excellence, scientific rigor, and best practices across research initiatives. ## Qualifications * Master's, or PhD in Computer Science, Artificial Intelligence, Machine Learning, Mathematics, Physics, or a related quantitative discipline. * 7+ years of experience in Machine Learning, Deep Learning, or AI research. * Demonstrated expertise in training transformer-based models for Information Retrieval, Recommendation Systems, Product Matching, NLP, or related domains. * Experience training custom SLMs and /or small reasoning models. * Advanced experience with Python, PyTorch, Hugging Face, Pandas, Scikit-learn, and Git. * Strong experience with Transformer architectures, embeddings, and representation learning. * Experience with vector databases (e.g., FAISS, ChromaDB, Pinecone) and retrieval-based systems. * Ability to understand, evaluate, and extend ideas from scientific literature. * Strong analytical, problem-solving, stakeholder management, and communication skills. * Proven ability to independently drive research initiatives from concept through adoption. Good to Have * PhD in a relevant field. * Publications in leading conferences (e.g., ACL, EMNLP, SIGIR, KDD, NeurIPS, ICML, ICLR, RecSys). * Experience mentoring researchers or leading technical initiatives. * Experience with RAG architectures, LLMs, and agent-based frameworks. * Experience with Knowledge Graphs. * Experience in retail, consumer intelligence, ecommerce, or FMCG domains. * Experience with Databricks, SQL, Elasticsearch. ## Additional Information Salary: 55300– €65000 gross per year. This role might also be eligible for a performance-based bonus. Placement within the range will depend on objective criteria including experience, skills, and internal equity considerations. We are committed to equal pay and pay transparency. Remuneration decisions are made using gender-neutral and objective criteria. Employees enjoy a Home Office working model (Spain-based), with occasional team meetings at the office. Our Benefits * Flexible working environment * Volunteer time off * LinkedIn Learning * Employee-Assistance-Program (EAP) NIQ may utilize artificial intelligence (AI) tools at various stages of the recruitment process, including résumé screening, candidate assessments, interview scheduling, job matching, communication support, and certain administrative tasks that help streamline workflows. These tools are intended to improve efficiency and support fair and consistent evaluation based on job-related criteria. All use of AI is governed by NIQ’s principles of fairness, transparency, human oversight, and inclusion. Final hiring decisions are made exclusively by humans. NIQ regularly reviews its AI tools to help mitigate bias and ensure compliance with applicable laws and regulations. If you have questions, require accommodations, or wish to request human review were permitted by law, please contact your local HR representative. For more information, please visit NIQ’s AI Safety Policies and Guiding Principles: https://www.nielseniq.com/global/en/ai-safety-policies. About NIQ NIQ is the world’s leading consumer intelligence company, delivering the most complete understanding of consumer buying behavior and revealing new pathways to growth. In 2023, NIQ combined with GfK, bringing together the two industry leaders with unparalleled global reach. With a holistic retail read and the most comprehensive consumer insights—delivered with advanced analytics through state-of-the-art platforms—NIQ delivers the Full View™. NIQ is an Advent International portfolio company with operations in 100+ markets, covering more than 90% of the world’s population. For more information, visit NIQ.com Want to keep up with our latest updates? Follow us on: [LinkedIn](https://www.linkedin.com/company/nielseniq/mycompany/) | [Instagram](https://www.instagram.com/nielseniq/) | [Twitter](https://twitter.com/nielseniq) | [Facebook](https://www.facebook.com/NielsenIQ.global/) Our commitment to Diversity, Equity, and Inclusion At NIQ, we are steadfast in our commitment to fostering an inclusive workplace that mirrors the rich diversity of the communities and markets we serve. We believe that embracing a wide range of perspectives drives innovation and excellence. All employment decisions at NIQ are made without regard to race, color, religion, sex (including pregnancy, sexual orientation, or gender identity), national origin, age, disability, genetic information, marital status, veteran status, or any other characteristic protected by applicable laws. We invite individuals who share our dedication to inclusivity and equity to join us in making a meaningful impact. To learn more about our ongoing efforts in diversity and inclusion, please visit the [https://nielseniq.com/global/en/news-center/diversity-inclusion](https://nam02.safelinks.protection.outlook.com/?url=https%3A%2F%2Fnielseniq.com%2Fglobal%2Fen%2Fnews-center%2Fdiversity-inclusion&data=05%7C02%7CJenny.Rebecca%40nielseniq.com%7C6e534cbe3eb041842d5f08dc6dca121e%7C6ac7a1f45fb14153bb4f12d2020a1f7d%7C0%7C0%7C638505961881417602%7CUnknown%7CTWFpbGZsb3d8eyJWIjoiMC4wLjAwMDAiLCJQIjoiV2luMzIiLCJBTiI6Ik1haWwiLCJXVCI6Mn0%3D%7C0%7C%7C%7C&sdata=B%2Fp40oNUpJOw1CNoc87EFXk%2BvxeO1jxYOSRCEKM%2Fz5Q%3D&reserved=0)", "summaryDescription" : "Senior Research Scientist (Machine Learning, NLP, Generative AI) at NielsenIQ. Skills: Machine Learning, NLP, Generative AI. Conduct research and development. Develop and implement machine learning models", "postedDate" : "2026-06-15T18:27:15.000", "createdAt" : "2026-06-15T23:47:25.346", "lastUpdated" : "2026-06-16T09:39:54.867", "ingestTimestamp" : "2026-06-15T23:47:25.346", "mongoId" : "6a305dbff292fd229cf69eb5", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "50k-75k", "hasSalary" : false, "allSkills" : [ "Machine Learning", "NLP", "Generative AI" ], "skillCount" : 3, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Senior", "dataQualityScore" : 1.0, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.98 }, { "id" : "69d3e6b92beec4dd3d3f7395", "title" : "Learning Associate", "company" : "Afaq", "industry" : "Fulfillment Operations Management, Training, fulfillment ops", "salary" : { "min" : 75000.0, "max" : 110000.0, "currency" : "SAR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Junior Learning Associate in Riyadh, Saudi Arabia, adjusted for the logistics industry." }, "location" : "Riyadh, SAU", "locations" : [ "Riyadh, SAU" ], "timestamp" : "2026-06-15T07:53:44.722", "fingerprint" : "8de4ed2a19828190060d0e454dad8b78b31763a405f19ec9ac25c17401c9ec33", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.com/jobs/10383953/apply", "externalId" : "08dc4bdd-a297-4676-996b-815c9af5d3b9", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Riyadh", "state" : "Riyadh", "country" : "Saudi Arabia", "continent" : "as", "source" : "llm", "workMode" : "onsite", "geo" : "24.6389160,46.7160104" } ], "locationText" : "Riyadh, Riyadh, Saudi Arabia", "employmentType" : "FULL_TIME", "coreResponsibilities" : "Coordinate training, Execute training, Evaluate processes, Refine processes, Improve learning effectiveness, Improve production, Drive training plans, Support workforce needs, Work flexible schedules, Act as supervisor, Deliver instructor training, Provide observation, Provide coaching, Ensure training records are up to date, Ensure training materials are kept, Deliver training against standard, Provide positive learning experience, Use data daily, Analyze data daily, Provide feedback to instructors, Provide feedback to peer trainers, Organize instructor assignment, Monitor cross training, Support peak skill requirements, Work with operations on skill matrix, Highlight gaps for critical role training, Support operations with critical role training delivery, Improve processes from feedback, Improve processes from data analysis, Support recruitment of instructors, Support recruitment of peer trainers, Attend meetings, Provide information at meetings, Work in partnership with agency managers, Improve new hire performance", "teamCollaboration" : "Work with operations; Partner with agency managers", "toolProficiency" : [ "Microsoft Office", "Excel", "Word", "PowerPoint", "Outlook" ], "communicationSkills" : "Written communication; Verbal communication; Presentation", "specialRequirements" : "Work flexible schedules, Work flexible shifts", "qualificationsBasic" : "Written and verbal communication, Presentation skills, Microsoft Office proficiency", "qualificationsPreferred" : "Fluent English speaking, Fluent English writing, Fluent English reading", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "The Learning Associate/Trainer is responsible for the coordination and execution of training for all process paths in the Fulfilment Center. Trainers evaluate and refine processes and techniques to improve learning effectiveness and production across all departments in the building. The Trainer assists in driving the success training plans and supporting the needs of the Fulfilment Center workforce. Key job responsibilities · Willing to work flexible schedules/shifts · Act as a supervisor for Instructors and Peer Trainers with new hires · Deliver Instructor training, observation and coaching to the MENA Standard · Ensure training records are kept up to date through the console · Ensure MENA training materials are kept and delivered against MENA standard and provide a positive learning experience · Use and analyze data on a daily basis to improve NH learning experience · Feedback to Instructors and Peer Trainers on their delivery and new hire (NH) groups performance · Organize (Instructors assignment) and monitor cross training for the operations to support peak skill requirements · Work with operations on a skill matrix to highlight gaps for critical role training · Support operations with the delivery of critical role training · Improve processes from gathering feedback and analyzing data · Support the recruitment of Instructors and Peer Trainers · Attend meetings when required and provide information required · Work in partnership with the agency managers to improve new hire performance · Support MENA level projects with feedback and improvements Basic Qualifications: - Experience with written and verbal communication and presentation - Experience using Microsoft Office (Excel, Word, PowerPoint, Outlook) Preferred Qualifications: - Speak, write, and read fluently in English Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.", "summaryDescription" : "Learning Associate at Afaq. Coordinate training. Execute training", "postedDate" : "2026-06-13T17:05:47.058", "createdAt" : "2026-06-13T17:05:47.058", "lastUpdated" : "2026-06-15T07:53:44.722", "ingestTimestamp" : "2026-06-13T17:05:47.058", "mongoId" : "69d3e6b92beec4dd3d3f7395", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://account.amazon.com/jobs/10383953/apply", "salaryBand" : "75k-100k", "hasSalary" : false, "allSkills" : [ "Microsoft Office", "Excel", "Word", "PowerPoint", "Outlook" ], "skillCount" : 5, "jobCategory" : "operations", "dataQualityScore" : 0.8888889, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true }, { "id" : "6a2c91ab74d8ee00a0983b1c", "title" : "Research Engineer, Code RL (Reinforcement Learning)", "company" : "Anthropic", "industry" : "Technology", "salary" : { "min" : 500000.0, "max" : 850000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "San Francisco, California, United States", "locations" : [ "San Francisco", "California", "United States" ], "timestamp" : "2026-06-15T22:23:34.262", "fingerprint" : "b9496866b17237fb0d508cfa819dda78b3e44b954947da3ebd997f21141f11c1", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/anthropic/jobs/5254364008", "externalId" : "5254364008", "industryFunction" : { }, "structuredLocations" : [ { "city" : "San Francisco", "state" : "California", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "hybrid", "geo" : "37.7879363,-122.4075201" } ], "locationText" : "San Francisco, California, United States", "employmentType" : "FULL_TIME", "technicalSkills" : "Python, Async programming, Concurrent programming, PyTorch, ML systems, CUDA, GPU, TPU, Kernel", "professionalSkills" : [ "System design", "Experimental design", "Performance optimization" ], "hardSkillsList" : [ "Code generation", "Model reasoning", "Scalable infrastructure", "Training methodologies", "Program analysis", "Formal methods", "Performance profiling" ], "hardSkills" : [ { "name" : "Code generation", "level" : "intermediate" }, { "name" : "Model reasoning", "level" : "intermediate" }, { "name" : "Scalable infrastructure", "level" : "intermediate" }, { "name" : "Training methodologies", "level" : "intermediate" }, { "name" : "Program analysis", "level" : "intermediate" }, { "name" : "Formal methods", "level" : "intermediate" }, { "name" : "Performance profiling", "level" : "intermediate" } ], "majorSkills" : "Reinforcement Learning, Large language models, Software engineering, AI systems", "majorSkillsList" : [ "Reinforcement Learning", "Large language models", "Software engineering", "AI systems" ], "coreResponsibilities" : "Advance models' ability to write software, Advance models' ability to edit software, Advance models' ability to test software, Advance models' ability to debug software, Advance models' ability to ship software, Design RL environments, Design coding tasks, Build reward signals, Build verifiers, Run training experiments, Diagnose model performance, Improve pipeline speed, Improve pipeline reliability", "teamCollaboration" : "Alignment teams; Frontier red teams; Applied production training team; Research teams; Engineering teams", "domainKnowledge" : "Reinforcement learning; Large language models; Agentic coding behaviors; Code correctness; Autonomous engineering; High-performance code; Accelerators; Program analysis; Formal methods; Compilers; Virtualization; Sandboxed code execution; AI safety; AI alignment", "domainList" : [ "reinforcement-learning", "large-language-models", "agentic-coding-behaviors", "code-correctness", "autonomous-engineering", "high-performance-code", "accelerators", "program-analysis", "formal-methods", "compilers", "virtualization", "sandboxed-code-execution", "ai-safety", "ai-alignment" ], "domainSpecificKnowledge" : [ "Reinforcement learning", "Large language models", "Agentic coding behaviors", "Code correctness", "Autonomous engineering", "High-performance code", "Accelerators", "Program analysis", "Formal methods", "Compilers", "Virtualization", "Sandboxed code execution", "AI safety", "AI alignment" ], "toolProficiency" : [ "PyTorch" ], "innovationCreativity" : "Research exploration", "problemSolvingSkills" : "Debugging across the stack; Diagnose model performance", "qualificationsBasic" : "Software-engineering skills, Deep Python expertise, Async/concurrent programming, Owning systems end to end, Debugging across the stack, Balancing research and engineering, Shaping experimental design, Interpreting experimental results, Caring about code quality, Caring about testing, Caring about performance, Commitment to safe systems, Commitment to beneficial systems, Bachelor's degree or equivalent experience", "qualificationsPreferred" : "Experience with reinforcement learning, Experience with RLHF, Experience with post-training, Experience with LLM finetuning, Built coding agents, Built code-execution sandboxes, Built eval harnesses, Built verifiers, Built developer tooling, Background in program analysis, Background in testing, Background in verification, Background in compilers, Background in formal methods, Experience with PyTorch, Large-scale distributed performance profiling, Optimization of ML systems, CUDA / GPU kernel experience, TPU kernel experience, Accelerator-performance intuition, Experience with virtualization, Experience with sandboxed code execution", "remoteFriendly" : false, "workSiteFlexibility" : "Hybrid", "rawDescription" : "About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the RL Teams Our Reinforcement Learning teams play a critical role in advancing our AI systems. We've contributed to all Claude models, with significant impacts on the autonomy and coding capabilities of our latest Claude models. Our work spans several key areas: Developing systems that enable models to use computers effectively Advancing code generation through reinforcement learning Pioneering fundamental RL research for large language models Building scalable RL infrastructure and training methodologies Enhancing model reasoning capabilities We collaborate closely with Anthropic's alignment and frontier red teams to ensure our systems are both capable and safe. We partner with the applied production training team to bring research innovations into deployed models, and are dedicated to implement our research at scale. Our Reinforcement Learning teams sit at the intersection of cutting-edge research and engineering excellence, with a deep commitment to building high-quality, scalable systems that push the boundaries of what AI can accomplish. About the Role We're hiring for the Code RL team within the RL organization. As a Research Engineer, you'll advance our models' ability to write, edit, test, debug, and ship real software — end to end, on real codebases, with real tools — and to do it correctly, fast, and safely. This role blends research and engineering. You'll design RL environments and coding tasks, build the reward signals and verifiers that capture what \"good code\" means, run training experiments on frontier models, diagnose why a model does (or doesn't) get better at a class of software-engineering work, and improve the speed and reliability of the pipelines that make all of that iterate fast. Code RL spans several focus areas — from agentic coding behaviors and code correctness, to long-horizon autonomous engineering, to high-performance code for accelerators — and we'll match you to the area where you'll have the most impact. You may be a good fit if you: Have strong software-engineering skills and deep Python expertise, including async/concurrent programming Are comfortable owning systems end to end and debugging across the stack Can balance research exploration with engineering implementation, and engage rigorously in shaping experimental design and interpreting results Care about code quality, testing, and performance Are passionate about the potential impact of AI and are committed to developing safe and beneficial systems Strong candidates may also have: Experience with reinforcement learning, RLHF, post-training, or LLM finetuning Built coding agents, code-execution sandboxes, eval harnesses, verifiers, or developer tooling Background in program analysis, testing, verification, compilers, or formal methods Experience with PyTorch and large-scale distributed training; performance profiling and optimization of ML systems CUDA / GPU or TPU kernel experience and accelerator-performance intuition Experience with virtualization and sandboxed code execution environments Related roles If your background leans toward one of these areas specifically, you may also want to look at these postings: Research Engineer, Performance RL (Reinforcement Learning) — teaching Claude to write correct, fast code for accelerators Research Engineer, Universes — long-horizon, ultra-realistic agentic training environments Research Engineer, Cybersecurity RL (Reinforcement Learning) — RL for security-relevant coding capabilities The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings (\"OTE\") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $500,000—$850,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.", "summaryDescription" : "Research Engineer, Code RL (Reinforcement Learning) at Anthropic. Skills: Reinforcement Learning, Large language models, Software engineering, AI systems. Advance models' ability to write software. Advance models' ability to edit software", "postedDate" : "2026-06-14T20:05:29.832", "createdAt" : "2026-06-14T20:05:29.832", "lastUpdated" : "2026-06-15T22:23:34.262", "ingestTimestamp" : "2026-06-14T20:05:29.832", "mongoId" : "6a2c91ab74d8ee00a0983b1c", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 500000, "salaryAnnualMax" : 850000, "salaryBand" : "200k+", "hasSalary" : true, "allSkills" : [ "Code generation", "Model reasoning", "Scalable infrastructure", "Training methodologies", "Program analysis", "Formal methods", "Performance profiling", "Reinforcement Learning", "Large language models", "Software engineering", "AI systems", "System design", "Experimental design", "Performance optimization", "Reinforcement learning", "Agentic coding behaviors", "Code correctness", "Autonomous engineering", "High-performance code", "Accelerators", "Compilers", "Virtualization", "Sandboxed code execution", "AI safety", "AI alignment", "PyTorch" ], "skillCount" : 26, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Senior", "dataQualityScore" : 0.8888889, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.98 }, { "id" : "69dde45b2beec4dd3d9a3eb9", "title" : "Postdoctoral Fellow", "company" : "Beckman Research Institute", "industry" : "Biotech", "salary" : { "min" : 60000.0, "max" : 75000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for Postdoctoral Fellow in Duarte, CA, adjusted for entry-level seniority and the biotech industry." }, "location" : "United States-California-Duarte", "locations" : [ "United States-California-Duarte", "Post-doctoral Research", "Onsite, Days, Days" ], "timestamp" : "2026-06-15T23:21:53.503", "fingerprint" : "644bb3b3a1ee12b36cdeeb1c75e5097c42eba41650ee927cb0ca0b594e3a0686", "source" : "taleo", "language" : "en", "applyUrl" : "https://aa067.taleo.net/careersection/ex/jobdetail.ftl?job=233847", "externalId" : "233847", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Duarte", "state" : "California", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "34.1394513,-117.9772873" } ], "locationText" : "Duarte, California, United States", "minimumEducation" : "PhD", "remoteFriendly" : false, "rawDescription" : "Join the forefront of groundbreaking research at the Beckman Research Institute of City of Hope, where we're changing lives and making a real difference in the fight against cancer, diabetes, and other life-threatening illnesses. Our dedicated and compassionate faculty and staff are driven by a common mission: Contribute to innovative approaches in predicting, preventing, and curing diseases, shaping the future of medicine through cutting-edge research. A Postdoctoral Fellow role is available in the lab of Dr. Annabel Wang. The research in her laboratory focuses on the metabolic and cellular plasticity of adipose tissue in response to physiological, pathophysiological, and aging-related challenges. The lab’s long-term goals are to provide fundamental insights into 1) the metabolic significance of adipocyte and adipocyte progenitor cell plasticity and heterogeneity; 2) mechanisms by which adipocytes communicate with other cell types in response to metabolic cues; and 3) adipose tissue remodeling during aging and age-associated metabolic disorders. Ultimately, the lab’s aim is to mitigate pathogenesis and develop effective treatments for chronic metabolic diseases. The lab has developed unique and comprehensive mouse models enabling real-time labeling, lineage tracing, inducible knockout, and inducible overexpression. Her lab integrates molecular biology, biochemistry, and histological approaches with state-of-the-art technologies, including comprehensive mouse phenotyping, tissue clearing and 3D imaging, in vivo transplantation combined with 3D imaging of grafts, and single-cell and spatial multi-omics analyses. For more information on Dr. Wang, please visit here . Your qualifications should include: · PhD or M.D. City of Hope employees pay is based on the following criteria: work experience, qualifications, and work location. City of Hope is an equal opportunity employer. To learn more about our Comprehensive Benefits, please CLICK HERE . United States-California-Duarte", "summaryDescription" : "Postdoctoral Fellow at Beckman Research Institute", "createdAt" : "2026-06-14T20:47:32.190", "lastUpdated" : "2026-06-15T23:21:53.503", "ingestTimestamp" : "2026-06-14T20:47:32.190", "mongoId" : "69dde45b2beec4dd3d9a3eb9", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 60000, "salaryAnnualMax" : 75000, "salaryBand" : "50k-75k", "hasSalary" : true, "allSkills" : [ ], "skillCount" : 0, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Entry", "dataQualityScore" : 0.5555556, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Biotech", "llmIndustryConfidence" : 0.95 }, { "id" : "6a2ca5e274d8ee00a09b87c4", "title" : "Manager, Learning and Development", "company" : "Precision Medicine Group", "salary" : { "min" : 160000.0, "max" : 240000.0, "currency" : "EUR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Manager, Learning and Development in Poland, adjusted for the Biotech industry and remote work." }, "location" : "Remote (Poland)", "locations" : [ "Remote (Poland)" ], "timestamp" : "2026-06-16T01:54:20.146", "fingerprint" : "b90fea7c9980ad6c302d9217c873b92f80a039a9c715d7d3e26cae93d6e1a446", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/precisionmedicinegroup/jobs/6019948004", "externalId" : "6019948004", "industryFunction" : { }, "structuredLocations" : [ { "country" : "Poland", "continent" : "eu", "workMode" : "remote" } ], "locationText" : "Poland", "minimumEducation" : "Bachelor's", "experienceMinYears" : 4, "experienceMaxYears" : 6, "experienceLevel" : "Manager", "remoteFriendly" : true, "workSiteFlexibility" : "Remote", "rawDescription" : "We are hiring a Manager, Learning and Development based in Hungary, Poland, Romania, Serbia or Slovakia to join our team. The Manager, Learning & Development is responsible for supporting training strategy, identifying, developing, and delivering training solutions that support global Precision for Medicine functions. This role partners with subject matter experts to design effective learning programs across translational sciences (labs and logistics), clinical operations, project management, GCP, data management, and regulatory/compliance areas in support of functional and GCP requirements. The Manager serves as the primary intake point for training requests, coordinates new hire onboarding, and supports refinement of learning technologies and platforms. Clear communication and collaboration with stakeholders and L&D leadership are essential to success in this role. Main Duties & Responsibilities: Partner with functional SMEs to assess training needs, design and develop appropriate content, and deliver effective learning solutions. Lead coordination and delivery of new hire role specific onboarding for Precision for Medicine, including scheduling and tracking as applicable. Design and deliver instructor‑led, virtual, and e‑learning training programs aligned with adult learning principles. Serve as first‑line triage for training requests and provide guidance on existing tools, templates, and materials. Manage and support learning platforms and systems used by the L&D function. Maintain accurate training documentation, records, and reporting in accordance with regulatory expectations. Collaborate with functional leadership to establish and maintain role‑based curricula by function, including documented annual reviews of curricula and training hour requirements, with updates completed as regulations, organizational needs, or role expectations evolve. Education and Experience: Graduate, postgraduate, 4-year college degree, or equivalent experience in a scientific or healthcare discipline. A minimum of 4-6 years of clinical trial experience within pharmaceutical, biotechnology or CRO and/or healthcare setting, of which 4 years must include roles directly related to clinical trial execution supporting delivery teams with training and development. Proficiency with learning development platforms. Proficiency with Microsoft Office. Excellent verbal communication skills be able to communicate effectively in the English language. Strong writing and recordkeeping abilities. Ability to plan and manage multiple complex projects. Demonstrated ability to develop positive working relationships with individual and teams internally and externally. Core understanding of medical terminology and clinical trial activities in relation to execution of a clinical development plan. Strong knowledge of ICH/GCP relating to clinical trial management. Precision for Medicine is the first global precision medicine clinical research services organization, purpose-built to improve the clinical research and development process for new therapeutics. Our novel approach integrates clinical operations excellence, with laboratory expertise, and advanced data sciences to inform every step. We apply our expertise to trials at all stages—from early development through approval—with embedded experience in oncology and rare disease. #LI-NC1 #LI-Remote Any data provided as a part of this application will be stored in accordance with our Privacy Policy. For CA applicants, please also refer to our CA Privacy Notice. Precision Medicine Group is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, age, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status or other characteristics protected by law. If you are an individual with a disability and require a reasonable accommodation to complete any part of the application process or are limited in the ability or unable to access or use this online application process and need an alternative method for applying, you may contact Precision Medicine Group at QuestionForHR@precisionmedicinegrp.com. It has come to our attention that some individuals or organizations are reaching out to job seekers and posing as potential employers presenting enticing employment offers. We want to emphasize that these offers are not associated with our company and may be fraudulent in nature. Please note that our organization will not extend a job offer without prior communication with our recruiting team, hiring managers and a formal interview process.", "summaryDescription" : "Manager, Learning and Development at Precision Medicine Group", "postedDate" : "2026-06-14T20:16:13.348", "createdAt" : "2026-06-14T20:16:13.348", "lastUpdated" : "2026-06-16T01:54:20.146", "ingestTimestamp" : "2026-06-14T20:16:13.348", "mongoId" : "6a2ca5e274d8ee00a09b87c4", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "150k-200k", "hasSalary" : false, "allSkills" : [ ], "skillCount" : 0, "jobCategory" : "operations", "jobSubcategory" : "hr", "seniorityLevel" : "Manager", "dataQualityScore" : 0.7777778, "daysOld" : 1, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "Biotech", "llmIndustryConfidence" : 0.95 }, { "id" : "6a2d748c74d8ee00a0bef9ce", "title" : "Postdoctoral Research Fellow", "company" : "University of Melbourne", "industry" : "Education", "salary" : { "min" : 75000.0, "max" : 95000.0, "currency" : "AUD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Postdoctoral Research Fellow in Australia, adjusted for entry-level seniority and part-time employment." }, "location" : "Australia", "locations" : [ "Australia" ], "timestamp" : "2026-06-15T22:32:55.585", "fingerprint" : "e9b40c989fec91fb778ee963d4dc124a7402500a31bf6d4ae7926a36933a7ea7", "source" : "workday", "language" : "en", "applyUrl" : "https://unimelb.wd105.myworkdayjobs.com/UoM_Direct_Appointment_Confidential_Careers/job/Parkville/Postdoctoral-Research-Fellow_JR-013497", "externalId" : "JR-013497", "industryFunction" : { }, "locationPoint" : "-25.2744,133.7751", "structuredLocations" : [ { "country" : "Australia", "continent" : "oc", "workMode" : "remote" } ], "locationText" : "Australia", "employmentType" : "PART_TIME", "coreResponsibilities" : "Register details via HR system, Complete pre-employment requirements, Receive employment agreement, Finalise onboarding activities, Create candidate profile", "toolProficiency" : [ "Workday" ], "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "On behalf of the **University of Melbourne** , we are pleased to invite you to register your details via our new HR system, **Workday** , to finalise the offer and onboarding process for the position listed in the linked job advertisement. **Your registration is an essential step and will enable you to:** * Complete any outstanding pre-employment requirements * Receive your employment agreement (contract) * Finalise important onboarding activities We apologise for any request for information that repeats what you provided in your initial application; however, the detail is required to ensure you are onboarded seamlessly. To proceed, please use the **Apply** function to create your Candidate profile using the same email address you received notification of this request to create your profile. This is necessary for us to finalise your appointment. Should you have any questions or require support at any stage of the registration process, please get in touch with the Talent Services team at [ _hr-careers @unimelb.edu.au_](mailto:hr-careers@unimelb.edu.au) We look forward to welcoming you to the University of Melbourne!", "summaryDescription" : "Postdoctoral Research Fellow at University of Melbourne. Register details via HR system. Complete pre-employment requirements", "postedDate" : "2026-06-11T20:46:40.399", "createdAt" : "2026-06-14T20:46:40.397", "lastUpdated" : "2026-06-15T22:32:55.585", "ingestTimestamp" : "2026-06-14T20:46:40.397", "mongoId" : "6a2d748c74d8ee00a0bef9ce", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://unimelb.wd105.myworkdayjobs.com/UoM_Direct_Appointment_Confidential_Careers/job/Parkville/Postdoctoral-Research-Fellow_JR-013497", "salaryBand" : "75k-100k", "hasSalary" : false, "allSkills" : [ "Workday" ], "skillCount" : 1, "jobCategory" : "operations", "jobSubcategory" : "hr", "seniorityLevel" : "executive", "dataQualityScore" : 0.8888889, "daysOld" : 4, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "Education", "llmIndustryConfidence" : 0.85 } ], "status" : 200, "message" : "postdoctoral research associate physics informed learning and optimisation of windfarms dynamics jobs", "metadata" : { "title" : "postdoctoral research associate physics informed learning and optimisation of windfarms dynamics" }, "pagination" : { "page" : 0, "limit" : 50, "totalCount" : 73868, "totalPages" : 1478, "hasNext" : true, "hasPrevious" : false } }

Remote Postdoctoral Research Associate Physics Informed Learning And Optimisation Of Windfarms Dynamics Jobs

Top Skills

Postdoctoral Research Associate

Postdoctoral Research Associate – Physics-Informed Learning and Optimisation of Windfarms Dynamics

Postdoctoral Research Associate – Soil and Plant Microbiomes

Postdoctoral Research Associate in Medicinal Chemistry

Senior Developer (Physics Simulation & Optimisation)

Learning Associate, Learning and Development

Research Associate/Senior Research Associate

Postdoctoral Fellow - Cancer Research

Director of Research and Engineering, Health and Home

Associate General Counsel (Product and Research)

Member of Research Staff, Reinforcement Learning

Postdoctoral Fellow

Trainer, GSF Learning and development, GSF Learning and development

Postdoctoral Fellow - Genomics Research

Steering, Optimisation and Clearing Specialist

Postdoctoral Fellow - Diabetes, Obesity and Cancer Research

Learning Associate, Learning and Development

Learning Associate, Learning and Development

Postdoctoral Fellow - Blood Cancer Research

Senior Computer Vision and Machine Learning Research Scientist

Learning and Development Manager

Learning and Development Manager

Learning Associate, Learning and Development

Principal Software Engineer, Physics

Postdoctoral Scientist, Amazon Robotics Research and AI Development

Principal Software Engineer, Physics

Research Associate

Research Associate II or Postdoctoral Fellow - Cancer Biology

Clinical Manager of Research

Member of Research Staff, Optimization

Postdoctoral Fellow - Type 1 Diabetes Research

Division Director, Physics - Department of Radiation Oncology

Head of Learning & Development

Manager, Learning and Development

Associate Director, Prospect Research

Research Associate (Writing Focused)

Manager, Learning and Development

Manager, Learning and Development

Learning Associate

Postdoctoral Fellow - Computational and Quantitative Medicine

Human Dynamics Trainer

Senior Research Scientist (Machine Learning, NLP, Generative AI)

Senior Research Scientist (Machine Learning, NLP, Generative AI)

Senior Research Scientist (Machine Learning, NLP, Generative AI)

Senior Research Scientist (Machine Learning, NLP, Generative AI)

Learning Associate

Research Engineer, Code RL (Reinforcement Learning)

Postdoctoral Fellow

Manager, Learning and Development

Postdoctoral Research Fellow

Related Searches

All Postdoctoral Research Associate Physics Informed Learning And Optimisation Of Windfarms Dynamics Jobs by City

More Remote Jobs

Common Questions