Senior Software Engineer, X-Scientist Xaira TherapeuticsSenior Software Engineer, X-ScientistCaliforniaThis role spans backend systems, APIs, tool-calling infrastructure, workflow orchestration, developer-facing SDKs and CLIs, and agentic interfaces that help scientists run analyses, inspect intermediate steps, and iterate on results. You will collaborate closely with AI scientists, engineers, platform teams, and drug discovery experts to build systems that connect AI models, biological tools, datasets, and scientific workflows.
NewComputational Genomics Research Scientist Vertex PharmaceuticalsComputational Genomics Research ScientistBoston, Massachusetts$112,000–$168,000 / yearThis Boston-based position is part of the global Data and Computational Sciences organization and will collaborate closely with research teams spanning stem cell biology, immunology, gene editing, and pre-clinical development to design studies, execute and analyze complex genomic analyses, and ultimately generate biological insights that drive early research across multiple disease programs. As an embedded computational scientist, you willbe responsible for performingbulk and single-cell sequencinganalyses, spatial transcriptomics, andmultiomicprofiling to help uncover the molecular programs that govern therapeutic cell identity, differentiation, function, and safety to accelerate the development of next-generation cell and gene therapies.
Senior Clinical Data Scientist UnlearnSenior Clinical Data ScientistSan Francisco, CaliforniaCollaborate closely with cross-functional teams of data scientists, machine learning scientists, engineers, and clinicians to design, build, and maintain robust data products grounded in sound data organization, domain knowledge, and careful analysis. Working in close collaboration with machine learning scientists, engineers, clinical scientists, and product partners, they transform complex clinical data into high-quality, well-understood datasets tailored for modeling and other downstream applications.
Executive Director Translational Sciences Acadia Pharmaceuticals IncExecutive Director Translational SciencesSan Francisco, CA$269,400–$336,800 / yearKey Skills: Strong cross-functional leadership with a proven ability to build collaborative, high-performing teams and represent nonclinical sciences across Translational Sciences and program teams. The position requires deep experience in translational sciences, proven leadership and mentoring skills, hands-on rare disease experience, strong understanding of clinical biomarker development, and a deep understanding of drug development from discovery through late-stage clinical studies.
Clinical Data Scientist UnlearnClinical Data ScientistSan Francisco, CaliforniaCollaborate closely with cross-functional teams of data scientists, machine learning scientists, engineers, and clinicians to design, build, and maintain robust data products grounded in sound data organization, domain knowledge, and careful analysis. Working in close collaboration with machine learning scientists, engineers, clinical scientists, and product partners, they transform complex clinical data into high-quality, well-understood datasets tailored for modeling and other downstream applications.
Principal Data Scientist - Immunology - (2 Positions) Johnson & JohnsonPrincipal Data Scientist - Immunology - (2 Positions)Titusville, NJRemote$117,000–$201,250 / yearAll Job Posting Locations: Cambridge, Massachusetts, United States of America, Raritan, New Jersey, United States of America, San Diego, California, United States of America, Spring House, Pennsylvania, United States of America, Titusville, New Jersey, United States of America. Work with Data Science & Digital Health colleagues, IT and DevOps teams to deploy and manage the graph database infrastructure, focusing on high availability, scalability, and recovery operations specifically geared toward Immunology R&D needs and applications.
Senior Scientist In ML Methods For Spatial Biology Bristol Myers SquibbSenior Scientist In ML Methods For Spatial BiologyPrinceton, NJ$148,210–$179,601 / 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. Based on eligibility*, additional time off for employees may include unlimited paid sick time, up to 2 paid volunteer days per year, summer hours flexibility, leaves of absence for medical, personal, parental, caregiver, bereavement, and military needs and an annual Global Shutdown between Christmas and New Years Day.
UNIV - Open Rank - Department of Pharmacology and Immunology Medical University of South CarolinaUNIV - Open Rank - Department of Pharmacology and ImmunologyCharleston, South CarolinaThe department hosts internationally recognized laboratories working on translational and clinical multiomic spatialomics by mass spectrometry imaging integrating transcriptomics with metabolomics, lipidomics, glycomics and proteomics centered on immunology and therapeutics. The successful candidate will also have opportunities to contribute to the department’s vision of building a data-driven research ecosystem that integrates computational modeling, systems biology, and experimental discovery to accelerate therapeutic innovation in pharmacology and immunology.
Senior Scientist, Modeler Johnson & JohnsonSenior Scientist, ModelerMalvern, PAThe successful candidate will collaborate closely with scientists, engineers, data and automation partners, Digital Twin leads, and project teams to identify high-value modeling use cases, translate scientific questions into model-based workflows, and deliver interpretable outputs that support Cell and Gene Therapy development strategies. Qualifications/Requirements: Education: A minimum of a BS degree in a core science or engineering field, including biology, chemistry, chemical/biochemical engineering, biomedical engineering, physics, bioinformatics, data science, applied mathematics, or a related discipline, with at least 4 years of relevant experience; OR an MS or equivalent with at least 2 years of relevant experience; OR a PhD or equivalent with 0-1 year of relevant experience is required.
Associate Research Scientist – Molecular Biology VIRSCIO, INC.Associate Research Scientist – Molecular BiologyNew Haven, CTThe Associate Research Scientist position is responsible for designing, performing, and analyzing molecular biology experiments with a focus on single-cell sequencing, spatial transcriptomics, ddPCR, qPCR, western-blot, and related techniques . Molecular Assay Execution : Conduct hands-on benchwork for molecular studies, ensuring high technical reproducibility and data integrity in nucleic acid quantification, gene expression profiling, and biomarker discovery.
Research Scientist/Engineer 3 University of WashingtonResearch Scientist/Engineer 3Seattle, WashingtonProvide the biostatistical/data science expertise and leadership in study design, study oversight, data management, data analysis and manuscript preparation to assist all levels of biomedical investigators and clinicians on new research activities across a wide range of disciplines. The role involves processing, quality control, and interpretation of spatially resolved gene expression data to understand disease mechanisms in diabetic kidney disease and obesity-related kidney disease.
Biologicial Data Analyst Staffed4UBiologicial Data AnalystChantilly, VirginiaYou'll have the opportunity to work alongside experts in computational science, leverage cutting-edge analytical tools, and contribute directly to projects that help address complex defense and government challenges while continuing to grow your technical expertise. Working as part of a multidisciplinary technical team, you will analyze complex genomic and biological datasets, develop computational workflows, and deliver actionable insights that inform mission-critical decision-making.
Scientist/Senior Scientist, Computational Biology VolastraScientist/Senior Scientist, Computational BiologyNew York, NY$140,000–$180,000 / yearRESPONSIBILITIES: Lead bioinformatics analyses across discovery sciences and translational sciences, including RNA-seq, single-cell RNA-seq, whole-exome sequencing, whole-genome sequencing, copy number, mutation, structural variant, CRISPR screen, proteomic, or other omics datasets as appropriate. This person will build and apply rigorous analyses of genomic, transcriptomic, functional genomic, and clinical-translational datasets to identify vulnerabilities, prioritize targets, nominate biomarkers, and connect preclinical findings to patient populations.
Associate Scientist / Scientist I, Computational Test Development PrecedeAssociate Scientist / Scientist I, Computational Test DevelopmentBoston, MassachusettsWe are pioneering an advanced, minimally invasive, comprehensive epigenomics platform with the potential to profoundly impact the research and development of new medicines and the use of approved medicines in clinical practice across a number of conditions, including cancer. MSc in computational biology, bioinformatics, biostatistics, or a closely related quantitative field with 3–4 years of industry or post-graduate research experience in a data-intensive biological or biomedical setting, Ph.
Staff Scientist Fred Hutchinson Cancer CenterStaff ScientistSeattle, Washington$84,406–$191,755 / yearFull timeWith a track record of global leadership in bone marrow transplantation, HIV/AIDS prevention, immunotherapy and COVID-19 vaccines, Fred Hutch has earned a reputation as one of the world’s leading cancer, infectious disease and biomedical research centers. The project will interface with clinical and laboratory investigators involved in the management of prostate cancer, and researchers developing bioinformatics methods that exploit AI technologies in the Fred Hutch Data Science Lab.
Bioinformaticist - Neurology Washington University in St LouisBioinformaticist - NeurologySt. Louis, MO$55,200–$100,000 / yearThis position will support projects spanning multiple omics technologies, including spatial proteomics and transcriptomics, bulk transcriptomics, single-cell and single-nucleus RNA sequencing, proteomics, epigenomics, and whole-exome/genomic sequencing. Skills: Analytical Thinking, Big Data Processing, Bioinformatics Tools, Communication, Complex Data Analysis, Computational Biology, Critical Reasoning, Data Management, Discrete Mathematics, Group Problem Solving, Java (Programming Language), Machine Learning (ML), Perl Programming, Probabilistic Modeling, Python (Programming Language), Statistics.
Data Scientist II, Outcomes Research Tempus AIData Scientist II, Outcomes ResearchChicago, IllinoisThe Outcomes Research team partners with external Pharma, biotech, and academic institutions to provide best-in-class data, analysis, and methodological guidance for Tempus’s real-world data (RWD) offering. Lead and execute HEOR and real-world evidence (RWE) projects (e.g., outcomes analysis, treatment patterns, healthcare resource utilization) with external Pharma, academic, and other partners.
Scientist, Large Libraries cradleScientist, Large LibrariesAmsterdam, NYYou will push beyond established protocols and develop methods to interrogate vast sequence-function landscapes, generating massive-scale datasets with >10^6 data points. Designing and optimizing proteins takes a lot of expert knowledge and manual effort, through the use of custom computational and biological tools.
Forward Deployed Research Scientist (Biology) GoodfireForward Deployed Research Scientist (Biology)San Francisco, CaliforniaProject delivery and implementation – own research delivery on high-stakes projects with customers and do whatever it takes to make delivery successful, including: problem and hypothesis definition, data sourcing, tool building, iteration, and implementation. Treating models as black boxes is an unnecessary handicap—we have access to the structures inside them, and understanding those structures lets us steer what models learn, make them safer and more useful, and extract the vast knowledge they contain.
Microbiome Computational Scientist Mass General BrighamMicrobiome Computational ScientistBoston, MassachusettsWith 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. Applications 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.