Computational Biologist I/II/ Sr Adaptive Biotechnologies CorpComputational Biologist I/II/ SrWARemote$104,000–$156,000 / yearBase salary is thoughtfully considered upon offer and is determined through multiple evaluation checks throughout the interview process, including: a candidate's ability to meet minimum qualifications (skills/experience/education), a candidate's ability to thoughtfully address preferred qualifications, current market conditions, and internal pay equity. Facilitates consensus approval for development study protocols, coordinating input from various technical stakeholders to ensure statistical plans meet business needs and CLIA/CAP, ISO and FDA requirements.
Staff Computational Biologist Freenome IncStaff Computational BiologistCARemote$188,275–$270,375 / yearNice to haves: Experience training, evaluating, or applying biological sequence models-specifically sequence-to-function models that learn and predict functional biology directly from raw DNA, RNA, or protein sequences. Extensive experience analyzing data and developing models for high-throughput, quantitative technologies in genomics, epigenomics, transcriptomics, proteomics, (e.g., Methyl-seq, ATAC-seq, RNA-seq, Hi-C, immunodetection assays).
Postdoctoral Research Fellow - Computational Biologist - Gillani Lab Dana-Farber Cancer Institute IncPostdoctoral Research Fellow - Computational Biologist - Gillani LabBOSTON, MA$72,000–$76,385 / yearThey will develop and support data processing and analysis tools, create new algorithms for focused research questions in bulk and single cell tumor analysis, integrate tools and databases into existing high-throughput pipelines, and drive projects to completion and publication. This Postdoctoral Computational Biologist will also help with the generation of tools needed for manipulating and preparing data for display; transferring data to external collaborators and data repositories; and will also help maintain, support, and document shared tools, code, and data sets.
Computational Biologist (AI/ML) - Essex Management (Contingent Roles) Emmes GroupComputational Biologist (AI/ML) - Essex Management (Contingent Roles)RockvilleRemoteFull timeEssex supports programs in precision oncology, cancer genomics, clinical data infrastructure, and translational research, and the Computational Biologist (AI/ML) is expected to bring scientific judgment and technical capability to the work, not just execution. This role specifically focuses on applying Artificial Intelligence, Machine Learning and Deep Learning to bioinformatic analysis, and thus the ideal candidate is expected to leverage traditional bioinformatic techniques as well as emerging techniques.
Computational Biologist II, External Collaborations Immunai IncComputational Biologist II, External CollaborationsNew York City, NY$130,000–$150,000 / yearThrough this position, you will have the opportunity to work with biologists, immunologists, computational biologists, machine learning specialists, and the business development team to design, execute, and disseminate data analyses leveraging single cell multi-omics for immuno-oncology and autoimmune disease research applications. About the role: As a Computational Biologist II at Immunai, you will be working in a fast-paced and research-driven external collaborations team to lead projects with our pharma, biotech, and academic partners.
Computational Biologist Freenome IncComputational BiologistCARemote$131,325–$189,525 / yearYou will work closely and cross-functionally with many teams, including Molecular Research and Development, Model R&D, and Computational Biology, Assay Development to enable the concept and feasibility of multiple molecular assays as part of Freenome's diagnostic products. With a strong background in NGS assay development, bioinformatics, statistics, and molecular biology, you will design and execute research studies to drive early research of prototype cancer early detection products using cfDNA as biomarker.
Computational Biologist Thomas Jefferson UniversityComputational BiologistPhiladelphia, PennsylvaniaJefferson is more than 65,000 people strong, dedicated to providing the highest-quality, compassionate clinical care for patients; making our communities healthier and stronger; preparing tomorrow's professional leaders for 21st-century careers; and creating new knowledge through basic/programmatic, clinical and applied research. Thomas Jefferson University , home of Sidney Kimmel Medical College, Jefferson College of Nursing, and the Kanbar College of Design, Engineering and Commerce, dates back to 1824 and today comprises 10 colleges and three schools offering 200+ undergraduate and graduate programs to more than 8,300 students.
Computational Biologist 1 Oregon Health & Science UniversityComputational Biologist 1Portland, OregonFunction/Duties of Position: An exciting opportunity has been created for a Computational Biologist, Level 1 to join the Anupriya Agarwal Laboratory at the OHSU Knight Cancer Institute, Portland, OR to study the mechanisms of leukemia initiation and drug resistance using single-cell multi-omics approaches. Our community of faculty, trainees and staff brings together scientists from a broad range of disciplines and works collaboratively to advance innovation and translate discoveries from the lab into meaningful impacts for cancer patients and our community.
Senior I / Senior II Computational Biologist, External Collaborations Immunai IncSenior I / Senior II Computational Biologist, External CollaborationsNew York City, NY$145,000–$175,000 / yearThrough this position, you will have the opportunity to work with biologists, immunologists, computational biologists, machine learning specialists, and the business development team to design, execute, and disseminate data analyses leveraging single cell multi-omics for immuno-oncology and autoimmune disease research applications. About the role: As a Senior I / Senior II Computational Biologist at Immunai, you will be working in a fast-paced and research-driven external collaborations team to lead projects with our pharma, biotech, and academic partners.
Computational Biologist ProximaComputational BiologistProjects may include designing large-scale scientific workflows for mining public and unique in-house data; developing novel systems biology and structural biology computational methods, tools and algorithms; and/or designing, training and fine-tuning best-in-class machine learning models. Successful candidates will work closely with the Computational Chemistry, Machine Learning and Application Engineering teams to tap into the wealth of evolutionary, structural and -omics data to unlock the full potential of unified machine learning representations and large-scale geometric deep learning generative models.
Computational Biologist Tufts UniversityComputational BiologistMedford, MassachusettsExperience with regenerative biology, developmental biology, limb biology, mouse or Xenopus datasets, spatial transcriptomics (highly desired), multi-omics integration, image analysis, workflow managers, high-performance computing, or cloud computing. The successful candidate will implement established analytical workflows, develop new computational approaches when existing tools are insufficient, integrate data across experiments and species, and communicate findings through clear visualizations, reports, presentations, and manuscripts.
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 team's efforts, including pipeline workflow development, cloud-based data storage, and maintaining data quality and integrity. Qualifications: Basic Qualifications: Bachelor's degree in related field and 6+ years of research experience preferred in the life sciences industry; OR, Master's and 2+ year of research experience preferred in the life sciences industry; OR, PhD and no experience.
Senior Computational Biologist - Early Discovery Immunology Recursion Pharmaceuticals IncSenior Computational Biologist - Early Discovery ImmunologyNew York, NY$166,980–$220,660 / yearYour mission is to integrate Recursion's massive datasets-phenomics, transcriptomics, genomics, proteomics-to nominate novel targets, validate disease biology, and define the precision I&I strategies to advance our most promising therapeutic targets into full-fledged drug discovery programs. Powered by proprietary multimodal data, purpose-built AI models, and bilingual teams fluent in both science and AI, the Recursion OS is designed to translate complex science into medicines that matter - faster, better, and at scale - for patients who are waiting.
Senior Computational Biologist - Early Discovery Oncology Recursion Pharmaceuticals IncSenior Computational Biologist - Early Discovery OncologySalt Lake City, UT$166,980–$220,660 / yearYour mission is to integrate Recursion's massive datasets-phenomics, transcriptomics, genomics, proteomics-to nominate novel targets, validate disease biology, and define the precision oncology strategies to advance our most promising therapeutic targets into full-fledged drug discovery programs. Powered by proprietary multimodal data, purpose-built AI models, and bilingual teams fluent in both science and AI, the Recursion OS is designed to translate complex science into medicines that matter - faster, better, and at scale - for patients who are waiting.
Computational Biologist, Cellularization United Therapeutics CorpComputational Biologist, CellularizationSilver Spring, MDDevelop mathematical models of cellular processes in the lung, including but not limited to cell division, migration, and adhesion, with modulation by the mechanical and chemical environment based on published models and extensions developed in-house to analyze experimental data from cellularization of 3D-printed scaffolds with endothelial, epithelial, and other cell types. Master's Degree in biomedical engineering, computational biology, applied mathematics, or related field of study and 6+ years of industry experience developing computational models of biological systems with a master's degree OR 2+ years of industry experience developing computational models of biological systems with a PhD.
Computational Biologist Valius SciencesComputational BiologistSan Francisco, CaliforniaAt Valius, we believe that the future of cancer care will be defined by “maximalist” diagnostics: deep, comprehensive assessments of DNA, RNA, and protein designed to give patients and their care teams the best possible understanding of how their tumor works and what its vulnerabilities are. This coming year, we’re on track to scale our patient volume significantly, all while bringing new diagnostic modalities (e.g., single-cell transcriptomics) and analytical approaches into clinical care for the very first time.
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.
Senior Computational Biologist Gordian Biotechnology IncSenior Computational BiologistSouth San Francisco, CAThis includes developing and applying robust methods for modeling heterogeneous biological contexts (e.g., cell-type-specific perturbation responses, animal, batch or treatment context variability), identifying and correcting for confounders (e.g., cell cycle, ambient RNA, doublets, batch effects etc.), and selecting or designing appropriate positive and negative controls to validate effect sizes and method performance. You''re very proficient in both Python and R for single-cell analysis (e.g., Scanpy, Seurat) and general data analysis, moving fluidly between ecosystems, and you have working familiarity with NGS workflows and common file formats (FASTQ, BAM) sufficient to reason about data provenance and quality - though your focus is on what the data reveals biologically, not on building or maintaining the infrastructure that produces it.
Computational Biologist, Synthetic Spatial Omics Chan Zuckerberg Biohub IncComputational Biologist, Synthetic Spatial OmicsNew York, NY$153,000–$191,000 / yearDevelop novel computational and machine-learning approaches to identify interpretable biological, organizational, and regulatory principles from cellular morphology, molecular state, subcellular organization, and spatial context. The primary focus of this position will be to uncover interpretable relationships among molecular state, cellular morphology, subcellular organization, engineered design, and tissue context in endogenous and engineered immune cells.
Computational Biologist University of ChicagoComputational BiologistChicago, IL$60,000–$80,000 / yearThe Computational Biologist will contribute to the development and application of statistical and computational tools across NIH-funded projects, integrating large-scale GWAS with metabolomics data to uncover mechanisms underlying complex diseases and developing polygenic risk scores that transfer genetic signals across human populations and model organisms to study addiction-related traits, COPD, type 2 diabetes, and other common diseases. The Section of Genetic Medicine conducts impactful investigations focused on quantitative genetics, systems biology and genomics, bioinformatics and computational biology as well as through extensive collaborations of the faculty throughout the Department of Medicine, Biological Sciences Division and the University of Chicago.