Post-Doctoral Research Fellow – gnomAD-LR Mass General BrighamPost-Doctoral Research Fellow – gnomAD-LRBoston, MassachusettsHighly qualified candidates would oversee a long-read genome sequencing (lrGS) project, which aims to leverage technical advances, innovative methods, and transformative lrGS initiatives to develop a population reference database for long-read genomes (gnomAD-LR). The Talkowski Laboratory in the Center for Genomic Medicine (CGM) at Massachusetts General Hospital (MGH), Harvard Medical School, and the Broad Institute is seeking exceptional postdoctoral candidates in computational biology, bioinformatics, and/or statistical genetics.
Senior Data Scientist Bristol Myers SquibbSenior Data ScientistCambridge Crossing, MA$151,280–$183,319 / yearThe role sits at the edge of applied data science and AI engineering: you will design evaluation datasets, build analytical features, prototype models, test agent and retrieval performance, measure product impact, support sandboxed data problem solving, and explain model behavior in ways stakeholders can trust. BMS is an AWS-first engineering environment for these products, and your work will use AWS-aligned data and AI services alongside enterprise-preferred tools such as OpenSearch, Amazon S3 Vectors, Amazon Neptune, PostgreSQL/RDS, LangGraph, LangSmith, and a variety of approved frontier LLM models and APIs.
Principal Data Scientist Formation Bio IncPrincipal Data ScientistBoston, MA$204,500–$267,000 / yearRecognizing that this development bottleneck may ultimately limit the number of new medicines that can reach patients, Formation Bio, founded in 2016 as TrialSpark Inc., has built technology platforms, processes, and capabilities to accelerate all aspects of drug development and clinical trials. Formation Bio partners, acquires, or in-licenses drugs from pharma companies, research organizations, and biotechs to develop programs past clinical proof of concept and beyond, ultimately helping to bring new medicines to patients.
Principal Scientist, Agentic Systems for Pipeline Strategy Flagship Pioneering IncPrincipal Scientist, Agentic Systems for Pipeline StrategyCambridge, MA$179,000–$236,000 / yearThis role will serve as PI''s in-house expert in clinical and commercial strategy, and will lead the codification of therapeutic pipeline strategy as agentic capabilities: translating the judgment that today lives in the heads of senior strategic and translational leaders into autonomous systems that identify, evaluate, and prioritize opportunities to create new medicines at a level of scale and rigor that humans alone cannot achieve. Own the "legitimate patient need" problem end-to-end: define what it means for an agentic tool to identify and value a real, underserved patient need, what a product that addresses it looks like, and build the evaluations, ground-truth sets, and feedback loops that make agent outputs trustworthy enough to inform pipeline decisions.
Post-Doctoral Research Fellow - Gnomad-Lr Brigham and Women's HospitalPost-Doctoral Research Fellow - Gnomad-LrBoston, MA$70,000–$71,750 / yearHighly qualified candidates would oversee a long-read genome sequencing (lrGS) project, which aims to leverage technical advances, innovative methods, and transformative lrGS initiatives to develop a population reference database for long-read genomes (gnomAD-LR). The Talkowski Laboratory in the Center for Genomic Medicine (CGM) at Massachusetts General Hospital (MGH), Harvard Medical School, and the Broad Institute is seeking exceptional postdoctoral candidates in computational biology, bioinformatics, and/or statistical genetics.
Post-Doctoral Research Fellow - gnomAD-LR Brigham and Women's HospitalPost-Doctoral Research Fellow - gnomAD-LRBoston, MAHighly qualified candidates would oversee a long-read genome sequencing (lrGS) project, which aims to leverage technical advances, innovative methods, and transformative lrGS initiatives to develop a population reference database for long-read genomes (gnomAD-LR). The Talkowski Laboratory in the Center for Genomic Medicine (CGM) at Massachusetts General Hospital (MGH), Harvard Medical School, and the Broad Institute is seeking exceptional postdoctoral candidates in computational biology, bioinformatics, and/or statistical genetics.
Discovery Postdoctoral Fellow, saRNA Biology Novartis AGDiscovery Postdoctoral Fellow, saRNA BiologyCambridge, MAThe program is intended for scientists immediately following their PhD training (PhD conferred in 2026 only).Demonstrated record of scientific achievement (publications, presentations, patents, or equivalent)Strong commitment to learning, innovation, and professional developmentStrong experimental background in RNA biology, gene regulation, transcriptional control, epigenetics, oligonucleotide therapeutics, or related areas. Opportunities to present research, publish in leading journals, and build an international scientific networkWe are entering a new era of biomedical research breakthroughs through the convergence of biology, technology, and artificial intelligence tools, and fellows are also supported in engaging with these emerging approaches.
Principal Scientist, Computational Biology Bristol-Myers Squibb CoPrincipal Scientist, Computational BiologyMARemote$166,770–$202,086 / yearIPS conducts applied computational research in areas that include genomic, structural and molecular informatics, computational and systems biology, patient selection and translational biomarker research, and broader fields including knowledge science, epidemiology and machine learning-across the full lifecycle of drug discovery and development and across all therapeutic areas at BMS. Hands on experience analyzing and integrating high-dimensional molecular datasets such as multi-omics (RNA-seq, ATAC-seq, proteomics, ChIP-seq/CUT&RUN), single cell profiling (CITE-seq, scATAC-seq, perturb-seq) and/or spatial profiling to derive novel biological insights.
Pathology Computational Scientist Brigham and Women's HospitalPathology Computational ScientistBoston, MA$93,953.60–$136,739.20 / yearApplications will include forecasting microbial population dynamics in the gut, characterizing the impact of spatial structure of the microbiome, predicting impact of the microbiome on host phenotype, tracking infections in human populations, elucidating microbial metabolism, and discovering functions of uncharacterized microbial metabolites and proteins. With recent funding from the Massachusetts Life Sciences Center, the Lab has built a state-of-the-art compute cluster with extensive GPU and CPU nodes, with the objective of making advanced deep learning technologies broadly available to microbiome researchers.
Research Technology Specialist - Human Nutrition Research Center on Aging Tufts UniversityResearch Technology Specialist - Human Nutrition Research Center on AgingBoston, MassachusettsKnowledge and experience typically acquired by: Bachelor's Degree in biomedical engineering, computer science, data science, electrical engineering, bioinformatics, biostatistics, computational biology, applied mathematics, or a related quantitative or technical field. This position will contribute to data-rich research projects involving human studies, observational cohorts, lifestyle interventions, biomarker analytics, wearable and sensor-derived data, and high-dimensional omics datasets.
Director, Oncology Data Science Merck & Co IncDirector, Oncology Data ScienceBoston, MA$194,100–$305,600 / yearRequired Skills: Bioinformatics, Cancer Genomics, Cancer Research, Computational Biology, Computational Methods, Data Science, Deep Learning, High Dimensional Data Analysis, Immuno-Oncology, Machine Learning (ML), Multimodal Analysis, Oncology, Real World Data, Statistical Learning. Analyze, summarize and visualize the findings from large multi-modal clinico-genomic datasets which include bulk RNAseq, WES/WGS, imaging, epigenetic profiling, single-cell RNAseq, and proteomics data from oncology clinical trials and real-world datasets.
Senior Director, In-Vivo & Non-Clinical Pharmacology, Research Business Insights & Technology Bristol Myers SquibbSenior Director, In-Vivo & Non-Clinical Pharmacology, Research Business Insights & TechnologyCambridge Crossing, MA$252,640–$306,137 / yearThis leader will partner deeply with Research leadership and the Pharmacology, DMPK, Toxicology, and Translational Science units to deliver the applications, workflow capabilities, AI, and supporting data flows that enable non-clinical decisions across in-vivo biology, DMPK, ADME, non-clinical safety, toxicology, and bioanalytical science. Non-clinical pharmacology generates the evidence that determines which candidates enter humans, and this role matters now because scientists need better integrated applications, AI, and workflows to generate, interpret, and act on that evidence with greater speed and confidence.
Post Doc - Open Rank (2026-50341) University of MassachusettsPost Doc - Open Rank (2026-50341)Worcester, MAAll Academic Accounting & Finance Administrative Professional Administrative Support Advancement Basic Science Biotechnology Clinical Research Environmental Health & Safety Executive Faculty Healthcare Human Resources Information Technology Interns Library Maintenance and Facilities Management Nursing Office Assistant Other Post Doc Professional Technician I Public Safety Research Residents Retail & Dining Services Staff Assistant Staff Associate Volunteer. Our laboratory combines human pluripotent stem cell differentiation, CRISPR-based (epi-)genome engineering, single-cell multi-omics, immunology, and computational biology to identify mechanisms that protect stem cell-derived islets from autoimmune and allogeneic immune responses while preserving beta-cell identity and function.
Computational Biologist I Foundation Medicine IncComputational Biologist IBoston, MA$112,560–$133,000 / yearIn addition to research, this role develops sub-specialization in the data architecture supporting the teams efforts, including pipeline workflow development, cloud-based data storage, and maintaining data quality and integrity. Proficiency in Unix or Unix-like operating systems; proficiency in one or more programming languages such as Python, R, SQL, or similar scientific computing languages; familiarity with other programming or scripting languages.
NewBioinformatician I Brigham and Women's HospitalBioinformatician IBoston, MA$75,275.20–$109,553.60 / yearThe Talkowski Laboratory in the Center for Genomic Medicine at Massachusetts General Hospital (MGH) and the Broad Institute of MIT and Harvard is seeking a highly motivated, enthusiastic Bioinformatics Specialist to work with and support our research group in analyzing sequencing data to identify structural variants within the human genome using genomic population databases and aggregating phenotype and genotype datasets. Working under very general supervision, the Bioinformatics Analyst will have demonstrated independent design and innovation in one or more of the following areas of specialization: algorithm development, data analysis, quality assurance/testing, pipeline software/computing development, user interface design & report development, web-based application development, or report development.
Principal Scientist - CMC Statistician SanofiPrincipal Scientist - CMC StatisticianFramingham, MA$122.25–$176.58 / hourAs part of the development of Sanofi's pharmaceutical products, the R&D Data Sciences department and more specifically the Statistics department for the Chemical Manufacturing Control (CMC), CMC Statistics, is responsible for contributing to statistical support, modelling, digitalization, decision-making and filing of new product registration files. Experience: Minimum 3 years (PhD) or 6 years (Master's) of experience as a Statistician in CMC (Chemistry, Manufacturing and Control) studies/activities, industrial statistics, manufacturing, or closely related fields such as cosmetics or food industry.
Biological Structures Data Engineer I/II Iambic TherapeuticsBiological Structures Data Engineer I/IIBoston, MassachusettsWorking alongside ML scientists, you will design, implement, and harden the workflows that prepare experimental structural (e.g., protein–ligand complexes) and affinity data for training, and help create and ingest large volumes of high-quality computationally generated synthetic data. Iambic Therapeutics is seeking a Biological Structures Data Engineer to join the NeuralPLexer team and own the data pipelines for acquiring, curating, and transforming experimental and synthetic data to train the next generation of NeuralPLexer models.
Post Doc - Open Rank University of Massachusetts Medical SchoolPost Doc - Open RankWorcester, MassachusettsOur laboratory combines human pluripotent stem cell differentiation, CRISPR-based (epi-)genome engineering, single-cell multi-omics, immunology, and computational biology to identify mechanisms that protect stem cell–derived islets from autoimmune and allogeneic immune responses while preserving beta-cell identity and function. The successful candidate will lead efforts using CRISPR genome engineering and functional genomics screens to identify regulatory programs and its underlying factors that improve the survival, function, and immune compatibility of stem cell–derived islets.
Vice President, Gene Editing Core Intellia TherapeuticsVice President, Gene Editing CoreCambridge, MA$327,100–$399,900 / yearThis role will develop strategy, implement, and lead state-of-the-art genomics and RNA labs, managing support for a portfolio of projects by developing and implementing gene editing analysis technologies and platforms as well as gene editing component production (sgRNA, mRNA) and will work close together with project teams to drive the organization's discovery projects to development candidates. Collaborates across Platform Innovation and Delivery Innovation to advance novel nucleases, insertion strategies, new technologies, delivery advancements, and develop assays to assess the potential for unintended genomic changes.
Computational Biologist UMass Chan Medical SchoolComputational BiologistWorcester, MAThis position will bridge two complementary areas of research: Molecular systems immunology, involving the analysis of single-cell and spatial transcriptomic, epigenomic, and proteomic datasets to dissect cell states and communication networks in diseased and healthy tissues. Genetic and longitudinal modeling, integrating genomic variation with real-world longitudinal dataincluding proteomics, wearable device metrics, survey responses, and clinical measuresto build predictive and causal models of disease initiation and progression.