NewResearch Scientist AI/ML Foundational Models Takeda PharmaceuticalResearch Scientist AI/ML Foundational ModelsBoston, MASee Takeda Pharmaceutical Terms of Use at https://www.takeda.com/terms-of-use/ and Privacy Policy at https://www.takeda.com/privacy-notice/ and SonicJobs Privacy Policy at https://www.sonicjobs.com/us/privacy-policy and Terms of Use at https://www.sonicjobs.com/us/terms-conditions. The actual base salary offered may depend on a variety of factors, including the qualifications of the individual applicant for the position, years of relevant experience, specific and unique skills, level of education attained, certifications or other professional licenses held, and the location in which the applicant lives and/or from which they will be performing the job.
NewComputational Biologist - Gillani Lab Dana-Farber Cancer Institute IncComputational Biologist - Gillani LabBOSTON, MA$75,000–$91,500 / yearThe qualified candidate will carry out data analysis, develop and support data processing and analysis tools, create new algorithms for emerging clinically focused needs with an emphasis on bulk and single cell tumor analysis, maintain datasets and databases, integrate tools and databases into existing high-throughput pipelines, and facilitate the display and the distribution of processed data. The Computational Biologist will work on the analysis of new and existing genomic datasets to advance efforts in Pediatric Cancer Genomics, with the goal of arriving at new insights around cancer risk, clinical biomarkers, and precision cancer medicine to advance the care of pediatric cancer patients.
Sr Computational Biologist Foundation Medicine IncSr Computational BiologistBoston, MA$145,000–$180,000 / yearThis role leverages multi-modal data, including large scale genomics, real-world clinical outcomes, and imaging datasets, to identify and establish feasibility of novel biomarkers and therapeutic targets. Utilize statistical expertise to explore multimodal data and lead scientific investigations into mechanisms of oncogenesis, prognostic and predictive biomarkers, drug resistance, and disease monitoring.
NewComputational Biologist - Multimodal and Foundation Models for Breast Cancer Dana-Farber Cancer Institute IncComputational Biologist - Multimodal and Foundation Models for Breast CancerBOSTON, MA$75,000–$91,500 / yearThe Computational Biologist may work on many types of projects and areas of research including cancer genomics, functional genomics, immuno-oncology, molecular imaging, data management and integration, and querying biological databases. MINIMUM JOB QUALIFICATIONS: The position requires a bachelor's degree in a STEM field, with a master's degree in bioinformatics, computational biology, statistics, biostatistics, computer science, or life sciences preferred.
NewComputational Biologist Dana-Farber Cancer Institute IncComputational BiologistBOSTON, MA$75,000–$91,500 / yearThe Computational Biologist may work on many types of projects and areas of research including cancer genomics, functional genomics, immuno-oncology, molecular imaging, data management and integration, and querying biological databases. MINIMUM JOB QUALIFICATIONS: The position requires a bachelor's degree in a STEM field, with a master's degree in bioinformatics, computational biology, statistics, biostatistics, computer science, or life sciences preferred.
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.
Associate Computational Biologist Dana-Farber Cancer Institute IncAssociate Computational BiologistBOSTON, MA$60,000–$67,466 / yearThe Computational Biologist may work on many types of projects and areas of research including cancer genomics, functional genomics, immuno-oncology, molecular imaging, data management and integration, and querying biological databases. This will include building genotype-specific RNA expression maps that include aberrant RNA species (ptRNAs and ERV RNAs) and predicting novel open reading frames for interpretation of immunopeptidomic data.
Senior/ Computational Biologist/ ML Scientist Kernal BiologicsSenior/ Computational Biologist/ ML ScientistBoston, MassachusettsDocumentation & Workflow: Meticulously document all computational workflows, experimental results, and analyses in an Electronic Lab Notebook (ELN) such as Benchling and maintain rigorous version control and facilitate collaborative code development using platforms like GitHub. Data Analysis & Modeling: Design and execute rigorous statistical and computational analyses by integrating and analyzing diverse omics datasets, including genomics, transcriptomics, proteomics, and single-cell sequencing data.
Computational Biologist University of Massachusetts Medical SchoolComputational BiologistWorcester, MassachusettsThis 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 data—including proteomics, wearable device metrics, survey responses, and clinical measures—to build predictive and causal models of disease initiation and progression.
Computational Biologist (Lexington, MA, US) MIT Lincoln LaboratoryComputational Biologist (Lexington, MA, US)Lexington, MA$145,200–$170,000 / yearThe final salary offered to a selected candidate will depend on various factors, including—but not limited to—the scope and responsibilities of the role, the candidate’s experience, skills and education/training, internal equity considerations and applicable legal requirements. The Counter-WMD Systems Group at MIT Lincoln Laboratory is seeking a highly motivated and multidisciplinary biologist to support research and development efforts focused on national security challenges.
Tech Staff - Computational Biologist MIT Lincoln LaboratoryTech Staff - Computational BiologistLexington, MA$145,200–$170,000 / yearThe final salary offered to a selected candidate will depend on various factors, including—but not limited to—the scope and responsibilities of the role, the candidate’s experience, skills and education/training, internal equity considerations and applicable legal requirements. The Counter-WMD Systems Group at MIT Lincoln Laboratory is seeking a highly motivated and multidisciplinary biologist to support research and development efforts focused on national security challenges.
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.
Tech Staff - Computational Biologist Lincoln LaboratoryTech Staff - Computational BiologistLexington, MA$145,200–$170,000 / yearThe final salary offered to a selected candidate will depend on various factors, including-but not limited to-the scope and responsibilities of the role, the candidate's experience, skills and education/training, internal equity considerations and applicable legal requirements. The Counter-WMD Systems Group at MIT Lincoln Laboratory is seeking a highly motivated and multidisciplinary biologist to support research and development efforts focused on national security challenges.
Computational Biologist Integrated Resources, IncComputational BiologistCambridge, MassachusettsContractorWork within Epigenetics and collaboratively with other Biogen discovery, translational and clinical scientists to design experiments that probe multiple 'omic dimensions (e.g., transcriptome, proteome, genome, epigenome), to use creative analytical approaches to reveal drug targets and biomarkers, and to generate insights into mechanisms of action. A track record of working collaboratively with teams involved in large-scale data processing and analysis architectures, balancing publicly available toolsets and datasets with targeted internal code development and experimentation.
Computational Biologist (2026-49909) University of MassachusettsComputational Biologist (2026-49909)Worcester, MAAll Academic Accounting & Finance Administrative Professional Administrative Support Advancement 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. This 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.
Scientist, Computational Biology Flagship Pioneering IncScientist, Computational BiologyCambridge, MA$115,000–$165,000 / yearThe successful candidate will be a driven, experienced scientist who is enthusiastic about developing state-of-the-art techniques to pioneer the detection of cellular dynamics from minimally invasive biospecimens. Strong hands-on experience analyzing mass spectrometry-based proteomics data is required; direct experience with raw mass spec data processing, QC, normalization, and feature extraction is strongly preferred.
NewSenior Synthetic Biologist (Manager) CulturaSenior Synthetic Biologist (Manager)Cambridge, MassachusettsDevelop and perform high-throughput pooled and arrayed functional genomic screens using high-dimensional genomic and cell-based functional readouts such as RNA-seq, ATAC-seq, flow cytometry, and high-content cell imaging in a matrix collaborative setting. Manage a team of scientists including bioinformatisticians and synthetic biologists to perform multi-omic discovery, draw meaningful conclusions from data generated and analyzed, and direct synthetic biology workflows from the results.
NewLead Synthetic Biologist CulturaLead Synthetic BiologistCambridge, MassachusettsD. in Biological Engineering, Synthetic Biology, or a related field + 3 years of experience doing research in an academic or industry lab setting, M.S. + 10 years of experience in related field, or B.S. + 13 years of experience in related field. Design, produce, and test novel gene editing constructs using molecular cloning and other techniques based on robust, well-controlled scientific experiments (including plasmid digestion, purification, ligation, transformation, and sequencing).
Data Scientist – Computational Biology Caris Life SciencesData Scientist – Computational BiologyBoston, Massachusetts$125,000–$150,000 / yearWorking closely with machine learning experts, clinicians, and other computational biologists, this position contributes to advancing Caris’ clinical diagnostic platform and impacts hundreds of thousands of patients annually who rely on Caris testing to identify effective therapies from their cancer genomes. Position Summary Caris Life Sciences is seeking a talented Data Scientist – Computational Biology to leverage one of the world’s largest multi‑modal cancer datasets to develop new insights into cancer biology and improve patient outcomes.
Data Scientist - Computational Biology Penfield Search PartnersData Scientist - Computational BiologyWaltham, MAThe ideal candidate has hands-on experience with RNA sequencing data, strong computational biology expertise, and enjoys collaborating closely with experimental scientists to generate biological insights that advance therapeutic discovery. This individual will support drug discovery research by processing, analyzing, visualizing, and interpreting next-generation sequencing (NGS) datasets, with a strong emphasis on transcriptomics and long-read sequencing technologies.
Senior Scientist, AI Computational Structural Biology Bristol-Myers Squibb CoSenior Scientist, AI Computational Structural BiologyMA$148,210–$179,601 / yearRequirements - Technical Skills & Experience: AI/ML & Deep Learning: Proven experience developing and deploying AI/ML models in biological or biochemical contexts, with proficiency in deep learning architectures for structural data (GNNs, equivariant neural networks, transformers, diffusion, flow matching) using Python and relevant libraries (PyTorch, JAX, RDKit, ESM/fair-esm, Biopython, etc.). IPS 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.
Senior/Principal Scientist, Computational Biology Cellular IntelligenceSenior/Principal Scientist, Computational BiologyBoston, MassachusettsWe take a full-stack approach, generating perturbation data at over 1,000x the efficiency of conventional methods, capturing millions of time-resolved treatment combinations per experiment, and training large-scale models that generalize across contexts to enable rational protocol design for regenerative medicine, context-specific drug effect prediction, and systematic disease modeling. As a Senior Computational Biologist, your core job is to discover novel biological insight from rich biological data across transcriptomic datasets, including data from our own novel microfluidic-based assays and therapeutic programs, and to ground our AI and machine learning efforts in deep expertise in transcriptomics and biology.
Director, Computational Biology Ionis Pharmaceuticals IncDirector, Computational BiologyBoston, MA$157,542–$206,759 / yearWith multiple marketed medicines and a leading pipeline in neurology, cardiology and select areas of high patient needs, we continue to drive innovation in RNA therapies in addition to advancing new approaches in gene editing to provide greater value to patients and are well positioned financially to deliver on our strategic goals. Well-suited candidates will have a systems level approach to understanding biology that harmonizes multiple interacting functional inputs including transcriptional regulation, protein function and larger order (cellular and tissue) biochemical relationships.
Computational Scientist, Assay Development Manifold BioComputational Scientist, Assay DevelopmentBoston, MA$118,000–$138,000 / yearManifold Bio is a platform biotechnology company pioneering AI-guided protein design and massively multiplexed in vivo screening to unlock tissue-targeted medicines and organism-scale models of living systems. Using proprietary molecular barcoding technology, we screen hundreds of thousands of protein designs simultaneously in living systems, producing in vivo-validated datasets at a scale no one else can match.
Associate Director - Computational Biology (Cardiovascular, Metabolic, Obesity And Related) Amgen Inc.Associate Director - Computational Biology (Cardiovascular, Metabolic, Obesity And Related)Cambridge, MA$182,465–$246,865 / yearThe Computational Biology group in the Center for Technology and Innovation (CfTI) within the Precision Medicine organization at Amgen is seeking a highly motivated Computational Biologist with expertise in analyzing clinical biomarker data, including but not limited to metabolomics, genomics, transcriptomics, proteomics, spatial-omics, flow cytometry, immunoassays, and other biomarker assays. In addition to the base salary, Amgen offers a Total Rewards Plan, based on eligibility, comprising of health and welfare plans for staff and eligible dependents, financial plans with opportunities to save towards retirement or other goals, work/life balance, and career development opportunities that may include: A comprehensive employee benefits package, including a Retirement and Savings Plan with generous company contributions, group medical, dental and vision coverage, life and disability insurance, and flexible spending accounts.
Associate Director - Computational Biology (Cardiovascular, Metabolic, Obesity and Related) Amgen IncAssociate Director - Computational Biology (Cardiovascular, Metabolic, Obesity and Related)Cambridge, MA$182,465–$246,865 / yearThe Computational Biology group in the Center for Technology and Innovation (CfTI) within the Precision Medicine organization at Amgen is seeking a highly motivated Computational Biologist with expertise in analyzing clinical biomarker data, including but not limited to metabolomics, genomics, transcriptomics, proteomics, spatial-omics, flow cytometry, immunoassays, and other biomarker assays. In addition to the base salary, Amgen offers a Total Rewards Plan, based on eligibility, comprising of health and welfare plans for staff and eligible dependents, financial plans with opportunities to save towards retirement or other goals, work/life balance, and career development opportunities that may include: A comprehensive employee benefits package, including a Retirement and Savings Plan with generous company contributions, group medical, dental and vision coverage, life and disability insurance, and flexible spending accounts.
Principal Scientist, Computational Designer (Biologics & Peptides) Bayer AGPrincipal Scientist, Computational Designer (Biologics & Peptides)Cambridge, MA$139,840–$209,760 / yearIn this role, you will partner closely with protein engineers, peptide chemists, structural biologists, assay teams, and key discovery partners in antibody or peptide generation and engineering to translate hypotheses into designed sequences and prioritize candidates for experimental testing. Expertise in protein and peptide structure modeling, antibody design, molecular dynamics, free-energy and physics-based scoring, and machine-learning-guided design, including proficiency with state-of-the-art AI tools for co-folding, structure prediction, and de novo binder generation.
Machine Learning Engineer - Computational Drug Discovery 5AM VenturesMachine Learning Engineer - Computational Drug DiscoveryWatertown, MAOur team is dedicated to the development of a broad pipeline of small molecules powered by unique chemistry insights to address a wide range of highly unmet clinical needs. The ideal candidate is comfortable operating across disciplines, takes pride in building reliable systems, and appreciates the opportunity to have a direct impact on scientific decision-making.
Data Scientist Contractor, Computational Biology CAMP4 Therapeutics CorpData Scientist Contractor, Computational BiologyCambridge, MAKey Responsibilities: Process, analyze, visualize, and interpret next-generation sequencing (NGS) datasets, with an emphasis on bulk RNA-seq, scRNAseq, and long-read RNA sequencing, including Nanopore and PacBio sequencing data. CAMP4 is seeking a Data Science Contractor for a 6-month temporary contract assignment, specializing in Computational Biology, Bioinformatics, or Systems Biology, to support the processing, analysis, visualization, and interpretation of next-generation sequencing datasets.
Principal Biologist ProximaPrincipal BiologistBoston, MassachusettsThis is a hands-on role: you'll run select assays in-house, manage CROs, and work closely with our structural proteomics data generation platform and computational teams, helping shape how our platform is applied to proximity-based drug discovery. You'll work across the full discovery arc, from target validation through hit ID, hit-to-lead, and lead optimization, owning the cellular pharmacology data that drives internal pipeline decisions and external partner deliverables.
Computational Biology & Bioinformatics Lead Institute for Protein InnovationComputational Biology & Bioinformatics LeadBoston, MassachusettsThe Institute's deep protein expertise, collaborative spirit and research tools are powering new biomedical and therapeutic discoveries with a growing community of researchers at Harvard Medical School, Boston Children's Hospital and other institutions across Greater Boston and beyond. Founded in 2017 and located in Boston’s Longwood Medical Area, the Institute’s three-pronged strategy is to build protein tools, conduct related internal research and develop educational programs for the protein science and biological research communities.
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.
Computational Theoretical Chemist III 1910Computational Theoretical Chemist IIIBoston, MAStrong understanding of key concepts, including potential energy surfaces (PES), intermolecular and intramolecular forces/interactions, force fields, molecular properties, thermodynamic properties, solvation models (implicit/explicit), and conformational sampling. We are the only AI-native biotech, pioneering small and large molecule therapeutics discovery by integrating massive multimodal data, frontier AI models, and high-throughput lab automation into an infrastructure for AI-enabled drug discovery.
Computational Theoretical Chemist I 1910Computational Theoretical Chemist IBoston, MAStrong understanding of key concepts, including potential energy surfaces (PES), intermolecular and intramolecular forces/interactions, force fields, molecular properties, thermodynamic properties, solvation models (implicit/explicit), and conformational sampling. We are the only AI-native biotech, pioneering small and large molecule therapeutics discovery by integrating massive multimodal data, frontier AI models, and high-throughput lab automation into an infrastructure for AI-enabled drug discovery.
Computational Theoretical Chemist II 1910Computational Theoretical Chemist IIBoston, MAStrong understanding of key concepts, including potential energy surfaces (PES), intermolecular and intramolecular forces/interactions, force fields, molecular properties, thermodynamic properties, solvation models (implicit/explicit), and conformational sampling. We are the only AI-native biotech, pioneering small and large molecule therapeutics discovery by integrating massive multimodal data, frontier AI models, and high-throughput lab automation into an infrastructure for AI-enabled drug discovery.
Senior Scientist - Principal Scientist, Computational Chemistry Superluminal MedicinesSenior Scientist - Principal Scientist, Computational ChemistryBoston, MassachusettsIn this role, you will be the computational engine of our programs, combining physics-based modeling, machine learning and structural biology to generate the quantitative predictions and develop necessary workflows to drive small molecule drug discovery. The Company’s platform aims to create candidate-ready compounds with unprecedented speed using a combination of deep biology, computational and medicinal chemistry, machine learning, and proprietary big data infrastructure.
Principal Scientist/Sr. Principal Scientist, Computational Chemistry & Molecular Design Antares TherapeuticsPrincipal Scientist/Sr. Principal Scientist, Computational Chemistry & Molecular DesignBoston, MassachusettsAs a member of a highly integrated team of medicinal chemists, machine learning scientists, structural biologists, biologists, and chemical biologists, you will apply and advance the full range of modern computational methods — structure- and ligand-based design, molecular dynamics, free energy perturbation (FEP), and machine-learning / generative approaches — to assess and prioritize targets, identify high-quality starting points, and drive lead optimization toward development candidates. Serve as the computational chemistry function lead on programs, providing integrated leadership across target validation, hit identification, hit-to-lead, and lead optimization for multiple small-molecule programs.
Senior Scientist, Computational Biology - Contract Tessera TherapeuticsSenior Scientist, Computational Biology - ContractSomerville, MA$74–$80 / hourHis group supports drug candidate programs through genotoxicity risk assessment, develops computational approaches to study gene writing biology, and builds scalable data and analysis infrastructure to support molecular assay design and knowledge mining. Broad knowledge of genome editing technologies and associated off-target discovery assays (i.e. WGS; targeted sequencing; GUIDE-seq, Digenome-seq discovery / verification; large and small structural variations and translation effects; NGS QC).
AIRx Director, Computational & AI Biologics Design Lead TakedaAIRx Director, Computational & AI Biologics Design LeadBoston, Massachusetts$177,000–$278,080 / yearThis role drives in silico biologics design, applies generative AI and structure-informed methods to antibody and large-molecule programs, and connects Takeda’s internal AI/ML platform capabilities to the day-to-day decisions of a fast-moving drug-hunting team. The actual base salary offered may depend on a variety of factors, including the qualifications of the individual applicant for the position, years of relevant experience, specific and unique skills, level of education attained, certifications or other professional licenses held, and the location in which the applicant lives and/or from which they will be performing the job.
Computational Scientist, Protein Engineering Manifold Bio IncComputational Scientist, Protein EngineeringBoston, MA$118,000–$138,000 / yearManifold Bio is a platform biotechnology company pioneering AI-guided protein design and massively multiplexed in vivo screening to unlock tissue-targeted medicines and organism-scale models of living systems. Using proprietary molecular barcoding technology, we screen hundreds of thousands of protein designs simultaneously in living systems, producing in vivo-validated datasets at a scale no one else can match.
Postdoctoral Fellow - Computational Immunology & Translational Oncology Harvard UniversityPostdoctoral Fellow - Computational Immunology & Translational OncologyBoston, MA$72,000–$77,500 / yearExperience applying machine learning and statistical modeling to biological or clinical datasets, including unsupervised clustering, dimensionality reduction, survival modeling, feature selection, and supervised learning approaches such as random forests, gradient boosting, or Cox regression. Prior research or work experience with cancer immunology, tumor microenvironment analysis, immune cell-state annotation, pathway enrichment, and biomarker discovery, especially in the context of immunotherapy response or tertiary lymphoid structures.
Scientist I / Scientist II, Computational Protein Design Generate BiomedicinesScientist I / Scientist II, Computational Protein DesignSomerville, MassachusettsThe ideal candidate combines deep structural intuition with a demonstrated ability to rapidly assess and apply protein design methods and metrics across diverse design problems, thinks in terms of reusable capabilities, benchmarks, and feedback loops across applications, and uses modern generative models and experimental readouts to guide iterative design cycles across modalities. This role sits at the intersection of machine learning, structural biology, and therapeutic development, where you will stay at the leading edge of internal and external models for de novo protein design and systematically benchmark, integrate, and apply them within tightly integrated design–build–test–learn cycles to advance our therapeutic pipeline and impact patients' lives.
Senior Scientist, Computational Biology - Contract Tessera Therapeutics IncSenior Scientist, Computational Biology - ContractSomerville, MA$74–$80 / hourHis group supports drug candidate programs through genotoxicity risk assessment, develops computational approaches to study gene writing biology, and builds scalable data and analysis infrastructure to support molecular assay design and knowledge mining. Broad knowledge of genome editing technologies and associated off-target discovery assays (i.e. WGS; targeted sequencing; GUIDE-seq, Digenome-seq discovery / verification; large and small structural variations and translation effects; NGS QC).
Scientist I / Scientist II, Computational Protein Generation Generate Biomedicines IncScientist I / Scientist II, Computational Protein GenerationSomerville, MA$140,000–$200,000 / yearThe ideal candidate combines deep structural intuition with a demonstrated ability to rapidly assess and apply protein design methods and metrics across diverse design problems, thinks in terms of reusable capabilities, benchmarks, and feedback loops across applications, and uses modern generative models and experimental readouts to guide iterative design cycles across modalities. This role sits at the intersection of machine learning, structural biology, and therapeutic development, where you will stay at the leading edge of internal and external models for de novo protein design and systematically benchmark, integrate, and apply them within tightly integrated design-build-test-learn cycles to advance our therapeutic pipeline and impact patients' lives.
Senior Software Engineer - Computational Platform Dyno Therapeutics IncSenior Software Engineer - Computational PlatformWatertown, MA$154,084.36–$200,309.67 / yearOur team unites world-class molecular biologists, protein engineers, software developers, data scientists, and machine learning experts-all working together at the intersection of AI and genetic medicine. This role is for someone eager to build and scale complex software products that put Dyno's breakthrough genetic medicine capabilities in the hands of scientists and partners both internally and around the world.
Bioinformatics Scientist - III (Senior) Johnson Service GroupBioinformatics Scientist - III (Senior)Cambridge, MARequired Experience and Skills:PhD (or equivalent) in statistical genetics, genetic epidemiology, population genetics, computational biology, bioinformatics, biostatistics, epidemiology, or a related quantitative discipline, with a minimum of 5 year of postdoctoral or equivalent research experience in complex disease genetics. The CDG group leverages large-scale data resources, such as FinnGen, the Alliance for Genomic Discovery, Our Future Health, UK Biobank Pharma Proteomics Project, Open Targets, and other public and proprietary datasets, to advance Mercks drug development pipeline through human genetics.
NewApplied Bioinformatics Engineer, Pipelines & AI Eli Lilly and CoApplied Bioinformatics Engineer, Pipelines & AIBoston, MA$166,500–$266,200 / yearOur current groups include: Africa, Middle East, Central Asia (AMECA), Black Employees at Lilly (BE@Lilly), Chinese Culture Network (CCN), EnAble, Evolve, Lilly Indian Network (LIN), Organization of Latinx at Lilly (OLA), Pride (LGBTQ+ Allies), Veterans Leadership Network (VLN) and Women's Initiative for Leading at Lilly (WILL). Our work spans multiple omics workflows, including target discovery and target due diligence, single cell sequencing, genomics, proteomics and, increasingly, AI-assisted workflows that pull these analyses together into faster, more reproducible products for therapeutic area partners across Lilly Research Labs.
Sr. Bioinformatics Scientist Foundation Medicine IncSr. Bioinformatics ScientistBoston, MA$145,300–$170,000 / yearKey Responsibilities: Lead efforts to improve the consistency of how biomarker rules are defined and formatted including: Define the process of intaking/organizing new biomarkers and manage the process moving forward; Provide biomarker definitions and rules; Work with other functional teams to implement new biomarkers in our pipeline; Gather biomarker requirements from partners and perform gap analyses supported by the other functional team; Maintain an accounting of all biomarker rules (definition, partner/program, description of implementation); Solicit feedback and communicate biomarker definitions/rules and biomarker analysis results within FMI and to external stakeholders. The incumbent mentors or supervises junior staff, builds and maintains strong collaboration with other teams across the organization to implement biomarkers for biopharma partners, and executes and presents data query results of large genomics, clinical, and processed datasets to inform biomarker development and assay validation.
Bioinformatics Scientist Vivo HealthStaffBioinformatics ScientistBoston, MA$170,000–$190,000 / yearFull timeEvery team member plays a crucial role in driving the future of biotech research, building the world's most efficient sequencing engine that operates overnight and scales globally. This role is heavily bioinformatics-focused, emphasizing deep domain expertise and the building of scalable products over general software platform skills.
Senior Bioinformatics Scientist Cellular IntelligenceSenior Bioinformatics ScientistBoston, MassachusettsWe take a full-stack approach, generating perturbation data at over 1,000x the efficiency of conventional methods, capturing millions of time-resolved treatment combinations per experiment, and training large-scale models that generalize across contexts to enable rational protocol design for regenerative medicine, context-specific drug effect prediction, and systematic disease modeling. Partner with wet-lab scientists to bring novel multi-omic assays online, developing the analysis methods and pipelines that new experimental modalities require.