{ "count" : 50824, "data" : [ { "id" : "69dde45b2beec4dd3d9a3eb8", "title" : "Postdoctoral Fellow - Hematological Malignancies Translational Science", "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 the biotech industry, entry-level seniority, and the Monrovia, California location." }, "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" : "2026-06-16T02:53:12.160", "fingerprint" : "51e3eb33e6cc50ee72d0ae24e7c1df46ecf11257c29145c7df43241e40601b0c", "source" : "taleo", "language" : "en", "applyUrl" : "https://aa067.taleo.net/careersection/ex/jobdetail.ftl?job=233686", "externalId" : "233686", "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, Tableau, Power BI, Looker, Snowflake, BigQuery, Redshift, Databricks, Fivetran, Airflow, Delta Lake, Scikit-learn, TensorFlow, PyTorch, XGBoost, LightGBM, Hugging Face, MLflow, AWS, S3, Glue, SageMaker, Athena, GCP, Vertex AI, Azure, Synapse, ML Studio", "professionalSkills" : [ "Data engineering", "Machine learning", "Business intelligence", "Analytics engineering", "Quantitative analysis" ], "hardSkillsList" : [ "Statistical methods", "ML frameworks", "BI platforms", "Cloud data stacks", "Modelling skills", "Regression", "Classification", "Clustering", "Time-series analysis", "A/B testing", "Causal inference" ], "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" }, { "name" : "Regression", "level" : "intermediate" }, { "name" : "Classification", "level" : "intermediate" }, { "name" : "Clustering", "level" : "intermediate" }, { "name" : "Time-series analysis", "level" : "intermediate" }, { "name" : "A/B testing", "level" : "intermediate" }, { "name" : "Causal inference", "level" : "intermediate" } ], "majorSkills" : "Data science, Data engineering, Machine learning, Business intelligence", "majorSkillsList" : [ "Data science", "Data engineering", "Machine learning", "Business intelligence" ], "toolProficiency" : [ "SQL", "Python", "R", "Scala", "Spark", "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" ], "qualificationsBasic" : "PhD required, 5+ years experience", "qualificationsPreferred" : "PhD preferred, GCP Professional Data Engineer certification preferred, AWS Data Analytics certification preferred, Databricks Certified certification preferred, Dbt Certified certification preferred", "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 Fellowship opportunity is immediately available for the highly motivated individual in the laboratory of Ling Li, Ph.D., in the Department of Hematological Malignancies Translational Science, Department of Pediatrics, and Gehr Family Center for Leukemia Research. You will directly work on the following projects: 1) Development of induced pluripotent stem cell-based human disease models 2) Understanding the role of immunity during tumorigenesis as well as disease relapses in order to design novel inhibitors, CAR-T cell therapy and antibody-based approach to intervene the malignancies 3) Identification of novel therapeutic target using high-throughput CRISPR genetic screen (e.g., metabolic pathway, mitochondria structure) in immune cells The Li group conducts the most forefront science and is highly productive with publications in high-impact journals in the past five years, Nature Cancer (2024, 2026), Blood (2022, 2019, 2019), Blood Cancer Journal (2022), Cell Stem Cell (2018). The Li research program is supported by multiple NIH (R01s), American Cancer Society, The Alex’s Lemonade Stand Foundation and several other prestigious private awards. As a successful candidate you will: · Conduct the research project independently in one of listed research areas · Supervise research intern in the lab · Write the research papers, protocols and organize data for grant application · Excellent communication skills, as the basis of internal or external collaboration Your qualifications should include: · PhD or M.D. with a strong background and profound knowledge in the field of either molecular biology, immunology, cancer biology, experience in sequencing or protein structural data analysis is highly preferred. Background with pharmacology, cell therapy or antibody engineering is also desired. · Strong experience in induced pluripotent stem cell (iPSC) establishment possesses a deep understanding of the entire reprogramming process, from the sourcing of somatic cells to the final characterization and banking of high-quality, pluripotent lines. This expertise involves mastering numerous technical challenges, staying current with diverse reprogramming methods, and implementing rigorous quality control throughout the workflow. · Literature knowledge of one of the research areas mentioned above. · Evidence of scientific rigor and excellence as documented by peer-reviewed publications, strong trouble shooting skills · Strong team player with excellent 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-Monrovia", "summaryDescription" : "Postdoctoral Fellow - Hematological Malignancies Translational Science at City of Hope. 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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" : "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" : "6a0ca5931663d493720d26a2", "title" : "Postdoctoral Research Associate- Childhood Hematological Malignancies Training Program", "company" : "St. Jude", "industry" : "Hematological Malignancies Research", "location" : "Memphis, TN", "locations" : [ "Memphis, TN", "United States of America" ], "timestamp" : "2026-05-20T10:39:03.968", "fingerprint" : "eaa77d925ef75a2a82f7a471467e13d0c6ef6107caca9c1b01a64994b0ed0d3a", "source" : "workday", "language" : "en", "applyUrl" : "https://stjude.wd1.myworkdayjobs.com/stjude/job/Memphis-TN/Postdoctoral-Research-Associate--Childhood-Hematological-Malignancies-Training-Program_JR5990-2", "externalId" : "JR5990", "industryFunction" : { }, "locationPoint" : "40.45781,-92.17129", "structuredLocations" : [ { "city" : "Memphis", "state" : "Tennessee", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite" } ], "locationText" : "Memphis, Tennessee, United States", "employmentType" : "FULL_TIME", "minimumEducation" : "PhD, MD, DO, PharmD, DVM, or equivalent degree", "experienceMinYears" : 0, "experienceMaxYears" : 2, "experienceLevel" : "Entry", "technicalSkills" : "genomic analysis, experimental modeling, translational science, preclinical modeling", "professionalSkills" : [ "translational science", "preclinical modeling" ], "hardSkillsList" : [ "genomic analysis", "experimental modeling", "translational science", "preclinical modeling" ], "softSkillsList" : [ "communication skills" ], "hardSkills" : [ { "name" : "genomic analysis", "level" : "intermediate" }, { "name" : "experimental modeling", "level" : "intermediate" }, { "name" : "translational science", "level" : "intermediate" }, { "name" : "preclinical modeling", "level" : "intermediate" } ], "softSkills" : [ { "name" : "communication skills" } ], "majorSkills" : "genomic analysis, experimental modeling, translational science, preclinical modeling, childhood hematological malignancy research", "majorSkillsList" : [ "genomic analysis", "experimental modeling", "translational science", "preclinical modeling", "childhood hematological malignancy research" ], "coreResponsibilities" : "receive training in genomic analysis, experimental modeling, translational science, and preclinical modeling of childhood hematological malignancies, become leaders in childhood hematological malignancy research", "teamCollaboration" : "mentorship teams for each trainee consisting of scientific and clinical investigators; Trainees will be closely integrated with the rich portfolio of the St. Jude Comprehensive Cancer Center Hematological Malignancies Program", "domainKnowledge" : "Childhood Hematological Malignancies; genomic basis of tumors; clinical trial design in childhood hematological malignancies", "domainList" : [ "childhood-hematological-malignancies", "genomic-basis-of-tumors", "clinical-trial-design-in-childhood-hematological-malignancies" ], "domainSpecificKnowledge" : [ "Childhood Hematological Malignancies", "genomic basis of tumors", "clinical trial design in childhood hematological malignancies" ], "communicationSkills" : "communication skills", "continuousLearning" : "NIH-sponsored T32 training program; lecture series encompassing a spectrum of topics; professional development", "innovationCreativity" : "translate the wealth of genomic discoveries into new experimental models and therapeutic advances", "outcomesObjectives" : "lead independent research programs; address critical unmet needs in childhood hematological malignancies", "qualificationsBasic" : "PhD, MD, DO, PharmD, DVM, or equivalent degree in a relevant field at the time of appointment, U. S. Citizens, U. S. Noncitizen Nationals, or Permanent Residents at the time of appointment, communication skills, a solid publication record, a demonstrated commitment to research", "qualificationsPreferred" : "prospective postdocs or in the early stages of postdoctoral training (within 1–2 years of PhD conferral)", "remoteFriendly" : false, "workSiteFlexibility" : "No", "rawDescription" : "St. Jude is seeking outstanding candidates for postdoctoral fellowship positions in the Childhood Hematological Malignancies Training Program. This prestigious, NIH-sponsored T32 training program leverages the exceptional research infrastructure at St. Jude to train top-tier postdoctoral fellows with the necessary skills to lead independent research programs. Hematological malignancies are the most common childhood tumors, and despite remarkable advances in survival rates, they remain a leading cause of cancer death. The last decade has witnessed significant progress in understanding the genetic basis of these tumors, which now requires systematic efforts to translate the wealth of genomic discoveries into new experimental models and therapeutic advances. Postdoctoral fellows participating in the program will receive training in genomic analysis, experimental modeling, translational science, and preclinical modeling of childhood hematological malignancies. ## The training program will equip the next generation of scientists with the skills and knowledge from multiple disciplines to become leaders in childhood hematological malignancy research. The program provides an enriched training experience supported by faculty with diverse expertise, including mentorship teams for each trainee consisting of scientific and clinical investigators, a clinical shadowing program, and a lecture series encompassing a spectrum of topics ranging from genomic analysis to clinical trial design in childhood hematological malignancies. Trainees will be closely integrated with the rich portfolio of the St. Jude Comprehensive Cancer Center Hematological Malignancies Program, which coordinates the translation of basic science discoveries to clinical trials. The T32 training program will provide an unrivaled opportunity to train scientists to address critical unmet needs in childhood hematological malignancies. St. Jude offers highly competitive stipends and benefits and fosters professional development. **Eligibility** * Applicants should be prospective postdocs or in the early stages of postdoctoral training (within 1–2 years of PhD conferral). * Applicants must hold a PhD, MD, DO, PharmD, DVM, or equivalent degree in a relevant field at the time of appointment. * Applicants must be U.S. Citizens, U.S. Noncitizen Nationals, or Permanent Residents at the time of appointment. * Strong communication skills, a solid publication record, and a demonstrated commitment to research are required. ## [St. Jude is an Equal Opportunity Employer](https://www.stjude.org/jobs/hospital/workplace-policies.html) **No Search Firms** St. Jude Children's Research Hospital does not accept unsolicited assistance from search firms for employment opportunities. Please do not call or email. All resumes submitted by search firms to any employee or other representative at St. Jude via email, the internet or in any form and/or method without a valid written search agreement in place and approved by HR will result in no fee being paid in the event the candidate is hired by St. Jude.", "summaryDescription" : "Postdoctoral Research Associate- Childhood Hematological Malignancies Training Program at St. Jude. Skills: genomic analysis, experimental modeling, translational science, preclinical modeling, childhood hematological malignancy research. receive training in genomic analysis, experimental modeling, translational science, and preclinical modeling of childhood hematological malignancies. become leaders in childhood hematological malignancy research", "postedDate" : "2026-05-11T21:43:52.540", "createdAt" : "2026-05-19T21:43:52.524", "lastUpdated" : "2026-05-20T10:39:03.968", "ingestTimestamp" : "2026-05-19T21:43:52.524", "mongoId" : "6a0ca5931663d493720d26a2", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://stjude.wd1.myworkdayjobs.com/stjude/job/Memphis-TN/Postdoctoral-Research-Associate--Childhood-Hematological-Malignancies-Training-Program_JR5990-2", "hasSalary" : false, "allSkills" : [ "genomic analysis", "experimental modeling", "translational science", "preclinical modeling", "communication skills", "childhood hematological malignancy research", "Childhood Hematological Malignancies", "genomic basis of tumors", "clinical trial design in childhood hematological malignancies" ], "skillCount" : 9, "jobCategory" : "other", "seniorityLevel" : "executive", "dataQualityScore" : 0.8888889, "daysOld" : 8, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "Hematological Malignancies Research" }, { "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" : "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" : "6a30508ef292fd229cef1ebf", "title" : "Management Training Program", "company" : "Express Oil Change & Tire Engineers", "industry" : "Automotive", "salary" : { "min" : 55000.0, "max" : 85000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "The estimation is based on the market baseline for a Manager in the Automotive industry in Kernersville, United States, with adjustments for seniority and company size." }, "location" : "Kernersville, North Carolina, United States", "locations" : [ "Kernersville", "North Carolina", "United States" ], "timestamp" : "2026-06-16T05:51:47.142", "fingerprint" : "7bd519199b29a6567f30de34d92aa860837fb61affb3a84c6d37f37e40c2b5b2", "source" : "smartrecruiters", "language" : "en", "applyUrl" : "https://jobs.smartrecruiters.com/EOCTEBP/744000132192000-management-training-program", "externalId" : "744000132192000", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Kernersville", "state" : "North Carolina", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "36.1198589,-80.0736533" } ], "locationText" : "Kernersville, North Carolina, United States", "employmentType" : "FULL_TIME", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "mid", "professionalSkills" : [ "Management skills", "Customer service" ], "majorSkills" : "Sales experience, Management experience", "majorSkillsList" : [ "Sales experience", "Management experience" ], "coreResponsibilities" : "Create results for customers, Create results for teammates, Create results for the company, Ensure customers are greeted courteously, Provide high level of customer service, Schedule service appointments, Answer questions in person, Answer questions on the telephone, Consult customers on service needs, Keep customers updated on vehicle progress, Provide customer with positive experience, Meet company's high level expectations, Maintain company's high level expectations, Exceed company's high level expectations, Involve in store operation aspects, Communicate accurately to teammates, Communicate accurately to technicians, Establish time commitments, Take on additional duties", "teamCollaboration" : "Communicate accurately to teammates; Communicate accurately to technicians", "domainKnowledge" : "Automotive maintenance", "domainList" : [ "automotive-maintenance" ], "domainSpecificKnowledge" : [ "Automotive maintenance" ], "communicationSkills" : "Interpersonal skills", "continuousLearning" : "Accelerated leadership development track", "specialRequirements" : "Prolonged periods of standing, Stooping, Bending, Exerting 50-100 lbs force, Exerting 10-25 lbs force, Exerting greater than 10 lbs force, Move objects, Working at production rate pace, Pushing materials, Pulling materials", "outcomesObjectives" : "Create results for customers; Create results for teammates; Create results for the company", "qualificationsBasic" : "High level of motivation, Hands-on management skills, Top-notch customer service skills, Desire to build long term trust, Effective communication skills, Interpersonal skills", "qualificationsPreferred" : "Automotive experience", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Express Oil Change & Tire Engineers is the pre-eminent automotive maintenance provider in the nation with over 350 locations across 21 states, leading our industry through excellence, innovation, and growth. Don’t let our name fool you, in addition to our fast oil change bays, our locations can be your one-stop shop with certified technicians providing a variety of mechanical services, as well as tire services. At Express Oil Change & Tire Engineers, we are actively seeking top level, hands-on management candidates with a desire to grow into key leadership roles. As a Manager in Training, candidates will complete all levels of training while serving customers and learning all aspects of the Store and the Company. Our Management Training Program offers significant management and sales experience coupled with the opportunity to work for the pre-eminent automotive maintenance provider leading our industry through excellence, innovation, and growth. We encourage those interested in learning to truly manage a business as part of our accelerated leadership development track to apply today. Responsibilities include (but are not limited to): * Consistently creating results for customers, teammates and the company * Responsible for ensuring the customers are greeted courteously and receive a high level of customer service * Scheduling service appointments and answering questions in person and on the telephone * Consulting customers on their service needs and keeping customers updated on the progress of their vehicles * Providing the customer with a positive experience * Ensuring our company’s high level of expectations are met, maintained, and exceeded * Involvement in every aspect of the store operation * Communicating accurately to teammates and technicians to establish time commitments that meet our standards and those of our customers * Ability to step in when necessary to take on additional duties ## Qualifications We are looking for: * High level of motivation with hands-on management skills * Top-notch customer service skills with a desire to build long term trust and relationships with our customers * Effective communication and interpersonal skills * Automotive experience helpful but not required ## Additional Information All information will be kept confidential according to EEO guidelines. Physical Requirements: * Prolonged periods of standing, stooping, and bending * At time, exerting 50 - 100 lbs of force occasionally and/or 10 - 25 lbs of force frequently and/or greater than 10 lbs of force constantly to move objects * Requires working at a production rate pace entailing the constant pushing and/or pulling of materials By completing this application, you are agreeing that you are able to meet the physical requirements listed for this role.", "summaryDescription" : "Management Training Program at Express Oil Change & Tire Engineers. Skills: Sales experience, Management experience. Create results for customers. Create results for teammates", "postedDate" : "2026-06-15T12:41:48.000", "createdAt" : "2026-06-15T21:49:56.457", "lastUpdated" : "2026-06-16T05:51:47.142", "ingestTimestamp" : "2026-06-15T21:49:56.457", "mongoId" : "6a30508ef292fd229cef1ebf", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 55000, "salaryAnnualMax" : 85000, "salaryBand" : "50k-75k", "hasSalary" : true, "allSkills" : [ "Sales experience", "Management experience", "Management skills", "Customer service", "Automotive maintenance" ], "skillCount" : 5, "jobCategory" : "sales", "jobSubcategory" : "revenue", "seniorityLevel" : "Manager", "dataQualityScore" : 1.0, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Automotive", "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. 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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. 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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" : "6a3066d2f292fd229cfb6106", "title" : "Senior Associate, Training", "company" : "Housecall Pro", "industry" : "SaaS", "salary" : { "min" : 95000.0, "max" : 135000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline data for a Senior Associate, Training in the SaaS industry in the United States, adjusted for mid-level seniority and remote work." }, "location" : "United States", "locations" : [ "United States" ], "timestamp" : "2026-06-16T08:12:47.660", "fingerprint" : "f7c03d2f1d2ac0a959580e0a37aa95d7eef892018e54e87774bfd842556b87ef", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://www.housecallpro.com/careers/open-positions/?gh_jid=6031104004", "externalId" : "6031104004", "industryFunction" : { }, "structuredLocations" : [ { "country" : "United States", "continent" : "na", "workMode" : "remote" } ], "locationText" : "United States", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "remoteFriendly" : true, "workSiteFlexibility" : "Remote", "rawDescription" : "Why Housecall Pro? Help us build solutions that build better lives. At Housecall Pro, we show up to work every day to make a difference for real people: the home service professionals that support America’s 100 million homes. We’re all about the Pro, and dedicate our days to helping them streamline operations, scale their businesses, and—ultimately—save time so they can be with their families and live well. While our headquarters are based in Denver, Colorado, our team spans the globe, with teammates across Brazil, Poland, the Philippines, Mexico, and beyond. We care deeply about our customers and foster a culture where our company, people and Pros grow and succeed together—no matter where they’re based. Leadership is as focused on growing team members’ careers as they expect their teams to be on creating solutions for Pros. We also offer: A generous benefits program that supports the whole you with medical, dental, vision, life, disability, and 401(k) Paid holidays and flexible, take-it-as-you-need-it paid time off Monthly tech reimbursements A culture built on innovation that values big ideas, no matter where they come from Equity in a rapidly growing startup backed by top-tier VCs Role Overview As a Senior Associate, Training, you are responsible for not only facilitating training, but also developing training for our teams. You are a top performer in your current role. You are a great communicator who is comfortable taking on complex projects while working independently. You bring an analytical mind to constantly improve the efficiency and efficacy of your projects. You think creatively to build and improve upon processes and think your way through obstacles and challenges in order to come up with solutions. You’re curious, hard working, and willing to go the extra mile to get the job done the right way every time. Our team is passionate, empathetic, hard working, and above all else focused on improving the lives of our service professionals (our Pros). Our success is their success. What you do each day: Facilitate training for employees across the business Collect and analyze survey and effectiveness data Work cross-collaboratively with team members and leadership across the organization Execute administrative tasks, scheduling, and orchestrating training across the organization Identify training needs and schedule appropriate training sessions for employees Design and develop training materials Collaborate with management to continuously maintain and develop training curriculum to improve and evolve our programs as we grow and scale the business Lead proactive, transparent discussions and collaborate with stakeholders when the performance of a rep deviates from expectations Additional duties and tasks may be assigned as the Enablement Department scales and evolves Qualifications: 2+ years of experience in training, facilitation, or employee development Experience with training tools and platforms (i.e., Learning Management Systems, Zoom, PowerPoint) Bachelor’s degree in Education, Human Resources, or equivalent work experience Proven ability to deliver engaging and effective training sessions What will help you succeed: Ability to learn, adapt, and change direction quickly Ability to take feedback and immediately apply it Demonstrated ability to leverage AI tools to improve workflows, streamline execution, or enhance outputs Analytical problem-solver who takes a self-driven approach to solving problems they encounter Manages and delivers upon multiple priorities, timelines, and deadlines Excellent reading/writing comprehension, presentation, and facilitation skills Ability to stay motivated, patient, and consistent for extended periods Strong attention to detail This role is open to candidates and the expected salary for this role is $74,000-$78,000.The specific salary for the successful candidate will be determined based on permissible, non-discriminatory factors such as skills, experience, and geographic location. This role is also eligible to participate in Housecall Pro’s equity plan and the following benefits: health care insurance (medical, dental, vision, disability), employee assistance program, 401(K), flexible time off, paid parental leave, tech reimbursement, and other company benefits. Housecall Pro is growing fast and we’re scaling our team to help enable and accelerate our growth. Use of Artificial Intelligence in Hiring and Engagement Processes: We may use artificial intelligence (AI)-powered tools to support the review and evaluation of employment and independent contractor applications, including screening and qualification assessments. All final hiring and engagement decisions are made by human representatives, not AI tools. Founded in 2013, Housecall Pro helps home service professionals (Pros) streamline every aspect of their business. With easy-to-use tools for scheduling, dispatching, payments, and more, Housecall Pro enables Pros to save time, grow profitably, and provide best-in-class service. Housecall Pro’s brand portfolio includes Business Coaching by Housecall Pro, a business coaching solution for home services businesses. Our brands are united by a singular mission to champion our Pros to success. We support more than 50,000 businesses and have over 2,000 ambitious, mission-driven, genuinely fun-loving teammates across the globe. If you want to do work that impacts real people, supported by a team that will invest in you every step of the way, we’d love to hear from you. Housecall Pro celebrates diversity and we are committed to creating an inclusive environment. We are an equal opportunity employer and do not discriminate on the basis of gender, race, religion, national origin, ethnicity, disability, gender identity/expression, sexual orientation, veteran or military status, or any other category protected under the law. #LI-Remote Privacy Notice for California Job Candidates - Housecall Pro", "summaryDescription" : "Senior Associate, Training at Housecall Pro", "postedDate" : "2026-06-15T23:28:07.003", "createdAt" : "2026-06-15T23:28:07.003", "lastUpdated" : "2026-06-16T08:12:47.660", "ingestTimestamp" : "2026-06-15T23:28:07.003", "mongoId" : "6a3066d2f292fd229cfb6106", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 95000, "salaryAnnualMax" : 135000, "salaryBand" : "75k-100k", "hasSalary" : true, "allSkills" : [ ], "skillCount" : 0, "jobCategory" : "operations", "jobSubcategory" : "hr", "seniorityLevel" : "Mid", "dataQualityScore" : 0.7777778, "daysOld" : 0, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "SaaS", "llmIndustryConfidence" : 0.95 }, { "id" : "6a30936af292fd229c0c616f", "title" : "NEST Training & Exercise Program Lead", "company" : "LLNL", "industry" : "Research", "salary" : { "min" : 175000.0, "max" : 250000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Lead NEST Training & Exercise Program Lead in Livermore, United States, adjusted for industry and company size." }, "location" : "Livermore, CA, United States", "locations" : [ "Livermore", "CA", "United States" ], "timestamp" : "2026-06-16T13:22:38.800", "fingerprint" : "15e82a50e501e25546068bb2889bf57db52fb8d05832152a4c9a581777dc9bb0", "source" : "smartrecruiters", "language" : "en", "applyUrl" : "https://jobs.smartrecruiters.com/LLNL/3743990013633066-nest-training-exercise-program-lead-active-clearance-required", "externalId" : "3743990013633066", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Livermore", "state" : "California", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "37.6820583,-121.7680530" } ], "locationText" : "Livermore, California, United States", "employmentType" : "FULL_TIME", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "mid", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Join us and make YOUR mark on the World! Lawrence Livermore National Laboratory (LLNL) has turned bold ideas into world-changing impact advancing science and technology to strengthen U.S. security and promote global stability. Our mission spans four critical national security areas nuclear deterrence, threat preparedness, energy security, and multi-domain defense empowering teams to take on the toughest challenges of today and tomorrow. With a culture built on innovation and operational excellence, LLNL is a place where your expertise can make a real impact. We have an opening for a Nuclear Emergency Support Team (NEST) Training & Exercise Program Lead supporting the NEST within the N Program of the Global Security (GS) Directorate. This role serves as a senior technical and programmatic leader responsible for the strategy, development, integration, and execution of NEST training and exercise programs at LLNL. You will lead the design and delivery of high-fidelity, mission-driven training systems that support national-level nuclear emergency response operations. The scope includes coordination across multidisciplinary technical teams and collaboration with interagency partners to ensure training effectiveness, operational readiness, and alignment with mission requirements. This position is within the National Security Engineering Division (NSED) in the Engineering Directorate. This position requires full-time on-site presence due to the nature of the work. This position will be filled at either level based on knowledge and related experience as assessed by the hiring team. Additional job responsibilities (outlined below) will be assigned if hired at the higher level. In this role, you will * Lead the planning, integration, and execution of NEST training and exercise programs, including complex multi-agency activities supporting Device Response (DR) operations. * Develop and implement realistic operational scenarios, training plans, and performance metrics to evaluate readiness and mission effectiveness. * Coordinate with LLNL organizations and external partners (e.g., NNSA, DoD, DoJ) to align training objectives, requirements, and execution strategies. * Provide technical leadership and guidance to multidisciplinary teams in the design, development, and deployment of training systems, simulation environments, and operational tools. * Oversee the lifecycle of training programs, including concept development, design, execution, and continuous improvement. * Ensure training activities comply with safety, security, and classification requirements while supporting operational objectives. * Represent LLNL in interactions with internal leadership and external stakeholders on training-related initiatives and activities. * Analyze training outcomes and operational feedback to refine approaches, improve performance, and support mission readiness. * Perform other duties as assigned. Additional job responsibilities, at the SES.4 level * Establish and drive long-term strategy, priorities, and vision for NEST training and exercise programs aligned with national mission requirements. * Serve as the primary LLNL authority and recognized subject matter expert for NEST training with interagency partners and senior stakeholders. * Direct and lead multidisciplinary technical team, including responsibility for work planning, task assignment, and performance oversight. * Influence program direction, resource allocation, and integration of new capabilities to enhance training effectiveness and operational impact. ## Qualifications * This position requires an active Department of Energy (DOE) Q-level clearance or active Top Secret clearance issued by another U.S. government agency at the time of hire. * Bachelor’s degree in engineering, physical sciences, or related field, or the equivalent combination of education and related experience. * Advanced knowledge of training program development, execution, and evaluation within complex technical or operational environments. * Significant experience planning, coordinating, and executing complex programs or exercises involving multiple stakeholders. * Experience working with multidisciplinary teams to integrate technical systems, engineering solutions, or operational capabilities. * Demonstrated ability to work independently with minimal direction, applying judgment to determine methods and approaches to achieve objectives. * Advanced verbal and written communication skills necessary to collaborate with technical teams and present information and provide advice to management. Additional qualifications at the SES.4 level * Subject matter expert knowledge of training systems, program development, or nuclear emergency response operations with demonstrated impact on organizational objectives. * Demonstrated ability to operate under consultative direction, establishing program objectives, strategy, and priorities with significant autonomy. * Experience leading and directing multidisciplinary technical teams and influencing programmatic direction across organizations. Qualifications We Desire * Experience supporting NNSA nuclear emergency response or national security programs. * Experience working with interagency partners (e.g., DOE, DoD, DoJ). * Experience developing high-fidelity simulation systems, training environments, or operational scenarios. * Advanced degree (Master’s or PhD) in engineering, physical sciences, or related field. Pay Range $175,530 - $267,060 Annually $175,530 - $222,564 Annually for the SES.3 level $210,630 - $267,060 Annually for the SES.4 level This is the lowest to highest salary we in good faith believe we would pay for this role at the time of this posting. An employee’s position within the salary range will be based on several factors including, but not limited to, specific competencies, relevant education, qualifications, certifications, experience, skills, seniority, geographic location, performance, and business or organizational needs. ## Additional Information #LI-Onsite Position Information This is a Career Indefinite position, open to Lab employees and external candidates. Why Lawrence Livermore National Laboratory? * Included in 2026 Best Places to Work by Glassdoor! * Flexible [Benefits Package](https://www.llnl.gov/join-our-team/culture/benefits) * 401(k) * Relocation Assistance * Education Reimbursement Program Flexible schedules (depending on project needs) * Our values - visit [https://www.llnl.gov/inclusion/our-values](https://www.llnl.gov/diversity/our-values) Security Clearance This position requires an active Department of Energy (DOE) Q-level clearance or active Top Secret clearance issued by another U.S. government agency at time of hire. Pre-Employment Drug Test External applicant(s) selected for this position must pass a post-offer, pre-employment drug test. This includes testing for use of marijuana as Federal Law applies to us as a Federal Contractor. Wireless and Medical Devices Per the Department of Energy (DOE), Lawrence Livermore National Laboratory must meet certain restrictions with the use and/or possession of mobile devices in Limited Areas. Depending on your job duties, you may be required to work in a Limited Area where you are not permitted to have a personal and/or laboratory mobile device in your possession. This includes, but not limited to cell phones, tablets, fitness devices, wireless headphones, and other Bluetooth/wireless enabled devices. If you use a medical device, which pairs with a mobile device, you must still follow the rules concerning the mobile device in individual sections within Limited Areas. Sensitive Compartmented Information Facilities require separate approval. Hearing aids without wireless capabilities or wireless that has been disabled are allowed in Limited Areas, Secure Space and Transit/Buffer Space within buildings. How to identify fake job advertisements Please be aware of recruitment scams where people or entities are misusing the name of Lawrence Livermore National Laboratory (LLNL) to post fake job advertisements. LLNL never extends an offer without a personal interview and will never charge a fee for joining our company. All current job openings are displayed on the Career Page under “Find Your Job” of our website. If you have encountered a job posting or have been approached with a job offer that you suspect may be fraudulent, we strongly recommend you do not respond. To learn more about recruitment scams: Equal Employment Opportunity We are an equal opportunity employer that is committed to providing all with a work environment free of discrimination and harassment. All qualified applicants will receive consideration for employment without regard to race, color, religion, marital status, national origin, ancestry, sex, sexual orientation, gender identity, disability, medical condition, pregnancy, protected veteran status, age, citizenship, or any other characteristic protected by applicable laws. Reasonable Accommodation Our goal is to create an accessible and inclusive experience for all candidates applying and interviewing at the Laboratory. If you need a reasonable accommodation during the application or the recruiting process, please use our [online form](https://www.llnl.gov/join-our-team/careers/accessibility) to submit a request. California Privacy Notice The California Consumer Privacy Act (CCPA) grants privacy rights to all California residents. The law also entitles job applicants, employees, and non-employee workers to be notified of what personal information LLNL collects and for what purpose. The Employee Privacy Notice can be accessed [here](https://www.llnl.gov/join-our-team/careers/privacy-statement).", "summaryDescription" : "NEST Training & Exercise Program Lead at LLNL", "postedDate" : "2026-06-15T22:59:49.000", "createdAt" : "2026-06-16T03:35:00.800", "lastUpdated" : "2026-06-16T13:22:38.800", "ingestTimestamp" : "2026-06-16T03:35:00.800", "mongoId" : "6a30936af292fd229c0c616f", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 175000, "salaryAnnualMax" : 250000, "salaryBand" : "150k-200k", "hasSalary" : true, "allSkills" : [ ], "skillCount" : 0, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Lead", "dataQualityScore" : 0.8888889, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Government", "llmIndustryConfidence" : 0.95 }, { "id" : "6a309f2af292fd229c1089aa", "title" : "NEST Training & Exercise Program Lead", "company" : "LLNL", "industry" : "Research", "salary" : { "min" : 165000.0, "max" : 220000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Lead NEST Training & Exercise Program Lead in Livermore, United States, adjusted for LLNL's industry and company size." }, "location" : "Livermore, CA, United States", "locations" : [ "Livermore", "CA", "United States" ], "timestamp" : "2026-06-16T14:49:47.650", "fingerprint" : "ee5ac761578a678b297220d4ebfa4df591c78e54cd29fd8df3c8f7e58e3ea185", "source" : "smartrecruiters", "language" : "en", "applyUrl" : "https://jobs.smartrecruiters.com/LLNL/3743990013633066-nest-training-exercise-program-lead-active-clearance-required", "externalId" : "3743990013633066", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Livermore", "state" : "California", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "37.6820583,-121.7680530" } ], "locationText" : "Livermore, California, United States", "employmentType" : "FULL_TIME", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "mid", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Join us and make YOUR mark on the World! Lawrence Livermore National Laboratory (LLNL) has turned bold ideas into world-changing impact advancing science and technology to strengthen U.S. security and promote global stability. Our mission spans four critical national security areas nuclear deterrence, threat preparedness, energy security, and multi-domain defense empowering teams to take on the toughest challenges of today and tomorrow. With a culture built on innovation and operational excellence, LLNL is a place where your expertise can make a real impact. We have an opening for a Nuclear Emergency Support Team (NEST) Training & Exercise Program Lead supporting the NEST within the N Program of the Global Security (GS) Directorate. This role serves as a senior technical and programmatic leader responsible for the strategy, development, integration, and execution of NEST training and exercise programs at LLNL. You will lead the design and delivery of high-fidelity, mission-driven training systems that support national-level nuclear emergency response operations. The scope includes coordination across multidisciplinary technical teams and collaboration with interagency partners to ensure training effectiveness, operational readiness, and alignment with mission requirements. This position is within the National Security Engineering Division (NSED) in the Engineering Directorate. This position requires full-time on-site presence due to the nature of the work. This position will be filled at either level based on knowledge and related experience as assessed by the hiring team. Additional job responsibilities (outlined below) will be assigned if hired at the higher level. In this role, you will * Lead the planning, integration, and execution of NEST training and exercise programs, including complex multi-agency activities supporting Device Response (DR) operations. * Develop and implement realistic operational scenarios, training plans, and performance metrics to evaluate readiness and mission effectiveness. * Coordinate with LLNL organizations and external partners (e.g., NNSA, DoD, DoJ) to align training objectives, requirements, and execution strategies. * Provide technical leadership and guidance to multidisciplinary teams in the design, development, and deployment of training systems, simulation environments, and operational tools. * Oversee the lifecycle of training programs, including concept development, design, execution, and continuous improvement. * Ensure training activities comply with safety, security, and classification requirements while supporting operational objectives. * Represent LLNL in interactions with internal leadership and external stakeholders on training-related initiatives and activities. * Analyze training outcomes and operational feedback to refine approaches, improve performance, and support mission readiness. * Perform other duties as assigned. Additional job responsibilities, at the SES.4 level * Establish and drive long-term strategy, priorities, and vision for NEST training and exercise programs aligned with national mission requirements. * Serve as the primary LLNL authority and recognized subject matter expert for NEST training with interagency partners and senior stakeholders. * Direct and lead multidisciplinary technical team, including responsibility for work planning, task assignment, and performance oversight. * Influence program direction, resource allocation, and integration of new capabilities to enhance training effectiveness and operational impact. ## Qualifications * This position requires an active Department of Energy (DOE) Q-level clearance or active Top Secret clearance issued by another U.S. government agency at the time of hire. * Bachelor’s degree in engineering, physical sciences, or related field, or the equivalent combination of education and related experience. * Advanced knowledge of training program development, execution, and evaluation within complex technical or operational environments. * Significant experience planning, coordinating, and executing complex programs or exercises involving multiple stakeholders. * Experience working with multidisciplinary teams to integrate technical systems, engineering solutions, or operational capabilities. * Demonstrated ability to work independently with minimal direction, applying judgment to determine methods and approaches to achieve objectives. * Advanced verbal and written communication skills necessary to collaborate with technical teams and present information and provide advice to management. Additional qualifications at the SES.4 level * Subject matter expert knowledge of training systems, program development, or nuclear emergency response operations with demonstrated impact on organizational objectives. * Demonstrated ability to operate under consultative direction, establishing program objectives, strategy, and priorities with significant autonomy. * Experience leading and directing multidisciplinary technical teams and influencing programmatic direction across organizations. Qualifications We Desire * Experience supporting NNSA nuclear emergency response or national security programs. * Experience working with interagency partners (e.g., DOE, DoD, DoJ). * Experience developing high-fidelity simulation systems, training environments, or operational scenarios. * Advanced degree (Master’s or PhD) in engineering, physical sciences, or related field. Pay Range $175,530 - $267,060 Annually $175,530 - $222,564 Annually for the SES.3 level $210,630 - $267,060 Annually for the SES.4 level This is the lowest to highest salary we in good faith believe we would pay for this role at the time of this posting. An employee’s position within the salary range will be based on several factors including, but not limited to, specific competencies, relevant education, qualifications, certifications, experience, skills, seniority, geographic location, performance, and business or organizational needs. ## Additional Information #LI-Onsite Position Information This is a Career Indefinite position, open to Lab employees and external candidates. Why Lawrence Livermore National Laboratory? * Included in 2026 Best Places to Work by Glassdoor! * Flexible [Benefits Package](https://www.llnl.gov/join-our-team/culture/benefits) * 401(k) * Relocation Assistance * Education Reimbursement Program Flexible schedules (depending on project needs) * Our values - visit [https://www.llnl.gov/inclusion/our-values](https://www.llnl.gov/diversity/our-values) Security Clearance This position requires an active Department of Energy (DOE) Q-level clearance or active Top Secret clearance issued by another U.S. government agency at time of hire. Pre-Employment Drug Test External applicant(s) selected for this position must pass a post-offer, pre-employment drug test. This includes testing for use of marijuana as Federal Law applies to us as a Federal Contractor. Wireless and Medical Devices Per the Department of Energy (DOE), Lawrence Livermore National Laboratory must meet certain restrictions with the use and/or possession of mobile devices in Limited Areas. Depending on your job duties, you may be required to work in a Limited Area where you are not permitted to have a personal and/or laboratory mobile device in your possession. This includes, but not limited to cell phones, tablets, fitness devices, wireless headphones, and other Bluetooth/wireless enabled devices. If you use a medical device, which pairs with a mobile device, you must still follow the rules concerning the mobile device in individual sections within Limited Areas. Sensitive Compartmented Information Facilities require separate approval. Hearing aids without wireless capabilities or wireless that has been disabled are allowed in Limited Areas, Secure Space and Transit/Buffer Space within buildings. How to identify fake job advertisements Please be aware of recruitment scams where people or entities are misusing the name of Lawrence Livermore National Laboratory (LLNL) to post fake job advertisements. LLNL never extends an offer without a personal interview and will never charge a fee for joining our company. All current job openings are displayed on the Career Page under “Find Your Job” of our website. If you have encountered a job posting or have been approached with a job offer that you suspect may be fraudulent, we strongly recommend you do not respond. To learn more about recruitment scams: Equal Employment Opportunity We are an equal opportunity employer that is committed to providing all with a work environment free of discrimination and harassment. All qualified applicants will receive consideration for employment without regard to race, color, religion, marital status, national origin, ancestry, sex, sexual orientation, gender identity, disability, medical condition, pregnancy, protected veteran status, age, citizenship, or any other characteristic protected by applicable laws. Reasonable Accommodation Our goal is to create an accessible and inclusive experience for all candidates applying and interviewing at the Laboratory. If you need a reasonable accommodation during the application or the recruiting process, please use our [online form](https://www.llnl.gov/join-our-team/careers/accessibility) to submit a request. California Privacy Notice The California Consumer Privacy Act (CCPA) grants privacy rights to all California residents. The law also entitles job applicants, employees, and non-employee workers to be notified of what personal information LLNL collects and for what purpose. The Employee Privacy Notice can be accessed [here](https://www.llnl.gov/join-our-team/careers/privacy-statement).", "summaryDescription" : "NEST Training & Exercise Program Lead at LLNL", "postedDate" : "2026-06-15T22:59:49.000", "createdAt" : "2026-06-16T03:33:27.732", "lastUpdated" : "2026-06-16T14:49:47.650", "ingestTimestamp" : "2026-06-16T03:33:27.732", "mongoId" : "6a309f2af292fd229c1089aa", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 165000, "salaryAnnualMax" : 220000, "salaryBand" : "150k-200k", "hasSalary" : true, "allSkills" : [ ], "skillCount" : 0, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Lead", "dataQualityScore" : 0.8888889, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Government", "llmIndustryConfidence" : 0.95 }, { "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" : "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. 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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. 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AmaliTech provides employment pathways in the tech sector to young graduates in Sub-Saharan Africa, connecting them to the global demand for tech talent. Our approach combines training with employment and continuous learning because evidence shows that only this integrated approach works. By focusing on skilled IT services, we contribute to ecosystem development and the emergence of a future-proof industry with growth engine potential. With headquarters in Germany, we have over 400 strong team members based in Ghana (Takoradi, Kumasi and Accra) and Rwanda (Kigali). Are you a STEM graduate in Ghana looking to further your career in cloud computing? The AWS Associate Program offers a unique opportunity to gain the technical skills and professional guidance needed to excel in the global tech industry. 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Talk to the Talent Acquisition Team Potential applicants are encouraged to contact the Recruitment Team for clarification. * E-mail: [recruitment@amalitech.com](mailto:recruitment@amalitech.com) * Phone: 0593878161 or 0501619835 Documents To Submit * Current CV in PDF (required) * AWS Cloud Practitioner Certificate in PDF (required) * National ID card in PDF (required)", "summaryDescription" : "AmaliTech AWS Associate Certification Training Program (Solutions Architect Track) at AmaliTech. Skills: AWS Solutions Architect, Cloud computing. Design secure systems. 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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" : "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. 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Cross-functionally with Product; Cross-functionally with Engineering; Cross-functionally with Operations; With researchers; With stakeholders; With technical teams", "projectManagementSkills" : [ "Program management", "Roadmap planning", "Intake processes", "Scoping processes", "Prioritization", "Execution", "Agile methodologies", "Workflow management" ], "domainKnowledge" : "Human subjects research; Decentralized research; Data collection infrastructure; AI tools", "domainList" : [ "human-subjects-research", "decentralized-research", "data-collection-infrastructure", "ai-tools" ], "domainSpecificKnowledge" : [ "Human subjects research", "Decentralized research", "Data collection infrastructure", "AI tools" ], "toolProficiency" : [ "Jira", "Workflow management systems" ], "communicationSkills" : "Stakeholder management", "documentationSkills" : "SOPs", "problemSolvingSkills" : "Analytical skills; Operational skills; Data-driven decision-making", "outcomesObjectives" : "Increase efficiency; Increase impact", "qualificationsBasic" : "3+ years Program Management, 3+ years Project Management, Manage intake, Manage prioritization, Manage roadmap planning, Manage execution, Build operational processes, Scale operational processes, Build workflows, Scale workflows, Build SOPs, Scale SOPs, Work with technical teams, Manage dependencies", "qualificationsPreferred" : "Research environment experience, Technical product experience, Data environment experience, Operations-focused experience, Experience supporting human subjects research, Experience supporting decentralized research operations, Experience supporting data collection infrastructure", "workSiteFlexibility" : "Onsite", "rawDescription" : "WHOOP is on a mission to unlock human performance and healthspan. This role sits at the center of that mission, ensuring our executives operate at maximum leverage. You will go beyond traditional administrative support by building systems, using AI tools, and proactively driving execution across priorities. RESPONSIBILITIES: - - Own and maintain the program roadmap for decentralized data collection initiatives, partnering with researchers and stakeholders to align priorities, balance team capacity, and establish realistic timelines - Lead intake and scoping processes for new requests by partnering with researchers and stakeholders to define requirements, assess feasibility, and determine appropriate timing and scope - Ensure decentralized data collection planning incorporates applicable regulatory and compliance timelines, including IRB review and approval milestones where applicable - Manage and prioritize incoming requests with a clear understanding of team bandwidth and operational constraints, making thoughtful trade-offs across scope, timing, and prioritization - Build and maintain scalable intake workflows, SOPs, tracking systems, and operational processes that support efficient and repeatable research execution - Ensure data collection initiatives are planned and executed without overextending technical systems or operational capacity, proactively identifying risks and driving mitigation strategies - Own and manage internal tooling that supports decentralized data collection operations, partnering closely with technical teams to enable, monitor, and improve system usage - Collaborate cross-functionally with Research, Product, Engineering, and Operations teams to align priorities, surface dependencies early, and support smooth execution across initiatives - Use program metrics, operational insights, and performance indicators to improve prioritization frameworks, optimize processes, and increase the overall efficiency and impact of distributed research efforts QUALIFICATIONS: - - 3+ years of experience in a Program Management or Project Management role, preferably within a research, technical product, data, or operations-focused environment - Demonstrated experience managing intake, prioritization, roadmap planning, and execution across multiple stakeholders and competing priorities - Proven ability to translate ambiguous or evolving requests into clearly defined scope, timelines, and actionable execution plans - Experience building and scaling operational processes, workflows, and SOPs in fast-paced, evolving environments - Familiarity with Agile methodologies and project management tools such as Jira or similar workflow management systems - Comfort working closely with technical teams and managing dependencies involving internal tooling, data systems, or operational infrastructure - Strong analytical, operational, and data-driven decision-making skills - Excellent communication, organizational, and stakeholder management skills with the ability to drive alignment across cross-functional teams - Experience supporting human subjects research, decentralized research operations, or data collection infrastructure is a plus - Passion for health, wellness, and WHOOP’s mission to unlock human performance and healthspan - Strong commitment to embracing and leveraging AI tools in day-to-day tasks, ensuring AI-assisted work aligns with the same high-quality standards as personal contributions. This role is based in the WHOOP office located in Boston, MA. The successful candidate must be prepared to relocate if necessary to work out of the Boston, MA office. Interested in the role, but don’t meet every qualification? We encourage you to still apply! At WHOOP, we believe there is much more to a candidate than what is written on paper, and we value character as much as experience. As we continue to build a diverse and inclusive environment, we encourage anyone who is interested in this role to apply. WHOOP is an Equal Opportunity Employer and participates in E-verify https://www.e-verify.gov/ to determine employment eligibility. It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability. The WHOOP compensation philosophy is designed to attract, motivate, and retain exceptional talent by offering competitive base salaries, meaningful equity, and consistent pay practices that reflect our mission and core values. At WHOOP, we view total compensation as the combination of base salary, equity, and benefits, with equity serving as a key differentiator that aligns our employees with the long-term success of the company and allows every member of our corporate team to own part of WHOOP and share in the company’s long-term growth and success. The U.S. base salary range for this full-time position is $90,000 - $130,000. Salary ranges are determined by role, level, and location. Within each range, individual pay is based on factors such as job-related skills, experience, performance, and relevant education or training. In addition to the base salary, the successful candidate will also receive benefits and a generous equity package. These ranges may be modified in the future to reflect evolving market conditions and organizational needs. While most offers will typically fall toward the starting point of the range, total compensation will depend on the candidate’s specific qualifications, expertise, and alignment with the role’s requirements. ", "summaryDescription" : "Research Program Manager, Distributed Research at WHOOP. Skills: Program management, Roadmap planning, Process scaling, Stakeholder alignment. Own program roadmap. 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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 . 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Nurture growth. Shape young lives. As a part-time early childhood teacher at Gallup’s Child Development Center (CDC), you will teach Gallup associates’ young children in a fun educational environment. In our play-based classrooms, indoor water room, indoor gyms and outdoor playground, you will create engaging activities that cultivate a love for learning and social development for each child. If helping young children learn and grow is exciting to you, apply for Gallup’s part-time teaching opportunity today! For an inside peek at what it’s like to work at the Child Development Center, watch our video. What You’ll Do Grow your teaching skills in a supportive, strengths-based environment Work with a team of experienced teachers to support program philosophy Observe behaviors, plan activities and facilitate learning for young children Interview and collaborate with world-class teachers about milestone development, classroom management, parent communication and developmentally appropriate practices Access professional books and curriculum materials Learn about strengths spotting in young children and foster their development in areas where they uniquely shine Who We Want Passionate teachers who nurture young children’s curiosity and inspire them to learn and grow Relationship builders who make positive connections with children, parents and other teachers Innovative thinkers who enjoy creating a fun and inspiring environment Confident communicators who easily engage in conversations with children and are excited to update parents on their child’s day Empathetic caretakers who create comfort and trust with their warm, friendly personality What You Need Must be at least 18 years old and have a high school diploma A passion for working with children ages 8 weeks to 5 years required Ability to lift up to 35 pounds required A commitment to working on-site at Gallup’s Omaha office at least four days a week within the hours of 3-6 p.m., Monday-Friday, required; schedule is flexible, but must work at least 10 hours per week Eligibility to work in the U. S. required; this position is not eligible for employment visa sponsorship What You’ll Experience Mission-driven work: Make a difference in young children’s lives with your unique contributions, commitment to service and exceptional outcomes. An empowering culture:Collaborate with smart, passionate people who love what they do and welcome your ideas, perspectives and experiences. Learning and development: Grow in your career as we encourage curiosity and invest in what you do best. Brand strength, startup energy: Thrive in an innovative environment backed by a trusted brand. A vibrant workplace: Enjoy an on-site cafeteria, fitness center, federal credit union and state-of-the-art child development center, all on a beautiful downtown Omaha campus along the Missouri River. Learn more about life at Gallup. Gallup offers several benefits for part-time associates, including a fully vested 401(k) retirement savings plan with company matching, an employee stock ownership program and an employee assistance program. We also offer an estimated hourly range of $16-$18 for this role. Hourly pay is based on a variety of factors, including an individual’s education, experience and skills. Gallup is an equal opportunity employer. We consider all qualified applicants without regard to race, color, religion, sex, national origin, disability, protected veteran status, sexual orientation, gender identity, or any other legally protected basis, in accordance with applicable law. To review Gallup’s Privacy Statement, please click this link: https://www.gallup.com/privacy. This privacy policy is meant to help you understand what information we collect, why we collect it, and how you can update, manage and delete your information. 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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. 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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. City of Hope has a Research Associate I opportunity available. Under the direct supervision of the Principal Investigator, or designee, the Research Associate I performs a variety of routine and increasingly complex research experiments. As a successful candidate, you will: Utilize laboratory equipment and established protocols to perform a variety of research experiments. Record and validate results for accuracy and completeness. May modify protocols. Write standard operating procedures and reports. Maintain records of work performed, including results and methodology; utilizing records may calculate, graph, and compile data. Develop techniques and expertise in one or more areas relevant to laboratory research projects. Ensure that all laboratory activities are carried out in compliance with safety procedures and guidelines for handling, storage, and disposal of materials. Your qualifications should include: Bachelor’s degree in biological sciences. 0-2 years of research/laboratory 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-Monrovia", "summaryDescription" : "Research Associate at City of Hope. Perform research experiments. 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A dynamic, global company founded in 1995, we bring together 3000 driven, dedicated and passionate individuals. We work on the frontline of medical science, changing lives, and bringing new medicines to those who need them. PSI’s business is about conducting clinical research of novel medications. We work at the interface of R&D, pharmaceutical industry and healthcare science and provide services to big and mid-sized pharmaceutical companies. We help our clients to generate data about safety and efficacy of medications and bring the best ones to market. By conducting global clinical research trials, PSI makes cutting-edge treatment available in drugstores all over the world and helps patients with serious medical conditions to improve or even save their life. Help us to make sure that PSI medical and business documents are clear to patients, physicians, regulatory authorities, and clients. 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You will: * Prepare, conduct and reports site selection, initiation, routine monitoring and close-out visits * Perform CRF review, source document verification and query resolution * Be responsible for site communication and management * Act as a communication point between project teams and the site * Leads project team calls on a country level * Ensure that subject recruitment targets are timely defined, communicated, recorded and met, and project timelines are followed at site level * Participate in feasibility research * Support regulatory team in preparing documents for study submissions * Prepare and participate in site audits and inspections ## Qualifications Office is located in Tokyo, Japan with Hybrid or remote work arrangement available. 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Tokyo or Osaka office (Hybrid) * College/University degree in Life Sciences, Pharmacy, RN or an equivalent combination of education, training & experience * Min. 2 years of independent on-site monitoring experience in Japan * Experience in all types of monitoring visits in Phase II and/or III * Experience in feasibility assessment and study set-up process is preferable * Experience in Multiple Sclerosis, Inflammatory Bowel Disease, Oncology, Infectious Diseases is a plus * Full working proficiency in English and Japanese * PC skills to be able to work with MS Word, Excel and PowerPoint * Ability to plan, multitask and work in a dynamic team environment * Communication, collaboration, and problem-solving skills * Ability to travel up to 30% to 40% ## Additional Information How are we different? PSI is privately owned by the very people who founded the company more than 25 years ago, and they’re still working here today. As a result, we have grown organically around the globe and have kept our company fully independent, giving us significant advantages and freedoms. Being a Part of the Team As a part of the PSI team, you will have a fair degree of ownership and autonomy to make nuanced country-and department-specific adjustments while nurturing the global PSI culture that unites us across six continents. You will receive continuous support from your global peers and join a fast-paced, innovative, and results-oriented working environment with lean communication lines. We pride ourselves on being approachable, receptive to new ideas, and open to feedback. Growth Opportunities PSI is proud to invest in our people, from entry-level team members to senior leaders, helping you identify and hone your unique strengths at every step of your career. From on-the-job learning experiences to formal development programs, our professionals have a variety of opportunities to continue to grow throughout their career. PSI is an inclusive and equal opportunity employer and is committed to attracting and retaining a diverse workforce that reflects the community we serve.", "summaryDescription" : "Clinical Research Associate II at PSI CRO", "postedDate" : "2026-06-15T10:34:44.000", "createdAt" : "2026-06-15T23:47:46.355", "lastUpdated" : "2026-06-16T08:58:19.813", "ingestTimestamp" : "2026-06-15T23:47:46.355", "mongoId" : "6a305e6cf292fd229cf7070c", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "200k+", "hasSalary" : false, "allSkills" : [ ], "skillCount" : 0, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Mid", "dataQualityScore" : 0.8888889, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Biotech", "llmIndustryConfidence" : 0.95 }, { "id" : "6a307cfff292fd229c04bd84", "title" : "Research Associate, Project on Israel", "company" : "Harvard University", "industry" : "Higher Education", "salary" : { "min" : 165000.0, "max" : 245000.0, "currency" : "ILS", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market data for a Mid-level Research Associate in Tel Aviv, Israel, adjusted for the Education industry and a large company size." }, "location" : "Tel Aviv, IL", "locations" : [ "Tel Aviv", "IL" ], "timestamp" : "2026-06-16T11:13:11.601", "fingerprint" : "9da83e6cef1890c31194358f6f7cccb89a4aa409668547d8b2eec1ed356e6985", "source" : "smartrecruiters", "language" : "en", "applyUrl" : "https://jobs.smartrecruiters.com/HarvardUniversity/3743990013630471-research-associate-project-on-israel", "externalId" : "3743990013630471", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Tel Aviv", "state" : "Tel Aviv District", "country" : "Israel", "continent" : "as", "source" : "llm", "workMode" : "onsite", "geo" : "32.0852997,34.7818064" } ], "locationText" : "Tel Aviv, Tel Aviv District, Israel", "employmentType" : "FULL_TIME", "experienceMinYears" : 0, "experienceMaxYears" : 2, "experienceLevel" : "entry", "technicalSkills" : "Stata, SAS, R, Python", "professionalSkills" : [ "Statistical analysis", "Data analysis", "Interpretation" ], "hardSkillsList" : [ "Statistical programming", "Econometrics" ], "softSkillsList" : [ "Independence", "Discretion", "Judgment" ], "hardSkills" : [ { "name" : "Statistical programming", "level" : "intermediate" }, { "name" : "Econometrics", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Independence" }, { "name" : "Discretion" }, { "name" : "Judgment" } ], "majorSkills" : "Data analysis, Statistical methods, Research", "majorSkillsList" : [ "Data analysis", "Statistical methods", "Research" ], "coreResponsibilities" : "Create database of ventures, Coordinate with partner organizations, Support running randomized trials, Support partnerships with research institutions, Facilitate collaboration, Coordinate mutual research, Contribute to technical research projects, Collect and analyze data, Work on HBS research agenda, Provide subject-area knowledge, Identify and explore research questions, Manage all timelines, Manage all deliverables, Exercise independent decision making, Structure assignments, Ensure compliance with regulations, Complete work with general direction", "teamCollaboration" : "Partner organizations; Research institutions", "projectManagementSkills" : [ "Manage timelines", "Manage deliverables" ], "domainKnowledge" : "Entrepreneurship policy; Startup ecosystem; Reskilling initiatives; Entrepreneurial ventures", "domainList" : [ "entrepreneurship-policy", "startup-ecosystem", "reskilling-initiatives", "entrepreneurial-ventures" ], "domainSpecificKnowledge" : [ "Entrepreneurship policy", "Startup ecosystem", "Reskilling initiatives", "Entrepreneurial ventures" ], "communicationSkills" : "Analysis and interpretation", "problemSolvingSkills" : "Independent decision making; Discretionary judgment", "qualificationsBasic" : "Bachelor's degree, Advanced coursework in economics, mathematics, quantitative sciences, or business-related field, Statistical programming, Basic understanding of econometrics, Proficiency in Stata, SAS, R, and/or Python", "qualificationsPreferred" : "Predoctoral RA candidates, PhD studies in the future", "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 University Central Administration? Harvard University's Central Administration (CADM) is a 5,000+ employee organization that supports the university's overall excellence by understanding and serving the needs of its schools, students, faculty, staff, alumni, and surrounding communities. Through dynamic and collaborative partnerships, CADM provides high-quality and efficient services to the schools to help them achieve their goals. Job Summary: Harvard Business School seeks a Research Associate to work in Israel to support a Project on Israel led by Professors Paul Gompers and Raffaella Sadun. Israel is often held up for its entrepreneurship policy worldwide, combining both an active public sector set of policies as well as private sector investment. The successful candidate will have a strong interest in reskilling, innovation, and the startup ecosystem within Israel. The Research Associate works remotely and is based in Israel and reports directly to faculty supervisors and administrative manager in the Research Staff Services office. Ideal predoctoral RA candidates will be comfortable in an environment that requires a high level of independence, intellectual curiosity, and the ability to use discretionary judgment. This is an ideal opportunity for candidates interested in pursuing doctoral studies in the future. Job-Specific Responsibilities: * Create a database of entrepreneurial ventures and reskilling initiatives in Israel. * Coordinate with partner organizations in Israel for access to data and support the running of randomized clinical trials. * Support partnerships with research institutions in Israel and the region, facilitating collaboration, coordinating mutual research, and contributing to technical research projects. * Collect and analyze data using statistical methods on reskilling and entrepreneurial ventures in Israel. * Work under the general direction of HBS faculty on topics central to HBS research agenda. Provide subject-area knowledge, analysis and interpretation to faculty members. Identify and explore a wide range of questions related to faculty’s research agenda. * Independently manage all timelines and deliverables. Exercise independent decision making with regard to progression of research project and methodologies. Must be able to structure assignments and keep faculty member informed as necessary, using own judgment. * Ensure compliance with department, University, and federal regulations. Complete work with only general direction. Be aware of department, School, University policies and potential outside research policies. * Responsible for other duties as assigned. Working Conditions: Physical Requirements: ## Qualifications Basic Qualifications: * Bachelor’s degree and advanced coursework in economics, mathematics, quantitative sciences, or business-related field required. * Statistical programming and a basic understanding of econometrics. Proficiency in Stata, SAS, R, and/or Python. Additional Qualifications and Skills: * Proven evidence of independent research in specific advanced field of study. * Demonstrated skill at navigating complex organizations. * Proven ability to work independently and creatively. * This position requires an individual capable of consistent use of discretion, judgment, and initiative. Evidence of prior high-quality, original academic writing, and background in analysis and interpretation of relevant data, research, news, and literature. Ability to read academic, subject-specific information and write a reasoned and thoughtful analysis, as well as produce a creative interpretation, is a must. * Diplomatic skills, comfort in interacting with prominent individuals, and grace under pressure are essential. Certificates and Licenses: ## Additional Information * Appointment End Date: * Standard Hours/Schedule: 40 hours per week * Compensation Range/Rate (including Shift Differential if applicable): * Visa Sponsorship Information: Harvard University is unable to provide visa sponsorship for this position * Pre-Employment Screening: Identity, Education, Criminal, Credit, Certification/License, Motor Vehicle Record, Drug Test, DOT Physical, CORI, Employment, Prohibited Parties, Not Applicable * Other Information: * Compensation Information The compensation for this position will be paid out in the local monetary equivalent. Additional details about the salary range will be provided by the hiring team throughout the hiring process. Sponsorship Information Harvard University is unable to provide visa sponsorship for this position. Candidates must be legally authorized to work in the country in which this position is located to be considered for employment. 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, Project on Israel at Harvard University. Skills: Data analysis, Statistical methods, Research. Create database of ventures. Coordinate with partner organizations", "postedDate" : "2026-06-15T20:52:26.000", "createdAt" : "2026-06-16T01:37:17.116", "lastUpdated" : "2026-06-16T11:13:11.601", "ingestTimestamp" : "2026-06-16T01:37:17.116", "mongoId" : "6a307cfff292fd229c04bd84", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "150k-200k", "hasSalary" : false, "allSkills" : [ "Statistical programming", "Econometrics", "Independence", "Discretion", "Judgment", "Data analysis", "Statistical methods", "Research", "Statistical analysis", "Interpretation", "Manage timelines", "Manage deliverables", "Entrepreneurship policy", "Startup ecosystem", "Reskilling initiatives", "Entrepreneurial ventures" ], "skillCount" : 16, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Mid", "dataQualityScore" : 1.0, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Education", "llmIndustryConfidence" : 0.95 }, { "id" : "6a307f5ff292fd229c058873", "title" : "Senior UX Research Program Manager, Payments", "industry" : "FinTech", "salary" : { "min" : 175000.0, "max" : 250000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for Senior UX Research Program Manager in Mountain View, adjusted for FinTech industry and senior experience level." }, "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" : "2026-06-16T12:52:05.805", "fingerprint" : "4482fe0756021135c4635f10fd05d94bdb2d8c18b4ef1f7c2e5c4765874e0595", "source" : "google", "language" : "en", "externalId" : "123357048548008646", "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", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "workSiteFlexibility" : "Onsite", "summaryDescription" : "Senior UX Research Program Manager, Payments", "postedDate" : "2026-06-16T01:49:06.166", "createdAt" : "2026-06-16T01:49:06.166", "lastUpdated" : "2026-06-16T12:52:05.805", "ingestTimestamp" : "2026-06-16T01:49:06.166", "mongoId" : "6a307f5ff292fd229c058873", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 175000, "salaryAnnualMax" : 250000, "salaryBand" : "150k-200k", "hasSalary" : true, "allSkills" : [ ], "skillCount" : 0, "jobCategory" : "product", "jobSubcategory" : "design", "seniorityLevel" : "Senior", "dataQualityScore" : 0.5555556, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "FinTech", "llmIndustryConfidence" : 0.95 }, { "id" : "6a19719958b93c861e516da4", "title" : "Clinical Research Program Navigator", "company" : "City of Hope", "industry" : "Healthcare", "salary" : { "min" : 75000.0, "max" : 115000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline data for a Mid-level Clinical Research Program Navigator in the Healthcare industry in the United States, adjusted for remote work and company size." }, "location" : "US-Nationwide-USA-Remote", "locations" : [ "US-Nationwide-USA-Remote", "Clinical Research", "Remote, Days, Days" ], "timestamp" : "2026-06-16T00:56:57.864", "fingerprint" : "a93f2d1b62d40cbcee4420b445f5b134e4fb277893f3b48d4fe4a4b7ea3835cd", "source" : "taleo", "language" : "en", "applyUrl" : "https://aa067.taleo.net/careersection/ex/jobdetail.ftl?job=235544", "externalId" : "235544", "industryFunction" : { }, "structuredLocations" : [ { "country" : "United States", "continent" : "na", "workMode" : "remote" } ], "locationText" : "United States", "minimumEducation" : "Bachelor's Degree", "coreResponsibilities" : "Manage customer relationships, Drive customer retention, Ensure customer satisfaction, Facilitate customer value realization", "remoteFriendly" : true, "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. Join our Clinical Research team and play a vital role in improving the patient and family experience throughout the clinical trial journey. As a Clinical Research Program Navigator, you will guide patients with cancer and their families by connecting them to resources, removing barriers to care, and ensuring a smooth, supportive experience from start to finish. Collaborate closely with Research teams, care providers and support services to enhance processes, improve outcomes, and ensure patients receive the highest level of coordinated care. As a successful candidate, you will: Serve as a primary point of contact for clinical trial patients and families, providing guidance, education, and ongoing support Introduce patients to available programs, services and resources. Help navigate the care continuum Assess patient and family needs, identify potential barriers, coordinate solutions to support treatment adherence Act as a liaison between research, clinical teams, and support departments to improve the overall care experience Provide proactive follow-up, including post-treatment check-ins and appointment reminders for at-risk patients. Assist with scheduling coordination and ensure efficient, patient-centered care planning Document patient interactions and maintain accurate records Availability to commute 10% of the time to meet with patients Your qualifications should include: Bachelor's Degree 5 years or more of experience working in a hospital/healthcare setting and interacting collaboratively with medical teams Strong customer service skills Demonstrate skills in written and verbal communication including good phone etiquette Good problem solving skills Display sensitivity to patient care, privacy and cultural needs. Preferred education, experience and skills: Master's Degree in Health or Health-related field Knowledge of oncology healthcare and psychosocial needs Previous grant and/or clinical trial 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 . US-Nationwide-USA-Remote", "summaryDescription" : "Clinical Research Program Navigator at City of Hope. Manage customer relationships. Drive customer retention", "createdAt" : "2026-06-14T19:42:55.315", "lastUpdated" : "2026-06-16T00:56:57.864", "ingestTimestamp" : "2026-06-14T19:42:55.315", "mongoId" : "6a19719958b93c861e516da4", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 75000, "salaryAnnualMax" : 115000, "salaryBand" : "75k-100k", "hasSalary" : true, "allSkills" : [ ], "skillCount" : 0, "jobCategory" : "sales", "jobSubcategory" : "customer_success", "seniorityLevel" : "Mid", "dataQualityScore" : 0.5555556, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "Healthcare", "llmIndustryConfidence" : 0.95 }, { "id" : "6a2c712274d8ee00a092d7d8", "title" : "Postdoctoral Researcher", "company" : "University Health Network", "industry" : "Hospital And Health Care", "salary" : { "min" : 60000.0, "max" : 75000.0, "currency" : "USD", "frequency" : "yearly" }, "location" : "Toronto, Ontario, Canada", "locations" : [ "Toronto", "Ontario", "Canada" ], "timestamp" : "2026-06-15T12:18:25.022", "fingerprint" : "58ff5b8edc3a906d86dc5b773558ca73a223cc9243936a80ee7884f1881a0ae8", "source" : "smartrecruiters", "language" : "en", "applyUrl" : "https://jobs.smartrecruiters.com/UniversityHealthNetwork/744000131924480-postdoctoral-researcher", "externalId" : "744000131924480", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Toronto", "state" : "Ontario", "country" : "Canada", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "43.6534817,-79.3839347" } ], "locationText" : "Toronto, Ontario, Canada", "employmentType" : "CONTRACT", "experienceLevel" : "not-applicable", "technicalSkills" : "Genomics, Epigenomics, NGS, HiChIP, HiC, ATAC-seq, CUT&RUN, CUT&Tag, Multi-omics, R, Python", "professionalSkills" : [ "Biomedical research", "Cancer research", "Genomic medicine", "Precision oncology", "Translational research", "Biomarker development", "Epigenome-informed therapeutics" ], "hardSkillsList" : [ "3D genome mapping", "Functional epigenomics", "Multi-omic integration", "Chromatin conformation assays", "NGS library preparation", "Organoid models", "Data analysis", "Data interpretation" ], "softSkillsList" : [ "Highly motivated" ], "hardSkills" : [ { "name" : "3D genome mapping", "level" : "intermediate" }, { "name" : "Functional epigenomics", "level" : "intermediate" }, { "name" : "Multi-omic integration", "level" : "intermediate" }, { "name" : "Chromatin conformation assays", "level" : "intermediate" }, { "name" : "NGS library preparation", "level" : "intermediate" }, { "name" : "Organoid models", "level" : "intermediate" }, { "name" : "Data analysis", "level" : "intermediate" }, { "name" : "Data interpretation", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Highly motivated" } ], "majorSkills" : "3D genome organization, Epigenomics, Cancer biology, Genomics", "majorSkillsList" : [ "3D genome organization", "Epigenomics", "Cancer biology", "Genomics" ], "coreResponsibilities" : "Design research projects, Execute research projects, Perform chromatin conformation assays, Optimize chromatin conformation assays, Generate epigenomic datasets, Integrate epigenomic datasets, Contribute to multi-omics projects, Initiate multi-omics projects, Work with organoid models, Perform NGS library preparation, Optimize NGS library preparation, Collaborate with computational scientists, Analyze data, Interpret data, Lead manuscript preparation, Contribute to grant development, Mentor trainees, Contribute to lab environment", "teamCollaboration" : "Multidisciplinary research program; Collaborative lab environment; Computational scientists", "projectManagementSkills" : [ "Independent research directions" ], "domainKnowledge" : "Clinical oncology; Experimental biology; Computational genomics; Chromatin architecture; Epigenetic regulation; Cancer; 3D genome mapping; Functional epigenomics; Multi-omic integration; Tumor heterogeneity; Precision oncology; Biomarker development; Epigenome-informed therapeutics; Single-cell epigenomics; Spatial epigenomics", "domainList" : [ "clinical-oncology", "experimental-biology", "computational-genomics", "chromatin-architecture", "epigenetic-regulation", "cancer", "3d-genome-mapping", "functional-epigenomics", "multi-omic-integration", "tumor-heterogeneity", "precision-oncology", "biomarker-development", "epigenome-informed-therapeutics", "single-cell-epigenomics", "spatial-epigenomics" ], "domainSpecificKnowledge" : [ "Clinical oncology", "Experimental biology", "Computational genomics", "Chromatin architecture", "Epigenetic regulation", "Cancer", "3D genome mapping", "Functional epigenomics", "Multi-omic integration", "Tumor heterogeneity", "Precision oncology", "Biomarker development", "Epigenome-informed therapeutics", "Single-cell epigenomics", "Spatial epigenomics" ], "toolProficiency" : [ "HiChIP", "HiC", "ATAC-seq", "CUT&RUN", "CUT&Tag" ], "communicationSkills" : "Manuscript preparation; Grant development", "documentationSkills" : "Manuscript preparation", "continuousLearning" : "Opportunities for development; Opportunities for promotions", "innovationCreativity" : "Develop independent research directions", "problemSolvingSkills" : "Data analysis; Data interpretation", "specialRequirements" : "Criminal Record Check", "outcomesObjectives" : "Contribute to high-impact publications; Identify clinically actionable mechanisms", "qualificationsBasic" : "Ph.D. in Molecular Biology, Ph.D. in Cancer Biology, Ph.D. in Genomics, Ph.D. in related field, experimental background in functional genomics, experimental background in epigenomics assays, Hands-on experience with NGS library preparation, Experience with chromatin-based assays, Proven ability to design experiments, Proven ability to execute experiments, publication record, fluency in English, written, fluency in English, spoken, Ability to work in multidisciplinary environment", "qualificationsPreferred" : "Direct experience with 3D genome assays, Experience with organoid culture systems, Exposure to single-cell genomics, Exposure to spatial genomics technologies, Basic familiarity with R/Python, Basic familiarity with computational analysis", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "UHN is Canada’s #1 hospital and the world’s #1 publicly funded hospital. With 10 sites and more than 44,000 TeamUHN members, UHN consists of Toronto General Hospital, Toronto Western Hospital, Princess Margaret Cancer Centre, Toronto Rehabilitation Institute, The Michener Institute of Education and West Park Healthcare Centre. As Canada's top research hospital, the scope of biomedical research and complexity of cases at UHN have made it a national and international source for discovery, education and patient care. UHN has the largest hospital-based research program in Canada, with major research in neurosciences, cardiology, transplantation, oncology, surgical innovation, infectious diseases, genomic medicine and rehabilitation medicine. UHN is a research hospital affiliated with the University of Toronto. UHN’s vision is to build A Healthier World and it’s only because of the talented and dedicated people who work here that we are continually bringing that vision closer to reality. [www.uhn.ca](https://www.uhn.ca/) Union : Non-Union Number of Vacancies : 1 New or Replacement Position : New Site : Princess Margaret Cancer Centre Department: Research Reports to: Principal Investigator Salary Range : $60,000 - $75,000 annually Hours: 37.5 hours a week Shifts: Monday - Friday Status : Temporary Full-Time (1 year contract) Closing Date : June 30, 2026 Position Summary Our lab is a multidisciplinary research program based at the Princess Margaret Cancer Centre (UHN) and closely integrated with the Structural Genomics Consortium (SGC). We operate at the intersection of clinical oncology, experimental biology, and computational genomics, with a focus on decoding chromatin architecture and epigenetic regulation in cancer. Our work combines 3D genome mapping, functional epigenomics, and multi-omic integration to understand tumor heterogeneity and identify clinically actionable regulatory mechanisms. A central goal of the lab is to translate epigenomic insights into precision oncology strategies, including biomarker development and epigenome-informed therapeutic approaches. We are seeking a highly motivated Postdoctoral Fellow to lead experimental efforts focused on 3D genome organization in cancer. The successful candidate will drive projects integrating chromatin architecture with transcriptional and regulatory landscapes, using a combination of bulk, single-cell, and spatial epigenomics approaches. The role includes substantial opportunity to develop independent research directions, contribute to high-impact publications, and engage in translational research aligned with precision medicine. This is an ideal position for candidates interested in working at the interface of experimental and computational epigenomics, within a collaborative and high-impact research environment. Duties * Design and execute independent research projects centered on 3D genome organization in cancer. * Perform and optimize chromatin conformation assays, including HiChIP, HiC and related targeted 3D genome methods. * Generate and integrate complementary epigenomic datasets, including ATAC-seq, CUT&RUN, CUT&Tag. * Contribute to or initiate single-cell and spatial multi-omics projects. * Work with patient-derived organoid models. * Perform and optimize NGS library preparation protocols across multiple assay types. * Collaborate closely with computational scientists for data analysis and interpretation. * Lead manuscript preparation and contribute to grant development. * Mentor trainees and contribute to a collaborative lab environment. ## Qualifications * Ph.D. in Molecular Biology, Cancer Biology, Genomics, or a related field, required * Strong experimental background in functional genomics and epigenomics assays. * Hands-on experience with next-generation sequencing (NGS) library preparation. * Experience with chromatin-based assays, for example ATAC-seq, HiC-based methods, CUT&RUN. * Proven ability to independently design and execute experiments. * Strong publication record. * Excellent communication skills and fluency in English, written and spoken. * Ability to work effectively in a collaborative, multidisciplinary environment. * Direct experience with 3D genome assays, such as Hi-C, HiChIP, Capture-C, or related methods, an asset * Experience with organoid culture systems, an asset * Exposure to single-cell or spatial genomics technologies, an asset * Basic familiarity with computational analysis of genomic data, such as R/Python, an asset ## Additional Information Why join UHN? In addition to working alongside some of the most talented and inspiring healthcare professionals in the world, UHN offers a wide range of benefits, programs and perks. It is the comprehensiveness of these offerings that makes it a differentiating factor, allowing you to find value where it matters most to you, now and throughout your career at UHN. * Competitive offer packages * Government organization and a member of the Healthcare of Ontario Pension Plan (HOOPP ) * Close access to Transit and UHN shuttle service * A flexible work environment * Opportunities for development and promotions within a large organization * Additional perks (multiple corporate discounts including: travel, restaurants, parking, phone plans, auto insurance discounts, on-site gyms, etc.) Current UHN employees must have successfully completed their probationary period, have a good employee record along with satisfactory attendance in accordance with UHN's attendance management program, to be eligible for consideration. All applications must be submitted before the posting close date. UHN uses email to communicate with selected candidates. Please ensure you check your email regularly. Please be advised that a Criminal Record Check may be required of the successful candidate. Should it be determined that any information provided by a candidate be misleading, inaccurate or incorrect, UHN reserves the right to discontinue with the consideration of their application. UHN is an equal opportunity employer committed to an inclusive recruitment process and workplace. Requests for accommodation can be made at any stage of the recruitment process. Applicants need to make their requirements known. We thank all applicants for their interest, however, only those selected for further consideration will be contacted.", "summaryDescription" : "Postdoctoral Researcher at University Health Network. Skills: 3D genome organization, Epigenomics, Cancer biology, Genomics. Design research projects. Execute research projects", "postedDate" : "2026-06-12T14:56:07.000", "createdAt" : "2026-06-13T09:47:45.340", "lastUpdated" : "2026-06-15T12:18:25.022", "ingestTimestamp" : "2026-06-14T07:55:54.401", "mongoId" : "6a2c712274d8ee00a092d7d8", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 60000, "salaryAnnualMax" : 75000, "salaryBand" : "50k-75k", "hasSalary" : true, "allSkills" : [ "3D genome mapping", "Functional epigenomics", "Multi-omic integration", "Chromatin conformation assays", "NGS library preparation", "Organoid models", "Data analysis", "Data interpretation", "Highly motivated", "3D genome organization", "Epigenomics", "Cancer biology", "Genomics", "Biomedical research", "Cancer research", "Genomic medicine", "Precision oncology", "Translational research", "Biomarker development", "Epigenome-informed therapeutics", "Independent research directions", "Clinical oncology", "Experimental biology", "Computational genomics", "Chromatin architecture", "Epigenetic regulation", "Cancer", "Tumor heterogeneity", "Single-cell epigenomics", "Spatial epigenomics", "HiChIP", "HiC", "ATAC-seq", "CUT&RUN", "CUT&Tag" ], "skillCount" : 35, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Entry", "dataQualityScore" : 1.0, "daysOld" : 2, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Healthcare", "llmIndustryConfidence" : 0.98 }, { "id" : "6a2c712274d8ee00a092d7db", "title" : "Postdoctoral Researcher", "company" : "University Health Network", "industry" : "Research", "salary" : { "min" : 54902.0, "max" : 93333.0, "currency" : "USD", "frequency" : "yearly" }, "location" : "Toronto, ON, Canada", "locations" : [ "Toronto", "ON", "Canada" ], "certifications" : [ "GCP Professional Data Engineer", "AWS Data Analytics", "Databricks Certified", "Dbt Certified" ], "timestamp" : "2026-06-16T00:34:02.576", "fingerprint" : "65fda312bf4c7396d2f6c51e803303aace1711755825d68285be8cb24c9d5473", "source" : "smartrecruiters", "language" : "en", "applyUrl" : "https://jobs.smartrecruiters.com/UniversityHealthNetwork/744000131913639-postdoctoral-researcher", "externalId" : "744000131913639", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Toronto", "state" : "Ontario", "country" : "Canada", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "43.6534817,-79.3839347" } ], "locationText" : "Toronto, Ontario, Canada", "employmentType" : "FULL_TIME", "experienceLevel" : "not-applicable", "technicalSkills" : "SQL, Python, R, Spark, Dbt, Tableau, Power BI, Snowflake, BigQuery, Redshift, Databricks, Fivetran, Airflow, Dbt Cloud, Delta Lake, AWS, GCP, Azure, SageMaker, Vertex AI, ML Studio, Scikit-learn, TensorFlow, PyTorch, XGBoost, LightGBM, Hugging Face, MLflow", "professionalSkills" : [ "Quantitative analysis", "Data engineering", "Machine learning", "Business intelligence", "Analytics engineering" ], "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" ], "coreResponsibilities" : "Develop and implement data models, Build and maintain data pipelines, Perform statistical analysis, Develop machine learning models, Create and maintain BI dashboards, Collaborate with stakeholders to define data requirements, Ensure data quality and integrity, Stay up-to-date with industry trends", "teamCollaboration" : "Cross-functional teams; Stakeholders", "domainKnowledge" : "Data science; Data engineering; Machine learning; Business intelligence; Analytics engineering; Quantitative analysis", "domainList" : [ "data-science", "data-engineering", "machine-learning", "business-intelligence", "analytics-engineering", "quantitative-analysis" ], "domainSpecificKnowledge" : [ "Data science", "Data engineering", "Machine learning", "Business intelligence", "Analytics engineering", "Quantitative analysis" ], "toolProficiency" : [ "SQL", "Python", "R", "Spark", "Dbt", "Tableau", "Power BI", "Snowflake", "BigQuery", "Redshift", "Databricks", "Fivetran", "Airflow", "Scikit-learn", "TensorFlow", "PyTorch", "XGBoost", "LightGBM", "Hugging Face", "MLflow" ], "problemSolvingSkills" : "Data analysis; Model development", "qualificationsBasic" : "Master's degree in Statistics, Computer Science, Mathematics, or related field, 3+ years of experience in data science or analytics, Proficiency in SQL, Experience with Python or R for data analysis", "qualificationsPreferred" : "PhD in a quantitative field, Experience with machine learning frameworks (e.g., scikit-learn, TensorFlow, PyTorch), Experience with cloud platforms (AWS, GCP, Azure), Cloud data platform certifications (e.g., GCP Professional Data Engineer, AWS Data Analytics, Databricks Certified, dbt Certified)", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "UHN is Canada’s #1 hospital and the world’s #1 publicly funded hospital. With 10 sites and more than 44,000 TeamUHN members, UHN consists of Toronto General Hospital, Toronto Western Hospital, Princess Margaret Cancer Centre, Toronto Rehabilitation Institute, The Michener Institute of Education and West Park Healthcare Centre. As Canada's top research hospital, the scope of biomedical research and complexity of cases at UHN have made it a national and international source for discovery, education and patient care. UHN has the largest hospital-based research program in Canada, with major research in neurosciences, cardiology, transplantation, oncology, surgical innovation, infectious diseases, genomic medicine and rehabilitation medicine. UHN is a research hospital affiliated with the University of Toronto. UHN’s vision is to build A Healthier World and it’s only because of the talented and dedicated people who work here that we are continually bringing that vision closer to reality. [www.uhn.ca](https://www.uhn.ca/) Union: Non-Union Number of Vacancies: 1 New or Replacement Position: New Site: MaRS Department: PM Research Reports to: Senior Scientist Salary Range: $54,902 - $93,333 Per Year Hours: 37.5 Hours Per Week Shifts: Monday - Friday; Day Shifts Status: Temporary Full-time (2-Year Contract) Closing Date: June 26, 2026 Position Summary: We are seeking a postdoctoral researcher with strong expertise in AI/ML to join a major interdisciplinary initiative focused on developing foundation models and secure computational infrastructure for translational cancer research. The first major objective is to build a general-purpose drug foundation model capable of transfer learning across diverse prediction tasks, including mechanism of action classification, clinical drug response prediction in tumour subtypes, ADMET and toxicity profiling, combinatorial drug synergy, and drug repurposing. The goal is to move beyond task-specific architectures and datasets toward flexible models that can generalize across therapeutic contexts. The second major objective is to develop and apply secure, scalable, and privacy-preserving computational infrastructure to support biomarker discovery across diverse treatment modalities. This will include building agentic AI approaches to harmonize clinical, genomic, and transcriptomic data across public and private cohorts, while assessing the predictive value of DNA and RNA signatures in federated settings where sensitive data remain under local governance. Together, these efforts aim to advance AI-driven drug discovery, biomarker development, and clinical translation by integrating modern machine learning, multimodal biomedical data, and robust distributed analysis frameworks. The successful candidate will work in the Haibe-Kains Lab at the Princess Margaret Cancer Centre, University Health Network. Duties: * Design and implement multimodal drug foundation models that integrate molecular graph representations, bulk transcriptomic perturbation signatures, and multi-omics cell-state representations. * Develop transfer learning strategies to support diverse drug prediction tasks, including mechanism of action classification, clinical drug response prediction, ADMET and toxicity profiling, combinatorial drug synergy, and drug repurposing. * Build flexible AI/ML workflows that reduce reliance on task-specific architectures and enable generalization across therapeutic contexts, tumour subtypes, and treatment modalities. * Architect and deploy secure, scalable, and privacy-preserving computational infrastructure for biomarker discovery and translational cancer research. * Develop agentic AI-enabled frameworks to support the harmonization, annotation, quality control, and integration of clinical, genomic, and transcriptomic data across public cohorts and private institutional datasets. * Implement distributed and federated analysis pipelines in which each contributing dataset can be analysed separately, enabling multi-cohort biomarker assessment without raw data centralization. * Develop systematic workflows to evaluate published and user-specified DNA and RNA signatures, including immune, stromal, mutation-based, pathway-level, and treatment-response signatures. * Assess the predictive value of molecular signatures across cancer types and treatment modalities, including chemotherapy, targeted therapy, immunotherapy, and emerging therapeutic approaches. * Integrate biomarker discovery and immunotherapy inference pipelines with clinical data warehouses to support translational studies in collaboration with clinical, industry, and computational partners. * Contribute to responsible data sharing frameworks, data governance processes, IRB/ethics protocols, and regulatory documentation as required. * Collaborate closely with computational biologists, software developers, clinicians, and wet-lab scientists to build, validate, and translate predictive models and biomarker discovery workflows. ## Qualifications * Awarded a PhD within the previous 5 years, or an MD or DDS within the previous 10 years in a relevant quantitative or biomedical discipline, including but not limited to: Computational Biology, Bioinformatics, Systems Biology, or Quantitative Genomics; Machine Learning, Artificial Intelligence, Computer Science, or Data Science; Biostatistics, Biomedical Engineering, or related fields * Demonstrated experience developing or applying deep learning methods to molecular, biological, clinical, or multi-omics data. * Expertise in one or more modern AI/ML approaches relevant to foundation models or representation learning, such as graph neural networks, transformers, generative models, self-supervised learning, few-shot or zero-shot learning, or transfer learning. * Strong programming skills in Python and/or R, with practical experience using modern machine learning frameworks and tooling such as PyTorch, Hugging Face, PyTorch Geometric, Deep Graph Library, scikit-learn, or equivalent platforms. * Experience working with large-scale biomedical datasets, such as molecular graphs, transcriptomic perturbation profiles, multi-omics data, clinical genomics, electronic health record-derived data, or treatment-response datasets. * Proficiency with reproducible workflow management systems such as Snakemake, Nextflow, CWL, or equivalent pipeline frameworks. * Familiarity with cloud or high-performance computing environments, such as GCP, AWS, SLURM-based clusters, or equivalent infrastructure. * Understanding of data harmonization, privacy-preserving analysis, federated learning, secure distributed computing, or clinical data governance is highly desirable. * Strong publication record, commensurate with career stage, in computational biology, AI/ML, bioinformatics, biostatistics, biomedical data science, or related fields. * Excellent communication skills and ability to work collaboratively in interdisciplinary teams spanning computational biology, machine learning, software engineering, oncology, and clinical research. * Experience with clinical data harmonization (e.g., OMOP CDM, HL7 FHIR) is preferred. * Experience designing scalable bioinformatics pipelines for large-scale genomic or transcriptomic datasets, preferred. * Understanding of regulatory and data governance requirements in clinical research settings, preferred. * Prior collaborative work across computational and clinical or wet-lab research teams, preferred. ## Additional Information Why join UHN? In addition to working alongside some of the most talented and inspiring healthcare professionals in the world, UHN offers a wide range of benefits, programs and perks. It is the comprehensiveness of these offerings that makes it a differentiating factor, allowing you to find value where it matters most to you, now and throughout your career at UHN. * Competitive offer packages * Government organization and a member of the Healthcare of Ontario Pension Plan (HOOPP ) * Close access to Transit and UHN shuttle service * A flexible work environment * Opportunities for development and promotions within a large organization * Additional perks (multiple corporate discounts including: travel, restaurants, parking, phone plans, auto insurance discounts, on-site gyms, etc.) Current UHN employees must have successfully completed their probationary period, have a good employee record along with satisfactory attendance in accordance with UHN's attendance management program, to be eligible for consideration. All applications must be submitted before the posting close date. UHN uses email to communicate with selected candidates. Please ensure you check your email regularly. Please be advised that a Criminal Record Check may be required of the successful candidate. Should it be determined that any information provided by a candidate be misleading, inaccurate or incorrect, UHN reserves the right to discontinue with the consideration of their application. UHN is an equal opportunity employer committed to an inclusive recruitment process and workplace. Requests for accommodation can be made at any stage of the recruitment process. Applicants need to make their requirements known. We thank all applicants for their interest, however, only those selected for further consideration will be contacted.", "summaryDescription" : "Postdoctoral Researcher at University Health Network. Skills: Data science, Data engineering, Machine learning, Business intelligence. Develop and implement data models. Build and maintain data pipelines", "postedDate" : "2026-06-12T14:03:59.000", "createdAt" : "2026-06-14T20:05:40.615", "lastUpdated" : "2026-06-16T00:34:02.576", "ingestTimestamp" : "2026-06-14T20:05:40.615", "mongoId" : "6a2c712274d8ee00a092d7db", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 54902, "salaryAnnualMax" : 93333, "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", "SQL", "Python", "R", "Spark", "Dbt", "Tableau", "Power BI", "Snowflake", "BigQuery", "Redshift", "Databricks", "Fivetran", "Airflow", "Scikit-learn", "TensorFlow", "PyTorch", "XGBoost", "LightGBM", "Hugging Face", "MLflow" ], "skillCount" : 35, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Entry", "dataQualityScore" : 1.0, "daysOld" : 3, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Healthcare", "llmIndustryConfidence" : 0.98 }, { "id" : "6a2d6fcb74d8ee00a0be37ea", "title" : "Postdoctoral Researcher", "company" : "University Health Network", "industry" : "Research", "salary" : { "min" : 54902.0, "max" : 93333.0, "currency" : "USD", "frequency" : "yearly" }, "location" : "Toronto, ON, Canada", "locations" : [ "Toronto", "ON", "Canada" ], "certifications" : [ "GCP Professional Data Engineer", "AWS Data Analytics", "Databricks Certified", "Dbt Certified" ], "timestamp" : "2026-06-15T09:29:56.467", "fingerprint" : "884361f632094082ec49e1206f454cc394e9ece8ddcfb7948cc32f039657aa8f", "source" : "smartrecruiters", "language" : "en", "applyUrl" : "https://jobs.smartrecruiters.com/UniversityHealthNetwork/744000131913639-postdoctoral-researcher", "externalId" : "744000131913639", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Toronto", "state" : "Ontario", "country" : "Canada", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "43.6534817,-79.3839347" } ], "locationText" : "Toronto, Ontario, Canada", "employmentType" : "FULL_TIME", "experienceLevel" : "not-applicable", "technicalSkills" : "Python, R, Scala, Spark, SQL, Dbt, Tableau, Power BI, Looker, Snowflake, BigQuery, Redshift, Databricks, Fivetran, Airflow, Delta Lake, Scikit-learn, TensorFlow, PyTorch, XGBoost, LightGBM, Hugging Face, MLflow, AWS, GCP, Azure, SageMaker, Vertex AI, ML Studio", "professionalSkills" : [ "Translational research", "Drug discovery", "Biomarker development", "Clinical translation", "Data harmonization", "Data integration", "Data governance" ], "hardSkillsList" : [ "AI/ML expertise", "Foundation models", "Transfer learning", "Statistical methods", "ML frameworks", "BI platforms", "Cloud data stacks", "Modelling skills", "Quantitative analysis", "Regression", "Classification", "Clustering", "Time-series analysis", "A/B testing", "Causal inference", "Genomic data analysis", "Transcriptomic data analysis", "Multi-omics data analysis", "Federated learning", "Secure distributed computing" ], "softSkillsList" : [ "Communication skills" ], "hardSkills" : [ { "name" : "AI/ML expertise", "level" : "intermediate" }, { "name" : "Foundation models", "level" : "intermediate" }, { "name" : "Transfer learning", "level" : "intermediate" }, { "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" }, { "name" : "Quantitative analysis", "level" : "intermediate" }, { "name" : "Regression", "level" : "intermediate" }, { "name" : "Classification", "level" : "intermediate" }, { "name" : "Clustering", "level" : "intermediate" }, { "name" : "Time-series analysis", "level" : "intermediate" }, { "name" : "A/B testing", "level" : "intermediate" }, { "name" : "Causal inference", "level" : "intermediate" }, { "name" : "Genomic data analysis", "level" : "intermediate" }, { "name" : "Transcriptomic data analysis", "level" : "intermediate" }, { "name" : "Multi-omics data analysis", "level" : "intermediate" }, { "name" : "Federated learning", "level" : "intermediate" }, { "name" : "Secure distributed computing", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Communication skills" } ], "majorSkills" : "AI/ML, Foundation models, Biomarker discovery, Drug discovery", "majorSkillsList" : [ "AI/ML", "Foundation models", "Biomarker discovery", "Drug discovery" ], "coreResponsibilities" : "Design multimodal drug foundation models, Integrate molecular graph representations, Integrate transcriptomic perturbation signatures, Integrate multi-omics cell-state representations, Develop transfer learning strategies, Support diverse drug prediction tasks, Build flexible AI/ML workflows, Reduce reliance on task-specific architectures, Enable generalization across therapeutic contexts, Architect secure computational infrastructure, Deploy scalable computational infrastructure, Develop agentic AI-enabled frameworks, Support harmonization of clinical data, Support annotation of genomic data, Support integration of transcriptomic data, Implement distributed analysis pipelines, Enable multi-cohort biomarker assessment, Develop systematic workflows to evaluate signatures, Assess predictive value of molecular signatures, Integrate biomarker discovery pipelines, Integrate immunotherapy inference pipelines, Support translational studies", "teamCollaboration" : "Interdisciplinary teams; Computational partners; Clinical partners; Industry partners", "domainKnowledge" : "Translational cancer research; Drug response prediction; ADMET profiling; Combinatorial drug synergy; Drug repurposing; Biomarker discovery; Treatment modalities; Genomic medicine; Rehabilitation medicine; Federated settings; Local data governance; AI-driven drug discovery; Multimodal biomedical data; Distributed analysis frameworks; Immune signatures; Stromal signatures; Mutation-based signatures; Pathway-level signatures; Treatment-response signatures; Chemotherapy; Targeted therapy; Immunotherapy; Clinical data warehouses", "domainList" : [ "translational-cancer-research", "drug-response-prediction", "admet-profiling", "combinatorial-drug-synergy", "drug-repurposing", "biomarker-discovery", "treatment-modalities", "genomic-medicine", "rehabilitation-medicine", "federated-settings", "local-data-governance", "ai-driven-drug-discovery", "multimodal-biomedical-data", "distributed-analysis-frameworks", "immune-signatures", "stromal-signatures", "mutation-based-signatures", "pathway-level-signatures", "treatment-response-signatures", "chemotherapy", "targeted-therapy", "immunotherapy", "clinical-data-warehouses" ], "domainSpecificKnowledge" : [ "Translational cancer research", "Drug response prediction", "ADMET profiling", "Combinatorial drug synergy", "Drug repurposing", "Biomarker discovery", "Treatment modalities", "Genomic medicine", "Rehabilitation medicine", "Federated settings", "Local data governance", "AI-driven drug discovery", "Multimodal biomedical data", "Distributed analysis frameworks", "Immune signatures", "Stromal signatures", "Mutation-based signatures", "Pathway-level signatures", "Treatment-response signatures", "Chemotherapy", "Targeted therapy", "Immunotherapy", "Clinical data warehouses" ], "toolProficiency" : [ "Dbt Cloud" ], "communicationSkills" : "Executive presentations; Technical documentation", "documentationSkills" : "Technical writing; Architecture diagrams", "continuousLearning" : "Opportunities for development; Opportunities for promotions", "innovationCreativity" : "Foundation models; Agentic AI approaches", "problemSolvingSkills" : "Root cause analysis; Debugging; Data-driven decision making; Troubleshooting", "outcomesObjectives" : "Build general-purpose drug foundation model; Advance AI-driven drug discovery; Advance biomarker development; Advance clinical translation", "qualificationsBasic" : "5+ years Python experience, SQL proficiency, Statistics degree, Computer Science degree, Mathematics degree", "qualificationsPreferred" : "PhD preferred, GCP Professional Data Engineer, AWS Data Analytics, Databricks Certified, Dbt Certified, Experience with clinical data harmonization, Experience designing scalable bioinformatics pipelines, Understanding of regulatory and data governance requirements, Prior collaborative work across computational and clinical research teams", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "UHN is Canada’s #1 hospital and the world’s #1 publicly funded hospital. With 10 sites and more than 44,000 TeamUHN members, UHN consists of Toronto General Hospital, Toronto Western Hospital, Princess Margaret Cancer Centre, Toronto Rehabilitation Institute, The Michener Institute of Education and West Park Healthcare Centre. As Canada's top research hospital, the scope of biomedical research and complexity of cases at UHN have made it a national and international source for discovery, education and patient care. UHN has the largest hospital-based research program in Canada, with major research in neurosciences, cardiology, transplantation, oncology, surgical innovation, infectious diseases, genomic medicine and rehabilitation medicine. UHN is a research hospital affiliated with the University of Toronto. UHN’s vision is to build A Healthier World and it’s only because of the talented and dedicated people who work here that we are continually bringing that vision closer to reality. [www.uhn.ca](https://www.uhn.ca/) Union: Non-Union Number of Vacancies: 1 New or Replacement Position: New Site: MaRS Department: PM Research Reports to: Senior Scientist Salary Range: $54,902 - $93,333 Per Year Hours: 37.5 Hours Per Week Shifts: Monday - Friday; Day Shifts Status: Temporary Full-time (2-Year Contract) Closing Date: June 26, 2026 Position Summary: We are seeking a postdoctoral researcher with strong expertise in AI/ML to join a major interdisciplinary initiative focused on developing foundation models and secure computational infrastructure for translational cancer research. The first major objective is to build a general-purpose drug foundation model capable of transfer learning across diverse prediction tasks, including mechanism of action classification, clinical drug response prediction in tumour subtypes, ADMET and toxicity profiling, combinatorial drug synergy, and drug repurposing. The goal is to move beyond task-specific architectures and datasets toward flexible models that can generalize across therapeutic contexts. The second major objective is to develop and apply secure, scalable, and privacy-preserving computational infrastructure to support biomarker discovery across diverse treatment modalities. This will include building agentic AI approaches to harmonize clinical, genomic, and transcriptomic data across public and private cohorts, while assessing the predictive value of DNA and RNA signatures in federated settings where sensitive data remain under local governance. Together, these efforts aim to advance AI-driven drug discovery, biomarker development, and clinical translation by integrating modern machine learning, multimodal biomedical data, and robust distributed analysis frameworks. The successful candidate will work in the Haibe-Kains Lab at the Princess Margaret Cancer Centre, University Health Network. Duties: * Design and implement multimodal drug foundation models that integrate molecular graph representations, bulk transcriptomic perturbation signatures, and multi-omics cell-state representations. * Develop transfer learning strategies to support diverse drug prediction tasks, including mechanism of action classification, clinical drug response prediction, ADMET and toxicity profiling, combinatorial drug synergy, and drug repurposing. * Build flexible AI/ML workflows that reduce reliance on task-specific architectures and enable generalization across therapeutic contexts, tumour subtypes, and treatment modalities. * Architect and deploy secure, scalable, and privacy-preserving computational infrastructure for biomarker discovery and translational cancer research. * Develop agentic AI-enabled frameworks to support the harmonization, annotation, quality control, and integration of clinical, genomic, and transcriptomic data across public cohorts and private institutional datasets. * Implement distributed and federated analysis pipelines in which each contributing dataset can be analysed separately, enabling multi-cohort biomarker assessment without raw data centralization. * Develop systematic workflows to evaluate published and user-specified DNA and RNA signatures, including immune, stromal, mutation-based, pathway-level, and treatment-response signatures. * Assess the predictive value of molecular signatures across cancer types and treatment modalities, including chemotherapy, targeted therapy, immunotherapy, and emerging therapeutic approaches. * Integrate biomarker discovery and immunotherapy inference pipelines with clinical data warehouses to support translational studies in collaboration with clinical, industry, and computational partners. * Contribute to responsible data sharing frameworks, data governance processes, IRB/ethics protocols, and regulatory documentation as required. * Collaborate closely with computational biologists, software developers, clinicians, and wet-lab scientists to build, validate, and translate predictive models and biomarker discovery workflows. ## Qualifications * Awarded a PhD within the previous 5 years, or an MD or DDS within the previous 10 years in a relevant quantitative or biomedical discipline, including but not limited to: Computational Biology, Bioinformatics, Systems Biology, or Quantitative Genomics; Machine Learning, Artificial Intelligence, Computer Science, or Data Science; Biostatistics, Biomedical Engineering, or related fields * Demonstrated experience developing or applying deep learning methods to molecular, biological, clinical, or multi-omics data. * Expertise in one or more modern AI/ML approaches relevant to foundation models or representation learning, such as graph neural networks, transformers, generative models, self-supervised learning, few-shot or zero-shot learning, or transfer learning. * Strong programming skills in Python and/or R, with practical experience using modern machine learning frameworks and tooling such as PyTorch, Hugging Face, PyTorch Geometric, Deep Graph Library, scikit-learn, or equivalent platforms. * Experience working with large-scale biomedical datasets, such as molecular graphs, transcriptomic perturbation profiles, multi-omics data, clinical genomics, electronic health record-derived data, or treatment-response datasets. * Proficiency with reproducible workflow management systems such as Snakemake, Nextflow, CWL, or equivalent pipeline frameworks. * Familiarity with cloud or high-performance computing environments, such as GCP, AWS, SLURM-based clusters, or equivalent infrastructure. * Understanding of data harmonization, privacy-preserving analysis, federated learning, secure distributed computing, or clinical data governance is highly desirable. * Strong publication record, commensurate with career stage, in computational biology, AI/ML, bioinformatics, biostatistics, biomedical data science, or related fields. * Excellent communication skills and ability to work collaboratively in interdisciplinary teams spanning computational biology, machine learning, software engineering, oncology, and clinical research. * Experience with clinical data harmonization (e.g., OMOP CDM, HL7 FHIR) is preferred. * Experience designing scalable bioinformatics pipelines for large-scale genomic or transcriptomic datasets, preferred. * Understanding of regulatory and data governance requirements in clinical research settings, preferred. * Prior collaborative work across computational and clinical or wet-lab research teams, preferred. ## Additional Information Why join UHN? In addition to working alongside some of the most talented and inspiring healthcare professionals in the world, UHN offers a wide range of benefits, programs and perks. It is the comprehensiveness of these offerings that makes it a differentiating factor, allowing you to find value where it matters most to you, now and throughout your career at UHN. * Competitive offer packages * Government organization and a member of the Healthcare of Ontario Pension Plan (HOOPP ) * Close access to Transit and UHN shuttle service * A flexible work environment * Opportunities for development and promotions within a large organization * Additional perks (multiple corporate discounts including: travel, restaurants, parking, phone plans, auto insurance discounts, on-site gyms, etc.) Current UHN employees must have successfully completed their probationary period, have a good employee record along with satisfactory attendance in accordance with UHN's attendance management program, to be eligible for consideration. All applications must be submitted before the posting close date. UHN uses email to communicate with selected candidates. Please ensure you check your email regularly. Please be advised that a Criminal Record Check may be required of the successful candidate. Should it be determined that any information provided by a candidate be misleading, inaccurate or incorrect, UHN reserves the right to discontinue with the consideration of their application. UHN is an equal opportunity employer committed to an inclusive recruitment process and workplace. Requests for accommodation can be made at any stage of the recruitment process. Applicants need to make their requirements known. We thank all applicants for their interest, however, only those selected for further consideration will be contacted.", "summaryDescription" : "Postdoctoral Researcher at University Health Network. Skills: AI/ML, Foundation models, Biomarker discovery, Drug discovery. Design multimodal drug foundation models. Integrate molecular graph representations", "postedDate" : "2026-06-12T14:03:59.000", "createdAt" : "2026-06-14T07:12:22.256", "lastUpdated" : "2026-06-15T09:29:56.467", "ingestTimestamp" : "2026-06-14T07:12:22.256", "mongoId" : "6a2d6fcb74d8ee00a0be37ea", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 54902, "salaryAnnualMax" : 93333, "salaryBand" : "50k-75k", "hasSalary" : true, "allSkills" : [ "AI/ML expertise", "Foundation models", "Transfer learning", "Statistical methods", "ML frameworks", "BI platforms", "Cloud data stacks", "Modelling skills", "Quantitative analysis", "Regression", "Classification", "Clustering", "Time-series analysis", "A/B testing", "Causal inference", "Genomic data analysis", "Transcriptomic data analysis", "Multi-omics data analysis", "Federated learning", "Secure distributed computing", "Communication skills", "AI/ML", "Biomarker discovery", "Drug discovery", "Translational research", "Biomarker development", "Clinical translation", "Data harmonization", "Data integration", "Data governance", "Translational cancer research", "Drug response prediction", "ADMET profiling", "Combinatorial drug synergy", "Drug repurposing", "Treatment modalities", "Genomic medicine", "Rehabilitation medicine", "Federated settings", "Local data governance", "AI-driven drug discovery", "Multimodal biomedical data", "Distributed analysis frameworks", "Immune signatures", "Stromal signatures", "Mutation-based signatures", "Pathway-level signatures", "Treatment-response signatures", "Chemotherapy", "Targeted therapy", "Immunotherapy", "Clinical data warehouses", "GCP Professional Data Engineer", "AWS Data Analytics", "Databricks Certified", "Dbt Certified", "Dbt Cloud" ], "skillCount" : 57, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Entry", "dataQualityScore" : 1.0, "daysOld" : 2, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Healthcare", "llmIndustryConfidence" : 0.95 }, { "id" : "6a1614ed58b93c861e8d8761", "title" : "Student Ed Training Program", "industry" : "Education", "salary" : { "min" : 35000.0, "max" : 55000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "The estimation is based on the entry-level internship market baseline for the Education industry in Texas, USA, adjusted for the specified seniority and employment type." }, "location" : "TEXAS", "locations" : [ "TEXAS" ], "timestamp" : "2026-06-15T09:44:50.760", "fingerprint" : "cad924d98697dacbaa379d04d8fc9fd0d9191c9edfcd3bb73b5c303e3a674b85", "source" : "taleo", "language" : "en", "applyUrl" : "https://aa210.taleo.net/careersection/ex/jobdetail.ftl?job=192239", "externalId" : "192239", "industryFunction" : { }, "structuredLocations" : [ { "state" : "Texas", "country" : "United States", "continent" : "na", "workMode" : "onsite" } ], "locationText" : "Texas, United States", "employmentType" : "INTERNSHIP", "minimumEducation" : "High School", "experienceMinYears" : 0, "experienceMaxYears" : 2, "experienceLevel" : "Entry", "technicalSkills" : "Word, Excel, PowerPoint", "coreResponsibilities" : "Complete project tasks, Carry out department functions, Support department activities, Participate in meetings, Participate in summary activity, Adhere to confidentiality policies, Request assistance when needed, Maintain decorum, Adhere to policies, Complete summary document", "teamCollaboration" : "Collaborate with mentor; Collaborate with stakeholders; Work in team setting; Work in department setting", "communicationSkills" : "Oral communication; Written communication", "documentationSkills" : "Internship summary document", "continuousLearning" : "Attendance at conferences; Professional development", "specialRequirements" : "Occasional walking, Occasional standing, Occasional bending, Occasional stooping, Occasional kneeling, Occasional crouching, Occasional crawling, Lifting less than 40 pounds, Use hands to finger, Use hands to handle, Use hands to feel, Reach with hands, Talk or hear, Close vision, Color vision, Adjust focus, Prolonged hours, Irregular hours, Maintain emotional control", "qualificationsBasic" : "Current High School Student, Completion of CTE program, Participation in CTE program, Ability to establish relationships, Excellent communication skills, Ability to adhere to policies, Ability to maintain relationships, Possess moral and ethical compass, Ability to follow policies", "qualificationsPreferred" : "Current participation in CTE program of study", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Job Overview The Student Intern PT GR is responsible for the matriculation and successful completion of district internship program(s). The Student Intern PT GR is responsible for implementation of the mission and vision of the assigned department in and through the assigned projects utilizing real world practices, evolving skill sets, attitudes, and behaviors. The incumbent will collaborate with various stakeholders to ensure successful execution and completion of the project(s) while meeting compliance requirements of the district, local, state, and federal policies. Position Description Essential Duties and Responsibilities Collaborative Community Collaborate with assigned mentor and other stakeholders to complete project tasks in a timely manner Work in a self-contained, team, and department setting at the assigned district location to carry out the department functions Support and participate in department activities including meetings Participate in the end-of-year internship program summary activity Self Management Adhere to district confidentiality policies Request assistance when needed in order to ensure tasks are completed with fidelity Maintain a positive and professional decorum Adhere to district and department employee policies and procedures Complete the internship summary document within the allotted time frame Qualification Requirements To perform this job successfully, an individual must be able to perform each of the above essential duties satisfactorily. The requirements listed below are representative of the knowledge, skill, and/or abilities, required unless otherwise stated as preferred. Reasonable accommodations may be made to enable individuals with disabilities to perform the essentials functions. Current High School Student Completion of or current participation in CTE program of study Ability to establish and maintain effective relationships with employers, peers, and community members as required by department Excellent communication skills, both oral and written required Ability to adhere to specific department polices and procedures Ability to maintain professional and productive relationships with peers and other stakeholders Possess a moral and ethical compass Ability to follow policies and procedures Working knowledge of technology and software programs including Word, Excel, and PowerPoint Good communication skills both orally and in writing Ability to multi-task and meet deadlines Physical Requirements/Working Conditions The work environment characteristics and physical demands described here are representative of those an employee encounters while performing the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. Work is performed in classrooms, offices, work stations and meeting rooms. The position requires occasional walking, standing, sitting, bending, stooping, kneeling, crouching, crawling, and lifting/carrying work related items weighing less than 40 pounds, such as books, papers and presentation materials. The employee is regularly required to use hands to finger, handle, or feel objects, tools, or controls; reach with hands and arms; and talk or hear. Specific vision abilities required by this job include close vision, color vision, and the ability to adjust focus. Attendance at conferences and professional development is required. Work involves everyday risks and discomforts which require normal safety precautions when operating equipment or performing job duties. May work prolonged or irregular hours and must be able to maintain emotional control under stress. Additional Information This position is funded by grant funds. This position may be discontinued if grant funds are no longer available. TEXAS", "summaryDescription" : "Student Ed Training Program. Complete project tasks. Carry out department functions", "createdAt" : "2026-06-14T07:58:36.261", "lastUpdated" : "2026-06-15T09:44:50.760", "ingestTimestamp" : "2026-06-14T07:58:36.261", "mongoId" : "6a1614ed58b93c861e8d8761", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 35000, "salaryAnnualMax" : 55000, "salaryBand" : "30k-50k", "hasSalary" : true, "allSkills" : [ ], "skillCount" : 0, "jobCategory" : "general", "jobSubcategory" : "general", "seniorityLevel" : "Entry", "dataQualityScore" : 0.6666667, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "Education", "llmIndustryConfidence" : 0.95 }, { "id" : "6a19719958b93c861e516da7", "title" : "Research Associate", "company" : "Beckman Research Institute", "industry" : "Healthcare", "salary" : { "min" : 58000.0, "max" : 75000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Junior Research Associate in Duarte, California, adjusted for the biotech industry and company size." }, "location" : "United States-California-Duarte", "locations" : [ "United States-California-Duarte", "Research", "Hybrid, Days, Days" ], "timestamp" : "2026-06-15T07:04:20.839", "fingerprint" : "7cc83688a283e9f49225e6c24c35f26ad011b746bcb0a0de11eaecf105f95a84", "source" : "taleo", "language" : "en", "applyUrl" : "https://aa067.taleo.net/careersection/ex/jobdetail.ftl?job=240085", "externalId" : "240085", "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", "experienceMinYears" : 0, "experienceMaxYears" : 2, "coreResponsibilities" : "Support supportive care studies, Support cancer studies, Support aging studies", "domainKnowledge" : "Cancer research; Diabetes research; Aging research", "domainList" : [ "cancer-research", "diabetes-research", "aging-research" ], "domainSpecificKnowledge" : [ "Cancer research", "Diabetes research", "Aging research" ], "qualificationsBasic" : "Bachelor's degree", "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. The Research and Training Division under Dr. William Dale is seeking a Research Associate I to support supportive care, cancer and aging studies conducted by a multidisciplinary research team. Dr. Dale has devoted his career to the care of older adults with cancer and older cancer survivors. He founded and directs the award-winning Specialized Oncology Care and Research in Elders (SOCARE), designated as part of the American Hospital Association’s Age-Friendly Health System, along with two other OASIS programs at City of Hope. SOCARE offers interdisciplinary, personalized care that optimizes life quality for vulnerable older adults. He has over 250 publications on optimizing care for vulnerable patients, especially older adults and their families. He has been continuously funded by the National Institute on Health, National Cancer Institute, American Cancer Society, the Rising Tide Foundation, among others. He is a principal investigator for a national infrastructure grant from National Institutes of Health to create a network of investigators in cancer and aging across the country. Your qualifications should include: · Bachelor’s degree with 0-2 years of research/laboratory 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" : "Research Associate at Beckman Research Institute. Support supportive care studies. Support cancer studies", "createdAt" : "2026-06-14T02:19:47.458", "lastUpdated" : "2026-06-15T07:04:20.839", "ingestTimestamp" : "2026-06-14T02:19:47.458", "mongoId" : "6a19719958b93c861e516da7", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 58000, "salaryAnnualMax" : 75000, "salaryBand" : "50k-75k", "hasSalary" : true, "allSkills" : [ "Cancer research", "Diabetes research", "Aging research" ], "skillCount" : 3, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Junior", "dataQualityScore" : 0.6666667, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Biotech", "llmIndustryConfidence" : 0.95 }, { "id" : "6a3051d6f292fd229cf07a7f", "title" : "Research Associate - 6 months Contract", "company" : "Third Bridge", "salary" : { "min" : 120000.0, "max" : 180000.0, "currency" : "CNY", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for an entry-level Research Associate in Shanghai, China, adjusted for contract employment and the specific industry." }, "location" : "Bohua Plaza 655临 Xin Zha Lu, 655, Jing An Qu, China, 200071", "locations" : [ "Bohua Plaza 655临 Xin Zha Lu", "655", "Jing An Qu", "China", "200071" ], "timestamp" : "2026-06-16T07:46:15.495", "fingerprint" : "9036792a9485401fd842cef6ca53e87e1423e3185de1af70ff9bf2c2511da1dd", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.eu.greenhouse.io/thirdbridge/jobs/4892061101?gh_jid=4892061101", "externalId" : "4892061101", "industryFunction" : { }, "structuredLocations" : [ { "country" : "China", "continent" : "as", "workMode" : "onsite" } ], "locationText" : "China", "employmentType" : "CONTRACT", "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. Why Join Us? The Research Associate position sits within our Library division, which is responsible for publishing research that allows institutional investors to make better and faster investment decisions. We conduct in depth Interviews with senior executives and industry specialists to proactively unearth critical insights and generate unfiltered transcripts. We are looking to recruit an Associate to assist our growing team in Hong Kong, where they will identify and engage with the most relevant industry professionals to convince them to take part in upcoming interview discussions with our team of analysts. Want to get a feel for some of the topics you might work on? Have a look at some of the recent press coverage our work has attracted. 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 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. 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. Collaborate with Sector Analysts – Work closely with our Sector Analysts to help shape their work, including crafting the angles they pursue and developing insightful questions for their expert interviews. Drive Client Impact – Help to uncover critical insights via unfiltered transcripts that inform smarter, faster investment decisions. What You’ll Gain Develop foundational commercial and sector technical skills: you'll hone a wide range of transferrable skills, including problem-solving, communication, and negotiation Be exposed to a wide range of industries: connect daily over the phone with top experts in their fields, uncovering impactful and meaningful insights Learn about financial markets and the factors that shape them: sit at the crux of key market events and catalysts, helping our analysts and top-tier institutional investor clients separate signal from noise Fast-track your growth: there is clear career advancement for strong performers into analyst, delivery or leadership roles within 2 years. What We’re Looking For Bachelor’s degree Strong academic standing from a top-tier university. Degrees in engineering, technical studies advantageous for one of the semiconductor/tech hardware-focused roles. Ambitious multitaskers who thrive under pressure and tight deadlines. Strong communicators who can build relationships and influence industry leaders. Fluency in English is required; Professional fluency in Mandarin is highly preferred for one of the available openings. Problem solvers who love breaking down industries and thinking on their feet. Driven self-starters who embrace feedback and chase top performance. Prior work/internship experience; the level of experience may vary, but what matters is your curiosity, drive and ambition Immediate availability is desirable Benefits: Vacation: 15 days (which increases to 20 days after 2 years of service) Learning: a Personal Development Allowance which can be used for learning programs and other tools to further your development Future and family: pension scheme and Vitality Private medical insurance Flexibility: work from anywhere for one month per year, 2 annual volunteer days, 2 personal days when life throws you a curveball, and 'Summer Fridays' Social: weekly optional social gatherings, daily breakfast and snacks, social events ESG: CSR, Environment, and Diversity & Inclusion (including Women at Third Bridge, Pride, and Blkbridge) Frontline Innovation: your chance to share your ideas for improvement through Hackathons and other events 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 - 6 months Contract at Third Bridge", "postedDate" : "2026-06-15T23:20:09.519", "createdAt" : "2026-06-15T23:20:09.519", "lastUpdated" : "2026-06-16T07:46:15.495", "ingestTimestamp" : "2026-06-15T23:20:09.519", "mongoId" : "6a3051d6f292fd229cf07a7f", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "100k-150k", "hasSalary" : false, "allSkills" : [ ], "skillCount" : 0, "jobCategory" : "sales", "jobSubcategory" : "revenue", "seniorityLevel" : "Entry", "dataQualityScore" : 0.7777778, "daysOld" : 0, "hasLocation" : true, "hasGeo" : false, "llmIndustryConfidence" : 0.92 }, { "id" : "6a2ca61674d8ee00a09b96c8", "title" : "Research Associate I, Research Lab Operations", "company" : "Revolution Medicines", "salary" : { "min" : 67000.0, "max" : 81000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Redwood City, California, United States", "locations" : [ "Redwood City", "California", "United States" ], "timestamp" : "2026-06-16T04:23:09.102", "fingerprint" : "62ce3fdd87de8e746cb9df4573e950e4267ebc68a34f64722179e914afbb266d", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://www.revmed.com/careers-list/?gh_jid=7772181003", "externalId" : "7772181003", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Redwood City", "state" : "California", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "37.4863239,-122.2325230" } ], "locationText" : "Redwood City, California, United States", "employmentType" : "FULL_TIME", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Revolution Medicines is a late-stage clinical oncology company developing novel targeted therapies for patients with RAS-addicted cancers. The company’s R elironrasib (RMC-6291), a RAS(ON) G12C-selective inhibitor; zoldonrasib (RMC-9805), a RAS(ON) G12D-selective inhibitor; and RMC-5127, a RAS(ON) G12V-selective inhibitor, are currently in clinical development. As a new member of the Revolution Medicines team, you will join other outstanding professionals in a tireless commitment to patients with cancers harboring mutations in the RAS signaling pathway. The Opportunity: We are looking for an in vivo research associate to independently execute routine animal care, husbandry, and facility maintenance to support research activities and maintain a high-quality laboratory environment. Required Skills, Experience and Education: Experience in husbandry for laboratory mice and animal facility maintenance. Detail-oriented and comfortable keeping laboratory records. Reliably commute or planning to relocate before starting work to Redwood City, CA. Physical Demands: Activities may require standing for extended periods. Able to carry and lift to 50 pounds, maneuver items and carts exceeding 50 pounds. Responsibilities: Maintain high standards of animal welfare and report any health concerns to appropriate personnel. Husbandry in laboratory mice including: cage changing, provide food and water, provide housing and enrichment. Receive, house, and inspect incoming mice. Routinely and accurately fill out laboratory records including: daily animal health checks, room temperature/humidity readings, cleaning/husbandry, and facility maintenance. Cleaning and maintenance of a pathogen free animal research facility. Perform routine removal and disposal of multiple waste streams, including biohazardous waste, ensuring proper labeling and compliance. Restock supplies. Communicate using Microsoft Outlook and Teams. Follow protocols and operate equipment with training such as: changing stations, autoclave, and hydrogen peroxide vaporizer. Comply with safety requirements such as PPE and biohazardous waste disposal. Familiarity with Zoom and Studylog a plus. The base pay salary range for this full-time position for candidates working onsite at our headquarters in Redwood City, CA is listed below. The range displayed on each job posting is intended to be the base pay salary range for an individual working onsite in Redwood City and will be adjusted for the local market a candidate is based in. Our base pay salary ranges are determined by role, level, and location. Individual base pay salary is determined by multiple factors, including job-related skills, experience, market dynamics, and relevant education or training. Please note that base pay salary range is one part of the overall total rewards program at RevMed, which includes competitive cash compensation, robust equity awards, strong benefits, and significant learning and development opportunities. Revolution Medicines is an equal opportunity employer and prohibits unlawful discrimination based on race, color, religion, gender, sexual orientation, gender identity/expression, national origin/ancestry, age, disability, marital status, medical condition, and veteran status. Revolution Medicines takes protection and security of personal data very seriously and respects your right to privacy while using our website and when contacting us by email or phone. We will only collect, process and use any personal data that you provide to us in accordance with our CCPA Notice and Privacy Policy. For additional information, please contact privacy@revmed.com. Base Pay Salary Range $67,000—$81,000 USD We are aware of recent recruitment scams in which individuals or organizations falsely represent themselves as being affiliated with Revolution Medicines. These scams may appear as false job advertisements or unsolicited contacts through communication or chat platforms, email, phone, or text message. Please note that Revolution Medicines does not extend unsolicited employment offers and will never ask candidates to provide financial information, purchase equipment, or pay fees as part of the hiring process. All legitimate communication from Revolution Medicines will come from an official @revmed.com email address. If you believe you’ve been contacted by someone impersonating a Revolution Medicines recruiter, please report it to careers@revmed.com so we can share these impersonations with our IT team for tracking and awareness.", "summaryDescription" : "Research Associate I, Research Lab Operations at Revolution Medicines", "postedDate" : "2026-06-14T19:20:38.018", "createdAt" : "2026-06-14T19:20:38.018", "lastUpdated" : "2026-06-16T04:23:09.102", "ingestTimestamp" : "2026-06-14T19:20:38.018", "mongoId" : "6a2ca61674d8ee00a09b96c8", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 67000, "salaryAnnualMax" : 81000, "salaryBand" : "50k-75k", "hasSalary" : true, "allSkills" : [ ], "skillCount" : 0, "jobCategory" : "operations", "jobSubcategory" : "general", "seniorityLevel" : "Entry", "dataQualityScore" : 0.7777778, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Biotech", "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" : "6a3067aef292fd229cfc082a", "title" : "Program Associate, Investment Analytics", "company" : "Global Atlantic Financial Company", "industry" : "Insurance", "salary" : { "min" : 160000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "New York, New York, United States", "locations" : [ "New York", "New York", "United States" ], "timestamp" : "2026-06-16T08:02:49.832", "fingerprint" : "66582acd5e30e8b7720c7f38b106230bb2cb3ef12535f230a68fd47b5b5cb03c", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://www.kkr.com/careers/career-opportunities/post?gh_jid=6026836004", "externalId" : "6026836004", "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" : "Master's", "remoteFriendly" : false, "rawDescription" : "COMPANY OVERVIEW KKR is a leading global investment firm that offers alternative asset management as well as capital markets and insurance solutions. KKR aims to generate attractive investment returns by following a patient and disciplined investment approach, employing world-class people, and supporting growth in its portfolio companies and communities. KKR sponsors investment funds that invest in private equity, credit and real assets and has strategic partners that manage hedge funds. KKR’s insurance subsidiaries offer retirement, life and reinsurance products under the management of Global Atlantic Financial Group. References to KKR’s investments may include the activities of its sponsored funds and insurance subsidiaries. Global Atlantic is a leading provider of retirement security and investment solutions with operations in the U.S., Bermuda, and Japan. As a wholly-owned subsidiary of KKR (NYSE: KKR), a leading global investment firm, Global Atlantic combines deep insurance expertise with KKR’s powerful investment capabilities to deliver long-term financial security for millions of individuals worldwide. With a broad suite of annuity, preneed life insurance, reinsurance, and investment solutions, Global Atlantic, through its issuing companies, helps people achieve their financial goals with confidence. For more information, please visit www.globalatlantic.com. EMPLOYER: Global Atlantic Financial Company (a KKR company) RESPONSIBILITIES • Member of the Sector Analytics team, which is responsible for working with different portfolio management teams to provide analytical and quantitative solutions to investment and asset management. • Build, enhance and support the next generation of asset modeling and analytics platforms built on AWS. • Work with senior team members to address various requests from portfolio management teams and other internal stakeholders. • Collaborate with portfolio teams to provide cash flows and analytics for commercial assets, including commercial mortgage loans, CMBS, and other related assets. • Analyze asset historic performance data, identify key drivers and create business intelligence reports. • Contribute to the development and testing of the new asset modeling and analytics platform. • Work with other team members to build investment-oriented applications to improve the efficiency of investment management. QUALIFICATIONS Master’s degree (U. S. or foreign equivalent) in Finance, Financial Engineering, Statistics, Computer Science or a related quantitative field plus one (1) year of experience in the job offered or one (1) year of experience in investment analytics or related role. The employer will alternatively accept a Bachelor’s degree (U. S. or foreign equivalent) in Finance, Financial Engineering, Statistics, Computer Science or a related quantitative field plus three (3) years of experience in the job offered or three (3) years of experience in investment analytics or related role. One (1) year of experience: working with Python and Python data analysis packages (e. g. pandas, numpy, and scipy); understanding of database and handling complex query to large data tables; experience with Tableau; working with financial instruments; excel Proficiency in Pivot tables, and complex financial functions to calculate cashflows and yields; and building and maintaining investment-oriented applications on the Beacon platform. Location: 30 Hudson Yards, New York, NY 10001 Job Type: Full-time, 40 Hours a week, Monday-Friday Salary: $160,000 - $160,000 per year. #LI-DNI KKR is an equal opportunity employer. Individuals seeking employment are considered without regard to race, color, religion, national origin, age, sex, marital status, ancestry, physical or mental disability, veteran status, sexual orientation, or any other category protected by applicable law. KKR will provide reasonable accommodations as required by applicable federal, state, and/or local laws. Individuals seeking an accommodation for the application or interview process should email Benefits@kkr.com. Emails sent for unrelated issues, such as following up on an application, will not receive a response. If you are a qualified individual with a disability or a disabled veteran, you may request a reasonable accommodation if you are unable or limited in your ability to use or access https://www.kkr.com/careers because of your disability. You can request reasonable accommodations by sending an email to Benefits@kkr.com. Only emails left for this purpose will be returned. Massachusetts Applicants: It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability. This notice applies only to applicants and employees who work or will work in Massachusetts, in accordance with applicable state law.", "summaryDescription" : "Program Associate, Investment Analytics at Global Atlantic Financial Company", "postedDate" : "2026-06-15T23:26:53.850", "createdAt" : "2026-06-15T23:26:53.850", "lastUpdated" : "2026-06-16T08:02:49.832", "ingestTimestamp" : "2026-06-15T23:26:53.850", "mongoId" : "6a3067aef292fd229cfc082a", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 160000, "salaryBand" : "150k-200k", "hasSalary" : true, "allSkills" : [ ], "skillCount" : 0, "jobCategory" : "finance", "jobSubcategory" : "accounting", "seniorityLevel" : "Junior", "dataQualityScore" : 0.7777778, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Financial Services", "llmIndustryConfidence" : 0.95 }, { "id" : "6a2d6fcb74d8ee00a0be37e7", "title" : "Postdoctoral Researcher", "company" : "University Health Network", "industry" : "Hospital And Health Care", "salary" : { "min" : 60000.0, "max" : 75000.0, "currency" : "USD", "frequency" : "yearly" }, "location" : "Toronto, Ontario, Canada", "locations" : [ "Toronto", "Ontario", "Canada" ], "timestamp" : "2026-06-16T04:32:03.275", "fingerprint" : "ed4da80e7c00b962ace59dc29cf0a85cd42154cd4568ce14a7f2e6b9a993d246", "source" : "smartrecruiters", "language" : "en", "applyUrl" : "https://jobs.smartrecruiters.com/UniversityHealthNetwork/744000131924480-postdoctoral-researcher", "externalId" : "744000131924480", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Toronto", "state" : "Ontario", "country" : "Canada", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "43.6534817,-79.3839347" } ], "locationText" : "Toronto, Ontario, Canada", "employmentType" : "CONTRACT", "experienceLevel" : "not-applicable", "remoteFriendly" : false, "rawDescription" : "UHN is Canada’s #1 hospital and the world’s #1 publicly funded hospital. With 10 sites and more than 44,000 TeamUHN members, UHN consists of Toronto General Hospital, Toronto Western Hospital, Princess Margaret Cancer Centre, Toronto Rehabilitation Institute, The Michener Institute of Education and West Park Healthcare Centre. As Canada's top research hospital, the scope of biomedical research and complexity of cases at UHN have made it a national and international source for discovery, education and patient care. UHN has the largest hospital-based research program in Canada, with major research in neurosciences, cardiology, transplantation, oncology, surgical innovation, infectious diseases, genomic medicine and rehabilitation medicine. UHN is a research hospital affiliated with the University of Toronto. UHN’s vision is to build A Healthier World and it’s only because of the talented and dedicated people who work here that we are continually bringing that vision closer to reality. [www.uhn.ca](https://www.uhn.ca/) Union : Non-Union Number of Vacancies : 1 New or Replacement Position : New Site : Princess Margaret Cancer Centre Department: Research Reports to: Principal Investigator Salary Range : $60,000 - $75,000 annually Hours: 37.5 hours a week Shifts: Monday - Friday Status : Temporary Full-Time (1 year contract) Closing Date : June 30, 2026 Position Summary Our lab is a multidisciplinary research program based at the Princess Margaret Cancer Centre (UHN) and closely integrated with the Structural Genomics Consortium (SGC). We operate at the intersection of clinical oncology, experimental biology, and computational genomics, with a focus on decoding chromatin architecture and epigenetic regulation in cancer. Our work combines 3D genome mapping, functional epigenomics, and multi-omic integration to understand tumor heterogeneity and identify clinically actionable regulatory mechanisms. A central goal of the lab is to translate epigenomic insights into precision oncology strategies, including biomarker development and epigenome-informed therapeutic approaches. We are seeking a highly motivated Postdoctoral Fellow to lead experimental efforts focused on 3D genome organization in cancer. The successful candidate will drive projects integrating chromatin architecture with transcriptional and regulatory landscapes, using a combination of bulk, single-cell, and spatial epigenomics approaches. The role includes substantial opportunity to develop independent research directions, contribute to high-impact publications, and engage in translational research aligned with precision medicine. This is an ideal position for candidates interested in working at the interface of experimental and computational epigenomics, within a collaborative and high-impact research environment. Duties * Design and execute independent research projects centered on 3D genome organization in cancer. * Perform and optimize chromatin conformation assays, including HiChIP, HiC and related targeted 3D genome methods. * Generate and integrate complementary epigenomic datasets, including ATAC-seq, CUT&RUN, CUT&Tag. * Contribute to or initiate single-cell and spatial multi-omics projects. * Work with patient-derived organoid models. * Perform and optimize NGS library preparation protocols across multiple assay types. * Collaborate closely with computational scientists for data analysis and interpretation. * Lead manuscript preparation and contribute to grant development. * Mentor trainees and contribute to a collaborative lab environment. ## Qualifications * Ph.D. in Molecular Biology, Cancer Biology, Genomics, or a related field, required * Strong experimental background in functional genomics and epigenomics assays. * Hands-on experience with next-generation sequencing (NGS) library preparation. * Experience with chromatin-based assays, for example ATAC-seq, HiC-based methods, CUT&RUN. * Proven ability to independently design and execute experiments. * Strong publication record. * Excellent communication skills and fluency in English, written and spoken. * Ability to work effectively in a collaborative, multidisciplinary environment. * Direct experience with 3D genome assays, such as Hi-C, HiChIP, Capture-C, or related methods, an asset * Experience with organoid culture systems, an asset * Exposure to single-cell or spatial genomics technologies, an asset * Basic familiarity with computational analysis of genomic data, such as R/Python, an asset ## Additional Information Why join UHN? In addition to working alongside some of the most talented and inspiring healthcare professionals in the world, UHN offers a wide range of benefits, programs and perks. It is the comprehensiveness of these offerings that makes it a differentiating factor, allowing you to find value where it matters most to you, now and throughout your career at UHN. * Competitive offer packages * Government organization and a member of the Healthcare of Ontario Pension Plan (HOOPP ) * Close access to Transit and UHN shuttle service * A flexible work environment * Opportunities for development and promotions within a large organization * Additional perks (multiple corporate discounts including: travel, restaurants, parking, phone plans, auto insurance discounts, on-site gyms, etc.) Current UHN employees must have successfully completed their probationary period, have a good employee record along with satisfactory attendance in accordance with UHN's attendance management program, to be eligible for consideration. All applications must be submitted before the posting close date. UHN uses email to communicate with selected candidates. Please ensure you check your email regularly. Please be advised that a Criminal Record Check may be required of the successful candidate. Should it be determined that any information provided by a candidate be misleading, inaccurate or incorrect, UHN reserves the right to discontinue with the consideration of their application. UHN is an equal opportunity employer committed to an inclusive recruitment process and workplace. Requests for accommodation can be made at any stage of the recruitment process. Applicants need to make their requirements known. We thank all applicants for their interest, however, only those selected for further consideration will be contacted.", "summaryDescription" : "Postdoctoral Researcher at University Health Network", "postedDate" : "2026-06-12T14:56:07.000", "createdAt" : "2026-06-14T19:50:46.734", "lastUpdated" : "2026-06-16T04:32:03.275", "ingestTimestamp" : "2026-06-14T19:50:46.734", "mongoId" : "6a2d6fcb74d8ee00a0be37e7", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 60000, "salaryAnnualMax" : 75000, "salaryBand" : "50k-75k", "hasSalary" : true, "allSkills" : [ ], "skillCount" : 0, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Entry", "dataQualityScore" : 0.8888889, "daysOld" : 3, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Healthcare", "llmIndustryConfidence" : 0.95 }, { "id" : "6a305ed5f292fd229cf74b67", "title" : "Program Manager – B2C Training & Enablement (f/m/d)", "company" : "Zenjob", "industry" : "Operations", "salary" : { "min" : 58000.0, "max" : 75000.0, "currency" : "EUR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "The estimated salary is based on market data for a Junior Program Manager in the Technology industry in Berlin, Germany, with mid-level experience, adjusted for company size and full-time employment." }, "location" : "Berlin", "locations" : [ "Berlin" ], "timestamp" : "2026-06-16T11:21:51.639", "fingerprint" : "5e749e0f007864bc50789195df26a6b2abd7746d530dfe10f2df177df824c502", "source" : "ashby", "language" : "de", "applyUrl" : "https://jobs.ashbyhq.com/zenjob/9daab10f-675c-4508-bc46-42076c53f76d/application", "externalId" : "9daab10f-675c-4508-bc46-42076c53f76d", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Berlin", "country" : "Germany", "continent" : "eu", "source" : "llm", "workMode" : "hybrid", "geo" : "52.5173885,13.3951309" } ], "locationText" : "Berlin, Germany", "employmentType" : "FULL_TIME", "experienceMinYears" : 2, "experienceMaxYears" : 3, "experienceLevel" : "Mid", "technicalSkills" : "Google Suite, LMS, Asana, N8n", "professionalSkills" : [ "Program management", "Project management", "Learning & Development", "Enablement", "Operations", "Instructional Design", "Training conception", "Stakeholder management", "Data analysis", "Automation" ], "hardSkillsList" : [ "Upskilling", "Onboarding", "KPI definition", "Impact measurement", "Process automation", "LMS administration", "LMS configuration", "LMS optimization" ], "softSkillsList" : [ "Data affinity", "Hands-on mentality" ], "hardSkills" : [ { "name" : "Upskilling", "level" : "intermediate" }, { "name" : "Onboarding", "level" : "intermediate" }, { "name" : "KPI definition", "level" : "intermediate" }, { "name" : "Impact measurement", "level" : "intermediate" }, { "name" : "Process automation", "level" : "intermediate" }, { "name" : "LMS administration", "level" : "intermediate" }, { "name" : "LMS configuration", "level" : "intermediate" }, { "name" : "LMS optimization", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Data affinity" }, { "name" : "Hands-on mentality" } ], "majorSkills" : "Enablement initiatives, Upskilling initiatives, Training development, Cross-functional collaboration, Impact measurement", "majorSkillsList" : [ "Enablement initiatives", "Upskilling initiatives", "Training development", "Cross-functional collaboration", "Impact measurement" ], "coreResponsibilities" : "Own enablement initiatives end-to-end, Own upskilling initiatives end-to-end, Develop training formats for onboarding, Develop training formats for first shift, Develop training formats for upskilling, Collaborate with Operations, Collaborate with Product, Embed enablement into processes, Define KPIs, Analyze what works, Iterate solutions, Build sustainable structures, Automate where sensible, Administer Learning Management System, Configure Learning Management System, Optimize Learning Management System", "teamCollaboration" : "Cross-functional collaboration; Work with Operations; Work with Product", "projectManagementSkills" : [ "Program management", "Project management", "Initiative structuring", "Stakeholder juggling", "Reliable delivery" ], "domainKnowledge" : "B2C Training; Talent Enablement; Talent Journey; Upskilling; Marketplace business models", "domainList" : [ "b2c-training", "talent-enablement", "talent-journey", "upskilling", "marketplace-business-models" ], "domainSpecificKnowledge" : [ "B2C Training", "Talent Enablement", "Talent Journey", "Upskilling", "Marketplace business models" ], "toolProficiency" : [ "Google Suite", "LMS", "Asana", "N8n" ], "communicationSkills" : "Convey complex content; Stakeholder updates", "continuousLearning" : "Personal development; Mentoring opportunities; Career development talks; Training budget", "innovationCreativity" : "Design new programs; Creative program design", "problemSolvingSkills" : "Data-driven decisions; Measure impact", "outcomesObjectives" : "Measure enablement impact; Scale solutions with company growth", "qualificationsBasic" : "2-3 years program/project management, 2-3 years Learning & Development, 2-3 years Enablement, 2-3 years Operations, Structure complex initiatives, Manage multiple stakeholders, Deliver reliably, Structure clarity, Organize overview, Create clean setup, Convey complex content simply, Convey complex content appealingly, Make decisions based on numbers, Measure impact, Take responsibility for topics, Hands-on mentality, Speak German natively, Speak good English", "qualificationsPreferred" : "Experience in Learning & Development, Experience in Instructional Design, Experience in training conception, Experience with LMS systems, Experience with marketplace business models, Experience with AI tools, Experience with automation tools", "remoteFriendly" : true, "workSiteFlexibility" : "Hybrid", "rawDescription" : "ÜBER UNS: Zenjob https://www.zenjob.com/en/ ist eine KI-gestützte Plattform für flexible Personallösungen, die seit 2015 Unternehmen und temporäre Arbeitskräfte effizient miteinander verbindet. Unternehmen nutzen unsere Plattform, um kurzfristig einsatzbereite Mitarbeitende in Echtzeit zu buchen, während Studierende unsere App nutzen, um Nebenjobs zu finden, die sich optimal mit ihrem Studium vereinbaren lassen. Über 40.000 Studierende und 1.000 Partnerunternehmen aus Logistik, Einzelhandel und Gastronomie in allen großen deutschen Städten teilen unseren Glauben daran, dass gute Arbeit kein Zufall ist. Sie ist das Ergebnis innovativer Technologie und echter Leidenschaft. Gute Arbeit beginnt hier. ÜBER DIE ROLLE Als Program Manager im Talent Training & Enablement Team sorgst du dafür, dass unsere Zenjobber nicht einfach nur einen Job bekommen – sondern bestens vorbereitet, sicher und mit den richtigen Skills an den Start gehen. Du denkst Enablement end to end: von der allerersten Schicht bis zum nächsten Schritt auf der Karriereleiter. Du baust die Programme, die unsere Talents wirklich weiterbringen – kreativ, datengetrieben und mit echtem Gespür für Menschen. DEINE AUFGABEN - End-to-end Ownership: Du verantwortest Enablement- und Upskilling-Initiativen von der ersten Idee über Konzept und Rollout bis zur Messung des Impacts. - Programme entlang des Lifecycles: Du entwickelst Trainings- und Lernformate für jeden Schritt der Talent Journey - vom Onboarding über die erste Schicht bis zum gezielten Upskilling erfahrener Zenjobber. - Cross-funktionale Zusammenarbeit: Du arbeitest eng mit Operations, Product und weiteren Teams zusammen, um Enablement nahtlos in unsere Prozesse einzubetten. - Impact messbar machen: Du definierst die richtigen KPIs, analysierst, was funktioniert, und iterierst mutig statt im Blindflug zu fliegen. - Skalierbar bauen: Du schaffst nachhaltige Strukturen und automatisierst dort, wo es Sinn ergibt, damit gute Lösungen mit uns mitwachsen. - LMS-Admin: Du teilst dir die Administration, Konfiguration und kontinuierliche Optimierung unseres Learning Management System (LMS) mit dem Team. - Weitere Tools: Nutzung und Pflege von Google Suite, LMS, Asana, n8n und internen Systemen. DEIN PROFIL - Erfahrung: 2–3 Jahre im Programm-/Projektmanagement, Learning & Development, Enablement, Operations oder einer vergleichbaren Rolle - gerne in einem schnell wachsenden Startup. - Projektmanagement-Skills: Du strukturierst komplexe Initiativen, jonglierst mehrere Stakeholder und lieferst zuverlässig ab – auch wenn alles gleichzeitig kommt. - Kreativität & Neugier: Du liebst es, Neues zu gestalten, und fragst instinktiv „Wie könnte das noch besser gehen?“. - Struktur & Organisationstalent: Wo andere Chaos sehen, schaffst du Klarheit, Übersicht und ein sauberes Setup. - Kommunikations- & didaktisches Gespür: Du bringst komplexe Inhalte einfach und ansprechend rüber. Egal ob im Trainingskonzept, im Workshop oder im Stakeholder-Update. - Datenaffinität: Du triffst Entscheidungen auf Basis von Zahlen und scheust dich nicht, Wirkung zu messen. - Ownership & Hands-on-Mentalität: Du übernimmst Verantwortung für deine Themen und kommst ins Machen, statt auf den perfekten Plan zu warten. - Sprachen: Du sprichst Deutsch auf muttersprachlichem Niveau und gutes Englisch. WÜNSCHENSWERT - Erfahrung in Learning & Development, Instructional Design oder der Konzeption von Trainings, sowie der Betreuung, Administration und Weiterentwicklung von LMS-Systemen. - Erfahrung mit Marketplace-Geschäftsmodellen, wo B2C und B2B aufeinandertreffen. - Erste Erfahrung mit KI- & Automatisierungs-Tools. WAS WIR BIETEN - Innovative Mission: Gemeinsam schaffen wir Neues. Arbeite in einem dynamischen Umfeld, in dem du viel lernst und jede deiner Ideen gehört wird. - Einzigartiger Teamgeist: Wir können blind aufeinander vertrauen und feiern alle Erfolge gemeinsam als Team. - Urlaub: Erholung und Weiterbildung sind uns wichtig. Deshalb bieten wir 28 Tage bezahlten Urlaub (plus 1 Tag für jeweils 2 Kalenderjahre Betriebszugehörigkeit, maximal 30 Tage), 1 Tag Sonderurlaub für ehrenamtliches Engagement, 5 Tage bezahlten Bildungsurlaub sowie die Möglichkeit zu unbezahltem Urlaub. - Hybrides Arbeitsmodell: Wir lieben unser nagelneues Büro in Prenzlauer Berg. Manchmal braucht man jedoch ein wenig mehr Flexibilität. Das flexible Arbeitsmodell von Zenjob vereint das Beste aus beiden Welten: Du kannst bis zu 2 Tage pro Woche remote arbeiten (in den ersten 6 Monaten 1 Tag, um ein optimales Onboarding zu gewährleisten). - Hunde sind bei uns im Office immer herzlich willkommen. - Persönliche Weiterentwicklung: Kontinuierliche Förderung deiner persönlichen Entwicklung (jährliches Weiterbildungsbudget von 750 EUR, Mentoring-Möglichkeiten, regelmäßige Gespräche zur Karriereentwicklung). - Gesunder Geist im gesunden Körper: Bei uns erhältst du einen Urban Sports Club Zuschuss von 30 EUR, um dich fit zu halten. - Immer mobil: Du erhältst monatlich 40 EUR Guthaben für NAVIT, ein nachhaltiges Mobilitätstool für öffentliche Verkehrsmittel, Bike-Sharing und vieles mehr. - Legendäre Events: Quartalsweise Team-Events, Winter- und Sommerpartys, Budget für Geburtstage und Jubiläen unserer Mitarbeitenden. Bewirb dich und schicke uns deine Unterlagen.Wir freuen uns auf dich! \uD83C\uDFA5 Schau dir unser Office Tour Video https://youtu.be/xa7Qb8j9TKw?si=fY4eTSzHHzqtQwcy an. Wir laden dich ein, unsere Karriereseite https://career.zenjob.com/en/ zu besuchen, unserer LinkedIn https://www.linkedin.com/company/zenjob/ Seite zu folgen und mit uns auf Instagram https://instagram.com/insidezenjob?igshid=OGQ5ZDc2ODk2ZA%3D%3D&utm_source=qr in Verbindung zu setzen. Wir sind stolz ein Arbeitgeber zu sein, der Chancengleichheit bietet. Wir verpflichten uns, jede qualifizierte Person nach ihren Fähigkeiten zu beurteilen, unabhängig von Alter, Geschlechtsidentität, ethnischer Zugehörigkeit, sexueller Orientierung, Behinderungsstatus oder Religion. Es ist nicht erforderlich, dein Foto und dein Alter der Bewerbung hinzuzufügen.", "summaryDescription" : "Program Manager – B2C Training & Enablement (f/m/d) at Zenjob. Skills: Enablement initiatives, Upskilling initiatives, Training development, Cross-functional collaboration, Impact measurement. Own enablement initiatives end-to-end. Own upskilling initiatives end-to-end", "createdAt" : "2026-06-16T00:26:36.003", "lastUpdated" : "2026-06-16T11:21:51.639", "ingestTimestamp" : "2026-06-16T00:26:36.003", "mongoId" : "6a305ed5f292fd229cf74b67", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "50k-75k", "hasSalary" : false, "allSkills" : [ "Upskilling", "Onboarding", "KPI definition", "Impact measurement", "Process automation", "LMS administration", "LMS configuration", "LMS optimization", "Data affinity", "Hands-on mentality", "Enablement initiatives", "Upskilling initiatives", "Training development", "Cross-functional collaboration", "Program management", "Project management", "Learning & Development", "Enablement", "Operations", "Instructional Design", "Training conception", "Stakeholder management", "Data analysis", "Automation", "Initiative structuring", "Stakeholder juggling", "Reliable delivery", "B2C Training", "Talent Enablement", "Talent Journey", "Marketplace business models", "Google Suite", "LMS", "Asana", "N8n" ], "skillCount" : 35, "jobCategory" : "operations", "jobSubcategory" : "general", "seniorityLevel" : "Junior", "dataQualityScore" : 0.8888889, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.95 }, { "id" : "6a2c937a74d8ee00a0988285", "title" : "Pharmacy Program Associate", "company" : "Oscar Health", "industry" : "Healthcare", "salary" : { "min" : 87188.0, "max" : 114434.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Tempe, Arizona, United States", "locations" : [ "Tempe", "Arizona", "United States" ], "timestamp" : "2026-06-15T22:17:52.589", "fingerprint" : "22c682fa4037c88ff03147e67d591a6d13046442ed6f6259a914d195cbe0e4c2", "source" : "greenhouse", "language" : "en", "applyUrl" : "http://www.hioscar.com/careers/7997740?gh_jid=7997740", "externalId" : "7997740", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Atlanta", "state" : "Georgia", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "hybrid", "geo" : "33.7544657,-84.3898151" } ], "locationText" : "Atlanta, Georgia, United States", "employmentType" : "FULL_TIME", "coreResponsibilities" : "Manage pharmacy programs, Oversee program operations, Ensure compliance with regulations, Analyze program performance, Identify areas for improvement, Develop and implement process enhancements, Collaborate with internal teams, Liaise with external stakeholders, Manage vendor relationships, Track key performance indicators, Prepare program reports, Support program strategy development", "teamCollaboration" : "Cross-functional teams; External stakeholders; Vendor relationships", "domainKnowledge" : "Pharmacy programs; Healthcare regulations", "domainList" : [ "pharmacy-programs", "healthcare-regulations" ], "domainSpecificKnowledge" : [ "Pharmacy programs", "Healthcare regulations" ], "communicationSkills" : "Program reports", "problemSolvingSkills" : "Process improvement", "remoteFriendly" : true, "workSiteFlexibility" : "Remote", "rawDescription" : "Hi, we're Oscar. We're hiring a Pharmacy Program Associate to join our team Pharmacy Program and Implmentation. Oscar is the first health insurance company built around a full stack technology platform and a relentless focus on serving our members. We started Oscar in 2012 to create the kind of health insurance company we would want for ourselves—one that behaves like a doctor in the family. About the role: You will support all activities related to program implementation goals and post implementation oversight and monitoring to ensure success. Also, support operational improvements for core operations, including proper controls and monitoring, to ensure operational efficiency and effectiveness, supporting the program across the organization and helping implement project management fundamentals and standards across the organization. You will build relationships with key internal and external stakeholders to ensure business alignment and support change management. You will report into the Director, Pharmacy Programs. Work Location: This position is based in our Atlanta, GA office, requiring a hybrid work schedule with 3 days of in-office work per week. Thursdays are a required in-office day for team meetings and events, while your other two office days are flexible to suit your schedule. #LI-Hybrid Pay Transparency: The base pay for this role is: $87,188 - $114,434 per year. You are also eligible for employee benefits, participation in Oscar's unlimited vacation program and annual performance bonuses. Responsibilities: Organize and support daily activities based on the goals of the program Identify optimization opportunities to support program objectives Support implementations end to end to ensure success Lead certain components of the program Partner with other departments and various stakeholders to ensure operational excellence Support a successful program end to end through assisting in project plan development, keeping your stakeholders in the loop on status, proactively flagging, managing escalations, tracking and helping to resolve program risks and milestones, and supporting program retros to assess strengths and weaknesses Support the tracking and monitoring of controls Develop tools and standards to support team programs year over year based on program retros Develop meeting materials, track and follow-up on action items, assist with management of all project plans Compliance with all applicable laws and regulations Other duties as assigned Requirements: Bachelor's degree or 4 years commensurate experience. 3+ years working for a PBM, Payer, or Pharmacy Consulting firm, with a focus on reviewing healthcare data. 3+ years leading cross-functional teams/projects and change management. 1+ years working with health insurance regulation/compliance. 1+ years working with technical teams, integrations or product management. Bonus points: Experience with medical payer and PBM claims adjudication systems, such as RxClaim. Experience with pharmacy claim testing and Quality Assurance (QA). Experience with a ticketing system (such as Jira or Appian). Experience with Project Management systems (such as Monday.com). Experience with payers offering ACA/health exchange insurance. This is an authentic Oscar Health job opportunity. Learn more about how you can safeguard yourself from recruitment fraud here. At Oscar, being an Equal Opportunity Employer means more than upholding discrimination-free hiring practices. It means that we cultivate an environment where people can be their most authentic selves and find both belonging and support. We're on a mission to change health care -- an experience made whole by our unique backgrounds and perspectives. Pay Transparency: Final offer amounts, within the base pay set forth above, are determined by factors including your relevant skills, education, and experience. Full-time employees are eligible for benefits including: medical, dental, and vision benefits, 11 paid holidays, paid sick time, paid parental leave, 401(k) plan participation, life and disability insurance, and paid wellness time and reimbursements. Artificial Intelligence (AI): Our AI Guidelines outline the acceptable use of artificial intelligence for candidates and detail how we use AI to support our recruiting efforts. Reasonable Accommodation: Oscar applicants are considered solely based on their qualifications, without regard to applicant’s disability or need for accommodation. Any Oscar applicant who requires reasonable accommodations during the application process should contact the Oscar Benefits Team (accommodations@hioscar.com) to make the need for an accommodation known. California Residents: For information about our collection, use, and disclosure of applicants’ personal information as well as applicants’ rights over their personal information, please see our Privacy Policy.", "summaryDescription" : "Pharmacy Program Associate at Oscar Health. Manage pharmacy programs. Oversee program operations", "postedDate" : "2026-06-14T20:13:40.734", "createdAt" : "2026-06-14T20:13:40.734", "lastUpdated" : "2026-06-15T22:17:52.589", "ingestTimestamp" : "2026-06-14T20:13:40.734", "mongoId" : "6a2c937a74d8ee00a0988285", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 87188, "salaryAnnualMax" : 114434, "salaryBand" : "75k-100k", "hasSalary" : true, "allSkills" : [ "Pharmacy programs", "Healthcare regulations" ], "skillCount" : 2, "jobCategory" : "operations", "jobSubcategory" : "general", "seniorityLevel" : "Mid", "dataQualityScore" : 0.8888889, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Healthcare", "llmIndustryConfidence" : 0.95 }, { "id" : "6a2c6c6974d8ee00a0918a4f", "title" : "Early Childhood Program After School Care Assistant", "company" : "St. Anne's-Belfield School", "industry" : "Education", "salary" : { "min" : 28000.0, "max" : 36000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "The estimation is based on the market baseline for an Entry-level Early Childhood Program After School Care Assistant in Charlottesville, United States, with adjustments for the education industry and company size." }, "location" : "Charlottesville, Virginia, United States", "locations" : [ "Charlottesville", "Virginia", "United States" ], "timestamp" : "2026-06-15T06:10:16.719", "fingerprint" : "f5c9fb26b54368b53d9d71a41f92202cec3093a0fc5c14faf6f6bd56686c2626", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/stannesbelfieldschool/jobs/5255612008", "externalId" : "5255612008", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Charlottesville", "state" : "Virginia", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "38.0293060,-78.4766781" } ], "locationText" : "Charlottesville, Virginia, United States", "minimumEducation" : "High School Diploma", "softSkillsList" : [ "Flexibility", "Responsiveness" ], "softSkills" : [ { "name" : "Flexibility" }, { "name" : "Responsiveness" } ], "majorSkills" : "Childcare, Early childhood", "majorSkillsList" : [ "Childcare", "Early childhood" ], "coreResponsibilities" : "Assist with daily routines, Supervise outdoor and indoor play, Support program activities, Help maintain a safe environment, Build positive relationships", "teamCollaboration" : "Work with faculty; Build relationships with families", "domainKnowledge" : "Child development", "domainList" : [ "child-development" ], "domainSpecificKnowledge" : [ "Child development" ], "communicationSkills" : "Communication with children; Communication with families; Communication with colleagues", "qualificationsBasic" : "High School Diploma", "qualificationsPreferred" : "Some experience working with children", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "About the School Since 1910, St. Anne’s-Belfield School has been committed to nurturing the whole student: body, heart, mind, and soul. As the largest independent school in the college town of Charlottesville, Va., our 900+ students, age 2 through Grade 12, inspire us each day as we aspire to educate the next generation of exemplary citizens and visionary leaders. As a member of our school community, you'd be joining a team of people who are passionate about their roles and contributing to a community of purpose and belonging. Those who thrive at St. Anne’s-Belfield are people who, as outlined in our Portrait of a Graduate, pursue knowledge to generate impact, seek to engage diverse perspectives and practices, engage in reflection, demonstrate moral character and integrity, and work to understand and meet the needs of the community. Our two beautiful campuses on 55 acres serve as vibrant hubs for curiosity, creativity, and academic excellence. This is perfectly complemented by our location in Charlottesville, one of the top 5 happiest cities in the U.S., as recognized by National Geographic and Outside Magazine. Opportunities abound to connect with nature, enjoy arts and culture, engage with the University of Virginia, only one mile away, and explore American history both within our region or Richmond (one hour by car) and Washington, D. C. (two hours by car). If you're looking for a dynamic learning environment where your contributions help spark each child’s potential, we invite you to consider a career with St. Anne’s-Belfield. We at St. Anne's-Belfield School believe it is the quality and passion of our people that set us apart. We seek to hire the best teachers, administrators, staff members, and coaches to support our student body by offering a competitive benefits package and providing a wonderful working environment. St. Anne’s-Belfield School is seeking an enthusiastic and responsible Assistant for our Early Childhood After School Program for the 2026-2027 school year, working with children ages 2–5. The ideal candidate is nurturing, responsive, and flexible, with an understanding of the developmental needs of young children. This individual will work closely with teaching faculty to help implement a warm, engaging, and safe after-school experience. This is a wonderful opportunity for college or community college students seeking active, hands-on experience in a collaborative and supportive environment. Ideally, interested candidates will start on or around August 3, 2026. Position Details Hours: 2:00–5:30 p.m., Monday through Friday While the position is ideally five days a week, we are happy to consider candidates available for two or more consistent days. Responsibilities Assist with daily routines such as arrival, dismissal, transitions, and snack time Supervise outdoor and indoor play, encouraging positive peer interactions Support program activities aligned with our whole-child approach Help maintain a safe and nurturing environment Build positive relationships with students, faculty, and families. Essential Skills A flexible and positive attitude Strong communication skills with children, families, and colleagues A collaborative spirit and willingness to learn A genuine joy in working with our youngest learners Education & Experience Required: High School Diploma Preferred: Some experience working with children We offer: Competitive salary, paid year-round, even when school is out Free lunch when school is in session Free after-care for children enrolled at the school Free admission to the Virginia Discovery Museum 20% discount at St. Anne's-Belfield School store Federal law requires employers to provide reasonable accommodation to qualified individuals with disabilities. Please tell us if you require a reasonable accommodation to apply for a job or to perform your job. Examples of reasonable accommodation include making a change to the application process or work procedures, providing documents in an alternate format, using a sign language interpreter, or using specialized equipment In compliance with ADA Amendments Act (ADAAA), if you have a disability and would like to request and accommodation in order to apply for a position with our organization, please call (434) 296-5106 or email stabhr@stab.org", "summaryDescription" : "Early Childhood Program After School Care Assistant at St. Anne's-Belfield School. Skills: Childcare, Early childhood. Assist with daily routines. Supervise outdoor and indoor play", "postedDate" : "2026-06-13T16:36:08.009", "createdAt" : "2026-06-13T16:36:08.009", "lastUpdated" : "2026-06-15T06:10:16.719", "ingestTimestamp" : "2026-06-13T16:36:08.009", "mongoId" : "6a2c6c6974d8ee00a0918a4f", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 28000, "salaryAnnualMax" : 36000, "salaryBand" : "<30k", "hasSalary" : true, "allSkills" : [ "Flexibility", "Responsiveness", "Childcare", "Early childhood", "Child development" ], "skillCount" : 5, "jobCategory" : "other", "jobSubcategory" : "early-childhood-program", "dataQualityScore" : 0.7777778, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Education" }, { "id" : "6a305b72f292fd229cf5dda7", "title" : "Contract Research Associate II, Analytical Development", "company" : "Keros Therapeutics", "industry" : "Biotech", "salary" : { "min" : 51000.0, "max" : 60000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Lexington, Massachusetts, United States", "locations" : [ "Lexington", "Massachusetts", "United States" ], "timestamp" : "2026-06-16T07:03:01.093", "fingerprint" : "11f5a705400287651b4a6e97f46b03661952d08d4f473e293ee61801eac0067a", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://kerostx.com/current-opportunities?gh_jid=4704619005", "externalId" : "4704619005", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Lexington", "state" : "Massachusetts", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "42.4473175,-71.2245003" } ], "locationText" : "Lexington, Massachusetts, United States", "employmentType" : "CONTRACT", "minimumEducation" : "Bachelor's", "experienceMinYears" : 1, "experienceMaxYears" : 3, "experienceLevel" : "Mid", "rawDescription" : "At Keros, our mission is to deliver significant clinical benefit to a wide range of patients with disorders that are linked to dysfunctional signaling of the transforming growth factor-beta (TGF-ß) family of proteins. With a focus on developing differentiated product candidates that are designed to alter TGF-β signaling, we aim to target the pathways critical for the growth, repair and maintenance of blood cells and a number of tissues, including bone, skeletal muscle, adipose and heart tissue. We believe our product candidates have the potential to unlock the full therapeutic benefits of modulating the TGF-β superfamily and provide disease-modifying benefit to patients. Job Summary: As a Research Associate II, Analytical Development, you will participate in activities to support the development and testing of analytical methods in support of process development, release, stability and characterization assays for Fc-fusion molecules. Primary Responsibilities: Assist in the development of chromatography and electrophoresis based analytical methods to be used for product release, stability, and characterization testing Prioritize and perform timely testing that enables process and MSAT teams to meet project timelines. This will require occasional weekend work initially. Critically evaluate analytical data to support method development decisions and product quality comparisons Maintain accurate and timely experiment records in electronic laboratory notebook (ELN) Summarize and present data in a clear and meaningful way Author and review analytical test methods and development reports Participate in team meetings with external testing labs Participate in laboratory organization activities such as ordering and receipt of reagents and samples Qualifications: B. S. or M. S. in Analytical Chemistry, Biochemistry, Chemical Engineering, Pharmaceutical Sciences or related scientific discipline with a minimum of 1-3 years of CMC analytical development experience in biotech/pharma Hands-on experience with various analytical methods for measuring the purity of biologics and residual process impurities (i. e. chromatography, capillary electrophoresis, ELISA, etc.) Experience with chromatography and capillary electrophoresis data analysis software Excellent laboratory, critical thinking, scientific problem-solving, and organizational skills Familiarity with good documentation requirements and industry guidance Knowledge of statistical approaches for data interpretation and analytical method development Motivated, detail-oriented, naturally curious individual with a creative approach to scientific problem solving Excellent spoken and written communication skills This pay range represents the base hourly rate or base annual full-time salary for all positions in the job grade within which this position falls. The actual base salary offer will depend on a variety of factors including experience, education, and other relevant factors. Potential base pay range $51—$60 USD Our Diversity, Equity & Inclusion Mission Statement: Keros is an inclusive company. We believe that diversity drives innovation. We continue to build an inclusive culture that encourages, supports, and celebrates the diverse voices of our employees. As such, Keros takes a holistic approach in mentoring, coaching, and developing all of our Keros team members. Keros Therapeutics is an Equal Opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex including sexual orientation and gender identity, national origin, disability, protected veteran status, or any other characteristic protected by applicable federal, state, or local law. Recruitment & Staffing Agencies: Keros Therapeutics does not accept unsolicited resumes from any source other than the candidate directly. Any unsolicited submission by an agency to Keros is prohibited. 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D. degree, Experience in protein molecular dynamics studies, Knowledgeable about concepts in stati", "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 Research Fellow position in the department of Computational and Quantitative Medicine. This project with Dr. Nagarajan Vaidehi involves developing and application of interpretable machine learning methods combined with physics based molecular dynamics simulations to uncover allosteric regulation of disordered regions in the dynamics of proteins and protein complexes to enable design of allosteric modulators. For more information about Dr. Vaidehi’s lab, please visit here. As a successful candidate, you will: · Work on developing design principles of targeted protein degradation in collaboration with Pharma. · Successful applicants will also have an opportunity to participate in a multidisciplinary research environment. Your qualifications should include: · Ph.D. degree in Chemistry, Chemical Engineering, Physics, Biology, or Bioengineering or Biochemistry with experience in protein molecular dynamics studies. · The candidate should be knowledgeable about concepts in statistical thermodynamics, in python scripting and C++ programming. Familiarity with advanced 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. Skills: Interpretable ML, Protein dynamics. Develop design principles. Apply interpretable ML methods", "createdAt" : "2026-06-14T02:08:41.180", "lastUpdated" : "2026-06-15T06:56:40.345", "ingestTimestamp" : "2026-06-14T02:08:41.180", "mongoId" : "69fd34b84c40e2acd1b2f5ee", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 60000, "salaryAnnualMax" : 85000, "salaryBand" : "50k-75k", "hasSalary" : true, "allSkills" : [ "Protein dynamics", "Allosteric regulation", "Interpretable ML", "Protein complexes", "Disordered regions" ], "skillCount" : 5, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Entry", "dataQualityScore" : 0.5555556, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Biotech", "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" : "696082670937eae70e9c8a7b", "title" : "Training Specialist III- Program Administrator", "salary" : { "min" : 54278.0, "max" : 87046.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "UST-Texas-Austin-Stassney Hq - Main", "locations" : [ "UST-Texas-Austin-Stassney Hq - Main", "Yearly", "Nonexempt,
Stassney Hq - Main (SHQMAIN)
6230 East Stassney Lane
Austin, 78744

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