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Login to your McGill Workday account and apply to this posting using the Find Jobs report (type Find Jobs in the search bar).** The **Yoshiji Lab** at McGill University is recruiting a **fully funded Postdoctoral Fellow** to lead projects at the intersection of **human genetics, proteomics, and multi-omics** for **drug target discovery and precision medicine** in cardiometabolic diseases and beyond. The successful candidate will analyze biobank-scale datasets — including UK Biobank (~500,000 participants), NIH All of Us (~440,000), the Canadian Longitudinal Study on Aging (CLSA, ~26,000), and the McGill-based BioPortal, which the Yoshiji Lab co-leads (~3,000 participants with ~5,400 plasma protein measurements) — to identify and characterize causal proteins and genetic variants that can be translated into therapeutic targets. The Fellow will join a vibrant and growing team (5 PhD students, 1 MSc student, 1 visiting professor, and 1 visiting graduate trainee) and contribute to active international collaborations, including with the Broad Institute / Harvard, UCSD, Stanford, Kyoto University, Uppsala University, and the Type 2 Diabetes Global Genetics Consortium. Representative lab work includes the lab's recent Nature Genetics publication on proteome-wide Mendelian randomization and proteome-phenome mapping # Primary Responsibilities The Postdoctoral Fellow will be expected to: * Design and execute independent research projects applying Mendelian randomization, GWAS, fine-mapping, colocalization, polygenic scoring, and multi-trait / multi-ancestry methods to biobank-scale human genetics and proteomics data. * Analyze plasma and tissue proteomics data (e.g., Olink, SomaScan) integrated with genotype, phenotype, and electronic health record data across UK Biobank, All of Us, CLSA, and the McGill BioPortal. * Develop and maintain reproducible analysis pipelines in R, Python, and shell on HPC / Slurm clusters and cloud environments (e.g., DNAnexus, Terra, AWS/GCP). * Write first-author manuscripts for peer-reviewed journals and present at international conferences. * Prepare and contribute to grant and fellowship applications (e.g., CIHR, FRQS, JSPS, HFSP). * Collaborate with internal team members and external consortia, including joint analyses and co-authored publications. * Contribute to lab life: mentoring graduate and undergraduate trainees, participating in lab meetings and journal clubs, and supporting shared infrastructure (code review, documentation, data governance). * Uphold the highest standards of research integrity, reproducibility, and responsible use of human biobank data (ethics approvals, data access agreements, privacy). # Required Qualifications Candidates must hold, or be within ~6 months of completing, a PhD (or MD/PhD) in a relevant field — for example human genetics, statistical genetics, computational biology, bioinformatics, epidemiology, biostatistics, computer science, or a closely related quantitative discipline. In addition, the successful candidate will demonstrate: * Programming proficiency in at least R or Python (ideally both), plus comfortable use of Unix/Linux shell. * Hands-on experience with high-performance computing (Slurm/PBS or equivalent) and/or cloud computing platforms. * Working knowledge of at least one of: GWAS, Mendelian randomization, fine-mapping, colocalization, polygenic risk scores, or related statistical-genetics / causal-inference methods. * Strong publication record appropriate to career stage, including at least one first-author peer-reviewed publication (or accepted preprint) in a quantitative biomedical area. * Scientific writing and communication skills in English, including evidence of independent manuscript or thesis writing. * Ability to work both independently and collaboratively in an international, interdisciplinary team. * Commitment to open, reproducible science (version control with Git, documented pipelines, data-sharing awareness). # Preferred Qualifications (Assets) The following are considered strong assets but are not required: * Experience with biobank-scale data (UK Biobank, All of Us, FinnGen, CLSA, BBJ, Million Veteran Program, or similar). * Experience with plasma or tissue proteomics platforms (Olink, SomaScan, mass spectrometry). * Experience with single-cell or spatial transcriptomics, or other multi-omics modalities. * Familiarity with drug target discovery, target validation, or pharmacoepidemiology. * Experience contributing to international consortia or leading multi-site analyses. * Bilingualism in English and French (asset in Montreal, not required). * Prior success obtaining competitive postdoctoral fellowships (CIHR, FRQS, Banting, HFSP, EMBO, JSPS, Marie Skłodowska-Curie, etc.). # What We Offer * Fully funded postdoctoral position at McGill University, one of Canada's leading research-intensive universities. * Rich, biobank-scale datasets and compute infrastructure (HPC + cloud). * Active mentorship from the PI, with clear expectations around first-author publications, fellowship applications, and independent career development. * Vibrant, internationally collaborative lab environment, with established partnerships in North America, Europe, and Asia. * Support to attend and present at major international conferences. * McGill postdoctoral benefits package (health, parental leave, etc., per McGill Postdoctoral policies). * Montreal — a vibrant, multi-cultural, affordable, research-dense city with a strong quality of life. # Application Instructions Interested candidates should submit the following through **Workday** : * **Curriculum Vitae (CV)** — including full publication list and HPC/coding experience. * **Cover letter** (1–2 pages) — describing research interests, fit with the Yoshiji Lab's scientific program, career goals, and preferred start date. * **Contact information for 2–3 academic references** — names, positions, institutions, and email addresses (letters not required at time of application). * **1–2 representative publications or preprints** — as PDFs or links (e.g., bioRxiv, medRxiv, Google Scholar, ORCID). Optional: a brief (≤1 page) statement describing a computational analysis or research result you are particularly proud of, and the methods used. Applications will be reviewed on a rolling basis until the position is filled. Shortlisted candidates will be invited for a video interview, followed by a research presentation and technical discussion. # # Contact **Satoshi Yoshiji, MD, PhD** Assistant Professor, Department of Human Genetics, Faculty of Medicine and Health Sciences McGill University, Montreal, Quebec, Canada Lab website: [yoshiji-lab.org](https://yoshiji-lab.org) Applications / inquiries: [yoshiji-lab.org/joinus](https://yoshiji-lab.org/joinus) ** _Before applying, please note that to work at McGill University, you must be both authorized to work in Canada and willing to work in the province of Quebec at the campus where the position is based / located._** **_McGill University is an English-language university where most teaching and research activities are conducted in the English language, thereby requiring English communication both verbally and in writing._** **Annual Salary:** $48,000.00 **Hours per Week:** 35 (Full time) **Location:** Hugessen House **Supervisor:** Assistant Professor **Position Start Date:** 2026-05-20 **Position End Date:** 2027-05-19 **Deadline to Apply:** _**McGill University hires on the basis of merit and is strongly committed to equity and diversity within its community. We welcome applications from racialized persons/visible minorities, women, Indigenous persons, persons with disabilities, ethnic minorities, and persons of minority sexual orientations and gender identities, as well as from all qualified candidates with the skills and knowledge to productively engage with diverse communities. McGill implements an employment equity program and encourages members of designated groups to self-identify. Persons with disabilities who anticipate needing accommodations for any part of the application process may contact, in confidence,[ accessibilityrequest.hr@mcgill.ca](mailto:accessibilityrequest.hr@mcgill.ca).**_", "summaryDescription" : "Postdoctoral Researcher - Human Genetics, Proteomics, and Multi-Omics for Drug Target Discovery at McGill University. Skills: Human genetics, Proteomics, Multi-omics, Drug target discovery. Design independent research projects. 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"Mentoring", "Human genetics", "Proteomics", "Multi-omics", "Drug target discovery", "Precision medicine", "Causal inference", "Research integrity", "Reproducibility", "Data governance", "Cardiometabolic diseases", "Biobank data", "Olink", "SomaScan", "UK Biobank", "All of Us", "CLSA", "McGill BioPortal", "R", "Python", "Shell", "Slurm", "DNAnexus", "Terra", "Git" ], "skillCount" : 41, "jobCategory" : "other", "seniorityLevel" : "executive", "dataQualityScore" : 0.8888889, "daysOld" : 18, "hasLocation" : true, "hasGeo" : false }, { "id" : "6a0f488958b93c861e0480ec", "title" : "Postdoctoral Researcher - Human Genetics, Proteomics, and Multi-Omics for Drug Target Discovery", "company" : "McGill University", "industry" : "Academia", "salary" : { "min" : 48000.0, "max" : 48000.0, "currency" : "USD", "frequency" : "yearly" }, "location" : "Canada", "locations" : [ "Canada" ], "timestamp" : "2026-05-21T21:44:23.446", "fingerprint" : "154559ce050186aa94480da9d550c8b21e37e97c5362c4daafa200c6b20c0d1a", "source" : "workday", "language" : "en", "applyUrl" : "https://mcgill.wd3.myworkdayjobs.com/McGill_Careers/job/Hugessen-House/Postdoctoral-Researcher---Human-Genetics--Proteomics--and-Multi-Omics-for-Drug-Target-Discovery_JR0000076799", "externalId" : "JR0000076799", "industryFunction" : { }, "locationPoint" : "56.1304,-106.3468", "structuredLocations" : [ { "country" : "Canada", "continent" : "na", "workMode" : "onsite" } ], "locationText" : "Canada", "employmentType" : "FULL_TIME", "minimumEducation" : "PhD", "technicalSkills" : "R, Python, Shell, HPC, Slurm, DNAnexus, Terra, AWS, GCP, Git", "professionalSkills" : [ "Drug target discovery", "Precision medicine", "Cardiometabolic diseases", "Human genetics", "Proteomics", "Multi-omics", "Statistical genetics", "Computational biology", "Bioinformatics", "Epidemiology", "Biostatistics", "Computer science", "Causal inference" ], "hardSkillsList" : [ "Mendelian randomization", "GWAS", "Fine-mapping", "Colocalization", "Polygenic scoring", "Multi-trait methods", "Multi-ancestry methods", "Proteomics data analysis", "Genotype data analysis", "Phenotype data analysis", "Electronic health record data analysis", "Reproducible analysis pipelines" ], "softSkillsList" : [ "Ability to work independently", "Ability to work collaboratively" ], "hardSkills" : [ { "name" : "Mendelian randomization", "level" : "intermediate" }, { "name" : "GWAS", "level" : "intermediate" }, { "name" : "Fine-mapping", "level" : "intermediate" }, { "name" : "Colocalization", "level" : "intermediate" }, { "name" : "Polygenic scoring", "level" : "intermediate" }, { "name" : "Multi-trait methods", "level" : "intermediate" }, { "name" : "Multi-ancestry methods", "level" : "intermediate" }, { "name" : "Proteomics data analysis", "level" : "intermediate" }, { "name" : "Genotype data analysis", "level" : "intermediate" }, { "name" : "Phenotype data analysis", "level" : "intermediate" }, { "name" : "Electronic health record data analysis", "level" : "intermediate" }, { "name" : "Reproducible analysis pipelines", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Ability to work independently" }, { "name" : "Ability to work collaboratively" } ], "majorSkills" : "Human genetics, Proteomics, Multi-omics, Drug target discovery", "majorSkillsList" : [ "Human genetics", "Proteomics", "Multi-omics", "Drug target discovery" ], "coreResponsibilities" : "Design independent research projects, Execute independent research projects, Apply Mendelian randomization, Apply GWAS, Apply fine-mapping, Apply colocalization, Apply polygenic scoring, Apply multi-trait methods, Apply multi-ancestry methods, Analyze proteomics data, Integrate proteomics with genotype data, Integrate proteomics with phenotype data, Integrate proteomics with EHR data, Develop reproducible analysis pipelines, Maintain reproducible analysis pipelines, Write first-author manuscripts, Present at international conferences, Prepare grant applications, Contribute to fellowship applications, Collaborate with internal team members, Collaborate with external consortia, Contribute to lab life, Mentor graduate trainees, Mentor undergraduate trainees, Participate in lab meetings, Participate in journal clubs, Support shared infrastructure, Uphold research integrity, Uphold reproducibility, Responsible use of human biobank data", "teamCollaboration" : "Collaborate with internal team members; Collaborate with external consortia; Work collaboratively in an international, interdisciplinary team", "domainKnowledge" : "Human genetics; Proteomics; Multi-omics; Drug target discovery; Precision medicine; Cardiometabolic diseases; Statistical genetics; Computational biology; Bioinformatics; Epidemiology; Biostatistics", "domainList" : [ "human-genetics", "proteomics", "multi-omics", "drug-target-discovery", "precision-medicine", "cardiometabolic-diseases", "statistical-genetics", "computational-biology", "bioinformatics", "epidemiology", "biostatistics" ], "domainSpecificKnowledge" : [ "Human genetics", "Proteomics", "Multi-omics", "Drug target discovery", "Precision medicine", "Cardiometabolic diseases", "Statistical genetics", "Computational biology", "Bioinformatics", "Epidemiology", "Biostatistics" ], "toolProficiency" : [ "R", "Python", "Unix/Linux shell", "HPC", "Slurm", "DNAnexus", "Terra", "AWS", "GCP", "Git" ], "communicationSkills" : "Scientific writing skills in English; Communication skills in English", "documentationSkills" : "Documented pipelines", "specialRequirements" : "Authorized to work in Canada, Willing to work in the province of Quebec", "qualificationsBasic" : "PhD (or MD/PhD), Programming proficiency in R or Python, Comfortable use of Unix/Linux shell, Hands-on experience with high-performance computing, Hands-on experience with cloud computing platforms, Working knowledge of GWAS, Working knowledge of Mendelian randomization, Working knowledge of fine-mapping, Working knowledge of colocalization, Working knowledge of polygenic risk scores, Working knowledge of statistical-genetics methods, Working knowledge of causal-inference methods, Publication record appropriate to career stage, At least one first-author peer-reviewed publication, Scientific writing skills in English, Communication skills in English, Ability to work independently, Ability to work collaboratively, Commitment to open science, Commitment to reproducible science, Version control with Git, Documented pipelines, Data-sharing awareness", "qualificationsPreferred" : "Experience with biobank-scale data, Experience with plasma proteomics platforms, Experience with tissue proteomics platforms, Experience with single-cell transcriptomics, Experience with spatial transcriptomics, Experience with other multi-omics modalities, Familiarity with drug target discovery, Familiarity with target validation, Familiarity with pharmacoepidemiology, Experience contributing to international consortia, Experience leading multi-site analyses, Bilingualism in English and French, Prior success obtaining competitive postdoctoral fellowships", "remoteFriendly" : true, "workSiteFlexibility" : "No", "rawDescription" : "**Please refer to the[How to Apply for a Job (for External Candidates)](https://www.mcgill.ca/hr/files/hr/apply_at_mcgill_university_-_guide_for_external_candidates_en.pdf) job aid for instructions on how to apply.** **If you are an active McGill employee (ie: currently in an active contract or position at McGill University), do not apply through this Career Site. Login to your McGill Workday account and apply to this posting using the Find Jobs report (type Find Jobs in the search bar).** The **Yoshiji Lab** at McGill University is recruiting a **fully funded Postdoctoral Fellow** to lead projects at the intersection of **human genetics, proteomics, and multi-omics** for **drug target discovery and precision medicine** in cardiometabolic diseases and beyond. The successful candidate will analyze biobank-scale datasets — including UK Biobank (~500,000 participants), NIH All of Us (~440,000), the Canadian Longitudinal Study on Aging (CLSA, ~26,000), and the McGill-based BioPortal, which the Yoshiji Lab co-leads (~3,000 participants with ~5,400 plasma protein measurements) — to identify and characterize causal proteins and genetic variants that can be translated into therapeutic targets. The Fellow will join a vibrant and growing team (5 PhD students, 1 MSc student, 1 visiting professor, and 1 visiting graduate trainee) and contribute to active international collaborations, including with the Broad Institute / Harvard, UCSD, Stanford, Kyoto University, Uppsala University, and the Type 2 Diabetes Global Genetics Consortium. Representative lab work includes the lab's recent Nature Genetics publication on proteome-wide Mendelian randomization and proteome-phenome mapping # Primary Responsibilities The Postdoctoral Fellow will be expected to: * Design and execute independent research projects applying Mendelian randomization, GWAS, fine-mapping, colocalization, polygenic scoring, and multi-trait / multi-ancestry methods to biobank-scale human genetics and proteomics data. * Analyze plasma and tissue proteomics data (e.g., Olink, SomaScan) integrated with genotype, phenotype, and electronic health record data across UK Biobank, All of Us, CLSA, and the McGill BioPortal. * Develop and maintain reproducible analysis pipelines in R, Python, and shell on HPC / Slurm clusters and cloud environments (e.g., DNAnexus, Terra, AWS/GCP). * Write first-author manuscripts for peer-reviewed journals and present at international conferences. * Prepare and contribute to grant and fellowship applications (e.g., CIHR, FRQS, JSPS, HFSP). * Collaborate with internal team members and external consortia, including joint analyses and co-authored publications. * Contribute to lab life: mentoring graduate and undergraduate trainees, participating in lab meetings and journal clubs, and supporting shared infrastructure (code review, documentation, data governance). * Uphold the highest standards of research integrity, reproducibility, and responsible use of human biobank data (ethics approvals, data access agreements, privacy). # Required Qualifications Candidates must hold, or be within ~6 months of completing, a PhD (or MD/PhD) in a relevant field — for example human genetics, statistical genetics, computational biology, bioinformatics, epidemiology, biostatistics, computer science, or a closely related quantitative discipline. In addition, the successful candidate will demonstrate: * Programming proficiency in at least R or Python (ideally both), plus comfortable use of Unix/Linux shell. * Hands-on experience with high-performance computing (Slurm/PBS or equivalent) and/or cloud computing platforms. * Working knowledge of at least one of: GWAS, Mendelian randomization, fine-mapping, colocalization, polygenic risk scores, or related statistical-genetics / causal-inference methods. * Strong publication record appropriate to career stage, including at least one first-author peer-reviewed publication (or accepted preprint) in a quantitative biomedical area. * Scientific writing and communication skills in English, including evidence of independent manuscript or thesis writing. * Ability to work both independently and collaboratively in an international, interdisciplinary team. * Commitment to open, reproducible science (version control with Git, documented pipelines, data-sharing awareness). # Preferred Qualifications (Assets) The following are considered strong assets but are not required: * Experience with biobank-scale data (UK Biobank, All of Us, FinnGen, CLSA, BBJ, Million Veteran Program, or similar). * Experience with plasma or tissue proteomics platforms (Olink, SomaScan, mass spectrometry). * Experience with single-cell or spatial transcriptomics, or other multi-omics modalities. * Familiarity with drug target discovery, target validation, or pharmacoepidemiology. * Experience contributing to international consortia or leading multi-site analyses. * Bilingualism in English and French (asset in Montreal, not required). * Prior success obtaining competitive postdoctoral fellowships (CIHR, FRQS, Banting, HFSP, EMBO, JSPS, Marie Skłodowska-Curie, etc.). # What We Offer * Fully funded postdoctoral position at McGill University, one of Canada's leading research-intensive universities. * Rich, biobank-scale datasets and compute infrastructure (HPC + cloud). * Active mentorship from the PI, with clear expectations around first-author publications, fellowship applications, and independent career development. * Vibrant, internationally collaborative lab environment, with established partnerships in North America, Europe, and Asia. * Support to attend and present at major international conferences. * McGill postdoctoral benefits package (health, parental leave, etc., per McGill Postdoctoral policies). * Montreal — a vibrant, multi-cultural, affordable, research-dense city with a strong quality of life. # Application Instructions Interested candidates should submit the following through **Workday** : * **Curriculum Vitae (CV)** — including full publication list and HPC/coding experience. * **Cover letter** (1–2 pages) — describing research interests, fit with the Yoshiji Lab's scientific program, career goals, and preferred start date. * **Contact information for 2–3 academic references** — names, positions, institutions, and email addresses (letters not required at time of application). * **1–2 representative publications or preprints** — as PDFs or links (e.g., bioRxiv, medRxiv, Google Scholar, ORCID). Optional: a brief (≤1 page) statement describing a computational analysis or research result you are particularly proud of, and the methods used. Applications will be reviewed on a rolling basis until the position is filled. Shortlisted candidates will be invited for a video interview, followed by a research presentation and technical discussion. # # Contact **Satoshi Yoshiji, MD, PhD** Assistant Professor, Department of Human Genetics, Faculty of Medicine and Health Sciences McGill University, Montreal, Quebec, Canada Lab website: [yoshiji-lab.org](https://yoshiji-lab.org) Applications / inquiries: [yoshiji-lab.org/joinus](https://yoshiji-lab.org/joinus) ** _Before applying, please note that to work at McGill University, you must be both authorized to work in Canada and willing to work in the province of Quebec at the campus where the position is based / located._** **_McGill University is an English-language university where most teaching and research activities are conducted in the English language, thereby requiring English communication both verbally and in writing._** **Annual Salary:** $48,000.00 **Hours per Week:** 35 (Full time) **Location:** Hugessen House **Supervisor:** Assistant Professor **Position Start Date:** 2026-05-20 **Position End Date:** 2027-05-19 **Deadline to Apply:** _**McGill University hires on the basis of merit and is strongly committed to equity and diversity within its community. We welcome applications from racialized persons/visible minorities, women, Indigenous persons, persons with disabilities, ethnic minorities, and persons of minority sexual orientations and gender identities, as well as from all qualified candidates with the skills and knowledge to productively engage with diverse communities. McGill implements an employment equity program and encourages members of designated groups to self-identify. Persons with disabilities who anticipate needing accommodations for any part of the application process may contact, in confidence,[ accessibilityrequest.hr@mcgill.ca](mailto:accessibilityrequest.hr@mcgill.ca).**_", "summaryDescription" : "Postdoctoral Researcher - Human Genetics, Proteomics, and Multi-Omics for Drug Target Discovery at McGill University. Skills: Human genetics, Proteomics, Multi-omics, Drug target discovery. Design independent research projects. Execute independent research projects", "postedDate" : "2026-05-21T21:39:54.279", "createdAt" : "2026-05-21T21:39:54.255", "lastUpdated" : "2026-05-21T21:44:23.446", "ingestTimestamp" : "2026-05-21T21:39:54.255", "mongoId" : "6a0f488958b93c861e0480ec", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://mcgill.wd3.myworkdayjobs.com/McGill_Careers/job/Hugessen-House/Postdoctoral-Researcher---Human-Genetics--Proteomics--and-Multi-Omics-for-Drug-Target-Discovery_JR0000076799", "salaryAnnualMin" : 48000, "salaryAnnualMax" : 48000, "salaryBand" : "30k-50k", "hasSalary" : true, "allSkills" : [ "Mendelian randomization", "GWAS", "Fine-mapping", "Colocalization", "Polygenic scoring", "Multi-trait methods", "Multi-ancestry methods", "Proteomics data analysis", "Genotype data analysis", "Phenotype data analysis", "Electronic health record data analysis", "Reproducible analysis pipelines", "Ability to work independently", "Ability to work collaboratively", 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], "timestamp" : "2026-06-16T08:47:15.704", "fingerprint" : "95267e8b1a038ea63fb223193e54098c9d818feaaf9cd50562bdb0cb4ed4b995", "source" : "ashby", "language" : "en", "applyUrl" : "https://jobs.ashbyhq.com/relationrx/a8e49753-2b75-4ff5-b196-460924901cb2/application", "externalId" : "a8e49753-2b75-4ff5-b196-460924901cb2", "industryFunction" : { }, "structuredLocations" : [ { "city" : "London", "country" : "United Kingdom", "continent" : "eu", "source" : "llm", "workMode" : "onsite", "geo" : "51.5074456,-0.1277653" } ], "locationText" : "London, United Kingdom", "employmentType" : "FULL_TIME", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "technicalSkills" : "Machine learning, Single-cell multi-omics", "professionalSkills" : [ "Drug discovery", "Molecule design", "Affinity maturation", "CDR engineering", "Developability assessment", "Molecule optimisation", "Target validation", "Hit identification", "Lead characterization", "Candidate selection", "Biologics discovery", "Scientific decision-making", "Data interpretation", "Experimental execution", "Study design", "Data review", "Scientific interpretation", "Pipeline decisions" ], "hardSkillsList" : [ "Antibody discovery", "Antibody engineering", "Functional assays", "Biophysical characterization", "SPR", "BLI", "Octet" ], "softSkillsList" : [ "Mentoring" ], "hardSkills" : [ { "name" : "Antibody discovery", "level" : "intermediate" }, { "name" : "Antibody engineering", "level" : "intermediate" }, { "name" : "Functional assays", "level" : "intermediate" }, { "name" : "Biophysical characterization", "level" : "intermediate" }, { "name" : "SPR", "level" : "intermediate" }, { "name" : "BLI", "level" : "intermediate" }, { "name" : "Octet", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Mentoring" } ], "majorSkills" : "Biologics drug discovery, Antibody engineering, Machine learning", "majorSkillsList" : [ "Biologics drug discovery", "Antibody engineering", "Machine learning" ], "coreResponsibilities" : "Contribute to target assessment, Contribute to modality selection, Contribute to biologics discovery strategies, Design antibody molecules, Engineer antibody molecules, Optimise antibody molecules, Act as experienced scientist, Bring expertise in antibody discovery, Bring expertise in antibody engineering, Contribute to programme execution, Contribute to scientific decision-making, Translate biological insight, Design molecules, Engineer molecules, Optimise molecules, Design molecules with credible path, Engineer molecules with credible path, Optimise molecules with credible path, Act as technical voice, Partner with colleagues, Design molecules, Engineer molecules, Optimise molecules, Assess potency, Assess selectivity, Assess developability, Assess mechanism of action, Interpret complex datasets, Use data to drive molecule design, Use data to drive molecule optimisation, Maintain hands-on role, Partner with internal teams, Partner with external teams, Drive biologics programs end-to-end, Perform target validation, Perform hit identification, Perform lead characterization, Perform optimisation, Perform developability triage, Make modality decisions, Select molecule for target, Select molecule for indication, Design discovery packages, Oversee discovery packages, Combine cell-based assays, Combine biophysical characterization, Combine developability assessment, Drive candidate selection, Operate in matrixed environment, Partner with Computational Biology, Partner with Machine Learning, Partner with CMC, Partner with DMPK, Partner with Toxicology, Partner with Translational colleagues, De-risk candidates, Progress candidates toward IND-enabling studies, Partner with external collaborators, Partner with CROs, Contribute to study design, Contribute to data review, Contribute to scientific interpretation, Share expertise with colleagues, Contribute to scientific environment, Partner with ML teams, Partner with computational biology teams, Bring insight into predictive approaches, Bring insight into generative approaches, Apply predictive approaches to target selection, Apply generative approaches to target selection, Apply predictive approaches to molecule design, Apply generative approaches to molecule design, Apply predictive approaches to lead optimization, Apply generative approaches to lead optimization, Contribute to design of antibody molecules, Contribute to engineering of antibody molecules, Contribute to optimisation of antibody molecules, Use experimental data to guide decisions, Use experimental data to guide progression strategies, Contribute to scientific culture, Mentor junior scientists, Support publications, Support conference visibility, Shape scientific identity, Shape biologics group identity", "teamCollaboration" : "Interdisciplinary teams; Highly interdisciplinary teams; Matrixed pharmaiotech environment; Computational Biology; Machine Learning; CMC; DMPK; Toxicology; Translational colleagues; External collaborators; CROs; ML teams; Computational biology teams; Matrixed environment; Multiple stakeholders; Across teams; Across Drug Discovery; Across scientific domains; Across technical domains; Across operational domains; Multiple teams; Multiple projects; Shared company priorities; Diverse perspectives; Working relationships; Shared goals; Across teams", "domainKnowledge" : "Biologics drug discovery; Antibody discovery; Antibody engineering; Developability assessment; IND-enabling activities; Target Product Profiles; Antibodies; Bispecifics; ADCs; Fusion proteins; Fragments; Bone biology; Bone-microenvironment models; Osteoblast; Osteoclast; Mineral-binding assays; Resorption assays; TechBio; Computationally-driven discovery", "domainList" : [ "biologics-drug-discovery", "antibody-discovery", "antibody-engineering", "developability-assessment", "ind-enabling-activities", "target-product-profiles", "antibodies", "bispecifics", "adcs", "fusion-proteins", "fragments", "bone-biology", "bone-microenvironment-models", "osteoblast", "osteoclast", "mineral-binding-assays", "resorption-assays", "techbio", "computationally-driven-discovery" ], "domainSpecificKnowledge" : [ "Biologics drug discovery", "Antibody discovery", "Antibody engineering", "Developability assessment", "IND-enabling activities", "Target Product Profiles", "Antibodies", "Bispecifics", "ADCs", "Fusion proteins", "Fragments", "Bone biology", "Bone-microenvironment models", "Osteoblast", "Osteoclast", "Mineral-binding assays", "Resorption assays", "TechBio", "Computationally-driven discovery" ], "toolProficiency" : [ "SPRiacore", "BLI/Octet" ], "continuousLearning" : "Conference visibility", "problemSolvingSkills" : "Data-driven molecule optimisation", "qualificationsBasic" : "PhD in Molecular Biology, PhD in Immunology, PhD in Pharmacology, PhD in Cell Biology, PhD in Prot, Good understanding of biologics drug discovery end-to-end, Awareness of IND-enabling activities", "qualificationsPreferred" : "Familiarity with bone biology, Familiarity with bone-microenvironment models, Peer-reviewed publications, Prior experience mentoring junior scientists, Exposure to TechBio environment, Exposure to computationally-driven discovery environment", "remoteFriendly" : true, "workSiteFlexibility" : "Onsite", "rawDescription" : "ABOUT RELATION Relation is a sector defining TechBio company developing transformational medicines, with technology at our core. Our ambition is to understand human biology in unprecedented ways, discovering therapies to treat some of life’s most devastating diseases. We leverage single-cell multi-omics from patient tissue, functional assays, and machine learning to drive disease understanding, from cause to cure. We are scaling rapidly and building a team of exceptional individuals to push the boundaries of drug discovery. You will work in highly interdisciplinary teams where biology, computation, and engineering come together to solve complex problems that have not been solved before. Our state-of-the-art wet and dry labs in the heart of London are designed to accelerate this integration and translate insight into impact. We are committed to building diverse and inclusive teams. Relation is an equal opportunities employer and does not discriminate on the basis of gender, sexual orientation, marital or civil partnership status, gender reassignment, race, colour, nationality, ethnic or national origin, religion or belief, disability, or age. By joining Relation, you will help define how medicines are discovered and deliver meaningful impact for patients. THE OPPORTUNITY Relation is offering an outstanding opportunity for an Senior Scientist, Biologics Drug Discovery to bring deep biologics drug discovery knowledge to our growing pipeline. You will contribute to target assessment, modality selection and biologics discovery strategies through deep technical expertise and hands-on scientific execution from early concept through to IND-enabling studies. As Relation grows its scientific and machine learning capabilities, you will act as a highly experienced scientist, bringing deep expertise in antibody discovery and engineering while contributing directly to programme execution and scientific decision-making, working alongside our computational, ML, and translational teams to translate biological insight into well-designed molecules with a credible path to the clinic. We are particularly interested in scientists who have personally designed, engineered and optimised antibody molecules, including experience with affinity maturation, CDR engineering, developability assessment and data-driven molecule optimisation. You will additionally be a key technical voice in pipeline decisions and a trusted partner to colleagues across Drug Discovery and beyond. DAY TO DAY, YOU WILL - Demonstrated hands-on experience designing, engineering and optimising antibody molecules, with a strong understanding of the experimental approaches used to assess potency, selectivity, developability and mechanism of action. - Ability to independently interpret complex datasets and use those data to drive molecule design and optimisation decisions. - Maintain a hands-on role in biologics discovery activities while partnering closely with internal and external teams. - Drive biologics programs end-to-end — from target validation and hit identification through lead characterization, optimization, and developability triage — against agreed Target Product Profiles (TPPs). - Make informed modality decisions across the biologics landscape (antibodies, bispecifics, ADCs, fusion proteins, fragments) and ensure the right molecule is selected for the right target and indication. - Design and oversee fit-for-purpose discovery packages, combining cell-based functional assays, biophysical characterization (SPR/Biacore, BLI/Octet), and developability assessment to drive sound candidate selection. - Operate effectively in a matrixed pharma/biotech environment, partnering with Computational Biology, Machine Learning, CMC, DMPK, Toxicology, and Translational colleagues to de-risk candidates and progress them toward IND-enabling studies. - Partner with external collaborators and CROs, contributing to study design, data review and scientific interpretation. - Share expertise with colleagues and contribute to a collaborative scientific environment. - Partner with our ML and computational biology teams to bring biologics drug discovery insight into how predictive and generative approaches are applied to target selection, molecule design, and lead optimization. - Personally contribute to the design, engineering and optimisation of antibody molecules, using experimental data to guide scientific decisions and progression strategies. - Contribute to Relation’s scientific culture by mentoring junior scientists in biologics drug discovery, supporting publications and conference visibility, and helping to shape the broader scientific identity of the biologics group. PROFESSIONALLY, YOU WILL HAVE - A PhD. in Molecular Biology, Immunology, Pharmacology, Cell Biology, Protein Engineering, or a related life-science discipline. - Hands-on drug discovery experience gained in a pharma or biotech setting, with a clear track record of contributing to biologics programs progressing through key discovery milestones (target validation, hit-to-lead, lead optimization, candidate selection). - Proven experience working in a matrixed pharma/biotech environment, partnering effectively across functions (e.g. CMC, DMPK, Toxicology, Computational/ML, Translational) and balancing multiple stakeholders. - Deep working knowledge of biologics drug discovery: how biology is translated into a molecule, how modalities are chosen, how discovery cascades are designed, and what data are needed at each stage to make sound progression decisions. - Familiarity with the biologics modality landscape (antibodies, bispecifics, ADCs, fusion proteins, fragments) and an informed view of when each modality is the right tool for the biology. - Hands-on experience with the data types that drive biologics drug discovery decisions, including cell-based functional and screening assays and biophysical characterization (SPR/Biacore, BLI/Octet). - Working experience of CRO management across biologics drug discovery activities (e.g. molecule production, in vitro pharmacology, in vivo studies). - A good understanding of biologics drug discovery end-to-end, including TPP-driven decision-making, developability considerations, and awareness of what is required to support IND-enabling activities. - Curiosity about how ML and computational approaches can complement traditional biologics discovery workflows, and an interest in shaping how those tools are deployed. Bonus experience: - Familiarity with bone biology and bone-microenvironment models (osteoblast, osteoclast, osteocyte; mineral-binding or resorption assays). - Peer-reviewed publications in the biologics drug discovery space, prior experience mentoring junior scientists, and exposure to a TechBio or computationally-driven discovery environment are also welcome. PERSONALLY, YOU: - Are comfortable working in a matrixed environment, balancing multiple stakeholders and contributing effectively across teams. - Take ownership of your work, proactively seek opportunities to contribute, and enable others to do their best work. - Communicate openly and directly, give and receive feedback constructively, and handle challenging conversations with respect. - Actively seek out diverse perspectives, build strong working relationships, and contribute to shared goals across teams. - Embrace challenges with openness and resilience, set high standards for yourself, and strive to deliver meaningful outcomes. WORKING STYLE & CULTURE AT RELATION At Relation, we operate in a matrixed, interdisciplinary environment, where impact is driven through collaboration across scientific, technical, and operational domains. We collaborate, and you will partner with colleagues across multiple teams and projects, contributing your expertise while aligning to shared company priorities. We work together and win together! The patient is waiting! RECRUITMENT AGENCIES Please note that Relation does not accept unsolicited resumes from agencies. Resumes should not be forwarded to our job aliases or employees. Relation will not be liable for any fees associated with unsolicited CVs. Relation is a committed equal opportunities employer.", "summaryDescription" : "Senior Scientist, Biologics Drug Discovery at Relation. Skills: Biologics drug discovery, Antibody engineering, Machine learning. Contribute to target assessment. Contribute to modality selection", "createdAt" : "2026-06-16T00:28:21.999", "lastUpdated" : "2026-06-16T08:47:15.704", "ingestTimestamp" : "2026-06-16T00:28:21.999", "mongoId" : "6a307525f292fd229c00c92f", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "75k-100k", "hasSalary" : false, "allSkills" : [ "Antibody discovery", "Antibody engineering", "Functional assays", "Biophysical characterization", "SPR", "BLI", "Octet", "Mentoring", "Biologics drug discovery", "Machine learning", "Drug discovery", "Molecule design", "Affinity maturation", "CDR engineering", "Developability assessment", "Molecule optimisation", "Target validation", "Hit identification", "Lead characterization", "Candidate selection", "Biologics discovery", "Scientific decision-making", "Data interpretation", "Experimental execution", "Study design", "Data review", "Scientific interpretation", "Pipeline decisions", "IND-enabling activities", "Target Product Profiles", "Antibodies", "Bispecifics", "ADCs", "Fusion proteins", "Fragments", "Bone biology", "Bone-microenvironment models", "Osteoblast", "Osteoclast", "Mineral-binding assays", "Resorption assays", "TechBio", "Computationally-driven discovery", "SPRiacore", "BLI/Octet" ], "skillCount" : 45, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Senior", "dataQualityScore" : 0.8888889, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Biotech", "llmIndustryConfidence" : 0.98 }, { "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" : "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. 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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. 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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: New Site: PMCRT / Princess Margaret Cancer Research Tower - 101 College St, Toronto, ON M5G 1L7 Department: Ajmera Transplant Centre Research Institute (ATC-RI) Reports to: Dr. Michael Henneresse Hours: 37.5 Salary: CAD 54,902 – CAD 93,333 per year, commensurate with experience and level of appointment (PDR I–III) Shifts: Monday - Friday Status: Temporary Full-Time Closing Date: June 30, 2026 Position Summary: The successful candidate will join a research program in programmable immune engineering at UHN, based at the ATC-RI and affiliated with the University of Toronto. The lab focuses on designing engineered human immune cells that maintain stable and regulated function in complex clinical environments, with a particular emphasis on transplantation alongside applications in cancer and infection. The research program integrates CRISPR-based genome engineering, RNA-based modulation, and advanced human tissue and organoid models to define generalizable design principles for immune function under clinical stress conditions such as inflammation, immunosuppression, and chronic antigen exposure. A central goal is to establish programmable immune resilience as a design parameter for clinically deployable cell therapies. Experimental approaches include genetic engineering of human T cells, development of non-viral and mRNA-based delivery strategies, and functional validation in physiologically relevant human model systems, closely aligned with translational and biomanufacturing workflows at UHN. Example application areas include regulatory T cell engineering for stability under inflammatory and pharmacologic constraint. The Postdoctoral Researcher will play a key role in building and shaping this research platform and will have the opportunity to develop independent research directions within a highly interdisciplinary and translational environment. Duties: * Design, execute, and interpret independent research projects in immune engineering * Establish and advance experimental platforms for human T cell engineering, including genome editing and RNA-based approaches * Develop and perform functional assays to assess immune cell activity, stability, and phenotype * Apply human model systems, including organoid and ex vivo approaches, in clinically relevant contexts * Contribute to the scientific development of the lab * Supervise and support junior trainees as the group grows * Prepare manuscripts for publication and contribute to grant writing * Work in close interaction with clinical and translational programs at UHN ## Qualifications * PhD in immunology, molecular biology, bioengineering, or a related discipline * Strong experimental background in immune cell biology, ideally with experience in human T cell systems * Demonstrated ability to design, execute, and interpret experiments independently * Demonstrated scientific productivity, including peer-reviewed publications * Experience in one or more of the following areas is highly desirable: genome editing (e.g., CRISPR), RNA-based approaches, gene delivery technologies, or advanced cell culture systems * Familiarity with flow cytometry (including spectral flow) and functional immune assays * Interest in translational research and clinically relevant model systems * Excellent written and verbal communication skills * Ability to work independently and in a collaborative, interdisciplinary environment * Prior experience mentoring students or junior trainees is 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: Immune engineering, Cell therapies, Genome editing, RNA modulation. Design independent research projects. 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28, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Entry", "dataQualityScore" : 1.0, "daysOld" : 3, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Healthcare", "llmIndustryConfidence" : 0.98 }, { "id" : "6a306588f292fd229cfa90ce", "title" : "Manager, Discovery", "company" : "Nexxen", "industry" : "Sales & Marketing Operations", "salary" : { "min" : 110000.0, "max" : 135000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "New York, NY", "locations" : [ "New York, NY" ], "timestamp" : "2026-06-16T10:49:44.260", "fingerprint" : "a47065e257b04f3ca8137170bb8cb344696394c86d507571b5ebfa0580d5166c", "source" : "ashby", "language" : "en", "applyUrl" : "https://jobs.ashbyhq.com/nexxen/fb3965f3-14cf-4963-aebd-f91dec314064/application", "externalId" : "fb3965f3-14cf-4963-aebd-f91dec314064", "industryFunction" : { }, "structuredLocations" : [ { "city" : "New York", "state" : "New York", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "hybrid", "geo" : "40.7127281,-74.0060152" } ], "locationText" : "New York, New York, United States", "employmentType" : "FULL_TIME", "experienceLevel" : "Manager", "technicalSkills" : "Data analysis, Audience insights, Market insights, Campaign insights, Digital media", "professionalSkills" : [ "People leadership", "Strategic thinking", "Team management", "Client-facing storytelling", "Cross-functional collaboration", "Subject matter expert", "Business objectives", "Decision-making", "Product innovation", "Market feedback", "Strategic initiatives", "Product enhancements", "Platform releases", "Business development", "Analytics", "Advertising technology", "Audience insights", "Digital media" ], "hardSkillsList" : [ "Data translation", "Insight generation", "Strategic recommendations", "Client narratives", "Proactive analysis", "RFP contribution" ], "softSkillsList" : [ "Leadership", "Continuous learning" ], "hardSkills" : [ { "name" : "Data translation", "level" : "intermediate" }, { "name" : "Insight generation", "level" : "intermediate" }, { "name" : "Strategic recommendations", "level" : "intermediate" }, { "name" : "Client narratives", "level" : "intermediate" }, { "name" : "Proactive analysis", "level" : "intermediate" }, { "name" : "RFP contribution", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Leadership" }, { "name" : "Continuous learning" } ], "majorSkills" : "Audience insights, Market insights, Campaign insights, Data translation, Client narratives", "majorSkillsList" : [ "Audience insights", "Market insights", "Campaign insights", "Data translation", "Client narratives" ], "coreResponsibilities" : "Lead Discovery Analysts team, Develop Discovery Analysts team, Mentor Discovery Analysts team, Ensure high-quality execution, Ensure team performance, Manage team workload, Manage resource allocation, Prioritize projects, Foster accountability culture, Foster collaboration culture, Foster continuous learning culture, Create insight-driven reports, Deliver insight-driven reports, Create strategic recommendations, Deliver strategic recommendations, Translate complex data, Create client narratives, Deliver client narratives, Partner with Sales teams, Partner with Client Services teams, Support client strategy, Support campaign planning, Support business growth initiatives, Participate in client meetings, Participate in client presentations, Communicate insights, Communicate recommendations, Communicate market trends, Drive proactive analyses, Uncover opportunities, Solve business challenges, Support marketing strategies, Support sales strategies, Collaborate with Product teams, Collaborate with Engineering teams, Support strategic initiatives, Support product enhancements, Support platform releases, Participate in RFP processes, Participate in business development processes, Contribute strategic insights, Contribute Discovery-based recommendations, Stay informed on industry trends", "teamCollaboration" : "Cross-functional teams; Sales teams; Client Services teams; Product teams; Engineering teams", "projectManagementSkills" : [ "Project prioritization", "Workload management", "Resource allocation" ], "domainKnowledge" : "Advertising technology; Audience insights; Digital media; Programmatic advertising; Data platforms; Advanced TV", "domainList" : [ "advertising-technology", "audience-insights", "digital-media", "programmatic-advertising", "data-platforms", "advanced-tv" ], "domainSpecificKnowledge" : [ "Advertising technology", "Audience insights", "Digital media", "Programmatic advertising", "Data platforms", "Advanced TV" ], "toolProficiency" : [ "Discovery platform" ], "communicationSkills" : "Client-facing storytelling; Client narratives; Client presentations; Market trends", "continuousLearning" : "Continuous learning culture", "innovationCreativity" : "Product innovation; Platform innovation", "problemSolvingSkills" : "Problem-solving skills; Actionable insights; Solve business challenges", "outcomesObjectives" : "Deliver strategic audience insights; Deliver market insights; Deliver campaign insights; Translate data into actionable recommendations; Support strategy; Support planning; Support digital media activation; Drive decision-making", "qualificationsBasic" : "5+ years analytics experience, 5+ years research experience, 5+ years marketing strategy experience, 5+ years audience insights experience, 2+ years people management experience, Analytical skills, Problem-solving skills, Ability to turn data into actionable insights, Excellent written communication skills, Excellent verbal communication skills, Excellent presentation communication skills, Proven ability to develop compelling client-facing narratives, Proven ability to develop compelling client-facing presentations, Experience working cross-functionally, Experience in a fast-paced environment, Experience in a collaborative environment, Interest in advertising technology, Interest in analytics, Interest in big data, Interest in digital media, Bachelor's degree or equivalent practical experience, Experience in programmatic advertising ecosystem, Background in research, Background in analytics, Background in agency strategy, Background in account management, Background in social media strategy teams, Experience with client-facing insight platforms, Experience with client-facing measurement platforms, Familiarity with audience targeting, Familiarity with campaign measurement, Familiarity with media strategy concepts", "qualificationsPreferred" : "Experience within the programmatic advertising ecosystem, Background in research, Background in analytics, Background in agency strategy, Background in account management, Background in social media strategy teams, Experience working with client-facing insight or measurement platforms, Familiarity with audience targeting, campaign measurement, and media strategy concepts", "remoteFriendly" : true, "workSiteFlexibility" : "Hybrid", "rawDescription" : "Who is Nexxen? Flexible advertising, unified by data. Nexxen empowers advertisers, agencies, publishers and broadcasters around the world to utilize data and advanced TV in the ways that are most meaningful to them. Our flexible and unified technology stack comprises a demand-side platform (“DSP”) and supply-side platform (“SSP”), with the Nexxen Data Platform at its core. Why join the Nexxen team? With a global footprint, you can be part of a team that is transforming advertising through our creative, flexible and unified solutions. Employees hustle, commit and dedicate themselves to pillars that make up the Nexxen Way – the 3Cs - Customer Centric, Curious Mindset, Collaborative with No Ego. Important Notice from Nexxen: Your Safety Matters At Nexxen, we care about the well-being of our current and future employees. We are aware of the growing number of online scams and fraudulent job postings, and we urge all job seekers to remain vigilant. Please be advised that Nexxen will never request payment (whether in cash, cryptocurrency, or any other form) as a condition of employment, offer positions that require you to invest in vague or dubious financial schemes, or promote roles that resemble get-rich-quick opportunities. If you receive a suspicious message claiming to be from Nexxen or encounter a questionable job posting associated with our name, please contact us at infosec@nexxen.com to verify its legitimacy. Your trust is important to us. Stay safe and informed. Nexxen Fraud Alert and Notice: Protect Yourself from Impersonation and Fraudulent Activity https://nexxen.com/nexxen-fraud-alert-and-notice/ The Manager, Discovery, will lead a team of Discovery Analysts responsible for delivering strategic audience, market, and campaign insights through Nexxen’s proprietary insights platform, Discovery. This role plays a key part in helping clients and internal stakeholders translate data into actionable business recommendations that support strategy, planning, and digital media activation. The ideal candidate is both a strong people leader and strategic thinker who can balance team management, client-facing storytelling, and cross-functional collaboration. This person will serve as a subject matter expert on Discovery capabilities, partner closely with Sales and Client Services teams, and engage directly with clients to understand business objectives and deliver meaningful insights that drive decision-making. In addition, the Manager will help shape the evolution of the Discovery platform by partnering with Product and Engineering teams to provide market feedback and support ongoing product innovation. Job Responsibilities: - Lead, develop, and mentor a team of Discovery Analysts, ensuring high-quality execution and strong team performance - Manage team workload, resource allocation, and project prioritization across multiple concurrent initiatives - Foster a culture of accountability, collaboration, and continuous learning within the team - Create and deliver insight-driven reports, presentations, and strategic recommendations for Nexxen’s clients - Translate complex data into clear, compelling, and consultative client narratives - Partner closely with Sales, Client Services, and other cross-functional teams to support client strategy, campaign planning, and business growth initiatives - Participate in client meetings and presentations to communicate insights, recommendations, and market trends - Drive proactive analyses that uncover opportunities, solve business challenges, and support marketing and sales strategies - Collaborate with Product and Engineering teams to support strategic initiatives, product enhancements, and platform releases - Participate in RFP and business development processes by contributing strategic insights and Discovery-based recommendations - Stay informed on industry trends across analytics, advertising technology, audience insights, and digital media Qualifications: - 5+ years of experience in analytics, research, marketing strategy, audience insights, or a related field - 2+ years of people management experience - Strong analytical and problem-solving skills with the ability to turn data into actionable insights - Excellent written, verbal, and presentation communication skills - Proven ability to develop compelling, client-facing narratives and presentations - Experience working cross-functionally in a fast-paced, collaborative environment - Interest in advertising technology, analytics, big data, and digital media - Bachelor’s degree or equivalent practical experience - Experience within the programmatic advertising ecosystem - Background in research, analytics, agency strategy, account management, or social media strategy teams - Experience working with client-facing insight or measurement platforms - Familiarity with audience targeting, campaign measurement, and media strategy concepts At Nexxen, we value our differences, varied experiences, and collective contributions. We know that not everyone takes the same career path, so if you don’t match this job description perfectly, don’t worry! We would rather see your application than risk missing out on your potential to make an impact. We offer a variety of benefits including medical, dental, vision, disability insurance, 401(k), EAP, parental leave, unlimited vacation, and company-paid holidays. The specific programs and options available will vary depending on the state, start date, and employment type. Our Talent Acquisition team will be happy to answer any questions you may have. In support of pay transparency and equity, the minimum and maximum full-time annual base salary for this role is $110,000 - $135,000 at the time of posting. While this is our reasonable expectation this is not a guarantee of compensation or salary, actual compensation is influenced by a wide range of factors including but not limited to skill set, level of experience, education, certifications, responsibility, and geographic location. Candidates hired to work in other locations will be subject to the pay range associated with that location. We offer a variety of benefits, including medical, dental, vision, disability insurance, 401(k), EAP, parental leave, unlimited vacation, and company-paid holidays. The specific programs and options available will vary depending on the state, start date, and employment type. Our Talent Acquisition team will be happy to answer any questions you may have. #LI-LG1 #HYBRID For information about how we handle your personal information please view our Applicant and Candidate Privacy Notice https://nexxen.com/applicant-and-candidate-privacy-notice/", "summaryDescription" : "Manager, Discovery at Nexxen. Skills: Audience insights, Market insights, Campaign insights, Data translation, Client narratives. Lead Discovery Analysts team. 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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. Collaborate with multidisciplinary team", "postedDate" : "2026-06-15T21:53:44.772", "createdAt" : "2026-06-15T21:53:44.772", "lastUpdated" : "2026-06-16T15:07:12.362", "ingestTimestamp" : "2026-06-16T03:25:51.950", "mongoId" : "6a307f57f292fd229c058183", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 55000, "salaryAnnualMax" : 60000, "salaryBand" : "50k-75k", "hasSalary" : true, "allSkills" : [ "Individual therapy", "Group therapy", "Intake interviews", "Interpersonal skills", "Communication skills", "Clinical Psychology", "Therapy delivery", "Clinical supervision", "Treatment planning", "Psychological testing", "Quality improvement", "NYS Mandated Reporting", "HIPAA Regulations", "Privacy statutes", "Evidence-based psychology", "APA-accredited pre-doctoral internship" ], "skillCount" : 16, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Entry", "dataQualityScore" : 0.7777778, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Healthcare", "llmIndustryConfidence" : 0.95 }, { "id" : "6a305382f292fd229cf132e2", "title" : "Target Fabrication and Materials Characterization Technologist", "company" : "Lawrence Livermore National Laboratory", "industry" : "Research", "salary" : { "min" : 85000.0, "max" : 135000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Mid-level Technologist in Livermore, CA, adjusted for the technology industry and a large research laboratory." }, "location" : "Livermore, CA, United States", "locations" : [ "Livermore", "CA", "United States" ], "timestamp" : "2026-06-16T08:25:55.648", "fingerprint" : "94cfd22866443072a4e0843745762b72eaba13af372e6628eab682a63e20a0f5", "source" : "smartrecruiters", "language" : "en", "applyUrl" : "https://jobs.smartrecruiters.com/LLNL/3743990013618337-target-fabrication-and-materials-characterization-technologist-", "externalId" : "3743990013618337", "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" : 0, "experienceMaxYears" : 2, "experienceLevel" : "entry", "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 are seeking a Laboratory Technologist to support target fabrication, precision component assembly, metallography, sample preparation, and microscopy within the Materials Science Division’s (MSD) Materials Characterization Center (MCC). You will perform a range of moderate to complex work in support of multiple LLNL programs and principal investigators, including activities in the National Ignition Facility (NIF) HiZ Target Fabrication Laboratory. The work includes fabrication, metrology, characterization, and assembly of macro- to micro-scale precision engineered components and one-of-a-kind samples. Responsibilities include operation of computer-controlled and manually operated assembly stations, dimensional inspection using microscopes and optical coordinate measuring machines, preparation and installation of thin films into components or subassemblies, and execution of multi-step target subassembly and base assembly procedures. The role will also involve work with hazardous materials, including radioactive materials and beryllium, performed within containment enclosures such as inert-atmosphere gloveboxes and fume hoods. The position supports timely delivery of high-quality results, clear documentation, and strong customer engagement within a collaborative R&D environment. This position requires full-time on-site presence due to the nature of the work. This position will be filled at either the 504.2 or 504.3 level depending on your qualifications. Additional job responsibilities (outlined below) will be assigned if you are selected at the higher level. You will * Perform moderately complex to complex target fabrication, precision assembly, metallography, and materials characterization activities, including sample preparation, polishing, and optical microscopy. * Utilize microscopes and optical coordinate measuring machines to perform dimensional inspection and metrology of precision components * Operate computer-controlled and manually operated assembly stations and other laboratory instrumentation. * Prepare, assemble, and analyze one-of-a-kind samples and components, including hazardous materials such as beryllium and radioactive materials, while following detailed instructions, drawings, and specifications. * Interact effectively with resident staff and other engineering, scientific, technical, and administrative personnel from a variety of organizations. * Maintain a high level of administrative and on-the-job training required for work in hazardous environments, cleanroom settings, and with hazardous materials. * Perform other duties as assigned. Additional job responsibilities at the 504.3 Level * Provide advanced troubleshooting skills and independently identify complex technical problems and implement solutions. * Create safety documents, Standard Operating Procedures (SOPs), and other documentation, including test reports. * Acquire, analyze and may interpret moderately complex data. ## Qualifications * Ability to secure and maintain a U.S. DOE Q-level security clearance, which requires U.S. citizenship * Associate degree in Chemistry, Materials, Electronics, Engineering or related field; or equivalent combination of education and related experience. * Experience in materials science, sample preparation, target fabrication, precision engineering fabrication, metrology, or related laboratory functions. * Broad understanding of materials science and/or materials engineering concepts, including sample preparation, polishing techniques, and optical microscopy. * Experience with precision engineering materials fabrication, metrology, and assembly of precision components. * Experience operating computers, instrumentation, assembly stations, microscopes, and metrology equipment to collect, analyze, and document scientific results. * Proficiency with Microsoft Office software, including Word, Excel, and PowerPoint. * Strong verbal and written communication skills, including the ability to write and record precise information and interact effectively in a collaborative R&D environment. * Demonstrated ability to work independently and as part of a team. * Ability to read and understand detailed instructions, drawings, specifications, and analytical ability to diagnose and correct operational problems in equipment and tests. Additional qualifications at the 504.3 level * Advanced specialized technical expertise in one or more areas of chemistry, materials science, engineering, or microfabrication. * Ability to troubleshoot complex microfabrication problems. * Significant experience with advanced analytical, problem-solving, and decision-making skills to develop creative solutions to complex problems. * Advanced administrative and organizational skills include the use of computers and software such as MS-Word, Excel, PowerPoint, and similar applications. Qualifications we desire * Experience working with hazardous materials, and ability and willingness to work with complex conditions involving gloveboxes, cryogens, or radioactive materials. * Experience with additional materials preparation and characterization tools such hardness testing, electropolishing, ion milling, vacuum coating, white-light interferometry, and density measurements. * Experience with instrument maintenance and design and fabrication of simple fixtures * Experience with scanning electron microscopy techniques, including hands-on SEM operation Pay Range $43.55 - $63.97 Hourly $43.55 - $53.36 Hourly for the 504.2 level $52.23 - $63.97 Hourly for the 504.3 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 All your information will be kept confidential according to EEO guidelines. Position Information This is a Flexible Term appointment, which is for a definite period not to exceed six years. If final candidate is a Career Indefinite employee, Career Indefinite status may be maintained (should funding allow). 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 a Department of Energy (DOE) Q-level clearance. If you are selected, we will initiate a Federal background investigation to determine if you meet eligibility requirements for access to classified information or matter. Also, all L or Q cleared employees are subject to random drug testing. Q-level clearance requires U.S. citizenship. 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" : "Target Fabrication and Materials Characterization Technologist at Lawrence Livermore National Laboratory", "postedDate" : "2026-06-15T13:56:35.000", "createdAt" : "2026-06-15T21:56:07.891", "lastUpdated" : "2026-06-16T08:25:55.648", "ingestTimestamp" : "2026-06-15T21:56:07.891", "mongoId" : "6a305382f292fd229cf132e2", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 85000, "salaryAnnualMax" : 135000, "salaryBand" : "75k-100k", "hasSalary" : true, "allSkills" : [ ], "skillCount" : 0, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Mid", "dataQualityScore" : 0.8888889, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.95 }, { "id" : "6a305342f292fd229cf11fcd", "title" : "Target Fabrication and Materials Characterization Technologist", "company" : "Lawrence Livermore National Laboratory", "industry" : "Research", "salary" : { "min" : 85000.0, "max" : 135000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline compensation for a Mid-level Technologist in Livermore, CA, adjusted for the technology industry and a large research laboratory setting." }, "location" : "Livermore, CA, United States", "locations" : [ "Livermore", "CA", "United States" ], "timestamp" : "2026-06-16T05:36:01.876", "fingerprint" : "319fd08e3b3d270460d65aadfbd82652afa848d173e2c06b22fa5a7e50a71c20", "source" : "smartrecruiters", "language" : "en", "applyUrl" : "https://jobs.smartrecruiters.com/LLNL/3743990013618337-target-fabrication-and-materials-characterization-technologist-", "externalId" : "3743990013618337", "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" : 0, "experienceMaxYears" : 2, "experienceLevel" : "entry", "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 are seeking a Laboratory Technologist to support target fabrication, precision component assembly, metallography, sample preparation, and microscopy within the Materials Science Division’s (MSD) Materials Characterization Center (MCC). You will perform a range of moderate to complex work in support of multiple LLNL programs and principal investigators, including activities in the National Ignition Facility (NIF) HiZ Target Fabrication Laboratory. The work includes fabrication, metrology, characterization, and assembly of macro- to micro-scale precision engineered components and one-of-a-kind samples. Responsibilities include operation of computer-controlled and manually operated assembly stations, dimensional inspection using microscopes and optical coordinate measuring machines, preparation and installation of thin films into components or subassemblies, and execution of multi-step target subassembly and base assembly procedures. The role will also involve work with hazardous materials, including radioactive materials and beryllium, performed within containment enclosures such as inert-atmosphere gloveboxes and fume hoods. The position supports timely delivery of high-quality results, clear documentation, and strong customer engagement within a collaborative R&D environment. This position requires full-time on-site presence due to the nature of the work. This position will be filled at either the 504.2 or 504.3 level depending on your qualifications. Additional job responsibilities (outlined below) will be assigned if you are selected at the higher level. You will * Perform moderately complex to complex target fabrication, precision assembly, metallography, and materials characterization activities, including sample preparation, polishing, and optical microscopy. * Utilize microscopes and optical coordinate measuring machines to perform dimensional inspection and metrology of precision components * Operate computer-controlled and manually operated assembly stations and other laboratory instrumentation. * Prepare, assemble, and analyze one-of-a-kind samples and components, including hazardous materials such as beryllium and radioactive materials, while following detailed instructions, drawings, and specifications. * Interact effectively with resident staff and other engineering, scientific, technical, and administrative personnel from a variety of organizations. * Maintain a high level of administrative and on-the-job training required for work in hazardous environments, cleanroom settings, and with hazardous materials. * Perform other duties as assigned. Additional job responsibilities at the 504.3 Level * Provide advanced troubleshooting skills and independently identify complex technical problems and implement solutions. * Create safety documents, Standard Operating Procedures (SOPs), and other documentation, including test reports. * Acquire, analyze and may interpret moderately complex data. ## Qualifications * Ability to secure and maintain a U.S. DOE Q-level security clearance, which requires U.S. citizenship * Associate degree in Chemistry, Materials, Electronics, Engineering or related field; or equivalent combination of education and related experience. * Experience in materials science, sample preparation, target fabrication, precision engineering fabrication, metrology, or related laboratory functions. * Broad understanding of materials science and/or materials engineering concepts, including sample preparation, polishing techniques, and optical microscopy. * Experience with precision engineering materials fabrication, metrology, and assembly of precision components. * Experience operating computers, instrumentation, assembly stations, microscopes, and metrology equipment to collect, analyze, and document scientific results. * Proficiency with Microsoft Office software, including Word, Excel, and PowerPoint. * Strong verbal and written communication skills, including the ability to write and record precise information and interact effectively in a collaborative R&D environment. * Demonstrated ability to work independently and as part of a team. * Ability to read and understand detailed instructions, drawings, specifications, and analytical ability to diagnose and correct operational problems in equipment and tests. Additional qualifications at the 504.3 level * Advanced specialized technical expertise in one or more areas of chemistry, materials science, engineering, or microfabrication. * Ability to troubleshoot complex microfabrication problems. * Significant experience with advanced analytical, problem-solving, and decision-making skills to develop creative solutions to complex problems. * Advanced administrative and organizational skills include the use of computers and software such as MS-Word, Excel, PowerPoint, and similar applications. Qualifications we desire * Experience working with hazardous materials, and ability and willingness to work with complex conditions involving gloveboxes, cryogens, or radioactive materials. * Experience with additional materials preparation and characterization tools such hardness testing, electropolishing, ion milling, vacuum coating, white-light interferometry, and density measurements. * Experience with instrument maintenance and design and fabrication of simple fixtures * Experience with scanning electron microscopy techniques, including hands-on SEM operation Pay Range $43.55 - $63.97 Hourly $43.55 - $53.36 Hourly for the 504.2 level $52.23 - $63.97 Hourly for the 504.3 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 All your information will be kept confidential according to EEO guidelines. Position Information This is a Flexible Term appointment, which is for a definite period not to exceed six years. If final candidate is a Career Indefinite employee, Career Indefinite status may be maintained (should funding allow). 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 a Department of Energy (DOE) Q-level clearance. If you are selected, we will initiate a Federal background investigation to determine if you meet eligibility requirements for access to classified information or matter. Also, all L or Q cleared employees are subject to random drug testing. Q-level clearance requires U.S. citizenship. 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" : "Target Fabrication and Materials Characterization Technologist at Lawrence Livermore National Laboratory", "postedDate" : "2026-06-15T13:56:35.000", "createdAt" : "2026-06-15T21:53:39.721", "lastUpdated" : "2026-06-16T05:36:01.876", "ingestTimestamp" : "2026-06-15T21:53:39.721", "mongoId" : "6a305342f292fd229cf11fcd", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 85000, "salaryAnnualMax" : 135000, "salaryBand" : "75k-100k", "hasSalary" : true, "allSkills" : [ ], "skillCount" : 0, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Mid", "dataQualityScore" : 0.8888889, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.95 }, { "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" : "6a3079f6f292fd229c0367be", "title" : "AI Researcher", "company" : "Hume AI", "industry" : "Technology", "salary" : { "min" : 180000.0, "max" : 350000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "New York, New York, United States", "locations" : [ "New York", "New York", "United States", "Remote", "San Jose", "California", "United States" ], "timestamp" : "2026-06-16T14:13:35.622", "fingerprint" : "f71a4c60e94c23187f0ef079f69aede9a9c4fe796cbb9b7e31a7d55f93fe90c4", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/humeai/jobs/4775962008", "externalId" : "4775962008", "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", "experienceMinYears" : 2, "experienceMaxYears" : 5, "experienceLevel" : "Mid", "technicalSkills" : "Python, PyTorch", "professionalSkills" : [ "Model training", "Model fine-tuning", "Data collection", "Data storage", "Data preprocessing", "Data analysis", "Software systems", "Distributed model training", "Model inference", "Benchmarking" ], "hardSkillsList" : [ "Speech-language models", "Audio models" ], "hardSkills" : [ { "name" : "Speech-language models", "level" : "intermediate" }, { "name" : "Audio models", "level" : "intermediate" } ], "majorSkills" : "AI Research, Speech-Language Models, Audio Models", "majorSkillsList" : [ "AI Research", "Speech-Language Models", "Audio Models" ], "coreResponsibilities" : "Build out software systems, Support distributed model training, Support model inference, Support benchmarking, Support massive-scale data collection, Support data storage, Support data preprocessing, Support data analysis, Solve AI research problems", "teamCollaboration" : "Work with our team", "domainKnowledge" : "Human values in AI; Empathic AI; Speech-language models; Audio understanding models", "domainList" : [ "human-values-in-ai", "empathic-ai", "speech-language-models", "audio-understanding-models" ], "domainSpecificKnowledge" : [ "Human values in AI", "Empathic AI", "Speech-language models", "Audio understanding models" ], "innovationCreativity" : "R&D projects", "qualificationsBasic" : "2+ years of experience in a research role, Experience writing production-ready code, 2+ years of experience contributing to model training/fine-tuning", "qualificationsPreferred" : "PhD preferred", "remoteFriendly" : true, "workSiteFlexibility" : "Onsite", "rawDescription" : "Hume AI is seeking talented AI researchers interested in working with our team to build state-of-the-art speech-language models (SLMs). Our new SLM training method—reinforcement learning from human expression (RLHE)—learns human preferences from behavior in millions of audio and video recordings, making SLMs superhumanly helpful, interesting, funny, eloquent, honest, and altruistic. Join us in the heart of New York City and contribute to our endeavor to ensure that AI is guided by human values, the most pivotal challenge (and opportunity) of the 21st century. About Us Hume AI is a Series B startup dedicated to building artificial intelligence that is directly optimized for human well-being. As the first company to release speech language models, we’re focused on expanding our research to encompass audio understanding models and evaluation platforms for enterprises. Our goal is to enable a future in which technology draws on an understanding of human emotional expression to better serve human goals. As part of our mission, we also conduct groundbreaking scientific research, publish in leading scientific journals like Nature, and support a non-profit, The Hume Initiative, that has released the first concrete ethical guidelines for empathic AI (www.thehumeinitiative.org). You can learn more about us on our website (https://hume.ai/) and read about us in WIRED, Forbes, and Venturebeat. About the Role We are looking for talented researchers with relevant publications, 2+ years of experience in a research role in industry, and/or a proven track record of contributions to open source language, audio, or video models. (A PhD is neither necessary nor sufficient.) We're looking for someone excited to work with our team to build state-of-the-art audio models and evaluation tools. In this role, you will build out software systems that support distributed model training, inference, and benchmarking as well as massive-scale data collection, storage, preprocessing, and analysis. You will be working to solve some of today’s most exciting AI research problems at industry scale. Requirements Expertise in the Python ecosystem and popular ML libraries and tools (e. g. PyTorch) Experience writing robust and maintainable production-ready code Comfort iterating quickly on new and uncertain research directions 2+ years of experience contributing to the training and/or fine-tuning of models with large-scale datasets of text, audio, image, and/or video data (predictive or generative) Application Note Please apply only to the position that best aligns with your qualifications. If you submit multiple applications or have applied within the past 6 months, only your initial submission will be considered. Annual Salary $180,000—$350,000 USD", "summaryDescription" : "AI Researcher at Hume AI. Skills: AI Research, Speech-Language Models, Audio Models. Build out software systems. Support distributed model training", "postedDate" : "2026-06-16T01:18:53.527", "createdAt" : "2026-06-16T01:18:53.527", "lastUpdated" : "2026-06-16T14:13:35.622", "ingestTimestamp" : "2026-06-16T01:18:53.527", "mongoId" : "6a3079f6f292fd229c0367be", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 180000, "salaryAnnualMax" : 350000, "salaryBand" : "150k-200k", "hasSalary" : true, "allSkills" : [ "Speech-language models", "Audio models", "AI Research", "Speech-Language Models", "Audio Models", "Model training", "Model fine-tuning", "Data collection", "Data storage", "Data preprocessing", "Data analysis", "Software systems", "Distributed model training", "Model inference", "Benchmarking", "Human values in AI", "Empathic AI", "Audio understanding models" ], "skillCount" : 18, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Junior", "dataQualityScore" : 1.0, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "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. 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SOC teams; Product teams; Research teams; Data teams; Underground intelligence teams", "projectManagementSkills" : [ "Manage research projects" ], "domainKnowledge" : "Cloud networking; Network security; SASE; Malware; Phishing; C&C; Exploitation; Attacker behavior; AI threats", "domainList" : [ "cloud-networking", "network-security", "sase", "malware", "phishing", "c-c", "exploitation", "attacker-behavior", "ai-threats" ], "domainSpecificKnowledge" : [ "Cloud networking", "Network security", "SASE", "Malware", "Phishing", "C&C", "Exploitation", "Attacker behavior", "AI threats" ], "toolProficiency" : [ "AI tools", "AI coding assistants", "Agentic workflows" ], "communicationSkills" : "Written communication; Verbal communication; Presentations; Blogs; Reports", "documentationSkills" : "Technical research; Blogs; Reports", "problemSolvingSkills" : "Data analysis; Automation", "qualificationsBasic" : "3+ years cybersecurity experience, 3+ years threat intelligence experience, 3+ years threat research experience, 3+ years security analysis experience, Understanding cybersecurity threat landscape, Practical knowledge threat intelligence concepts, SQL and data analysis skills, Ability to build scripts, Ability to build tools, Ability to build lightweight agents, Fluent English", "qualificationsPreferred" : "Experience publishing blogs, Experience publishing reports, Experience publishing whitepapers, Experience publishing conference talks, Experience with Python, Experience with BI tools, Experience with data warehouses, Experience with XDR, Experience with MDR, Experience with SIEM, Experience with EDR, Experience with NDR, Experience with SASE products", "workSiteFlexibility" : "Onsite", "rawDescription" : "Welcome to the future of cloud networking and security! Cato Networks is the first company to converge enterprise networking and security into one centralized and global service that is delivered by cloud. It is led by networking and security pioneer Shlomo Kramer (Check Point, Imperva) and early investor (Palo Alto Networks, Exabeam, Trusteer and more). Cato’s unique technology inspired a brand-new product category, later named “SASE” by Gartner and a market expected to reach $28.5 billion by 2028. This is your opportunity to get on the rocket ship and join a company that is building a cutting-edge enterprise network and secure cloud platform, and is on a fast track to becoming the worldwide market leader – don’t miss it! Cato Networks is looking for a network and Security Researcher. This key position within the threat intelligence group will be in charge of analyzing the vast amount of data that is managed by Cato Networks, develop threat intelligence on adversarial TTPs (tactics, techniques and procedures) and generate reports, presentations and blogs on anomalies and tools identified. This role goes beyond the analyst role, as a key member of the team the threat intelligence researcher will work with internal security teams, network data, underground intelligence teams and much more, performing cutting edge research followed by presenting the research externally via various mediums. Responsibilities Monitor and analyze the evolving cybersecurity threat landscape, with a focus on threat intelligence and AI-related security trends Research threat actors, attack techniques, campaigns, and emerging threats using external intelligence and internal data Analyze Cato’s internal data warehouse to identify security trends, attack patterns, and actionable insights Use SQL, scripting, and AI tools to support threat research, data analysis, and automation Build internal tools, workflows, or AI agents to improve research efficiency and data investigation Produce high-quality threat research content, including blogs, reports, and customer-facing insights Present research findings at conferences, webinars, company events, and internal sessions Collaborate with SOC, product, research, and data teams to improve detections and product intelligence Independently manage research projects from idea to analysis, publication, and presentation Requirements: Proven experience in cybersecurity, 3+ Years, threat intelligence, threat research, or security analysis Strong understanding of the cybersecurity threat landscape, including malware, phishing, C&C, exploitation, and attacker behavior Practical knowledge of threat intelligence concepts, including IOCs, TTPs, MITRE ATT&CK, threat actors, and campaigns Strong SQL and data analysis skills, with the ability to extract insights from large datasets Comfortable using AI tools, AI coding assistants, and agentic workflows for research and automation Ability to build scripts, tools, or lightweight agents to support security research Strong writing skills, with the ability to publish detailed and compelling technical research Strong presentation skills and ability to represent Cato at conferences and company events High curiosity around AI threats, threat actors, and emerging cybersecurity trends Self-sufficient, disciplined, and able to independently drive research initiatives Fluent English with excellent written and verbal communication skills Advantageous: Experience publishing blogs, reports, whitepapers, or conference talks Advantageous: Experience with Python, BI tools, data warehouses, XDR, MDR, SIEM, EDR, NDR, or SASE products", "summaryDescription" : "Security Researcher at Cato Networks. 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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: Replacement Site: Princess Margaret Cancer Research Tower Department: Research Reports To: Principal Investigator Salary Range: $54,902 - $93,333 Per Year Hours: 37.5 Hours Per Week Shifts: Monday - Friday Status: Temporary Full-time (1-Year Contract) Closing Date: June 24, 2026 Position Summary: A Postdoctoral Researcher position is available in the laboratory of Dr. Steven Chan at the Princess Margaret Cancer Centre. The Chan Laboratory studies the biology of acute myeloid leukemia (AML), leukemic stem cells, and clonal hematopoiesis (CH), with a strong translational focus on discovering and exploiting novel therapeutic vulnerabilities in pre-malignant and malignant myeloid cells. This project will define the genetic and synthetic-lethal interactions of high-risk clonal hematopoiesis mutations, including TP53 and spliceosome (splicing factor) mutations, that drive the progression of CH to myelodysplastic syndromes (MDS) and AML. The successful candidate will combine genetically engineered mouse models with genome-wide and focused CRISPR/Cas9 screens to uncover context-specific dependencies in mutant hematopoietic stem and progenitor cells. The ultimate goal is to nominate new strategies to intercept high-risk clonal hematopoiesis and to prevent or treat myeloid malignancy. Duties: * Design, execute, and analyze pooled CRISPR/Cas9 screens (genome-wide and focused) in primary cells and cell-line models to identify synthetic-lethal and genetic interactions with high-risk CH mutations. * Generate and characterize genetically engineered and transplantation mouse models of clonal hematopoiesis and myeloid malignancy, including colony management and in vivo experiments. * Construct and produce lentiviral and/or retroviral vectors for gene knockout, knockdown, and overexpression. * Perform a broad range of molecular and cellular biology techniques. E.g., molecular cloning, qPCR, Western blotting, flow cytometry and cell sorting, and primary hematopoietic cell culture. * Analyze and integrate functional genomic and next-generation sequencing datasets in collaboration with the lab’s computational team. * Maintain rigorous, well-documented records and adhere to laboratory quality, biosafety, and animal-care standards. * Prepare manuscripts, figures, and presentations and present findings at lab meetings and scientific conferences. * Contribute to grant writing and help conceive new research directions for the laboratory. * Mentor and support graduate and undergraduate trainees as needed. ## Qualifications * Awarded a PhD within the previous 5 years, or an MD or DDS within the previous 10 years, in molecular biology, cancer biology, hematology, genetics, or a related discipline * Strong hands-on molecular biology expertise, including CRISPR/Cas9-based gene editing and screening - required. * Experience designing and producing lentiviral (and/or retroviral) vectors - required. * Demonstrated mouse handling and in vivo experimental experience (e.g., bone marrow transplantation, colony management, in vivo treatment studies) - required. * Background in oncology, ideally in hematologic malignancies (AML, MDS, or clonal hematopoiesis) - strongly preferred. * Flow cytometry and cell sorting, and primary hematopoietic cell culture - required. * Familiarity with analysis of CRISPR-screen and/or NGS data (e.g., MAGeCK, DrugZ, R/Python) — an asset. * A strong first-author publication record demonstrating productivity and technical rigour. * Excellent problem-solving, organizational, and record-keeping skills. * Strong written and verbal communication skills in English. * Ability to work both independently and collaboratively within a multidisciplinary team. ## 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: Software Development, Cloud Platforms, Containerization, CI/CD. Design, develop, and deploy scalable software solutions. 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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: Replacement Site: Princess Margaret Cancer Research Tower Department: Research Reports To: Principal Investigator Salary Range: $54,902 - $93,333 Per Year Hours: 37.5 Hours Per Week Shifts: Monday - Friday Status: Temporary Full-time (1-Year Contract) Closing Date: June 24, 2026 Position Summary: A Postdoctoral Researcher position is available in the laboratory of Dr. Steven Chan at the Princess Margaret Cancer Centre. The Chan Laboratory studies the biology of acute myeloid leukemia (AML), leukemic stem cells, and clonal hematopoiesis (CH), with a strong translational focus on discovering and exploiting novel therapeutic vulnerabilities in pre-malignant and malignant myeloid cells. This project will define the genetic and synthetic-lethal interactions of high-risk clonal hematopoiesis mutations, including TP53 and spliceosome (splicing factor) mutations, that drive the progression of CH to myelodysplastic syndromes (MDS) and AML. The successful candidate will combine genetically engineered mouse models with genome-wide and focused CRISPR/Cas9 screens to uncover context-specific dependencies in mutant hematopoietic stem and progenitor cells. The ultimate goal is to nominate new strategies to intercept high-risk clonal hematopoiesis and to prevent or treat myeloid malignancy. Duties: * Design, execute, and analyze pooled CRISPR/Cas9 screens (genome-wide and focused) in primary cells and cell-line models to identify synthetic-lethal and genetic interactions with high-risk CH mutations. * Generate and characterize genetically engineered and transplantation mouse models of clonal hematopoiesis and myeloid malignancy, including colony management and in vivo experiments. * Construct and produce lentiviral and/or retroviral vectors for gene knockout, knockdown, and overexpression. * Perform a broad range of molecular and cellular biology techniques. E.g., molecular cloning, qPCR, Western blotting, flow cytometry and cell sorting, and primary hematopoietic cell culture. * Analyze and integrate functional genomic and next-generation sequencing datasets in collaboration with the lab’s computational team. * Maintain rigorous, well-documented records and adhere to laboratory quality, biosafety, and animal-care standards. * Prepare manuscripts, figures, and presentations and present findings at lab meetings and scientific conferences. * Contribute to grant writing and help conceive new research directions for the laboratory. * Mentor and support graduate and undergraduate trainees as needed. ## Qualifications * Awarded a PhD within the previous 5 years, or an MD or DDS within the previous 10 years, in molecular biology, cancer biology, hematology, genetics, or a related discipline * Strong hands-on molecular biology expertise, including CRISPR/Cas9-based gene editing and screening - required. * Experience designing and producing lentiviral (and/or retroviral) vectors - required. * Demonstrated mouse handling and in vivo experimental experience (e.g., bone marrow transplantation, colony management, in vivo treatment studies) - required. * Background in oncology, ideally in hematologic malignancies (AML, MDS, or clonal hematopoiesis) - strongly preferred. * Flow cytometry and cell sorting, and primary hematopoietic cell culture - required. * Familiarity with analysis of CRISPR-screen and/or NGS data (e.g., MAGeCK, DrugZ, R/Python) — an asset. * A strong first-author publication record demonstrating productivity and technical rigour. * Excellent problem-solving, organizational, and record-keeping skills. * Strong written and verbal communication skills in English. * Ability to work both independently and collaboratively within a multidisciplinary team. ## 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. 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Design, execute, and synthesize usability and human factors studies focused on physical product interactions across the product lifecycle - Lead reporting and communication of research insights with a focus on hardware design, usability, and member experience - Support research protocol design and evaluation of software experiences, directional prototypes, and emerging product concepts - Prioritize research opportunities and findings in a cross-functional environment, partnering closely with Industrial Design, Engineering, Product Management, and other stakeholders - Proactively identify and conduct research that informs decision-making for both individual contributors and leadership teams - Contribute to research initiatives across a variety of product spaces, including applied research, exploratory concepts, and product validation efforts QUALIFICATIONS: - - Bachelor’s or Master’s degree in Industrial Design, User Experience, Human-Computer Interaction (HCI), Human Factors, Psychology, Design Research, or a related field - 3–5 years of experience conducting product research in an applied research, human factors, usability, or user-centered design environment - Experience utilizing mixed-methods research approaches for consumer technology, wearable devices, health products, or related experiences - Demonstrated ability to independently design, execute, and synthesize research studies that drive product and design decisions - Strong communication and storytelling skills, with experience presenting insights to cross-functional stakeholders and leadership - Working knowledge of research operations, data management systems, and productivity tools including Google Workspace - Strong attention to detail, organizational skills, and ability to manage multiple projects in a fast-paced environment - Experience working directly with study participants or customers in research, service, or participant-facing environments is a plus - Professional, collaborative, and 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Join Accenture Federal Services, a technology company within global Accenture. Recognized as a Glassdoor Top 100 Best Place to Work, we offer a collaborative and caring community where you feel like you belong and are empowered to grow, learn and thrive through hands-on experience, certifications, industry training and more. Join us to drive positive, lasting change that moves missions and the government forward! The Work As a Target System Analysis (TSA) Analyst, you will analyze all‑source intelligence and produce advanced, decision‑quality target system assessments in a dynamic theater environment. You’ll integrate intelligence into operational planning and contribute across the Joint Targeting Cycle to enable precise, compliant, and operationally relevant effects. Develop advanced Target System Assessments (TSAs) using all‑source methods; synthesize complex data into clear analytic products and briefings for senior stakeholders. Integrate intelligence with operational planning activities, supporting Joint Intelligence Preparation of the Operational Environment (JIPOE/JIOPE) and target development (basic, intermediate, and advanced). Contribute across the Joint Targeting Cycle, including weaponeering inputs, collateral damage estimation (CDE), target validation, and effects assessment. Apply DIA tradecraft (e.g., Center of Gravity and Critical Factors Analysis) and analytic methodologies; maintain rigorous analytic design and documentation standards. Use mission systems and collaboration platforms (e.g., RMT, CHROME, Cedalion, Warpath, MARS, MIDB) to research, fuse, and share intelligence. Coordinate with COCOM J2 targeting cells and joint/coalition partners; ensure alignment with Combatant Command (COCOM) structures, directives, and processes. Produce high‑quality analytical writing, visualizations, and briefings that translate complex findings into actionable insights for operators and planners. Here's What You Need Joint Targeting Fundamentals (JTF) certification is required Knowledge and/or familiarization with the below publications JP 5‑0 (Joint Planning); JP 2‑0 (Joint Intelligence) Target System Analysis (TSA) Working Group document CJCS 3162.01 (Irregular Warfare) Headquarters Joint Operations Center (JOC) J2T Handbook Defense Intelligence Reference Documents (DIRD): Analytic Methodologies; Analytic Design DIA Tradecraft: Center of Gravity & Critical Factors Analysis Joint Staff Director of Intelligence — Joint Guide for JIOPE/JIPOE General familiarity with COCOM‑specific directives and operational frameworks Prior service in a COCOM J2 targeting cell with 3+ years of relevant TSA experience preferred Proficiency with intelligence analysis tools (e.g., RMT, CHROME, Cedalion, Warpath, MARS, MIDB) and collaboration platforms. Eligibility Requirements US Citizen Active TS/SCI clearance Ability to work onsite in Molesworth, UK As required by local law, Accenture Federal Services provides reasonable ranges of compensation for hired roles based on labor costs in the states of California, Colorado, Hawaii, Illinois, Maryland, Massachusetts, Minnesota, New Jersey, New York, Washington, Vermont, the District of Columbia, and the city of Cleveland. The base pay range for this position in these locations is shown below. Compensation for roles at Accenture Federal Services varies depending on a wide array of factors, including but not limited to office location, role, skill set, and level of experience. Accenture Federal Services offers a wide variety of benefits. You can find more information on benefits here. We accept applications on an on-going basis and there is no fixed deadline to apply. The pay range for the states of California, Colorado, Hawaii, Illinois, Maryland, Massachusetts, Minnesota, New Jersey, New York, Washington, Vermont, the District of Columbia, and the city of Cleveland is: $78,600—$160,200 USD What We Believe As a company wholly dedicated to serving the US federal government, we bring together the best talent to help reinvent how federal agencies operate and deliver greater value for their mission and the American people. We have an unwavering commitment to creating a culture in which all our people are respected, feel a sense of belonging, and have equal opportunity. As a business imperative, every person at Accenture Federal Services has the responsibility to create and sustain a culture where everyone feels welcomed and included. This is grounded in our core values and our experience that hiring and developing great people who reflect different perspectives, experiences, and backgrounds is key to driving innovation and delivering the results that our clients and the country count on. Equal Employment Opportunity Statement We believe that no one should be discriminated against because of their differences. All employment decisions shall be made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other basis as protected by federal, state, or local law. Our rich diversity makes us more innovative, more competitive, and more creative, which helps us better serve our clients and our communities. For details, view a copy of the Accenture Federal Services Equal Opportunity Policy Statement. Accenture Federal Services is an Equal Employment Opportunity employer. Additionally, as an Affirmative Action Employer for Veterans and Individuals with Disabilities, Accenture Federal Services is committed to providing veteran employment opportunities to our service men and women. Requesting An Accommodation Accenture Federal Services is committed to providing equal employment opportunities for persons with disabilities or religious observances, including reasonable accommodation when needed. If you are hired by Accenture Federal Services and require accommodation to perform the essential functions of your role, you will be asked to participate in our reasonable accommodation process. Accommodations made to facilitate the recruiting process are not a guarantee of future or continued accommodations once hired. If you are being considered for employment opportunities with Accenture Federal Services and need an accommodation for a disability or religious observance during the interview process or for the job you are interviewing for, please speak with your recruiter. Other Employment Statements Applicants for employment in the US must have work authorization that does not now or in the future require sponsorship of a visa for employment authorization in the United States. Candidates who are currently employed by a client of Accenture Federal Services or an affiliated Accenture business may not be eligible for consideration. Job candidates will not be obligated to disclose sealed or expunged records of conviction or arrest as part of the hiring process. The Company will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. Additionally, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by the employer, or (c) consistent with the Company's legal duty to furnish information. California requires additional notifications for applicants and employees. If you are a California resident, live in or plan to work from Los Angeles County upon being hired for this position, please click here for additional important information.", "summaryDescription" : "Target System Analysis Analyst at Accenture Federal Services", "postedDate" : "2026-06-15T23:19:16.338", "createdAt" : "2026-06-15T23:19:16.338", "lastUpdated" : "2026-06-16T10:37:14.761", "ingestTimestamp" : "2026-06-15T23:19:16.338", "mongoId" : "6a3051f8f292fd229cf09f01", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "50k-75k", "hasSalary" : false, "allSkills" : [ ], "skillCount" : 0, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Mid", "dataQualityScore" : 0.6666667, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Government", "llmIndustryConfidence" : 0.95 }, { "id" : "6a309712f292fd229c0d9579", "title" : "Associate Director, Drug Substance CMC", "company" : "Centessa Pharmaceuticals", "industry" : "Pharma", "salary" : { "min" : 185000.0, "max" : 200000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Boston, MA", "locations" : [ "Boston", "MA" ], "timestamp" : "2026-06-16T11:02:25.025", "fingerprint" : "1e10a00c14106388f80ef1283ba443fd060205764e9efbdb868d2ae2b85b28bc", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/centessapharmaceuticalsinc/jobs/6026935004", "externalId" : "6026935004", "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", "minimumEducation" : "PhD", "experienceMinYears" : 10, "experienceLevel" : "Director", "technicalSkills" : "Chemistry, Chemical Engineering, Pharmaceutical Sciences, Process Chemistry, API Manufacturing", "professionalSkills" : [ "Project management", "Vendor management", "CDMO coordination" ], "hardSkillsList" : [ "Process development", "Scale-up", "Tech transfer", "Process characterization", "API manufacturing" ], "softSkillsList" : [ "Leadership" ], "hardSkills" : [ { "name" : "Process development", "level" : "intermediate" }, { "name" : "Scale-up", "level" : "intermediate" }, { "name" : "Tech transfer", "level" : "intermediate" }, { "name" : "Process characterization", "level" : "intermediate" }, { "name" : "API manufacturing", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Leadership" } ], "majorSkills" : "Drug Substance CMC, Process Chemistry, API Manufacturing", "majorSkillsList" : [ "Drug Substance CMC", "Process Chemistry", "API Manufacturing" ], "coreResponsibilities" : "Seek buy-in, Provide on-going support, Address business needs, Escalate information, Cascade information", "teamCollaboration" : "Managing project teams; Managing CDMOs; Managing vendors", "projectManagementSkills" : [ "Project management" ], "domainKnowledge" : "Small molecules; GMP/GLP regulations; cGMP requirements", "domainList" : [ "small-molecules", "gmp-glp-regulations", "cgmp-requirements" ], "domainSpecificKnowledge" : [ "Small molecules", "GMP/GLP regulations", "cGMP requirements" ], "communicationSkills" : "Written communication; Verbal communication", "problemSolvingSkills" : "Analytical skills; Organizational skills; Decision-making skills", "specialRequirements" : "Travel 15% - 20%", "qualificationsBasic" : "PhD in Chemistry, Chemical Engineering, Pharmaceutical Sciences, or related discipline, MS with extensive relevant biotech/pharmaceutical industry experience, 10+ years of experience in biotech/pharmaceutical industry, Experience in small molecules, Experience in early to late development (pre-clinical to phase 3), Extensive experience in process chemistry development, Extensive experience in scale-up, Extensive experience in tech transfer, Extensive experience in process characterizations, Deep understanding of GMP/GLP regulations, Demonstrated experience with managing project teams, Demonstrated experience with managing CDMOs, Demonstrated experience with managing other vendors, Proven expertise in process chemistry, Proven expertise in early and late stages API manufacturing, Ability to coordinate CDMO activities, Thorough understanding of cGMP requirements, Ability to work independently, Ability to work in a fast-paced dynamic environment, Ability to work with multiple projects, Analytical skills, Organizational skills, Decision-making skills", "qualificationsPreferred" : "Extensive relevant biotech/pharmaceutical industry experience (for MS)", "workSiteFlexibility" : "Onsite", "rawDescription" : "Centessa Pharmaceuticals plc (Nasdaq: CNTA) new kind of pharmaceutical company with a deconstructed R proactively seek buy-in and provide on-going support to address business needs. Escalate and cascade information as needed with discretion. Qualifications PhD in Chemistry, Chemical Engineering, Pharmaceutical Sciences, or a related discipline or MS with extensive relevant biotech/pharmaceutical industry experience 10+ years of experience in biotech/pharmaceutical industry in small molecules, working in early to late development (pre-clinical to phase 3) Extensive experience in process chemistry development, scale-up, tech transfer and process characterizations, as well as deep understanding of GMP/GLP regulations. Demonstrated experience with managing project teams, CDMOs and other vendors. Proven expertise in process chemistry and early and late stages API manufacturing and ability to coordinate CDMO activities in the development and commercialization of pharmaceutical products. Thorough understanding of cGMP requirements for pharmaceutical products. Ability to work Ability to work independently in a fast-paced dynamic environment with multiple projects. Strong analytical, organizational and decision-making skills. Excellent communication skills, both written, verbal Must be willing to travel both domestically and internationally approximately 15% - 20% of the time. Compensation The annual base salary range for this position is $185,000.00 to $200,000.00. Individual compensation within this range will be determined based on a variety of factors, including qualifications, skills, relevant experience, and job knowledge. In addition to base pay, this role is eligible for a discretionary annual bonus. Centessa also offers a comprehensive benefits package, which includes a 401(k) plan, company-sponsored medical, dental, vision, and life insurance, generous paid time off, and a health and wellness program. Work Location The Associate Director, Drug Substance CMC role is based in the US, with occasional travel (15% - 20%). POSITION: Full-Time, Exempt EEOC Statement: Centessa Pharmaceuticals believes in a diverse environment and is committed to equal employment opportunity for all its employees and qualified applicants. We do not discriminate in recruitment, hiring, training, promotion, or any other employment practices for reasons of race, color, religion, gender, national origin, age, sexual orientation, marital or veteran status, disability, or any other legally protected status. Centessa Pharmaceuticals will make reasonable accommodations for qualified individuals with known disabilities, in accordance with applicable law. Please note: We will not assign referral rights for any unsolicited resumes from recruitment agencies.", "summaryDescription" : "Associate Director, Drug Substance CMC at Centessa Pharmaceuticals. Skills: Drug Substance CMC, Process Chemistry, API Manufacturing. Seek buy-in. 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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: Playing a critical role as a technical lead within the Drug Substance function, the position will be responsible for process research and development and scale-up of manufacturing in support of Revolution Medicines’ pipeline compound development, clinical programs and commercial readiness. Responsibilities: Responsible for developing chemical processes for the manufacture of drug substance, intermediates and/or starting materials, including route evaluation and process optimization. Conduct process development and optimization studies according to the principles of quality by design (QbD), to enable regulatory starting materials designation, establish control strategy and process characterization studies using tools such as design of experiment (DOE) studies. Lead and/or enable technology transfer, process familiarization, and manufacturing at CDMOs. Participate in identification, selection, and management of CROs and CDMOs including management of redundant supply and geographic diversity. Write, review, and approve protocols, manufacturing batch records, and development and campaign reports. Author, review the relevant CMC sections of regulatory filings and patent applications. Partner with analytical development, pharmaceutical development, and supply chain functions to design overall strategy for programs. Communicate effectively within cross functional project teams. Travel to CRO/CDMO for the oversight of development activities and manufacturing (up to approximately 15%). Required Skills, Experience and Education: PhD (minimum MSc degree) in organic chemistry, chemical engineering or related discipline. 10 or more years (15+ years for Master’s degree) of relevant industrial experience in chemical / drug substance process research and development. Strong people management skills. Hands-on proficiency in synthetic organic chemistry. Knowledge of current ICH guidelines, GMP, and relevant industry practices. Working experience and knowledge of regulatory submissions (IND, IMPD, NDA and MAA). Previous experience managing projects at CROs/CDMOs. Strong problem solving skills with sound technically driven decision-making ability. Effective written and verbal communication skills and interpersonal skills. An innovative team-player with high energy for our dynamic company environment. 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 $211,000—$264,000 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" : "Director, Drug Substance at Revolution Medicines", "postedDate" : "2026-06-14T20:13:34.920", "createdAt" : "2026-06-14T20:13:34.920", "lastUpdated" : "2026-06-15T21:40:21.806", "ingestTimestamp" : "2026-06-14T20:13:34.920", "mongoId" : "6a2ca61574d8ee00a09b95db", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 211000, "salaryAnnualMax" : 264000, "salaryBand" : "200k+", "hasSalary" : true, "allSkills" : [ ], "skillCount" : 0, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Director", "dataQualityScore" : 0.8888889, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Biotech", "llmIndustryConfidence" : 0.98 }, { "id" : "69dde45c2beec4dd3d9a3f9e", "title" : "Postdoctoral Fellow - Computational and Quantitative Medicine", "company" : "City of Hope", "industry" : "Healthcare", "salary" : { "min" : 60000.0, "max" : 85000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Postdoctoral Fellow in the Biotech industry in Monrovia, California, adjusted for entry-level seniority." }, "location" : "United States-California-Monrovia", "locations" : [ "United States-California-Monrovia", "Post-doctoral Research", "Onsite, Days, Days" ], "certifications" : [ "GCP Professional Data Engineer", "AWS Data Analytics", "Databricks Certified", "Dbt Certified" ], "timestamp" : "2026-06-16T08:17:43.745", "fingerprint" : "5e58bc0dc6aa312fdbc404e13e9157060ab95138ff31668d6bed755cf363f48b", "source" : "taleo", "language" : "en", "applyUrl" : "https://aa067.taleo.net/careersection/ex/jobdetail.ftl?job=210304", "externalId" : "210304", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Monrovia", "state" : "California", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "34.1483499,-118.0014517" } ], "locationText" : "Monrovia, California, United States", "minimumEducation" : "PhD", "technicalSkills" : "SQL, Python, R, Scala, Spark, Dbt, Snowflake, BigQuery, Redshift, Databricks, Fivetran, Airflow, Dbt Cloud, Delta Lake, Scikit-learn, TensorFlow, PyTorch, XGBoost, LightGBM, Hugging Face, MLflow, AWS, SageMaker, Athena, GCP, Vertex AI, Azure, Synapse, ML Studio", "professionalSkills" : [ "Quantitative analysis", "Data engineering", "Machine learning", "Business intelligence", "Analytics engineering", "Data science" ], "hardSkillsList" : [ "Statistical methods", "ML frameworks", "BI platforms", "Cloud data stacks", "Modelling skills" ], "hardSkills" : [ { "name" : "Statistical methods", "level" : "intermediate" }, { "name" : "ML frameworks", "level" : "intermediate" }, { "name" : "BI platforms", "level" : "intermediate" }, { "name" : "Cloud data stacks", "level" : "intermediate" }, { "name" : "Modelling skills", "level" : "intermediate" } ], "majorSkills" : "Data science, Data engineering, Machine learning, Business intelligence", "majorSkillsList" : [ "Data science", "Data engineering", "Machine learning", "Business intelligence" ], "toolProficiency" : [ "Tableau", "Power BI", "Looker", "Metabase", "Superset", "Qlik", "MicroStrategy" ], "qualificationsBasic" : "PhD required, 5+ years experience, SQL proficiency required", "qualificationsPreferred" : "PhD preferred, Specific ML framework experience, Cloud platform certifications", "remoteFriendly" : false, "rawDescription" : "Join the forefront of groundbreaking research at the Beckman Research Institute of City of Hope, where we're changing lives and making a real difference in the fight against cancer, diabetes, and other life-threatening illnesses. Our dedicated and compassionate faculty and staff are driven by a common mission: Contribute to innovative approaches in predicting, preventing, and curing diseases, shaping the future of medicine through cutting-edge research. A Postdoctoral Research Fellow position is open under Dr. Nagarajan Vaidehi within the department of Computational and Quantitative Medicine. This project involves the development and application of interpretable machine learning methods to uncover allosteric regulation of disordered regions in the dynamics of G-protein coupled receptors to enable design of allosteric modulators. You will work on developing design principles of targeted protein degradation in collaboration with Pharma. For more information on Dr. Vaidehi’s lab please visit here . Your qualifications should include: · PhD or M.D. in Chemistry, Physics or Biochemistry with experience in protein dynamics studies. · Knowledgeable about concepts in statistical thermodynamics, in python scripting and C++ programming. · Familiarity with Molecular Dynamics methods and experience in code development is preferred. City of Hope employees pay is based on the following criteria: work experience, qualifications, and work location. City of Hope is an equal opportunity employer. To learn more about our Comprehensive Benefits, please CLICK HERE . United States-California-Monrovia", "summaryDescription" : "Postdoctoral Fellow - Computational and Quantitative Medicine at City of Hope. Skills: Data science, Data engineering, Machine learning, Business intelligence", "createdAt" : "2026-06-14T19:54:56.791", "lastUpdated" : "2026-06-16T08:17:43.745", "ingestTimestamp" : "2026-06-14T19:54:56.791", "mongoId" : "69dde45c2beec4dd3d9a3f9e", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 60000, "salaryAnnualMax" : 85000, "salaryBand" : "50k-75k", "hasSalary" : true, "allSkills" : [ "Statistical methods", "ML frameworks", "BI platforms", "Cloud data stacks", "Modelling skills", "Data science", "Data engineering", "Machine learning", "Business intelligence", "Quantitative analysis", "Analytics engineering", "GCP Professional Data Engineer", "AWS Data Analytics", "Databricks Certified", "Dbt Certified", "Tableau", "Power BI", "Looker", "Metabase", "Superset", "Qlik", "MicroStrategy" ], "skillCount" : 22, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Entry", "dataQualityScore" : 0.6666667, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Biotech", "llmIndustryConfidence" : 0.95 }, { "id" : "6a30a2adf292fd229c11e9ac", "title" : "Multi Skilled Engineer", "company" : "HelloFresh", "industry" : "Manufacturing", "salary" : { "min" : 65000.0, "max" : 85000.0, "currency" : "GBP", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Lead Multi Skilled Engineer in Derby, United Kingdom, adjusted for the food and beverage industry and company size." }, "location" : "Derby, England, United Kingdom", "locations" : [ "Derby", "England", "United Kingdom" ], "timestamp" : "2026-06-16T14:38:00.730", "fingerprint" : "465cf158495b479ecc38be5198033fbc660acf0a52d9cf8ff3ca4aed3693340f", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://careers.hellofresh.com/global/en/job/8007181?gh_jid=8007181", "externalId" : "8007181", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Derby", "state" : "England", "country" : "United Kingdom", "continent" : "eu", "source" : "llm", "workMode" : "onsite", "geo" : "52.9142235,-1.4719885" } ], "locationText" : "Derby, England, United Kingdom", "employmentType" : "FULL_TIME", "technicalSkills" : "Automation, Controls systems, Sensors, PLCs, Communication protocols, Robotics, HMIs, VFDs, CMMS", "professionalSkills" : [ "Root cause analysis", "Continuous Improvement", "Vendor audit" ], "hardSkillsList" : [ "Maintenance engineering", "Automation programming", "Controls troubleshooting", "Robotics repair", "PLC maintenance", "HMI maintenance", "VFD maintenance", "Material handling systems", "Flow analysis", "Capacity visualization", "Process monitoring" ], "softSkillsList" : [ "Mentor", "Communicator" ], "hardSkills" : [ { "name" : "Maintenance engineering", "level" : "intermediate" }, { "name" : "Automation programming", "level" : "intermediate" }, { "name" : "Controls troubleshooting", "level" : "intermediate" }, { "name" : "Robotics repair", "level" : "intermediate" }, { "name" : "PLC maintenance", "level" : "intermediate" }, { "name" : "HMI maintenance", "level" : "intermediate" }, { "name" : "VFD maintenance", "level" : "intermediate" }, { "name" : "Material handling systems", "level" : "intermediate" }, { "name" : "Flow analysis", "level" : "intermediate" }, { "name" : "Capacity visualization", "level" : "intermediate" }, { "name" : "Process monitoring", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Mentor" }, { "name" : "Communicator" } ], "majorSkills" : "Automation, Controls systems, Maintenance engineering, PLCs", "majorSkillsList" : [ "Automation", "Controls systems", "Maintenance engineering", "PLCs" ], "coreResponsibilities" : "Monitor systems, Fault find systems, Repair systems, Perform preventive maintenance, Perform routine inspections, Troubleshoot out of service equipment, Correct equipment issues, Act as escalation point, Escalate issues to leadership, Escalate issues to vendors, Document all work, Mentor maintenance personnel, Develop maintenance personnel knowledge, Partner with engineering on commissioning, Audit vendor work, Write PMs, Modify PMs", "teamCollaboration" : "Facilities teams; Maintenance teams; Colleagues; Engineering; Vendors; Leadership; Talent Acquisition Team", "projectManagementSkills" : [ "Commissioning" ], "domainKnowledge" : "Manufacturing; Production environment; FMCG; Material handling systems", "domainList" : [ "manufacturing", "production-environment", "fmcg", "material-handling-systems" ], "domainSpecificKnowledge" : [ "Manufacturing", "Production environment", "FMCG", "Material handling systems" ], "toolProficiency" : [ "CMMS", "DIQ", "WMS" ], "communicationSkills" : "Technical documentation", "documentationSkills" : "Document work", "continuousLearning" : "Develop skill sets; Develop knowledge", "problemSolvingSkills" : "Root cause analysis; Troubleshooting", "specialRequirements" : "Rotating shifts, Days and nights, Health and safety compliance, DBS checks", "outcomesObjectives" : "Provide high level availability; Improve reliability of systems", "qualificationsBasic" : "Qualified in Mechatronics, Qualified in Electrical & Electronic Engineering, Qualified in Mechanical Engineering, Qualified in Manufacturing Engineering, Solid practical understanding in Mechatronics, Solid practical understanding in Electrical & Electronic Engineering, Solid practical understanding in Mechanical Engineering, Solid practical understanding in Manufacturing Engineering, Experienced in Automation Engineering, Experienced in Mechanical Engineering, Experienced in Maintenance Engineering, Proficient in PLC-controlled systems, Proficient in automated processes, Comfortable interpreting technical manuals, Comfortable interpreting engineering drawings, Comfortable interpreting schematics, Skilled in reactive maintenance, Skilled in preventative maintenance, Handling second-line escalations, Completing CMMS tasks, Adept in material handling systems, Experienced in leading Root Cause Analysis, Familiar with DIQ systems, Familiar with WMS systems, Independent right to work in UK", "qualificationsPreferred" : "Experience in manufacturing environment, Experience in production environment, Experience in FMCG, Programming PLCs, Troubleshooting PLCs, Repairing PLCs, Maintenance of PLCs, Programming HMIs, Troubleshooting HMIs, Repairing HMIs, Maintenance of HMIs, Programming VFDs, Troubleshooting VFDs, Repairing VFDs, Maintenance of VFDs, Exposure to flow analysis, Exposure to capacity visualization, Exposure to process monitoring, Coaching junior engineers, Stepping in as proxy for senior automation engineers, Supporting CI initiatives", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Job Title: Multi Skilled Engineer Location: Smart parc, Spondon, Derby DE21 7HW Shift: Suez Shift Pattern rotating days and nights, 0600-1800 and 1800-0600. Let's Discuss What's On The Table For You: 70% off HelloFresh or Green Chef boxes Free onsite parking (including ~90 EV spaces) Gym membership Bupa private medical insurance (including dental & family cover options) Nursery support scheme (save up to 40% on your nursery fees) Earn up to £500 with our Referral Program Electric vehicle scheme Cycle to work scheme Group Life Assurance Company pension scheme Mental health first aiders and an employee assistance programme Play a key part in supporting our Employee Resource Groups: FreshVets, Black Heritage Network, NEU Network (Neurodiversity), GET (Gender Equality Team) and FreshPride About The Team: As an Multi Skilled Engineer you will be the site Subject Matter Expert (SME) within the team, for all controls systems, maintenance engineering, sensors, PLCs, communication protocols, and automation for the site. You will work with the facilities and maintenance teams and colleagues to maintain and repair conveyance, automation and facilities equipment to support operations uptime and improve reliability of our systems. What You Will Be Doing: Work in a hands-on manner to actively monitor, fault find and repair systems in order to provide a high level of equipment availability to internal customers. Perform preventive maintenance and routine inspections on assigned automation, robotics and control panels. Perform troubleshooting of assigned out of service equipment and correct issues, act as an escalation point for lower level technicians, and escalate to leadership and/or vendors as needed for additional troubleshooting. Document all work in the computerized maintenance management system (CMMS) and ticketing systems as appropriate. Mentor all maintenance personnel in developing appropriate skill sets and knowledge of equipment specializing in automation, controls and robotics. Lead root cause analysis of major downtime events. Act as a network resource for technical issues and lead network-wide root cause analysis. Develop maintenance personnel knowledge on intermediate to advanced automation, controls and robotics. Partner with engineering on commissioning of new controls systems. Audit vendor work to provide feedback to leadership on quality of work and SLA performance. Write and/or modify PMs to standardize across the network and increase effectiveness. Who You Are: Qualified or Solid practical understanding in Mechatronics, Electrical & Electronic, Mechanical, or Manufacturing Engineering Experienced in Automation, Mechanical, or Maintenance Engineering, ideally within a manufacturing or production environment such as FMCG. Proficient in PLC-controlled systems and automated processes, including programming, troubleshooting, repair, and maintenance of PLCs, HMIs, VFDs, and related control systems. Comfortable interpreting technical manuals, engineering drawings, and schematics to support diagnostics and solutions. Skilled in both reactive and preventative maintenance, with a track record of handling second-line escalations and completing CMMS (Computerized Maintenance Management System) tasks. Adept in material handling systems, with exposure to flow analysis, capacity visualization, and process monitoring. A confident communicator and mentor, capable of coaching junior engineers and stepping in as proxy for senior automation engineers when required. Experienced in leading Root Cause Analysis, supporting CI (Continuous Improvement) initiatives, and familiar with DIQ and WMS systems. To be considered for this role, you’ll need to have the independent right to work in the UK, as we're unfortunately unable to provide sponsorship at this time. Next steps: Your application will be reviewed and if successful, a member of the Talent Acquisition Team will be in touch within 2 weeks. You are required to cooperate with HelloFresh in all health and safety matters. You are responsible for ensuring you take reasonable care of your own health, and safety as well as others who may be affected by the work activities you undertake. You must report incidents immediately and actively raise health and safety-related concerns to your Line Manager. As part of our commitment to maintaining a safe and secure environment, we will process Disclosure and Barring Service (DBS) checks to the successful individual. Failure to disclose relevant information at application or throughout the process could affect your employment with the company. If you are currently a HelloFresh employee, please make sure you have discussed your application with your Line Manager.", "summaryDescription" : "Multi Skilled Engineer at HelloFresh. Skills: Automation, Controls systems, Maintenance engineering, PLCs. Monitor 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 Fellow role is available in the lab of Dr. Annabel Wang. The research in her laboratory focuses on the metabolic and cellular plasticity of adipose tissue in response to physiological, pathophysiological, and aging-related challenges. The lab’s long-term goals are to provide fundamental insights into 1) the metabolic significance of adipocyte and adipocyte progenitor cell plasticity and heterogeneity; 2) mechanisms by which adipocytes communicate with other cell types in response to metabolic cues; and 3) adipose tissue remodeling during aging and age-associated metabolic disorders. Ultimately, the lab’s aim is to mitigate pathogenesis and develop effective treatments for chronic metabolic diseases. The lab has developed unique and comprehensive mouse models enabling real-time labeling, lineage tracing, inducible knockout, and inducible overexpression. Her lab integrates molecular biology, biochemistry, and histological approaches with state-of-the-art technologies, including comprehensive mouse phenotyping, tissue clearing and 3D imaging, in vivo transplantation combined with 3D imaging of grafts, and single-cell and spatial multi-omics analyses. For more information on Dr. Wang, please visit here . Your qualifications should include: · PhD or M.D. City of Hope employees pay is based on the following criteria: work experience, qualifications, and work location. City of Hope is an equal opportunity employer. To learn more about our Comprehensive Benefits, please CLICK HERE . United States-California-Duarte", "summaryDescription" : "Postdoctoral Fellow at Beckman Research Institute", "createdAt" : "2026-06-14T20:47:32.190", "lastUpdated" : "2026-06-15T23:21:53.503", "ingestTimestamp" : "2026-06-14T20:47:32.190", "mongoId" : "69dde45b2beec4dd3d9a3eb9", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 60000, "salaryAnnualMax" : 75000, "salaryBand" : "50k-75k", "hasSalary" : true, "allSkills" : [ ], "skillCount" : 0, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Entry", "dataQualityScore" : 0.5555556, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Biotech", "llmIndustryConfidence" : 0.95 }, { "id" : "6a308a5df292fd229c0960c4", "title" : "Program manager -AI and Health and Human Services (HHS)", "company" : "Syncreon Consulting", "industry" : "Computer And Network Security", "salary" : { "min" : 135000.0, "max" : 185000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Senior Program Manager in AI and Health and Human Services in Austin, TX, adjusted for contract employment type and government industry." }, "location" : "Austin, TX, United States", "locations" : [ "Austin", "TX", "United States" ], "timestamp" : "2026-06-16T15:17:40.871", "fingerprint" : "e232baef4dc9b1107a56cbf4f062950e4daeafcca19be372de800cf10b5b73e2", "source" : "smartrecruiters", "language" : "en", "applyUrl" : "https://jobs.smartrecruiters.com/SyncreonConsulting/744000132222171-program-manager-ai-and-health-and-human-services-hhs-", "externalId" : "744000132222171", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Austin", "state" : "Texas", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "30.2711286,-97.7436995" } ], "locationText" : "Austin, Texas, United States", "employmentType" : "CONTRACT", "experienceMinYears" : 0, "experienceMaxYears" : 2, "experienceLevel" : "entry", "technicalSkills" : "AI, Analytics", "professionalSkills" : [ "Project management", "Data liaison", "Performance analysis", "Data governance", "Data literacy", "Reporting" ], "hardSkillsList" : [ "Data analysis", "Data integration", "Data extraction", "Data visualization" ], "hardSkills" : [ { "name" : "Data analysis", "level" : "intermediate" }, { "name" : "Data integration", "level" : "intermediate" }, { "name" : "Data extraction", "level" : "intermediate" }, { "name" : "Data visualization", "level" : "intermediate" } ], "majorSkills" : "Program management, Data analysis, AI, HHS", "majorSkillsList" : [ "Program management", "Data analysis", "AI", "HHS" ], "coreResponsibilities" : "Translate complex analytics project intakes, Translate business requirements, Explain complex data initiatives, Act as data liaison, Collaborate with end-users, Collaborate with performance analysts, Collaborate with agency leaders, Validate project reports, Validate program presentations, Lead hybrid Agile sprint cycles, Create epics, Create stories, Create Waterfall project plans, Create all project artifacts, Act as primary point of contact, Manage scrum of scrum ceremonies, Sync across Agile sprint teams, Apply Scaled Agile Framework principles, Ensure project teams extract data, Ensure project teams integrate data, Ensure project teams analyze data, Create visualizations, Validate visualizations, Lead performance management initiative, Lead analytics initiative, Champion data literacy, Develop training sessions, Conduct training sessions, Train staff, Mentor staff, Develop Advanced Planning Documents, Develop Business Case Workbooks, Apply responsible AI practices", "teamCollaboration" : "Cross-functional teams; 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Our members are people living with chronic or acute pain, often navigating a healthcare system that was not designed for them. The research questions here are not abstract: understanding who our members are, what they expect from care, and where the experience breaks down has direct consequences for whether someone gets better. This is a Senior UX Researcher role on a small, high-ownership team embedded within R&D. You will own research across one or more product pods, working directly with product managers, designers, and clinical partners to turn ambiguous questions into clear directions. The team is lean by design, which means your work will be visible and your judgment will carry real weight. WHAT YOU'LL ACCOMPLISH - Own end-to-end research across one or more product pods, from scoping the question through delivery and follow-through with partners - Produce insights that directly influence product decisions, roadmap priorities, and design direction at the pod level - Build credibility and influence with cross-functional partners, including product managers, designers, and Director-level stakeholders - Leverage AI tools and workflows to extend research capacity across a one-to-many model—prioritizing where your time and judgment are highest-value while using AI to handle research tasks that can be systematized or accelerated - Bring a clear point of view to product conversations, not just findings, and advocate for member needs in the decisions that follow - Contribute to the evolution of the research team's practices, tools, and ways of working BASIC QUALIFICATIONS - 4+ years of experience conducting user research, with demonstrated experience leading qualitative studies independently from planning through delivery - Experience presenting research findings and recommendations to cross-functional stakeholders, including senior leaders - Experience working as an embedded researcher within a product development team - Survey design: Experience designing unbiased surveys, including neutral question framing, validated scales, and appropriate response option construction - Qualitative research methods: Demonstrated ability to plan and conduct high-quality qualitative studies (moderated interviews, usability sessions, diary studies) with rigorous synthesis - Quantitative and statistical literacy: Familiarity with statistical methods used to evaluate research data (significance testing, confidence intervals, descriptive statistics) and the ability to integrate quantitative signals with qualitative findings PREFERRED QUALIFICATIONS - Experience in digital health, healthcare technology, or a clinical-adjacent product domain - Familiarity with mixed-method research approaches that combine qualitative and quantitative sources - Experience using remote research platforms such as Dscout or UserTesting - Prior contributions to research team practices, toolkits, or research operations - Experience working on a small or embedded research team with significant individual ownership About Hinge Health Hinge Health leverages software, including AI, to largely automate care for joint and muscle health, delivering an outstanding member experience, improved member outcomes, and cost reductions for its clients. The company has designed its platform to address a broad spectrum of MSK care from acute injury, to chronic pain, to post-surgical rehabilitation, and the platform can help to ease members' pain, improve their function, and reduce their need for surgeries, all while driving health equity by allowing members to engage in their exercise therapy sessions from anywhere. The company is headquartered in San Francisco, California. Learn more at http://www.hingehealth.com What you'll love about us - Inclusive healthcare and benefits: On top of comprehensive medical, dental, and vision coverage, we offer employees and their family members help with gender-affirming care, tools for family and fertility planning, and travel reimbursements if healthcare isn't available where you live. - Planning for the future: Start saving for the future with our traditional or Roth 401k retirement plan options which include a 2% company match. - Modern life stipends: Manage your own learning and development Culture and engagement Hinge Health is an equal opportunity employer and prohibits discrimination and harassment of any kind. We make employment decisions without regards to race, color, religion, sex, sexual orientation, gender identity, national origin, age, veteran status, disability status, pregnancy, or any other basis protected by federal, state or local law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. We provide reasonable accommodations for candidates with disabilities. If you feel you need assistance or an accommodation due to a disability, let us know by reaching out to your recruiter. By submitting your application you are acknowledging we are using your personal data as outlined in the personnel and candidate privacy policy. Beware of Phishing Attempts: We've noticed an increase in phishing where fraudsters impersonate employees and send fake job offers to steal sensitive information. We'll never ask for financial details during the hiring process and only use \"@hingehealth.com http://hingehealth.com\" emails. If you receive a suspicious offer, stop communication and report it to the US FBI Internet Crime Complaint Center. To verify an email from our recruiting team, forward it to security@hingehealth.com https://app.ashbyhq.com/admin/organizational-settings/theme#.", "summaryDescription" : "Senior UX Researcher at Hinge Health", "createdAt" : "2026-06-16T00:31:42.925", "lastUpdated" : "2026-06-16T11:39:09.172", "ingestTimestamp" : "2026-06-16T00:31:42.925", "mongoId" : "6a305033f292fd229ceed5c1", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 148000, "salaryAnnualMax" : 203500, "salaryBand" : "100k-150k", "hasSalary" : true, "allSkills" : [ ], "skillCount" : 0, "jobCategory" : "product", "jobSubcategory" : "design", "seniorityLevel" : "Senior", "dataQualityScore" : 0.7777778, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Healthcare", "llmIndustryConfidence" : 0.98 }, { "id" : "69dde4492beec4dd3d9a326d", "title" : "Intern Support Technician for Human Resources", "company" : "TxDOT", "industry" : "Government", "salary" : { "min" : 35000.0, "max" : 45000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for an entry-level Intern Support Technician in Fort Worth, TX, adjusted for government industry and internship employment type." }, "location" : "UST-Texas-Fort Worth-Ft Worth District Headquarters", "locations" : [ "UST-Texas-Fort Worth-Ft Worth District Headquarters", "Hourly", "Nonexempt,
Ft Worth District Headquarters (02DISTHQ)
2501 SOUTHWEST LOOP 820
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This position will allow you to develop and continue building a diverse skill set in Human Resources that is unmatched. While this position will primarily support the Northwest Branch, you will have hands-on opportunities of involvement in all areas of Human Resources. If you're passionate about working with people and being involved in a wide range of tasks and project assignments, this is the job for you! Join TxDOT and build a career as BIG as TEXAS! TxDOT interns must be enrolled in high school or any institution of higher education, to include a trade/vocational school, whether attending in person or online. *Depending on your availability to work, this opportunity is either part-time or full-time. Work Location: 2501 SOUTHWEST LOOP 820, Fort Worth, 76133 18.00 18.00", "summaryDescription" : "Intern Support Technician for Human Resources at TxDOT. Skills: Human Resources", "createdAt" : "2026-06-14T04:48:48.964", "lastUpdated" : "2026-06-15T11:59:02.739", "ingestTimestamp" : "2026-06-14T04:48:48.964", "mongoId" : "69dde4492beec4dd3d9a326d", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 35000, "salaryAnnualMax" : 45000, "salaryBand" : "30k-50k", "hasSalary" : true, "allSkills" : [ "Human Resources" ], "skillCount" : 1, "jobCategory" : "operations", "jobSubcategory" : "hr", "seniorityLevel" : "Entry", "dataQualityScore" : 0.8888889, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Government", "llmIndustryConfidence" : 0.95 }, { "id" : "69dde45b2beec4dd3d9a3f0e", "title" : "Postdoctoral Fellow - Cancer Research", "company" : "City of Hope", "salary" : { "min" : 60000.0, "max" : 85000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for Postdoctoral Fellow in Duarte, CA, adjusted for entry-level seniority in the Biotech industry." }, "location" : "United States-California-Duarte", "locations" : [ "United States-California-Duarte", "Clinical Research", "Onsite, Days, Days" ], "timestamp" : "2026-06-16T04:00:35.089", "fingerprint" : "31db5f3ea22f2cbf9a346dd8b6d0a9473c97d71f460031a072fa010c848ca10e", "source" : "taleo", "language" : "en", "applyUrl" : "https://aa067.taleo.net/careersection/ex/jobdetail.ftl?job=225164", "externalId" : "225164", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Duarte", "state" : "California", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "34.1394513,-117.9772873" } ], "locationText" : "Duarte, California, United States", "minimumEducation" : "PhD", "remoteFriendly" : false, "rawDescription" : "Join the forefront of groundbreaking research at City of Hope where we're changing lives and making a real difference in the fight against cancer, diabetes, and other life-threatening illnesses. Our dedicated and compassionate faculty and staff are driven by a common mission: Contribute to innovative approaches in predicting, preventing, and curing diseases, shaping the future of medicine through cutting-edge research. The Dr. M. James You laboratory in the Department of Pathology at City of Hope is looking for a talented Postdoctoral Fellow to conduct basic and translational research on hematologic malignancies, including leukemias, lymphomas, and myeloid neoplasms. The fellow will lead and support projects focused on the genetic, epigenetic, and molecular mechanisms driving disease initiation and progression, using a combination of mouse models, patient-derived samples, and high-throughput technologies, including next-generation sequencing, flow cytometry, and immunohistochemistry. This position offers a unique opportunity to work at the interface of research and clinical pathology, contribute to high-impact publications, and gain mentorship in translational cancer biology and academic career development. For more information about Dr. You’s lab, please visit here. As a successful candidate, you will: Lead independent and collaborative projects investigating the molecular and cellular basis of hematologic malignancies. Work with mouse models, human tumor samples, and high-throughput technologies (e.g., next-generation sequencing, flow cytometry, and immunohistochemistry). Analyze genomic, transcriptomic, and phenotypic data to identify mechanisms of cancer progression and therapeutic resistance. Collaborate with a multidisciplinary team of scientists, pathologists, and clinicians. Contribute to the preparation of high-impact publications, grant proposals, and scientific presentations. Receive mentorship in experimental design, translational research, and career development. Your qualifications should include: A PhD, MD or MD/PhD in molecular biology, cancer genetics, cancer biology, pathology, immunology, or a related biomedical field. Familiarity with flow cytometry, RNA/DNA analysis, immunohistochemistry, or genomic technologies. Demonstrated productivity through peer-reviewed publications. Preferred qualifications: Strong research background in genetic engineered mouse modeling, molecular and cellular biology; experience with hematologic malignancies or cancer genomics is preferred. City of Hope employees pay is based on the following criteria: work experience, qualifications, and work location. City of Hope is an equal opportunity employer. To learn more about our Comprehensive Benefits, please CLICK HERE . #PD United States-California-Duarte", "summaryDescription" : "Postdoctoral Fellow - Cancer Research at City of Hope", "createdAt" : "2026-06-14T18:52:05.586", "lastUpdated" : "2026-06-16T04:00:35.089", "ingestTimestamp" : "2026-06-14T18:52:05.586", "mongoId" : "69dde45b2beec4dd3d9a3f0e", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 60000, "salaryAnnualMax" : 85000, "salaryBand" : "50k-75k", "hasSalary" : true, "allSkills" : [ ], "skillCount" : 0, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Entry", "dataQualityScore" : 0.5555556, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Biotech", "llmIndustryConfidence" : 0.95 }, { "id" : "6a2c63ad74d8ee00a08f967c", "title" : "Quantum Device and Circuit Postdoctoral Researcher", "company" : "LLNL", "industry" : "Research", "salary" : { "min" : 75000.0, "max" : 105000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Postdoctoral Researcher in Technology in Livermore, United States, adjusted for entry-level seniority." }, "location" : "Livermore, CA, United States", "locations" : [ "Livermore", "CA", "United States" ], "timestamp" : "2026-06-15T07:02:47.478", "fingerprint" : "81852fcb1a744dff8ccbb58015790785dcc8368dbb8aac3a248d47d644142db3", "source" : "smartrecruiters", "language" : "en", "applyUrl" : "https://jobs.smartrecruiters.com/LLNL/3743990013570582-quantum-device-and-circuit-postdoctoral-researcher", "externalId" : "3743990013570582", "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" : 0, "experienceMaxYears" : 2, "experienceLevel" : "entry", "technicalSkills" : "Python, Superconducting circuits, Microwave spectroscopy, RF cavities, Topological materials, Quantum computing, Quantum sensing, Parametric amplifiers, Josephson amplifiers, Traveling wave amplifiers, Circulators", "professionalSkills" : [ "Data acquisition", "Data processing", "Performance characterization", "Device design", "Materials integration", "Experimental design", "Research support" ], "hardSkillsList" : [ "Transport experiments", "Microwave spectroscopy", "Superconducting thin films", "Device characterization", "Circuit design", "Data analysis", "Progress reports" ], "hardSkills" : [ { "name" : "Transport experiments", "level" : "intermediate" }, { "name" : "Microwave spectroscopy", "level" : "intermediate" }, { "name" : "Superconducting thin films", "level" : "intermediate" }, { "name" : "Device characterization", "level" : "intermediate" }, { "name" : "Circuit design", "level" : "intermediate" }, { "name" : "Data analysis", "level" : "intermediate" }, { "name" : "Progress reports", "level" : "intermediate" } ], "majorSkills" : "Quantum devices, Superconducting circuits, Microwave engineering, Data acquisition", "majorSkillsList" : [ "Quantum devices", "Superconducting circuits", "Microwave engineering", "Data acquisition" ], "coreResponsibilities" : "Design transport experiments, Conduct transport experiments, Design microwave spectroscopy experiments, Conduct microwave spectroscopy experiments, Characterize microwave devices, Characterize superconducting circuits, Characterize superconducting thin films, Characterize devices, Design superconducting quantum devices, Evaluate superconducting quantum devices, Design superconducting circuits, Evaluate superconducting circuits, Develop data acquisition tools, Integrate multiple instruments, Analyze experimental data, Determine device performance, Collaborate with multidisciplinary team, Integrate experimental findings, Develop written analyses, Present written analyses, Develop verbal briefings, Present verbal briefings, Prepare progress reports, Publish research results, Present results at conferences, Present results at seminars, Present results at technical meetings, Perform other duties", "teamCollaboration" : "Interdisciplinary team; 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S. citizenship, On-site presence required", "outcomesObjectives" : "Develop quantum devices; Develop quantum amplifiers; Develop superconducting RF cavities; Characterize performance; Publish research results; Present research results", "qualificationsBasic" : "U. S. DOE Q-level security clearance, PhD in physics or electrical engineering, Background in superconducting materials, Experience in coding with python, Experience in microwave engineering, Experience in cryogenic device design, Advanced analytical skills, Advanced organizational skills, Advanced written communication skills, Advanced verbal communication skills, Advanced interpersonal skills", "qualificationsPreferred" : "Experience developing python software, Familiar with network analyzers, Familiar with signal generators, Experience designing dilution refrigerators", "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 Postdoctoral Researcher to participate in research developing quantum devices utilizing superconducting and quantum materials for applications in quantum computing and quantum sensing. The research will also include a cross-division appointment with the Nuclear & Chemical Sciences (NACS) Division for studying the implementation of such detectors for use in axion dark matter detection experiments. You will be an integral member of an interdisciplinary team responsible for conducting and supporting research to develop and characterize the performance of quantum amplifiers utilizing topological materials. You will also conduct research contributing to the design and testing of superconducting RF cavities. The position is in the Nanoscale, Surface, and Interface Science Group within the Materials for Emerging Applications and Extreme Conditions section of the Materials Science Division in the Physical and Life Sciences Directorate. This position requires full-time on-site presence due to the nature of the work. You will * Design and conduct transport and microwave spectroscopy experiments characterizing the performance of microwave devices including amplifiers and superconducting circuits in cryogenic systems. * Characterize superconducting thin films and devices to support the development of quantum devices and microwave circuits. * Design and evaluate superconducting quantum devices and circuits, including device layouts, materials integration, and performance characterization. * Develop data acquisition tools to integrate multiple instruments for measurements. * Analyze experimental data to determine the performance of microwave devices, such as Josephson parametric amplifiers, traveling wave parametric amplifiers, and circulators. * Collaborate with a multidisciplinary team across LLNL and external partners, integrating experimental findings as appropriate. * Develop and present written analyses and verbal briefings that capture and communicate research results as well as periodic progress reports. * Publish research results in peer-reviewed scientific or technical journals and present results at external conferences, seminars and/or technical meetings. * Perform other duties as assigned. ## Qualifications * Ability to secure and maintain a U.S. DOE Q-level security clearance, which requires U.S. citizenship. * PhD in physics, electrical engineering, or a related field. * Strong background in superconducting materials and device applications. * Experience in coding with python for data acquisition/processing. * Experience in microwave engineering and cryogenic device design. * Advanced analytical and organizational skills. * Advanced written and verbal communication skills necessary to deliver presentations and prepare written reports, explain technical information, and provide advice to management. * Advanced interpersonal skills necessary to interact with a diverse set of scientists, engineers, and other technical and administrative staff within a collaborative research environment. Qualifications We Desire * Experience developing python-based data acquisition and analysis software. * Familiar with instruments used in microwave device measurement, such as network analyzers and signal generators. * Experience with designing experiments for operation in dilution refrigerators. Pay Range $123,048 Annually 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 Postdoctoral appointment with the possibility of extension to a maximum of three years, open to those who have been awarded a PhD at time of hire date. 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 a Department of Energy (DOE) Q-level clearance. If you are selected, we will initiate a Federal background investigation to determine if you meet eligibility requirements for access to classified information or matter. Also, all L or Q cleared employees are subject to random drug testing. Q-level clearance requires U.S. citizenship. 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" : "Quantum Device and Circuit Postdoctoral Researcher at LLNL. Skills: Quantum devices, Superconducting circuits, Microwave engineering, Data acquisition. Design transport experiments. Conduct transport experiments", "postedDate" : "2026-06-10T22:20:11.000", "createdAt" : "2026-06-14T08:24:21.573", "lastUpdated" : "2026-06-15T07:02:47.478", "ingestTimestamp" : "2026-06-14T08:24:21.573", "mongoId" : "6a2c63ad74d8ee00a08f967c", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 75000, "salaryAnnualMax" : 105000, "salaryBand" : "75k-100k", "hasSalary" : true, "allSkills" : [ "Transport experiments", "Microwave spectroscopy", "Superconducting thin films", "Device characterization", "Circuit design", "Data analysis", "Progress reports", "Quantum devices", "Superconducting circuits", "Microwave engineering", "Data acquisition", "Data processing", "Performance characterization", "Device design", "Materials integration", "Experimental design", "Research support", "Quantum computing", "Quantum sensing", "Axion dark matter", "Superconducting materials", "Microwave devices", "Cryogenic systems", "Topological materials", "Superconducting RF cavities", "Network analyzers", "Signal generators" ], "skillCount" : 27, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Entry", "dataQualityScore" : 1.0, "daysOld" : 4, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.98 }, { "id" : "6a166a1058b93c861ea869e3", "title" : "Postdoctoral Researcher - Contraceptive Drug Discovery", "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" ], "timestamp" : "2026-05-27T06:57:34.592", "fingerprint" : "32b9f5336c5e612b825078ca630413e2937ef945e972174c5c0d4711b7cf3580", "source" : "smartrecruiters", "language" : "en", "applyUrl" : "https://jobs.smartrecruiters.com/UniversityHealthNetwork/744000128596199-postdoctoral-researcher-contraceptive-drug-discovery", "externalId" : "744000128596199", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Toronto", "state" : "Ontario", "country" : "Canada", "continent" : "na", "source" : "llm", "workMode" : "onsite" } ], "locationText" : "Toronto, Ontario, Canada", "employmentType" : "FULL_TIME", "minimumEducation" : "PhD", "experienceLevel" : "not-applicable", "technicalSkills" : "Protein biochemistry, Biophysics, Structural biology, X-ray crystallography, Cryo-EM, Machine learning, Drug discovery", "professionalSkills" : [ "Translational science", "Early-stage drug discovery" ], "hardSkillsList" : [ "Protein expression", "Protein purification", "Biochemical assay development", "Biophysical assay development", "Structural determination" ], "hardSkills" : [ { "name" : "Protein expression", "level" : "intermediate" }, { "name" : "Protein purification", "level" : "intermediate" }, { "name" : "Biochemical assay development", "level" : "intermediate" }, { "name" : "Biophysical assay development", "level" : "intermediate" }, { "name" : "Structural determination", "level" : "intermediate" } ], "majorSkills" : "Drug discovery, Structural biology, Protein biochemistry", "majorSkillsList" : [ "Drug discovery", "Structural biology", "Protein biochemistry" ], "coreResponsibilities" : "Design, execute, and troubleshoot experiments, Maintain accurate experimental records, Analyze and interpret experimental data, Communicate results clearly, Contribute to manuscript preparation", "teamCollaboration" : "Work closely with experienced medicinal chemists, machine learning scientists, automation and software engineers, biochemists, and cell biologists; Collaborative research program; Interdisciplinary training; High-impact collaboration at the biology–chemistry interface", "domainKnowledge" : "Contraception; Male fertility; Non-hormonal contraception; Sperm-specific expression", "domainList" : [ "contraception", "male-fertility", "non-hormonal-contraception", "sperm-specific-expression" ], "domainSpecificKnowledge" : [ "Contraception", "Male fertility", "Non-hormonal contraception", "Sperm-specific expression" ], "toolProficiency" : [ "Electronic laboratory notebooks" ], "communicationSkills" : "Excellent written and verbal communication skills", "documentationSkills" : "Maintain accurate, timely experimental records using electronic laboratory notebooks", "continuousLearning" : "Opportunities for development and promotions within a large organization; Training is provided through academic supervision; day-to-day integration within UHN’s research teams; participation in collaborative projects", "innovationCreativity" : "Unlock a new frontier in contraception; Discovering, validating, and chemically modulating previously under-explored protein targets; Drive hit validation, structure–activity relationship (SAR) development, and early compound optimization", "problemSolvingSkills" : "Critically interpret experimental data, integrating structural and functional results to guide next steps", "specialRequirements" : "Criminal Record Check may be required", "outcomesObjectives" : "Advance their target(s) through the drug discovery pipeline from hit to chemical probe; Unravelling the protein’s function and relevance as a contraceptive drug target; Uncover high-quality starting chemical matter; Contribute meaningfully to an area of profound medical and societal importance", "qualificationsBasic" : "PhD within the previous 5 years, or an MD or DDS within the previous 10 years, Protein expression and purification, Biochemical and/or biophysical assay development, Structural biology (X-ray crystallography and/or cryo-EM), Demonstrated ability to design, execute, and interpret experiments independently, Excellent written and verbal communication skills, Track record of high-quality, peer-reviewed publications", "qualificationsPreferred" : "Experience integrating structural and functional data to inform hypothesis-driven design, Interest in translational science and early-stage drug discovery", "remoteFriendly" : false, "workSiteFlexibility" : "No", "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: Senior Scientist Salary Range: $54,902 - $93,333 Per Year Hours: 37.5 Hours Per Week Shifts: Monday - Friday Status: Temporary Full-time Closing Date: June 9, 2026 Position Summary : Program: Mitacs Accelerate Umbrella – Target 2035 Fellows This project aims to unlock a new frontier in contraception by discovering, validating, and chemically modulating previously under-explored protein targets with the potential to drive truly next-generation contraceptive strategies. Postdoctoral Researchers will be assigned a novel human protein target(s) and will advance their target(s) through the drug discovery pipeline from hit to chemical probe, with the aim of unravelling the protein’s function and relevance as a contraceptive drug target. The target(s) will be chosen from a portfolio of proteins with sperm-specific expression with links to male fertility that are putative drug targets for non-hormonal contraception approaches. The Postdoctoral Researchers will be embedded in an early-stage drug discovery team, gaining hands-on experience from target to starting points for therapeutic development. This will include protein expression and purification, biochemical and biophysical characterization, and high-resolution structure determination (including X-ray crystallography and/or cryo-EM) to reveal target structure, mechanism, and function. They will also play a central role in assessing target ligandability and contributing to develop screening strategies, including high-throughput approaches to uncover high-quality starting chemical matter, including [E-ASMS](https://www.nature.com/articles/s41467-025-67403-2) and [DEL-ML](https://doi.org/10.1021/acs.jmedchem.5c01972). In this unique training opportunity, the Target 2035 Fellow will be embedded in a highly collaborative, international research program and supported by a multidisciplinary project team. The Postdoctoral Researchers will work closely with experienced medicinal chemists, machine learning scientists, automation and software engineers, biochemists, and cell biologists, contributing to cutting-edge, data-driven drug discovery efforts alongside academic, industry, and technology partners. In close partnership with medicinal chemists, the Postdoctoral Researchers will drive hit validation, structure–activity relationship (SAR) development, and early compound optimization, leveraging integrated structural and functional insights to inform compound design toward a chemical probe. This position offers exceptional interdisciplinary training, high-impact collaboration at the biology–chemistry interface, and the opportunity to contribute meaningfully to an area of profound medical and societal importance. The positions offer a highly collaborative environment, access to state-of-the-art infrastructure, and the opportunity to contribute to research addressing a major unmet medical and societal need. This position is part of the Target 2035 Fellows program, supported through a Mitacs Accelerate Umbrella program. The engagement is offered as a temporary full-time postdoctoral appointment for an initial one-year term, with the possibility of renewal for up to two additional years, subject to performance, funding availability, and program requirements. The Postdoctoral Researcher will be embedded within University Health Network’s research environment and will contribute to collaborative research aligned with Target 2035, a global open science public-private partnership focused on accelerating early drug discovery through the generation of high-quality chemical tools and protein–ligand interaction data for artificial intelligence and machine learning. Training is provided through academic supervision, day-to-day integration within UHN’s research teams, and participation in collaborative projects involving a global team of academic, technology, and industry partners. Duties: * Design, execute, and troubleshoot well-controlled experiments across protein biochemistry, biophysics, and structural biology * Maintain accurate, timely experimental records using electronic laboratory notebooks, ensuring data and metadata are organized, reproducible, and publication-ready * Analyze and critically interpret experimental data, integrating structural and functional results to guide next steps * Communicate results clearly in project meetings and with interdisciplinary collaborators, including medicinal chemists, to support SAR and compound design * Contribute to manuscript preparation, data reporting, and a rigorous, collaborative research environment in line with best research practices ## Qualifications * Awarded a PhD within the previous 5 years, or an MD or DDS within the previous 10 years, in biochemistry, chemical biology, structural biology, pharmacology, or a related discipline * Strong experimental background in one or more of the following: 1. Protein expression and purification 2. Biochemical and/or biophysical assay development 3. Structural biology (X-ray crystallography and/or cryo-EM) * Demonstrated ability to design, execute, and interpret experiments independently * Excellent written and verbal communication skills * Track record of high-quality, peer-reviewed publications * Enthusiasm for interdisciplinary research and collaborative science * Experience integrating structural and functional data to inform hypothesis-driven design, preferred * Interest in translational science and early-stage drug discovery, 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 - Contraceptive Drug Discovery at University Health Network. Skills: Drug discovery, Structural biology, Protein biochemistry. Design, execute, and troubleshoot experiments. Maintain accurate experimental records", "postedDate" : "2026-05-26T22:12:13.000", "createdAt" : "2026-05-27T06:57:21.852", "lastUpdated" : "2026-05-27T06:57:34.592", "ingestTimestamp" : "2026-05-27T06:57:21.852", "mongoId" : "6a166a1058b93c861ea869e3", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 54902, "salaryAnnualMax" : 93333, "salaryBand" : "50k-75k", "hasSalary" : true, "allSkills" : [ "Protein expression", "Protein purification", "Biochemical assay development", "Biophysical assay development", "Structural determination", "Drug discovery", "Structural biology", "Protein biochemistry", "Translational science", "Early-stage drug discovery", "Contraception", "Male fertility", "Non-hormonal contraception", "Sperm-specific expression", "Electronic laboratory notebooks" ], "skillCount" : 15, "jobCategory" : "research", "jobSubcategory" : "Research", "dataQualityScore" : 1.0, "daysOld" : 0, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "Biomedical Research" }, { "id" : "6a16339358b93c861e98616e", "title" : "Postdoctoral Researcher - Contraceptive Drug Discovery", "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" ], "timestamp" : "2026-05-27T03:01:52.291", "fingerprint" : "1405c5f3fbf5e250422239bceb441bf3deec9940cdd158644d887d769f53019b", "source" : "smartrecruiters", "language" : "en", "applyUrl" : "https://jobs.smartrecruiters.com/UniversityHealthNetwork/744000128596199-postdoctoral-researcher-contraceptive-drug-discovery", "externalId" : "744000128596199", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Toronto", "state" : "Ontario", "country" : "Canada", "continent" : "na", "source" : "llm", "workMode" : "onsite" } ], "locationText" : "Toronto, Ontario, Canada", "employmentType" : "FULL_TIME", "minimumEducation" : "PhD", "experienceLevel" : "not-applicable", "technicalSkills" : "Protein expression, Protein purification, Biochemical assays, Biophysical assays, Structural biology, X-ray crystallography, Cryo-EM, Machine learning, E-ASMS, DEL-ML", "professionalSkills" : [ "Drug discovery pipeline", "Target validation", "Structure-activity relationship", "Compound optimization", "Translational science" ], "hardSkillsList" : [ "Protein expression", "Protein purification", "Biochemical assays", "Biophysical assays", "Structural biology", "X-ray crystallography", "Cryo-EM" ], "hardSkills" : [ { "name" : "Protein expression", "level" : "intermediate" }, { "name" : "Protein purification", "level" : "intermediate" }, { "name" : "Biochemical assays", "level" : "intermediate" }, { "name" : "Biophysical assays", "level" : "intermediate" }, { "name" : "Structural biology", "level" : "intermediate" }, { "name" : "X-ray crystallography", "level" : "intermediate" }, { "name" : "Cryo-EM", "level" : "intermediate" } ], "majorSkills" : "Structural biology, Protein biochemistry, Drug discovery", "majorSkillsList" : [ "Structural biology", "Protein biochemistry", "Drug discovery" ], "coreResponsibilities" : "Design experiments, Execute experiments, Troubleshoot experiments, Maintain experimental records, Analyze experimental data, Interpret experimental data, Communicate results, Contribute to manuscript preparation", "teamCollaboration" : "Work closely with medicinal chemists; Collaborate with machine learning scientists; Collaborate with automation and software engineers; Collaborate with biochemists; Collaborate with cell biologists; Work with interdisciplinary collaborators", "domainKnowledge" : "Contraception; Male fertility; Non-hormonal contraception; Sperm-specific expression", "domainList" : [ "contraception", "male-fertility", "non-hormonal-contraception", "sperm-specific-expression" ], "domainSpecificKnowledge" : [ "Contraception", "Male fertility", "Non-hormonal contraception", "Sperm-specific expression" ], "communicationSkills" : "Excellent written communication skills; Excellent verbal communication skills; Communicate results clearly", "documentationSkills" : "Maintain accurate, timely experimental records; Electronic laboratory notebooks", "continuousLearning" : "Interdisciplinary training; Opportunities for development and promotions", "innovationCreativity" : "Unlock a new frontier in contraception; Discover next-generation contraceptive strategies", "problemSolvingSkills" : "Critically interpret experimental data; Integrate structural and functional results", "specialRequirements" : "Criminal Record Check may be required", "outcomesObjectives" : "Discover, validate, and chemically modulate protein targets; Advance targets through drug discovery pipeline; Unravel protein function and relevance; Generate high-quality chemical tools; Generate protein-ligand interaction data", "qualificationsBasic" : "PhD within the previous 5 years, or an MD or DDS within the previous 10 years, Protein expression and purification, Biochemical and/or biophysical assay development, Structural biology (X-ray crystallography and/or cryo-EM), Demonstrated ability to design, execute, and interpret experiments independently, Excellent written and verbal communication skills, Track record of high-quality, peer-reviewed publications", "qualificationsPreferred" : "Experience integrating structural and functional data to inform hypothesis-driven design, Interest in translational science and early-stage drug discovery", "remoteFriendly" : true, "workSiteFlexibility" : "No", "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: Senior Scientist Salary Range: $54,902 - $93,333 Per Year Hours: 37.5 Hours Per Week Shifts: Monday - Friday Status: Temporary Full-time Closing Date: June 9, 2026 Position Summary : Program: Mitacs Accelerate Umbrella – Target 2035 Fellows This project aims to unlock a new frontier in contraception by discovering, validating, and chemically modulating previously under-explored protein targets with the potential to drive truly next-generation contraceptive strategies. Postdoctoral Researchers will be assigned a novel human protein target(s) and will advance their target(s) through the drug discovery pipeline from hit to chemical probe, with the aim of unravelling the protein’s function and relevance as a contraceptive drug target. The target(s) will be chosen from a portfolio of proteins with sperm-specific expression with links to male fertility that are putative drug targets for non-hormonal contraception approaches. The Postdoctoral Researchers will be embedded in an early-stage drug discovery team, gaining hands-on experience from target to starting points for therapeutic development. This will include protein expression and purification, biochemical and biophysical characterization, and high-resolution structure determination (including X-ray crystallography and/or cryo-EM) to reveal target structure, mechanism, and function. They will also play a central role in assessing target ligandability and contributing to develop screening strategies, including high-throughput approaches to uncover high-quality starting chemical matter, including [E-ASMS](https://www.nature.com/articles/s41467-025-67403-2) and [DEL-ML](https://doi.org/10.1021/acs.jmedchem.5c01972). In this unique training opportunity, the Target 2035 Fellow will be embedded in a highly collaborative, international research program and supported by a multidisciplinary project team. The Postdoctoral Researchers will work closely with experienced medicinal chemists, machine learning scientists, automation and software engineers, biochemists, and cell biologists, contributing to cutting-edge, data-driven drug discovery efforts alongside academic, industry, and technology partners. In close partnership with medicinal chemists, the Postdoctoral Researchers will drive hit validation, structure–activity relationship (SAR) development, and early compound optimization, leveraging integrated structural and functional insights to inform compound design toward a chemical probe. This position offers exceptional interdisciplinary training, high-impact collaboration at the biology–chemistry interface, and the opportunity to contribute meaningfully to an area of profound medical and societal importance. The positions offer a highly collaborative environment, access to state-of-the-art infrastructure, and the opportunity to contribute to research addressing a major unmet medical and societal need. This position is part of the Target 2035 Fellows program, supported through a Mitacs Accelerate Umbrella program. The engagement is offered as a temporary full-time postdoctoral appointment for an initial one-year term, with the possibility of renewal for up to two additional years, subject to performance, funding availability, and program requirements. The Postdoctoral Researcher will be embedded within University Health Network’s research environment and will contribute to collaborative research aligned with Target 2035, a global open science public-private partnership focused on accelerating early drug discovery through the generation of high-quality chemical tools and protein–ligand interaction data for artificial intelligence and machine learning. Training is provided through academic supervision, day-to-day integration within UHN’s research teams, and participation in collaborative projects involving a global team of academic, technology, and industry partners. Duties: * Design, execute, and troubleshoot well-controlled experiments across protein biochemistry, biophysics, and structural biology * Maintain accurate, timely experimental records using electronic laboratory notebooks, ensuring data and metadata are organized, reproducible, and publication-ready * Analyze and critically interpret experimental data, integrating structural and functional results to guide next steps * Communicate results clearly in project meetings and with interdisciplinary collaborators, including medicinal chemists, to support SAR and compound design * Contribute to manuscript preparation, data reporting, and a rigorous, collaborative research environment in line with best research practices ## Qualifications * Awarded a PhD within the previous 5 years, or an MD or DDS within the previous 10 years, in biochemistry, chemical biology, structural biology, pharmacology, or a related discipline * Strong experimental background in one or more of the following: 1. Protein expression and purification 2. Biochemical and/or biophysical assay development 3. Structural biology (X-ray crystallography and/or cryo-EM) * Demonstrated ability to design, execute, and interpret experiments independently * Excellent written and verbal communication skills * Track record of high-quality, peer-reviewed publications * Enthusiasm for interdisciplinary research and collaborative science * Experience integrating structural and functional data to inform hypothesis-driven design, preferred * Interest in translational science and early-stage drug discovery, 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 - Contraceptive Drug Discovery at University Health Network. Skills: Structural biology, Protein biochemistry, Drug discovery. Design experiments. 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(Nasdaq ARWR) is a commercial stage biopharmaceutical company that develops medicines that treat intractable diseases by silencing the genes that cause them. Using a broad portfolio of RNA chemistries and efficient modes of delivery, Arrowhead therapies trigger the RNA interference mechanism to induce rapid, deep, and durable knockdown of target genes. RNA interference, or RNAi, is a mechanism present in living cells that inhibits the expression of a specific gene, thereby affecting the production of a specific protein. Arrowhead’s RNAi-based therapeutics leverage this natural pathway of gene silencing. Arrowhead is focused on developing innovative drugs for diseases with a genetic basis, typically characterized by the overproduction of one or more proteins that are involved with disease. The depth and versatility of our RNAi technologies enables us to potentially address conditions in virtually any therapeutic area and pursue disease targets that are not otherwise addressable by small molecules and biologics. Arrowhead is leading the field in bringing the promise of RNAi to address diseases outside of the liver, and our clinical pipeline includes disease targets in the liver and lung with a promising pipeline of preclinical candidates. Arrowhead’s corporate headquarters is in Pasadena, CA with research and development teams in Madison, WI & San Diego, CA, and a state of the art manufacturing facility in Verona, WI. Our employees are nimble, science-driven innovators who are collaborating to bring new therapies to patients in need. The Position Arrowhead Pharmaceuticals is seeking an Associate Scientist to join the discovery DMPK group in Chemistry Department. The successful candidate will primarily focus on analysis of biological samples using state of the art LC-MS (High resolution mass spectrometry is a plus) and qPCR assays, in support of discovery programs. Responsibilities Perform LC-HRMS or stem-loop qPCR based quantitative bioanalysis in a variety of biological matrices (fluids and tissues) in support of pharmacokinetics and tissue clearance studies. Understand and follow sample preparation protocols applicable to assigned tasks. Document experimental procedure and results accurately and meticulously. Execute all assays in a timely manner to meet deadlines. Requirements Bachelor of Science in Chemistry, Biology. Biochemistry, or related field 3+ years of lab experience Hands-on experience of LC-MS or multiple detection techniques. Hands-on experience of sample handling from biological matrices Demonstrated innovation, creativity and resilience in problem solving Excellent oral and written communication skills Self-motivated team player with the ability to thrive in a fast paced, multi-disciplinary, matrixed environment Preferred Demonstrated practical understanding of liquid chromatography and mass spectrometry Experience with high-throughput sample analysis applying bioanalysis assays. Experience working on oligonucleotides Self-motivated team player with the ability to thrive in a fast paced, dynamic, multi-disciplinary, matrixed environment Wisconsin pay range $70,000—$80,000 USD Arrowhead provides competitive salaries and an excellent benefit package. Candidates must have current, valid authorization to work in the country where this role is located. California Applicant Privacy Policy", "summaryDescription" : "Associate Scientist II, Discovery DMPK at Arrowhead Pharmaceuticals. 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Technical audiences; Non-technical audiences", "projectManagementSkills" : [ "Roadmap ownership" ], "domainKnowledge" : "Legal domain; Contract intelligence; Legal fact extraction; Contract databases; Legal documents; Contract comparison; Contract redlining; Automated drafting; Automated editing; Fabricated citation; Groundedness; Legal-specific tasks; Legal text", "domainList" : [ "legal-domain", "contract-intelligence", "legal-fact-extraction", "contract-databases", "legal-documents", "contract-comparison", "contract-redlining", "automated-drafting", "automated-editing", "fabricated-citation", "groundedness", "legal-specific-tasks", "legal-text" ], "domainSpecificKnowledge" : [ "Legal domain", "Contract intelligence", "Legal fact extraction", "Contract databases", "Legal documents", "Contract comparison", "Contract redlining", "Automated drafting", "Automated editing", "Fabricated citation", "Groundedness", "Legal-specific tasks", "Legal text" ], "toolProficiency" : [ "MS Word" ], "communicationSkills" : "Articulate complex research findings", "innovationCreativity" : "Push state of the art; Inventors", "problemSolvingSkills" : "Problem identification; Root cause analysis", "outcomesObjectives" : "Redefine how legal professionals work; See research change industry; Ship winners into production", "qualificationsBasic" : "Ph. D. in Computer Science or equivalent, Deep, hands-on experience in deep learning, Working knowledge of modern frameworks, Expertise in agentic systems, Expertise in reasoning, Expertise in PEFT methods, Expertise in quantization, Expertise in inference optimization, Expertise in hallucination mitigation, Expertise in novel architectures, Expertise in robust evaluation methodology, Excellent communication skills, Bias toward action", "qualificationsPreferred" : "Publications at top ML/AI conferences, Publications in quantitative journals, Experience with retrieval, Experience with grounded generation, Prior work on hallucination detection, Prior work on calibration, Prior work on interpretability, Track record of building from zero", "remoteFriendly" : false, "workSiteFlexibility" : "Hybrid", "rawDescription" : "WHY IVO? Every civilization runs on the same infrastructure: agreements between people who don't fully trust each other. Sumerians pressed them into clay. Romans carved them into stone. We bury them in 80-page PDFs. The way those agreements are reviewed hasn't changed in four thousand years - a human reads the whole thing and tries not to miss anything. We're building the AI that finally changes that. Ivo is the contract intelligence platform of choice for companies like Uber, Meta, Canva, IBM, and Shopify. We recently raised our Series B and have grown 800% over the last 12 months. ENGINEERING AT IVO ENGINEERS AT IVO ARE INVENTORS. IVO WAS FIRST-TO-MARKET WITH: - An AI agent that lives in MS Word and edits the document for you [2023] - Ditching imprecise embeddings models in favor of agentic RAG [2023] - Large-scale LLM-based legal fact extraction [2024] - A legal assistant that can search large contract databases without sacrificing accuracy [2024] - Clustering legal documents descended from the same family [2025] - Automatic deviation analysis to locate buried risk in huge contract databases [2025] - Merging contracts with their amendments to produce a time series of \"composite\" contracts (a customer actually cried when we showed her this) [2025] THE ROLE: WHY, WHAT, AND WHO WHY AI Researchers are the engine of innovation at Ivo. You'll push the state of the art in applying LLMs, deep learning, and advanced AI techniques to the unique and high-stakes challenges of the legal domain — where accuracy, explainability, and robustness aren't nice-to-haves, they're the product. Your research will translate directly into features that redefine how legal professionals work. This isn't an academic role. It's a chance to see your research fundamentally change an industry. WHAT YOU'LL DO You'll own a research roadmap end-to-end: identifying the right problems, designing experiments, prototyping, and shipping the winners into production alongside the engineering team. Concretely, that looks like: Advance the core AI platform. Design and implement novel approaches to the problems at the heart of Ivo's product: reasoning over long-context legal corpora, contract comparison and redlining, information extraction, and automated drafting and editing. Make our models trustworthy. Conduct research on procedural hallucination detection and resolution, calibration, and explainability. In a domain where a single fabricated citation can sink a deal, the bar for groundedness is uncompromising — your job is to keep raising it. Push frontier techniques into production. Explore and apply advanced fine-tuning, PEFT, and distillation techniques to make our models faster, cheaper, and more accurate on legal- specific tasks. Evaluate emerging work in agentic systems, long-context modeling, and reasoning, and figure out which ideas actually move the needle for our customers. Build the evaluation infrastructure. Design and maintain datasets, benchmarks, and evals for training and measuring model performance on complex legal text. Define the metrics that matter, and hold the team to them. Ship. Partner closely with Engineering and Product to take prototypes from notebook to production, write internal reports that influence the technical direction of the platform, and present findings to both technical and non-technical audiences across the company. WHO YOU ARE Required: - A Ph.D. in Computer Science, Engineering, Mathematics, Physics, or a related quantitative field — or equivalent industry research experience with a comparable track record. - Evidence of exceptional ability — a paper, shipped system, open-source contribution, competition result, or hard problem you cracked that puts you meaningfully ahead of your peers. - Deep, hands-on experience in deep learning research and development, particularly with LLMs. Strong working knowledge of modern frameworks (PyTorch, JAX, or TensorFlow) and the surrounding open-source ecosystem. - Expertise in at least one of: agentic systems, reasoning, parameter-efficient fine-tuning (PEFT) methods, quantization, inference optimization (e.g., speculative decoding), hallucination mitigation, novel architectures in deep learning, or robust evaluation methodology for LLMs. - Excellent communication skills, with the ability to articulate complex research findings clearly to both technical and non-technical audiences. - A bias toward action: you ship rather than perfect, you measure rather than guess, and you'd rather have a working prototype today than a polished plan next week. Nice to have: - Publications at top venues — e.g., ML/AI conferences (NeurIPS, AAAI, ICML, ICLR), or peer-reviewed journals in adjacent quantitative fields (Journal of Computational Physics, SIAM journals, Journal of the ACM, Nature, Science, PNAS) — or equivalent strong research contributions in industry. - Experience with long-context modeling, retrieval, or grounded generation in high-stakes domains (legal, medical, financial). - Prior work on hallucination detection, calibration, or interpretability. - A track record of building from zero in fast-paced startup or research environments. YOU'LL THRIVE AT IVO IF: - You love writing code, but you love impact more. We're a team of engineers at heart, but our #1 goal is the best possible product. That means making pragmatic choices and looking for 80/20 solutions over the elegant 100% answer. - You're relentlessly resourceful. When the path isn't clear, you find one. When the tool doesn't exist, you build it. - You have a strong internal sense of urgency. You'd rather do it today than tomorrow. - You're excited by the adventure of building a company. Startup experience is preferred, but not required — the disposition matters more than the resume line. MISSION Every major business has an in-house legal team, and all of those lawyers are overworked. 80- hour weeks, tight deadlines, and contract-reading death marches are the industry norm. Until recently, there wasn't anything technology could do about it. LLMs have given us the ability to give lawyers their lives back. At Ivo, that's our mission. We're building an AI-native platform to automate legal drudgery. People love our software —despite high competition, we have the highest trial win rate on the market (85%). We're genuinely improving people's lives, and we're only just getting started. FAQ - How far along are we? We launched in early access in 2023. Since then, we've had an incredible response from the market and are growing rapidly. We 6x'd ARR in the last 12 months. Our clients include Uber, Reddit, IBM, Canva, Pinterest, WordPress, and more. We're happy to share more details with candidates who go through our interview process. - Can I work remotely? We have an in-office culture, with some hybrid flexibility. - Compensation: The USD salary range for this role is $250K–$325K. Final offer amounts are determined by multiple factors, including experience and expertise, and may vary from the amounts listed above.", "summaryDescription" : "AI Researcher at Ivo. Skills: LLMs, Deep learning, AI research, Agentic systems. Advance the core AI platform. Design novel approaches", "createdAt" : "2026-06-14T19:21:55.510", "lastUpdated" : "2026-06-16T02:22:58.709", "ingestTimestamp" : "2026-06-14T19:21:55.510", "mongoId" : "6a2caf9b74d8ee00a09d75aa", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "200k+", "hasSalary" : false, "allSkills" : [ "Deep learning research", "LLM development", "Procedural hallucination detection", "Calibration", "Explainability", "Fine-tuning", "PEFT", "Distillation", "Agentic systems", "Long-context modeling", "Evaluation infrastructure", "Dataset design", "Benchmark design", "Leadership", "LLMs", "Deep learning", "AI research", "Research roadmap ownership", "Experiment design", "Prototyping", "System design", "Technical direction", "Roadmap ownership", "Legal domain", "Contract intelligence", "Legal fact extraction", "Contract databases", "Legal documents", "Contract comparison", "Contract redlining", "Automated drafting", "Automated editing", "Fabricated citation", "Groundedness", "Legal-specific tasks", "Legal text", "MS Word" ], "skillCount" : 37, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Executive", "dataQualityScore" : 0.7777778, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Legal", "llmIndustryConfidence" : 0.98 }, { "id" : "6a305118f292fd229cef9943", "title" : "Discovery Lab Filtration Leader", "industry" : "Others", "salary" : { "min" : 4500000.0, "max" : 7000000.0, "currency" : "INR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Director of Discovery Lab Filtration in the Biotech industry in India, adjusted for seniority and industry." }, "location" : "India", "locations" : [ "India" ], "timestamp" : "2026-06-16T12:38:11.088", "fingerprint" : "139d463ec5b2071467b6404642615d96360dae059ed16264282a68fd16474c7f", "source" : "lever", "language" : "en", "applyUrl" : "https://jobs.lever.co/jobgether/e85eeb32-9840-461e-af09-5fe5b4421033/apply", "externalId" : "e85eeb32-9840-461e-af09-5fe5b4421033", "industryFunction" : { }, "structuredLocations" : [ { "country" : "India", "continent" : "as", "workMode" : "onsite" } ], "locationText" : "India", "employmentType" : "FULL_TIME", "minimumEducation" : "Bachelor's", "experienceMinYears" : 10, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "professionalSkills" : [ "Sales leadership", "Team management", "Financial planning", "Demand forecasting", "Performance tracking", "Customer acquisition", "Key account growth", "Market analysis", "Competitive dynamics" ], "softSkillsList" : [ "Leadership", "People development", "Interpersonal skills" ], "softSkills" : [ { "name" : "Leadership" }, { "name" : "People development" }, { "name" : "Interpersonal skills" } ], "majorSkills" : "Commercial strategy, Sales leadership, Team development", "majorSkillsList" : [ "Commercial strategy", "Sales leadership", "Team development" ], "coreResponsibilities" : "Define regional commercial strategy, Execute regional commercial strategy, Lead Account Managers, Develop Account Managers, Motivate Account Managers, Lead Sales Specialists, Develop Sales Specialists, Motivate Sales Specialists, Drive market share expansion, Oversee financial planning, Oversee demand forecasting, Oversee performance tracking, Build customer acquisition strategies, Execute customer acquisition strategies, Build key account growth strategies, Execute key account growth strategies, Strengthen customer relationships, Engage with key stakeholders, Provide technical leadership, Provide capability development, Analyze market trends, Analyze competitive dynamics, Identify opportunities, Inform strategic decisions", "teamCollaboration" : "Cross-functional teams; Global teams; Regional teams", "domainKnowledge" : "Laboratory filtration; Pharma segments; Biopharma segments; CRO/CDMO segments; Academic institutions; Biotech; Translational research; Applied life sciences", "domainList" : [ "laboratory-filtration", "pharma-segments", "biopharma-segments", "cro-cdmo-segments", "academic-institutions", "biotech", "translational-research", "applied-life-sciences" ], "domainSpecificKnowledge" : [ "Laboratory filtration", "Pharma segments", "Biopharma segments", "CRO/CDMO segments", "Academic institutions", "Biotech", "Translational research", "Applied life sciences" ], "communicationSkills" : "Presentation skills; Interpersonal skills", "continuousLearning" : "Leadership development; Technical training programs", "outcomesObjectives" : "Drive growth across portfolios; Expand market share", "qualificationsBasic" : "10+ years of experience in life sciences commercial roles, Proven success in sales leadership or team management, Understanding of laboratory filtration, Understanding of QC environments, Understanding of OEM, Understanding of applied life sciences segments, Ability to build and execute commercial strategies, Ability to work collaboratively across global and regional teams", "qualificationsPreferred" : "MBA or advanced degree preferred, Experience in a matrix organization", "remoteFriendly" : true, "workSiteFlexibility" : "Flexible", "rawDescription" : "## Accountabilities Define and execute the regional commercial strategy for lab filtration products, aligned with global and regional business priorities. Lead, develop, and motivate a team of Account Managers and Sales Specialists to drive growth across Whatman and Pall portfolios. Drive market share expansion across key segments including pharma, biopharma, CROs/CDMOs, and academic institutions. Oversee financial planning, demand forecasting, and performance tracking for assigned product portfolios. Build and execute customer acquisition and key account growth strategies across India and South Asia. Strengthen customer relationships and engage with key stakeholders in biotech, translational research, and academia. Provide technical leadership and capability development for commercial teams through training and continuous knowledge sharing. Analyze market trends and competitive dynamics to identify opportunities and inform strategic decisions. Requirements: Bachelor’s or Master’s degree in Life Sciences or related scientific field; MBA or advanced degree preferred. 10+ years of experience in life sciences commercial roles, with proven success in sales leadership or team management. Strong understanding of laboratory filtration, QC environments, OEM, and applied life sciences segments. Demonstrated ability to build and execute commercial strategies in a matrix organization. Strong leadership and people development skills with the ability to inspire and guide cross-functional teams. Excellent communication, presentation, and interpersonal skills with the ability to influence senior stakeholders. Strong business acumen with the ability to analyze markets and translate insights into actionable strategies. Ability to work collaboratively across global and regional teams in a dynamic environment. Benefits: Competitive compensation package aligned with senior commercial leadership roles. Performance-based incentives tied to business growth and market expansion. Flexible working arrangements, including remote work options depending on role structure. Comprehensive health insurance and wellness support programs. Opportunity to lead strategic growth initiatives across a high-impact life sciences portfolio. Access to continuous learning, leadership development, and technical training programs. Exposure to global teams, customers, and cross-functional commercial operations. Dynamic work environment focused on innovation, collaboration, and scientific advancement. ## Additional Information How Jobgether works: We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team. We appreciate your interest and wish you the best! Why Apply Through Jobgether? Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time. #LI-CL1", "summaryDescription" : "Discovery Lab Filtration Leader. Skills: Commercial strategy, Sales leadership, Team development. Define regional commercial strategy. Execute regional commercial strategy", "postedDate" : "2026-06-15T06:45:31.204", "createdAt" : "2026-06-15T06:45:31.204", "lastUpdated" : "2026-06-16T12:38:11.088", "ingestTimestamp" : "2026-06-16T03:23:41.526", "mongoId" : "6a305118f292fd229cef9943", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "200k+", "hasSalary" : false, "allSkills" : [ "Leadership", "People development", "Interpersonal skills", "Commercial strategy", "Sales leadership", "Team development", "Team management", "Financial planning", "Demand forecasting", "Performance tracking", "Customer acquisition", "Key account growth", "Market analysis", "Competitive dynamics", "Laboratory filtration", "Pharma segments", "Biopharma segments", "CRO/CDMO segments", "Academic institutions", "Biotech", "Translational research", "Applied life sciences" ], "skillCount" : 22, "jobCategory" : "sales", "jobSubcategory" : "revenue", "seniorityLevel" : "Director", "dataQualityScore" : 0.8888889, "daysOld" : 1, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "Biotech", "llmIndustryConfidence" : 0.95 }, { "id" : "6a306043f292fd229cf89625", "title" : "Multi-Site Maintenance Supervisor", "company" : "Avanath", "industry" : "Real Estate", "salary" : { "min" : 64646.0, "max" : 64646.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Carlsbad, California, United States", "locations" : [ "Carlsbad", "California", "United States", "Carlsbad", "California", "United States" ], "certifications" : [ "HVAC certification", "CPO certification" ], "timestamp" : "2026-06-16T08:35:30.306", "fingerprint" : "23154304e193720a7fb399087b153c801bb83ec5ae1d02b4c25eb602eab6d393", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/brighthavencommunities/jobs/5165194007", "externalId" : "5165194007", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Carlsbad", "state" : "California", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "33.1580933,-117.3505966" } ], "locationText" : "Carlsbad, California, United States", "employmentType" : "FULL_TIME", "experienceMinYears" : 3, "experienceLevel" : "Manager", "professionalSkills" : [ "Customer service", "Interpersonal skills" ], "hardSkillsList" : [ "Plumbing repair", "HVAC repair", "Appliance repair", "Electrical repair", "Carpentry repair", "Preventative maintenance", "Hazard communications" ], "hardSkills" : [ { "name" : "Plumbing repair", "level" : "intermediate" }, { "name" : "HVAC repair", "level" : "intermediate" }, { "name" : "Appliance repair", "level" : "intermediate" }, { "name" : "Electrical repair", "level" : "intermediate" }, { "name" : "Carpentry repair", "level" : "intermediate" }, { "name" : "Preventative maintenance", "level" : "intermediate" }, { "name" : "Hazard communications", "level" : "intermediate" } ], "majorSkills" : "Maintenance management, Resident relations, Customer service", "majorSkillsList" : [ "Maintenance management", "Resident relations", "Customer service" ], "coreResponsibilities" : "Deliver on commitments to residents, Provide superior customer service, Oversee staff and vendors, Ensure property maintenance, Create sense of community, Create positive experience for residents, Build relationships within communities, Adopt collaborative approach, Resolve resident concerns, Resolve staff concerns, Demonstrate active listening, Resolve challenges, Treat residents with respect, Answer questions from team, Answer questions from residents, Respond sensitively to complaints, Assign work orders with efficiency, Assign work orders with urgency, Project favorable image of community, Achieve property objectives, Achieve public recognition, Ensure consistency with residents, Ensure follow-up with residents, Ensure follow-through with residents, Enforce community policies, Complete work orders from resident requests, Complete work orders for routine upkeep, Diagnose defect or problem, Make repairs, Coordinate resident requests, Coordinate management requests, Coordinate work orders, Ensure repairs are necessary, Ensure replacements are necessary, Fix rather than replace parts, Avoid waste of materials, Avoid waste of supplies, Practice correct use of tools, Practice correct use of equipment, Inspect grounds daily, Inspect building daily, Inspect community features daily, Identify hazardous property conditions, Minimize hazardous property conditions, Correct hazardous property conditions, Identify liability concerns, Minimize liability concerns, Correct liability concerns, Manage maintenance supplies inventory, Order maintenance supplies inventory, Adhere to budget guidelines, Maintain preventative maintenance program, Extend life of community, Minimize future repairs, Maintain organized maintenance shop, Maintain stocked maintenance shop, Adhere to safety standards, Adhere to OSHA guidelines, Maintain hazard communications, Teach safe work practices, Promote safe work practices, Manage unit inspections, Maintain key control of community, Maintain records regarding service requests, Maintain records regarding EPA standards, Maintain records regarding OSHA standards, Provide input on employee performance, Conduct safety meetings, Attend safety meetings, Ensure MSDS sheets are current, Ensure MSDS sheets are accessible, Keep up to date on OSHA laws, Keep up to date on safety laws, Ensure community compliance, Practice proper safety techniques, Report mechanical equipment malfunctions, Report electrical equipment malfunctions, Report employee injuries, Report visitor injuries, Report resident injuries, Report accidents, Report safety issues, Comply with risk-management policies, Participate in safety meetings, Complete required training on OSHA, Complete required training on safety laws, Report accidents promptly, Report incidents promptly, Report accidents accurately, Report incidents accurately, Follow established policies, Follow established procedures, Monitor compliance with regulatory requirements, Ensure compliance with regulatory requirements, Monitor compliance with organizational standards, Ensure compliance with organizational standards, Monitor compliance with operational processes, Ensure compliance with operational processes, Report violations or infractions, Conduct business in accordance with company policies, Conduct business in accordance with company procedures, Conduct business in accordance with Fair Housing, Conduct business in accordance with ADA, Conduct business in accordance with apartment industry laws", "teamCollaboration" : "Partner with Community Manager; Work with assigned staff; Work with vendors; Collaborate with workforce; Seek resources throughout organization; Seek senior leadership resources", "domainKnowledge" : "Multifamily property maintenance; Fair Housing laws; Americans with Disabilities Act", "domainList" : [ "multifamily-property-maintenance", "fair-housing-laws", "americans-with-disabilities-act" ], "domainSpecificKnowledge" : [ "Multifamily property maintenance", "Fair Housing laws", "Americans with Disabilities Act" ], "documentationSkills" : "Maintain records", "problemSolvingSkills" : "Diagnose problems; Make repairs", "specialRequirements" : "On-call availability, Weekend work availability", "qualificationsBasic" : "3 years multifamily property maintenance experience, 1 year supervisory experience, Expertise in plumbing, Expertise in HVAC, Expertise in appliance repair, Expertise in electrical, Expertise in carpentry, Valid Driver's License, Organizational skills, Ability to handle multiple priorities, Solid interpersonal skills, Solid customer service skills, Available for on-call work, Available for weekend work", "qualificationsPreferred" : "HVAC certification, CPO certification", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Overview Avanath is proud to be named one of the top property management companies to provide affordable housing for the workforce. Cultivating the American Dream is the purpose that binds the Avanath team. At Avanath, every day is an opportunity to make a difference in someone's life. Whether it is helping residents call one of our communities’ home, providing excellence in customer service, or championing our workforce, we are committed to creating an unforgettable experience as a great place to live, work, and be. The Role: The Maintenance Supervisor is accountable for delivering on our commitments to our residents and is instrumental in helping Avanath provide superior customer service to our residents. This includes quality move-in, timely service, superb curb appeal, and personal attention to our residents and their homes. The Maintenance Supervisor works alongside the Community Manager, partnering to oversee the activities of assigned staff and vendors to ensure the maintenance of the property. The incumbent in this role must possess a high degree of professionalism and positive engagement for our residents and the workforce. An Aptitude for Connecting - Must possess a strong sense for creating a sense of community, as well as the drive to go the extra mile to create a positive experience for all residents and staff. Your success and purpose are driven by the relationships that you build within your communities, including vendor partners, regulatory, and social services partnerships. This includes adopting a collaborative approach to create consistent, favorable circumstances that foster success and effectiveness for the Organization and the communities. An Authentic Attitude - Consistently demonstrate an open and professional attitude and approach when accessing and resolving resident and staff concerns. This includes, but is not limited to, seeking resources throughout the organization via the organization's support services and senior leadership. An Approach that is positive and Professional - Consistently demonstrate an approach of active listening and understand that your participation and support are integral to the success of Avanath, ensuring that each resident and staff member feels seen, heard, and valued as you and the staff work to resolve challenges. Qualifications At least 3 years of multifamily property maintenance experience. One year of supervisory experience required. Expertise in plumbing, HVAC, appliance repair, electrical, and carpentry work is required. HVAC and CPO certifications are highly desired. Valid Driver’s License. Very strong organizational skills and ability to handle multiple priorities. Solid interpersonal and customer service skills. Must be available for on-call and weekend work. Key Accountabilities + Resident Relations + Customer Service Demonstrates customer service skills by treating residents and others with respect, answering questions from the team and residents, responding sensitively to complaints about maintenance services, and assigning work orders with efficiency and urgency. Projects a favorable image of the community to achieve property objectives and public recognition. Ensure consistency, follow-up, and follow-through in dealing with residents on all matters. Enforce policies of the community that are delegated by Community Manager. Assists and completes work orders generated from resident requests for service, as well as routine upkeep on the community by diagnosing the source or cause of the defect or problem, and making repairs in accordance with established policies, procedures, safety standards, and code requirements. + Maintenance Management Coordinate, schedule, and respond to resident/management requests and work orders. Ensure all repairs and replacements are necessary for community common areas and units. Supports cost-cutting and expense control programs by fixing rather than replacing parts, when possible, not being wasteful with materials and supplies, and practicing the correct use of tools and equipment. Inspect grounds, building, and other community features daily to identify, minimize, and correct hazardous property conditions or liability concerns. Manage and order maintenance supplies inventory while adhering to budget guidelines set by Community Manager and Building Services. Maintain a preventative maintenance program that extends the life of the community while minimizing future repairs. Maintain a well-organized and properly stocked maintenance shop while adhering to safety standards and OSHA guidelines. Maintain hazard communications program; teach and promote safe work practices. Manage unit inspections. Responsible for key control of the community. Maintain accurate records regarding service requests, EPA/OSHA standards, preventative maintenance, apartment make-ready status, work in progress, etc. Manage and participate in on-call emergencies in the community. Plan for and utilize property resources, equipment, and supplies economically by obtaining bids/pricing from vendors, suppliers, and contractors. Give direction to and monitor maintenance, construction, and rehabilitation activities to ensure quality and expediency. + Staff Leadership Challenge all team members to achieve higher levels of performance by establishing and communicating immediate and long-term goals. Develops standards for the cleanliness and overall appearance of the community’s grounds, amenities, building exteriors, market-ready unit interiors, breezeways, curbs, signage, leasing office, central garbage areas, parking lots, and other buildings and common areas to ensure that they reflect and represent the high quality of the community and Avanath standards. Under the direction of Community Manager, supervises, trains, and schedules maintenance activities for maintenance staff. Monitor work progress of each maintenance staff on a daily basis; provide immediate assistance and instruction if needed. Provide input to the Community Manager regarding employee performance evaluations. Conducts and/or attends regularly scheduled Avanath safety meetings, ensures all MSDS sheets are current and readily accessible, and keeps up to date on all OSHA and other safety-related laws and requirements to ensure community compliance. + Adherence to Property Management Rules, Regulations, and Guidelines Practices proper safety techniques in accordance with Company, property, and departmental policies, procedures, and standards by immediately reporting any mechanical or electrical equipment malfunctions, employee/visitor/resident injuries or accidents, or other safety issues to the appropriate individual(s). Complies with Avanath’s safety and risk-management policies by attending and participating in the property’s routine safety meetings, completing required training on OSHA and other safety-related laws and requirements, and reporting accidents and incidents promptly and accurately. Follows established policies and procedures by monitoring and ensuring compliance with regulatory requirements, organizational standards, and operational processes related to area(s) of responsibility and reporting violations or infractions to appropriate individual(s). Conduct all business in accordance with company policies and procedures, Fair Housing, Americans with Disabilities Act, and all other laws pertaining to the apartment industry. Physical Demands compensation and benefits; professional development and training; promotions; transfers; and the ongoing development of a work environment built on the premise of gender and diversity equity that encourages and enforces: + Respectful communication and cooperation between all employees. + Teamwork and employee participation, permitting the representation of all groups and employee perspectives. + Work/life balance through flexible work schedules to accommodate employees’ varying needs. + Employer and employee contributions to the communities we serve to promote a greater understanding and respect for diversity. Compensation Range Compensation Range $31.08—$31.08 USD", "summaryDescription" : "Multi-Site Maintenance Supervisor at Avanath. Skills: Maintenance management, Resident relations, Customer service. Deliver on commitments to residents. Provide superior customer service", "postedDate" : "2026-06-15T23:28:15.155", "createdAt" : "2026-06-15T23:28:15.155", "lastUpdated" : "2026-06-16T08:35:30.306", "ingestTimestamp" : "2026-06-15T23:28:15.155", "mongoId" : "6a306043f292fd229cf89625", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 64646, "salaryAnnualMax" : 64646, "salaryBand" : "50k-75k", "hasSalary" : true, "allSkills" : [ "Plumbing repair", "HVAC repair", "Appliance repair", "Electrical repair", "Carpentry repair", "Preventative maintenance", "Hazard communications", "Maintenance management", "Resident relations", "Customer service", "Interpersonal skills", "Multifamily property maintenance", "Fair Housing laws", "Americans with Disabilities Act", "HVAC certification", "CPO certification" ], "skillCount" : 16, "jobCategory" : "operations", "jobSubcategory" : "general", "seniorityLevel" : "Manager", "dataQualityScore" : 1.0, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Real Estate", "llmIndustryConfidence" : 0.95 }, { "id" : "68e0a7e5ce260f92cbf8ebf9", "title" : "Applied Scientist II, Prime Video - Personalization and Discovery Science, Personalization and Discovery Science", "company" : "Amazon.com LLC", "industry" : "Machine Learning Science, Applied Science, entertainment", "salary" : { "min" : 136000.0, "max" : 223400.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Seattle, Washington, USA", "locations" : [ "Seattle, Washington, USA" ], "timestamp" : "2026-06-15T04:17:47.110", "fingerprint" : "3d9e28fa83b0eb771f91f7b5a349b62931ed748ec399d48d0161b1e47cc15feb", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.com/jobs/3099334/apply", "externalId" : "c555ea44-62c3-42ac-9f1c-91eb0453fb54", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Seattle", "state" : "Washington", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "47.6038321,-122.3300620" } ], "locationText" : "Seattle, Washington, United States", "employmentType" : "FULL_TIME", "experienceMinYears" : 2, "experienceMaxYears" : 5, "experienceLevel" : "Mid", "technicalSkills" : "Java, C++, Python, Unix/Linux", "professionalSkills" : [ "Machine learning", "Deep learning", "Online learning", "Optimization methods", "Data mining", "Parallel computing", "Distributed computing", "High-performance computing" ], "hardSkillsList" : [ "Algorithms", "Data structures" ], "hardSkills" : [ { "name" : "Algorithms", "level" : "intermediate" }, { "name" : "Data structures", "level" : "intermediate" } ], "majorSkills" : "Machine learning, Recommendation systems, Search systems", "majorSkillsList" : [ "Machine learning", "Recommendation systems", "Search systems" ], "coreResponsibilities" : "Develop ML models for recommendation & search systems, Expand product insights with data, Create experiments to determine high impact projects, Publish research findings in top conferences and journals, Build highly scalable page personalization solutions, Publish research at internal and external conferences", "teamCollaboration" : "Work closely with scientists; Work closely with engineers; Work closely with product managers; Collaborate with talented teams", "domainKnowledge" : "Personalization; Discovery science; Digital video", "domainList" : [ "personalization", "discovery-science", "digital-video" ], "domainSpecificKnowledge" : [ "Personalization", "Discovery science", "Digital video" ], "innovationCreativity" : "Experiment with new possibilities; Take risks", "qualificationsBasic" : "3+ years of building models, PhD or Master's degree and 4+ years of CS, CE, ML or related field experience, Experience programming in Java, C++, Python or related language, Experience in algorithms and data structures, Experience in parsing, Experience in numerical optimization, Experience in data mining, Experience in parallel and distributed computing, Experience in high-performance computing", "qualificationsPreferred" : "Experience using Unix/Linux, Experience in professional software development", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Prime Video is a first-stop entertainment destination offering customers a vast collection of premium programming in one app available across thousands of devices. Prime members can customize their viewing experience and find their favorite movies, series, documentaries, and live sports – including Amazon MGM Studios-produced series and movies; licensed fan favorites; and programming from Prime Video add-on subscriptions such as Apple TV+, Max, Crunchyroll and MGM+. All customers, regardless of whether they have a Prime membership or not, can rent or buy titles via the Prime Video Store, and can enjoy even more content for free with ads. Are you interested in shaping the future of entertainment? Prime Video's technology teams are creating best-in-class digital video experience. As a Prime Video technologist, you’ll have end-to-end ownership of the product, user experience, design, and technology required to deliver state-of-the-art experiences for our customers. You’ll get to work on projects that are fast-paced, challenging, and varied. You’ll also be able to experiment with new possibilities, take risks, and collaborate with remarkable people. We’ll look for you to bring your diverse perspectives, ideas, and skill-sets to make Prime Video even better for our customers. With global opportunities for talented technologists, you can decide where a career Prime Video Tech takes you! Key job responsibilities Develop ML models for various recommendation & search systems using deep learning, online learning, and optimization methods Work closely with other scientists, engineers and product managers to expand the depth of our product insights with data, create a variety of experiments to determine the high impact projects to include in planning roadmaps Stay up-to-date with advancements and the latest modeling techniques in the field Publish your research findings in top conferences and journals A day in the life We're using advanced approaches such as foundation models to connect information about our videos and customers from a variety of information sources, acquiring and processing data sets on a scale that only a few companies in the world can match. This will enable us to recommend titles effectively, even when we don't have a large behavioral signal (to tackle the cold-start title problem). It will also allow us to find our customer's niche interests, helping them discover groups of titles that they didn't even know existed. We are looking for creative & customer obsessed machine learning scientists who can apply the latest research, state of the art algorithms and ML to build highly scalable page personalization solutions. You'll be a research leader in the space and a hands-on ML practitioner, guiding and collaborating with talented teams of engineers and scientists and senior leaders in the Prime Video organization. You will also have the opportunity to publish your research at internal and external conferences. Basic Qualifications: - 3+ years of building models for business application experience - PhD, or Master's degree and 4+ years of CS, CE, ML or related field experience - Experience programming in Java, C++, Python or related language - Experience in any of the following areas: algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computing Preferred Qualifications: - Experience using Unix/Linux - Experience in professional software development Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company’s reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner. Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $136,000/year in our lowest geographic market up to $223,400/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits . This position will remain posted until filled. Applicants should apply via our internal or external career site.", "summaryDescription" : "Applied Scientist II, Prime Video - Personalization and Discovery Science, Personalization and Discovery Science at Amazon.com LLC. Skills: Machine learning, Recommendation systems, Search systems. Develop ML models for recommendation & search systems. Expand product insights with data", "postedDate" : "2026-06-13T12:14:47.710", "createdAt" : "2026-06-13T12:14:47.710", "lastUpdated" : "2026-06-15T04:17:47.110", "ingestTimestamp" : "2026-06-13T12:14:47.710", "mongoId" : "68e0a7e5ce260f92cbf8ebf9", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://account.amazon.com/jobs/3099334/apply", "salaryAnnualMin" : 136000, "salaryAnnualMax" : 223400, "salaryBand" : "100k-150k", "hasSalary" : true, "allSkills" : [ "Algorithms", "Data structures", "Machine learning", "Recommendation systems", "Search systems", "Deep learning", "Online learning", "Optimization methods", "Data mining", "Parallel computing", "Distributed computing", "High-performance computing", "Personalization", "Discovery science", "Digital video" ], "skillCount" : 15, "jobCategory" : "data", "dataQualityScore" : 1.0, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true }, { "id" : "6a2ca61674d8ee00a09b96de", "title" : "Scientist II, Drug Product", "company" : "Revolution Medicines", "industry" : "Biotech", "salary" : { "min" : 132000.0, "max" : 166000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Redwood City, California, United States", "locations" : [ "Redwood City", "California", "United States" ], "timestamp" : "2026-06-16T02:54:23.829", "fingerprint" : "cc6f759387b46bc1767b492347de9c452453893c098da2a837e604f72912b681", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://www.revmed.com/careers-list/?gh_jid=7757565003", "externalId" : "7757565003", "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", "minimumEducation" : "PhD", "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: The successful candidate will contribute to formulation and process development activities from early-stage through late-stage clinical/commercial development, working closely with cross-functional partners and CDMOs to ensure robust, scalable, and compliant drug product manufacturing processes. Key Responsibilities: Contribute to drug product development activities for new chemical entities (NCEs) from early development through late-stage clinical development, with exposure to commercialization activities. Design and execute drug product development and manufacturing activities for solid oral dosage forms, including: Preformulation and formulation development Manufacturing process development Process scale-up, technology transfer, and process optimization Process validation and commercial manufacturing support Support outsourced development and GMP drug product manufacturing activities at CDMOs including manufacturing oversight and troubleshooting. Design and execute experiments, analyze and interpret data and present results and conclusions to project teams. Work independently with limited supervision to conduct appropriate research and troubleshoot technical challenges, escalating complex issues as needed. Author and contribute to CMC documentation for regulatory submissions (e.g., INDs, NDAs, MAAs) and internal technical reports. Collaborate cross-functionally within CMC team (Clinical Supply, Analytical Development/QC, Quality Assurance, Drug Substance, Regulatory Affairs, and Project Management) and at enterprise level research/clinical/commercial teams to support aligned development strategy and execution. Travel up to 20% to CRO/CDMO sites to support and oversee development and manufacturing operations. Required Skills, Experience and Education: A degree in Pharmaceutical Science, Chemistry, Chemical Engineering, or closely related field is desirable. Ph. D. with minimum of 3+ years of experience or a bachelor’s/master’s degree with appropriate experience in the pharmaceutical/biotech industry settings. Experience supporting drug product development and manufacturing for small molecules. Demonstrated experience in solid oral dosage formulation and process development for small molecules. Experience working with external partners (CDMOs/CROs) and overseeing outsourced development and manufacturing activities. Working knowledge of global regulatory expectations, including ICH guidelines and FDA, EMA, PMDA etc. requirements. Experience contributing to CMC regulatory filings is desirable. Strong technical writing, communication, and problem-solving skills. Ability to manage multiple priorities and thrive in a fast-paced, innovation-driven collaborative environment. Preferred Skills: Ph. D. degree in Pharmaceutical Science, Chemistry, Chemical Engineering, or closely related field is desirable. 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 $132,000—$166,000 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" : "Scientist II, Drug Product at Revolution Medicines", "postedDate" : "2026-06-14T20:12:14.608", "createdAt" : "2026-06-14T20:12:14.608", "lastUpdated" : "2026-06-16T02:54:23.829", "ingestTimestamp" : "2026-06-14T20:12:14.608", "mongoId" : "6a2ca61674d8ee00a09b96de", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 132000, "salaryAnnualMax" : 166000, "salaryBand" : "100k-150k", "hasSalary" : true, "allSkills" : [ ], "skillCount" : 0, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Mid", "dataQualityScore" : 0.7777778, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Biotech", "llmIndustryConfidence" : 0.98 }, { "id" : "6a16420058b93c861e9c1046", "title" : "Human Resources and Facilities Generalist", "company" : "Center for Responsive Schools", "industry" : "Education", "salary" : { "min" : 61000.0, "max" : 85000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Mid-level Human Resources and Facilities Generalist in Turners Falls, United States, adjusted for the Education industry and company size." }, "location" : "Turners Falls, MA", "locations" : [ "Turners Falls", "MA" ], "timestamp" : "2026-06-15T04:56:36.381", "fingerprint" : "808df9a9ff412595ae543ce3d2a467168679f8cb55a5f48e562a89b5cdee80c9", "source" : "breezyhr", "language" : "en", "applyUrl" : "https://center-for-responsive-schools.breezy.hr/p/b4696e1ffb93-human-resources-and-facilities-generalist", "externalId" : "b4696e1ffb93", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Turners Falls", "state" : "Massachusetts", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "42.6083091,-72.5567883" } ], "locationText" : "Turners Falls, Massachusetts, United States", "employmentType" : "FULL_TIME", "majorSkills" : "Talent management, Employee relations, HR processes, Organizational development", "majorSkillsList" : [ "Talent management", "Employee relations", "HR processes", "Organizational development" ], "coreResponsibilities" : "Administer HR programs, Align HR programs with goals, Ensure compliance with standards, Ensure compliance with regulations", "workSiteFlexibility" : "Onsite", "rawDescription" : "POSITION SUMMARY: Reporting to the Director of Finance and Operations, Officer, the HR Specialist is responsible for ensuring HR programs are consistently administered, aligned with organizational goals and in compliance with professional standards and regulatory requirements and laws. This positi", "summaryDescription" : "Human Resources and Facilities Generalist at Center for Responsive Schools. Skills: Talent management, Employee relations, HR processes, Organizational development. Administer HR programs. Align HR programs with goals", "createdAt" : "2026-06-14T06:16:38.953", "lastUpdated" : "2026-06-15T04:56:36.381", "ingestTimestamp" : "2026-06-14T06:16:38.953", "mongoId" : "6a16420058b93c861e9c1046", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 61000, "salaryAnnualMax" : 85000, "salaryBand" : "50k-75k", "hasSalary" : true, "allSkills" : [ "Talent management", "Employee relations", "HR processes", "Organizational development" ], "skillCount" : 4, "jobCategory" : "operations", "jobSubcategory" : "hr", "seniorityLevel" : "Mid", "dataQualityScore" : 0.7777778, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Education", "llmIndustryConfidence" : 0.92 }, { "id" : "6a309c10f292fd229c0f6af5", "title" : "Human Resources Specialist", "company" : "Walden Security", "salary" : { "min" : 50000.0, "max" : 55000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Charlotte", "locations" : [ "Charlotte", "Corporate Office" ], "timestamp" : "2026-06-16T12:11:21.467", "fingerprint" : "be62be02c2fec91f3e44eae82b0f784c1b396fc3bc98083ec2d5db62e855dbbc", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/waldensecurity/jobs/5158477007", "externalId" : "5158477007", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Charlotte", "state" : "North Carolina", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "35.2272086,-80.8430827" } ], "locationText" : "Charlotte, North Carolina, United States", "remoteFriendly" : true, "rawDescription" : "SUMMARY: Assists the Human Resources Manager with various Human Resources administrative functions and performs administrative duties related to the operations of the branch or office. ESSENTIAL DUTIES AND RESPONSIBILITIES: Keeps records related to employee information such as personal data, compensation, benefits, tax data, attendance, performance reviews or evaluations, and termination date and reason. Administers pre-employment tests, drug screens, background checks, and pre- and post-employment documentation. Completes Forms I-9, verifies I-9 documentation, and maintains I-9 files. Provides Walden Security benefits information and assists with completing the necessary forms to enroll and cancel benefits. Provides Walden Security benefits information and assists with completing the necessary forms to enroll and cancel benefits. Maintains electronic personnel files. Updates employee files to document personnel actions and to provide information for payroll and other uses. Creates and enters new employee personnel information into the HRIS. Examines employee files to answer inquiries and provides information to authorized persons. Prepares employee separation notices and related documentation, and conducts exit interviews to determine reasons behind separations. Participates in company Quality Assurance initiatives, including record keeping, training, and auditing. Answers DOL unemployment inquiries and completes verification of employment requests for employees. Assists with uniform assignments, exchanges, or reimbursements. Assists with the maintenance of uniform room cleanliness and inventory. Assists Human Resources Manager in the filing of FMLA requests and Workers’ Compensation claims. Assists the Human Resources Manager with DOL unemployment inquiries. Completes verification of employment requests for employees. Performs other clerical duties as needed, such as filing, photocopying, and collating. Conducts orientation for benefits programs such as life, health, dental, and disability insurances, pension plans, vacation, sick leave, leaves of absence, and employee assistance; SUPERVISORY RESPONSIBILITIES: This job has no supervisory responsibilities. The Human Resources Specialist reports to the Human Resources Manager and is subject to supervision from the Human Resources Manager and the General Manager. COMPETENCY: To perform the job successfully, an individual should demonstrate the following competencies: • Customer Service - Manages difficult or emotional customer situations; Responds promptly to customer needs; Solicits customer feedback to improve service; Responds to requests for service and assistance; Meets commitments. • Interpersonal Skills - Focuses on solving conflict, not blaming; Maintains confidentiality; Listens to others without interrupting; Keeps emotions under control; Remains open to others' ideas and tries new things. • Oral Communication - Speaks clearly and persuasively in positive or negative situations; Listens and gets clarification; Responds well to questions; Participates in meetings. • Written Communication - Writes clearly and informatively; Edits work for spelling and grammar; Varies writing style to meet needs; Presents numerical data effectively; Able to read and interpret written information. • Teamwork - Balances team and individual responsibilities; Exhibits objectivity and openness to others' views; Gives and welcomes feedback; Contributes to building a positive team spirit; Puts success of team above own interests; Able to build morale and group commitments to goals and objectives; Supports everyone's efforts to succeed. • Diversity - Demonstrates knowledge of EEO policy; Shows respect and sensitivity for cultural differences; Educates others on the value of diversity; Promotes a harassment-free environment. • Ethics - Treats people with respect; Keeps commitments; Inspires the trust of others; Works with integrity and ethically; Upholds organizational values. • Organizational Support - Follows policies and procedures; Completes administrative tasks correctly and on time; Supports organization's goals and values; Benefits organization through outside activities; Supports affirmative action and respects diversity. • Judgment - Displays willingness to make decisions; Exhibits sound and accurate judgment; Supports and explains reasoning for decisions; Includes appropriate people in the decision-making process; Makes timely decisions. • Motivation - Sets and achieves challenging goals; Demonstrates persistence and overcomes obstacles; Measures self against the standard of excellence. Planning/Organizing - Prioritizes and plans work activities; Uses time efficiently; Plans for additional resources; Sets goals and objectives; Develops realistic action plans. • Professionalism - Tactfully approaches others; Reacts well under pressure; Treats others with respect and consideration regardless of their status or position; Accepts responsibility for own actions; Follows through on commitments. • Quality - Demonstrates accuracy and thoroughness; Looks for ways to improve and promote quality; Applies feedback to improve performance; Monitors own work to ensure quality. • Adaptability - Adapts to changes in the work environment; Manages competing demands; Changes approach or method to best fit the situation; Able to deal with frequent change, delays, or unexpected events. • Attendance/Punctuality - Is consistently at work and on time; Ensures work responsibilities are covered when absent; Arrives at meetings and appointments on time. • Dependability - Follows instructions, responds to management direction; Takes responsibility for own actions; Keeps commitments; Commits to long hours of work when necessary to reach goals; Completes tasks on time or notifies appropriate person with an alternate plan. • Initiative - Volunteers readily; Undertakes self-development activities; Seeks increased responsibilities; Takes independent actions and calculated risks; Looks for and takes advantage of opportunities; Asks for and offers help when needed. • Innovation - Displays original thinking and creativity; Meets challenges with resourcefulness; Generates suggestions for improving work; Develops innovative approaches and ideas; Presents ideas and information in a manner that gets others' attention. QUALIFICATIONS: To perform this job successfully, an individual must satisfactorily perform each essential duty. The requirements listed below represent the knowledge, skills, and/or abilities required. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. - Bachelor’s degree; or two to three years related experience and/or training; or equivalent combination of education and experience. EDUCATION AND/OR EXPERIENCE: Bachelor’s degree; two to four years related experience and/or training; or equivalent combination of education and experience. LANGUAGE SKILLS: Ability to read and interpret documents such as safety rules, operating and maintenance instructions, and procedure manuals. Ability to write routine reports and correspondence. Ability to speak effectively before groups of customers or employees of an organization. MATHEMATICAL SKILLS: Ability to calculate figures and amounts with basic addition, subtraction, multiplication, and division with accuracy. REASONING ABILITY: Ability to apply common sense understanding to carry out instructions furnished in written, oral, or diagram form. COMPUTER SKILLS: To perform this job successfully, the Human Resources Assistant should possess intermediate skills in Microsoft Office software, including Word, Excel, Outlook, and PowerPoint, and should have working knowledge of applicant tracking systems (ATS); Human Resources systems (HRIS); internet programs; and order processing systems. CERTIFICATES, LICENSES, REGISTRATIONS: Valid Driver's License. OTHER QUALIFICATIONS: Ability to pass a drug screen and criminal background check. Must be able to travel on a limited basis (less than 20%). PHYSICAL DEMANDS: The physical demands described here are representative of those that must be met by an employee to successfully perform the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. While performing the duties of this Job, the employee is regularly required to sit; use hands to finger, handle, or feel; and talk or hear. The employee is frequently required to stand, walk, and reach with hands and arms. The employee is occasionally required to climb or balance; stoop, kneel, crouch, or crawl; and taste or smell. The employee must occasionally lift and/or move up to 25 pounds. Specific vision abilities required by this job include close vision, color vision, the ability to adjust focus, and the ability to see and distinguish basic colors. WORK ENVIRONMENT: The work environment characteristics described here are representative of those an employee encounters while performing the essential functions of this job. Applicants/employees must have the capacity to perform duties without risk to themselves or others. Qualified individuals must be able to perform the job requirements with or without reasonable accommodation. The noise level in the work environment is usually quiet. OTHER TASKS: This job description reflects management’s assignment of essential functions; it does not prescribe or restrict the tasks that may be assigned. Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, pregnancy, genetic information, disability, status as a protected veteran, or any other protected category under applicable federal, state, and local laws. #WaldenWay Pay Rate $50,000—$55,000 USD We offer every employee — from executive managers to administrative support to security professionals — unique and generous benefits, as well as opportunities for career growth. So if you’re ready to embark on a meaningful career with one of the nation’s most dynamic and fastest growing security companies, apply with Walden Security today.", "summaryDescription" : "Human Resources Specialist at Walden Security", "postedDate" : "2026-06-16T03:16:48.446", "createdAt" : "2026-06-16T03:16:48.446", "lastUpdated" : "2026-06-16T12:11:21.467", "ingestTimestamp" : "2026-06-16T03:16:48.446", "mongoId" : "6a309c10f292fd229c0f6af5", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 50000, "salaryAnnualMax" : 55000, "salaryBand" : "50k-75k", "hasSalary" : true, "allSkills" : [ ], "skillCount" : 0, "jobCategory" : "operations", "jobSubcategory" : "hr", "seniorityLevel" : "Mid", "dataQualityScore" : 0.6666667, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Security", "llmIndustryConfidence" : 0.95 }, { "id" : "6a30a2adf292fd229c11e9ad", "title" : "Multi Skilled Maintenance Engineer", "company" : "HelloFresh", "industry" : "Manufacturing", "salary" : { "min" : 55000.0, "max" : 75000.0, "currency" : "GBP", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Lead Multi Skilled Maintenance Engineer in Derby, United Kingdom, adjusted for the Food & Beverage industry and company size." }, "location" : "Derby, England, United Kingdom", "locations" : [ "Derby", "England", "United Kingdom" ], "timestamp" : "2026-06-16T11:37:53.593", "fingerprint" : "66bfa35458861ab9693a011f4c90d7321de8afab416ea480a6f2362203920ffb", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://careers.hellofresh.com/global/en/job/8007182?gh_jid=8007182", "externalId" : "8007182", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Derby", "state" : "England", "country" : "United Kingdom", "continent" : "eu", "source" : "llm", "workMode" : "onsite", "geo" : "52.9142235,-1.4719885" } ], "locationText" : "Derby, England, United Kingdom", "technicalSkills" : "Automation, Controls systems, Sensors, PLCs, Communication protocols, Robotics, HMIs, VFDs", "professionalSkills" : [ "Root cause analysis", "Continuous Improvement" ], "hardSkillsList" : [ "PLC programming", "PLC troubleshooting", "PLC repair", "PLC maintenance", "System diagnostics", "Process monitoring", "Flow analysis", "Capacity visualization" ], "softSkillsList" : [ "Confident communicator", "Mentor" ], "hardSkills" : [ { "name" : "PLC programming", "level" : "intermediate" }, { "name" : "PLC troubleshooting", "level" : "intermediate" }, { "name" : "PLC repair", "level" : "intermediate" }, { "name" : "PLC maintenance", "level" : "intermediate" }, { "name" : "System diagnostics", "level" : "intermediate" }, { "name" : "Process monitoring", "level" : "intermediate" }, { "name" : "Flow analysis", "level" : "intermediate" }, { "name" : "Capacity visualization", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Confident communicator" }, { "name" : "Mentor" } ], "majorSkills" : "Automation, Controls systems, Maintenance engineering, PLCs", "majorSkillsList" : [ "Automation", "Controls systems", "Maintenance engineering", "PLCs" ], "coreResponsibilities" : "Monitor systems, Fault find systems, Repair systems, Perform preventive maintenance, Perform routine inspections, Troubleshoot out of service equipment, Correct equipment issues, Act as escalation point, Escalate to leadership, Escalate to vendors, Document all work, Mentor maintenance personnel, Develop maintenance personnel knowledge, Partner with engineering on commissioning, Audit vendor work, Write PMs, Modify PMs", "teamCollaboration" : "Facilities and maintenance teams; Colleagues; Engineering; Vendors; Junior engineers; Senior automation engineers", "projectManagementSkills" : [ "CI initiatives" ], "domainKnowledge" : "Manufacturing environment; Production environment; FMCG; Material handling systems; Automation; Controls; Robotics", "domainList" : [ "manufacturing-environment", "production-environment", "fmcg", "material-handling-systems", "automation", "controls", "robotics" ], "domainSpecificKnowledge" : [ "Manufacturing environment", "Production environment", "FMCG", "Material handling systems", "Automation", "Controls", "Robotics" ], "toolProficiency" : [ "CMMS", "Ticketing systems", "DIQ", "WMS" ], "communicationSkills" : "Technical manuals; Engineering drawings; Schematics", "documentationSkills" : "Document all work", "continuousLearning" : "Develop appropriate skill sets; Develop knowledge of equipment", "problemSolvingSkills" : "Root cause analysis; Troubleshooting", "specialRequirements" : "Rotating days and nights, DBS checks", "outcomesObjectives" : "Provide high level of equipment availability; Improve reliability of systems", "qualificationsBasic" : "Qualified or solid practical understanding in Mechatronics, Electrical & Electronic, Mechanical, or Manufacturing Engineering, Experienced in Automation, Mechanical, or Maintenance Engineering, Proficient in PLC-controlled systems and automated processes, Comfortable interpreting technical manuals, engineering drawings, and schematics, Skilled in reactive and preventative maintenance, Adept in material handling systems, Experienced in leading Root Cause Analysis, Familiar with DIQ and WMS systems, Independent right to work in the UK", "qualificationsPreferred" : "Experience ideally within a manufacturing or production environment, Track record of handling second-line escalations, Exposure to flow analysis, capacity visualization, and process monitoring, Coaching junior engineers, Stepping in as proxy for senior automation engineers, Supporting CI initiatives", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Job Title: Multi Skilled Maintenance Engineer Location: Smart parc, Spondon, Derby DE21 7HW Shift: Suez Shift Pattern rotating days and nights, 0600-1800 and 1800-0600. Let's Discuss What's On The Table For You: 70% off HelloFresh or Green Chef boxes Free onsite parking (including ~90 EV spaces) Gym membership Bupa private medical insurance (including dental & family cover options) Nursery support scheme (save up to 40% on your nursery fees) Earn up to £500 with our Referral Program Electric vehicle scheme Cycle to work scheme Group Life Assurance Company pension scheme Mental health first aiders and an employee assistance programme Play a key part in supporting our Employee Resource Groups: FreshVets, Black Heritage Network, NEU Network (Neurodiversity), GET (Gender Equality Team) and FreshPride About The Team: As a Multi Skilled Maintenance Engineer you will be the site Subject Matter Expert (SME) within the team, for all controls systems, maintenance engineering, sensors, PLCs, communication protocols, and automation for the site. You will work with the facilities and maintenance teams and colleagues to maintain and repair conveyance, automation and facilities equipment to support operations uptime and improve reliability of our systems. What You Will Be Doing: Work in a hands-on manner to actively monitor, fault find and repair systems in order to provide a high level of equipment availability to internal customers. Perform preventive maintenance and routine inspections on assigned automation, robotics and control panels. Perform troubleshooting of assigned out of service equipment and correct issues, act as an escalation point for lower level technicians, and escalate to leadership and/or vendors as needed for additional troubleshooting. Document all work in the computerized maintenance management system (CMMS) and ticketing systems as appropriate. Mentor all maintenance personnel in developing appropriate skill sets and knowledge of equipment specializing in automation, controls and robotics. Lead root cause analysis of major downtime events. Act as a network resource for technical issues and lead network-wide root cause analysis. Develop maintenance personnel knowledge on intermediate to advanced automation, controls and robotics. Partner with engineering on commissioning of new controls systems. Audit vendor work to provide feedback to leadership on quality of work and SLA performance. Write and/or modify PMs to standardize across the network and increase effectiveness. Who You Are: Qualified or Solid practical understanding in Mechatronics, Electrical & Electronic, Mechanical, or Manufacturing Engineering Experienced in Automation, Mechanical, or Maintenance Engineering, ideally within a manufacturing or production environment such as FMCG. Proficient in PLC-controlled systems and automated processes, including programming, troubleshooting, repair, and maintenance of PLCs, HMIs, VFDs, and related control systems. Comfortable interpreting technical manuals, engineering drawings, and schematics to support diagnostics and solutions. Skilled in both reactive and preventative maintenance, with a track record of handling second-line escalations and completing CMMS (Computerized Maintenance Management System) tasks. Adept in material handling systems, with exposure to flow analysis, capacity visualization, and process monitoring. A confident communicator and mentor, capable of coaching junior engineers and stepping in as proxy for senior automation engineers when required. Experienced in leading Root Cause Analysis, supporting CI (Continuous Improvement) initiatives, and familiar with DIQ and WMS systems. To be considered for this role, you’ll need to have the independent right to work in the UK, as we're unfortunately unable to provide sponsorship at this time. Next steps: Your application will be reviewed and if successful, a member of the Talent Acquisition Team will be in touch within 2 weeks. You are required to cooperate with HelloFresh in all health and safety matters. You are responsible for ensuring you take reasonable care of your own health, and safety as well as others who may be affected by the work activities you undertake. You must report incidents immediately and actively raise health and safety-related concerns to your Line Manager. As part of our commitment to maintaining a safe and secure environment, we will process Disclosure and Barring Service (DBS) checks to the successful individual. Failure to disclose relevant information at application or throughout the process could affect your employment with the company. If you are currently a HelloFresh employee, please make sure you have discussed your application with your Line Manager.", "summaryDescription" : "Multi Skilled Maintenance Engineer at HelloFresh. Skills: Automation, Controls systems, Maintenance engineering, PLCs. Monitor systems. Fault find systems", "postedDate" : "2026-06-16T03:17:25.088", "createdAt" : "2026-06-16T03:17:25.088", "lastUpdated" : "2026-06-16T11:37:53.593", "ingestTimestamp" : "2026-06-16T03:17:25.088", "mongoId" : "6a30a2adf292fd229c11e9ad", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "50k-75k", "hasSalary" : false, "allSkills" : [ "PLC programming", "PLC troubleshooting", "PLC repair", "PLC maintenance", "System diagnostics", "Process monitoring", "Flow analysis", "Capacity visualization", "Confident communicator", "Mentor", "Automation", "Controls systems", "Maintenance engineering", "PLCs", "Root cause analysis", "Continuous Improvement", "CI initiatives", "Manufacturing environment", "Production environment", "FMCG", "Material handling systems", "Controls", "Robotics", "CMMS", "Ticketing systems", "DIQ", "WMS" ], "skillCount" : 27, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Lead", "dataQualityScore" : 0.7777778, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Food & Beverage", "llmIndustryConfidence" : 0.95 }, { "id" : "6a305788f292fd229cf3ad87", "title" : "Human Resources Representative", "company" : "HDR", "salary" : { "min" : 55000.0, "max" : 75000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Junior Human Resources Representative in Raleigh, United States, adjusted for the engineering industry and company size." }, "location" : "United States-North Carolina-Raleigh", "locations" : [ "United States-North Carolina-Raleigh" ], "timestamp" : "2026-06-16T07:59:34.851", "fingerprint" : "76f809133b322f64a010f64693d6fb4f2916cee459ed6e05275e7fc290abd896", "source" : "taleo", "language" : "en", "applyUrl" : "https://hdr.taleo.net/careersection/ex/jobdetail.ftl?job=785413", "externalId" : "785413", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Raleigh", "state" : "North Carolina", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "35.7803977,-78.6390989" } ], "locationText" : "Raleigh, North Carolina, United States", "employmentType" : "FULL_TIME", "professionalSkills" : [ "Talent management", "Employee relations", "HR processes", "Organizational development" ], "hardSkillsList" : [ "HRIS entries", "I-9 documentation", "Affirmative Action Plans" ], "hardSkills" : [ { "name" : "HRIS entries", "level" : "intermediate" }, { "name" : "I-9 documentation", "level" : "intermediate" }, { "name" : "Affirmative Action Plans", "level" : "intermediate" } ], "majorSkills" : "Employee engagement, New hire orientation, Employee records", "majorSkillsList" : [ "Employee engagement", "New hire orientation", "Employee records" ], "coreResponsibilities" : "Assist local Raleigh office, Assist corporate HR Department, Conduct new hire orientation, Assist with new hire paperwork, Verify I-9 documentation, Create employment requisitions, Coordinate interview schedules, Assist with documentation of recruiting plans, Coordinate immigration information, Coordinate Internship Program, Conduct offboarding, Process terminations, Maintain employee records, Process personnel transactions, Provide HR customer service, Respond to employee requests, Respond to manager requests, Provide support for Affirmative Action Plans, Run reports of HR data, Analyze HR data, Perform HR audits, Review employee system queries, Assist with performance review process, Plan service anniversary celebrations, Coordinate interviews, Coordinate presentations, Coordinate meetings, Coordinate conference calls, Complete administrative functions, Perform record-keeping, Perform file maintenance, Make photocopies, Draft emails, Send emails, Maintain confidentiality of HR files, Maintain confidentiality of HR records, Maintain confidentiality of employee information, Assist with special projects, Perform other duties as needed", "teamCollaboration" : "Partner with area", "domainKnowledge" : "HDR policies; 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In the role of Human Resources Representative, we'll count on you to: Have a passion for working with people and a focus on employee engagement Assist the local Raleigh office, NC area, and corporate HR Department with a variety of HR-related tasks Conduct an engaging new hire orientation, assist with the completion of new hire paperwork, and verify I-9 documentation Create employment requisitions, coordinate interview schedules, assist with documentation of annual recruiting plans, and coordinate immigration information with Immigration Partner with the area to coordinate the Internship Program Conduct offboarding and processing of terminations Use corporate systems to maintain employee records and process personnel transactions Provide excellent HR customer service for employee and manager requests and questions related to company policies, procedures, benefits, hiring, etc. Comple Affirmative Action Plans Provide support for running reports and analysis of a variety of HR data and audits Demonstrate knowledge of HDR policies and procedures Understand basic HDR benefit plan provisions, assist with employees’ benefit-related questions of moderate complexity, and refer complex questions to Corporate Benefits Review employee system queries periodically for accuracy of information Assists with the annual performance review process Plan and direct service anniversary celebrations with local offices Schedule and coordinate interviews, presentations, meetings and conference calls Complete administrative functions such as record-keeping, file maintenance, HRIS entries, making photocopies, and drafting and sending emails Maintains the integrity and confidentiality of human resource files, records, and sensitive employee information Assist with special projects Must be able to work in the downtown Raleigh office to support managers and employees Ability to travel around 3 times a year for team building, training, and conferences Perform other duties as needed Preferred Qualifications Associate's or bachelor's degree in relevant field 1-3 years of relevant experience Local candidates preferred", "summaryDescription" : "Human Resources Representative at HDR. 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Skills: Employee engagement, New hire orientation, HR customer service. Assist local Raleigh office. Assist corporate HR Department", "createdAt" : "2026-06-15T23:08:08.795", "lastUpdated" : "2026-06-16T05:55:54.026", "ingestTimestamp" : "2026-06-15T23:08:08.795", "mongoId" : "6a305763f292fd229cf3929a", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 55000, "salaryAnnualMax" : 75000, "salaryBand" : "50k-75k", "hasSalary" : true, "allSkills" : [ "I-9 documentation", "HRIS entries", "Record-keeping", "File maintenance", "Personnel transactions", "Employee engagement", "New hire orientation", "HR customer service", "Talent management", "Employee relations", "HR processes", "Organizational development", "HDR policies", "HDR procedures", "HDR benefit plan provisions", "Corporate systems", "HRIS" ], "skillCount" : 17, "jobCategory" : "operations", "jobSubcategory" : "hr", "seniorityLevel" : "Junior", "dataQualityScore" : 0.7777778, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Engineering", "llmIndustryConfidence" : 0.95 }, { "id" : "6a305764f292fd229cf3937e", "title" : "Human Resources Representative", "company" : "HDR", "salary" : { "min" : 54000.0, "max" : 72000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Junior Human Resources Representative in Raleigh, United States, adjusted for industry and company size." }, "location" : "United States-North Carolina-Raleigh", "locations" : [ "United States-North Carolina-Raleigh" ], "timestamp" : "2026-06-16T09:14:57.318", "fingerprint" : "7d7e42b060dec6415b693bfd9bad08c524b07890c0320305f242f5a42341b333", "source" : "taleo", "language" : "en", "applyUrl" : "https://hdr.taleo.net/careersection/ex/jobdetail.ftl?job=785413", "externalId" : "785413", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Raleigh", "state" : "North Carolina", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "35.7803977,-78.6390989" } ], "locationText" : "Raleigh, North Carolina, United States", "employmentType" : "FULL_TIME", "professionalSkills" : [ "Talent management", "Employee relations", "HR processes", "Organizational development" ], "hardSkillsList" : [ "HRIS entries", "Record-keeping", "File maintenance", "I-9 documentation", "Affirmative Action Plans" ], "hardSkills" : [ { "name" : "HRIS entries", "level" : "intermediate" }, { "name" : "Record-keeping", "level" : "intermediate" }, { "name" : "File maintenance", "level" : "intermediate" }, { "name" : "I-9 documentation", "level" : "intermediate" }, { "name" : "Affirmative Action Plans", "level" : "intermediate" } ], "majorSkills" : "Employee engagement, New hire orientation, HR customer service", "majorSkillsList" : [ "Employee engagement", "New hire orientation", "HR customer service" ], "coreResponsibilities" : "Assist local Raleigh office, Assist corporate HR Department, Conduct new hire orientation, Assist with new hire paperwork, Verify I-9 documentation, Create employment requisitions, Coordinate interview schedules, Assist with documentation of recruiting plans, Coordinate immigration information, Coordinate Internship Program, Conduct offboarding, Process terminations, Maintain employee records, Process personnel transactions, Provide HR customer service, Respond to employee requests, Respond to manager requests, Assist with Affirmative Action Plans, Run reports, Analyze HR data, Perform HR audits, Review employee system queries, Assist with performance review process, Plan service anniversary celebrations, Coordinate interviews, Coordinate presentations, Coordinate meetings, Coordinate conference calls, Complete administrative functions, Make photocopies, Draft emails, Send emails, Maintain confidentiality of HR files, Maintain confidentiality of HR records, Maintain confidentiality of employee information, Assist with special projects, Perform other duties as needed", "teamCollaboration" : "Partner with area", "domainKnowledge" : "HDR policies; HDR procedures; HDR benefit plan provisions", "domainList" : [ "hdr-policies", "hdr-procedures", "hdr-benefit-plan-provisions" ], "domainSpecificKnowledge" : [ "HDR policies", "HDR procedures", "HDR benefit plan provisions" ], "toolProficiency" : [ "Corporate systems", "HRIS" ], "communicationSkills" : "Drafting emails; Sending emails", "documentationSkills" : "Documentation of recruiting plans; Maintain employee records; Maintain HR files; Maintain HR records", "continuousLearning" : "Training", "specialRequirements" : "Travel 3 times a year", "qualificationsBasic" : "Ability to work in downtown Raleigh office", "qualificationsPreferred" : "Associate's degree, Bachelor's degree, 1-3 years relevant experience, Local candidates preferred", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "At HDR, our employee-owners are fully engaged in creating a welcoming environment where each of us is valued and respected, a place where everyone is empowered to bring their authentic selves and novel ideas to work every day. As we foster a culture of inclusion throughout our company and within our communities, we constantly ask ourselves: What is our impact on the world? Watch Our Story: ' https://www.hdrinc.com/our-story' Each and every role throughout our organization makes a difference in our ability to change the world for the better. Read further to learn how you could help make great things possible not only in your community, but around the world. In the role of Human Resources Representative, we'll count on you to: Have a passion for working with people and a focus on employee engagement Assist the local Raleigh office, NC area, and corporate HR Department with a variety of HR-related tasks Conduct an engaging new hire orientation, assist with the completion of new hire paperwork, and verify I-9 documentation Create employment requisitions, coordinate interview schedules, assist with documentation of annual recruiting plans, and coordinate immigration information with Immigration Partner with the area to coordinate the Internship Program Conduct offboarding and processing of terminations Use corporate systems to maintain employee records and process personnel transactions Provide excellent HR customer service for employee and manager requests and questions related to company policies, procedures, benefits, hiring, etc. Comple Affirmative Action Plans Provide support for running reports and analysis of a variety of HR data and audits Demonstrate knowledge of HDR policies and procedures Understand basic HDR benefit plan provisions, assist with employees’ benefit-related questions of moderate complexity, and refer complex questions to Corporate Benefits Review employee system queries periodically for accuracy of information Assists with the annual performance review process Plan and direct service anniversary celebrations with local offices Schedule and coordinate interviews, presentations, meetings and conference calls Complete administrative functions such as record-keeping, file maintenance, HRIS entries, making photocopies, and drafting and sending emails Maintains the integrity and confidentiality of human resource files, records, and sensitive employee information Assist with special projects Must be able to work in the downtown Raleigh office to support managers and employees Ability to travel around 3 times a year for team building, training, and conferences Perform other duties as needed Preferred Qualifications Associate's or bachelor's degree in relevant field 1-3 years of relevant experience Local candidates preferred", "summaryDescription" : "Human Resources Representative at HDR. Skills: Employee engagement, New hire orientation, HR customer service. Assist local Raleigh office. Assist corporate HR Department", "createdAt" : "2026-06-15T23:08:08.106", "lastUpdated" : "2026-06-16T09:14:57.318", "ingestTimestamp" : "2026-06-15T23:08:08.106", "mongoId" : "6a305764f292fd229cf3937e", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 54000, "salaryAnnualMax" : 72000, "salaryBand" : "50k-75k", "hasSalary" : true, "allSkills" : [ "HRIS entries", "Record-keeping", "File maintenance", "I-9 documentation", "Affirmative Action Plans", "Employee engagement", "New hire orientation", "HR customer service", "Talent management", "Employee relations", "HR processes", "Organizational development", "HDR policies", "HDR procedures", "HDR benefit plan provisions", "Corporate systems", "HRIS" ], "skillCount" : 17, "jobCategory" : "operations", "jobSubcategory" : "hr", "seniorityLevel" : "Junior", "dataQualityScore" : 0.7777778, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Engineering", "llmIndustryConfidence" : 0.95 } ], "status" : 200, "message" : "postdoctoral researcher human genetics proteomics and multi omics for drug target discovery jobs", "metadata" : { "title" : "postdoctoral researcher human genetics proteomics and multi omics for drug target discovery" }, "pagination" : { "page" : 0, "limit" : 50, "totalCount" : 30032, "totalPages" : 601, "hasNext" : true, "hasPrevious" : false } }

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