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Immunology Senior Research Scientist - Single-Cell Genomics

Vertex Pharmaceuticals

Immunology Senior Research Scientist - Single-Cell Genomics

full-timePosted: Aug 2, 2026Updated: Sep 1, 2026WA, Seattle

Job Description

Job DescriptionAt Vertex, we are relentless in our pursuit of transformative solutions for patients with serious diseases. Our innovative approach to research and development has positioned us as a leader in the biotechnology industry. We are seeking a highly motivated and innovative Senior Scientist, Single-Cell Genomics to join a multidisciplinary research team focused on advancing the understanding of human disease biology and enabling translational research through state-of-the-art cellular and molecular profiling approaches.The successful candidate will lead the design, execution, optimization, and interpretation of single-cell genomics and multi-omics workflows, with a primary emphasis on wet-lab experimental biology. This role will focus on implementation of 10x Genomics-based and related single-cell platforms to generate high-quality datasets from complex tissue and peripheral biological samples, including applications in immune cell profiling and disease-relevant contexts. The ideal candidate will bring deep hands-on expertise in executing single-cell assays and the ability to partner closely with computational scientists and cross-functional research teams.The candidate will contribute to developing mechanistic understanding of disease biology and support translational research, biomarker development, and therapeutic hypothesis generation.This is an exciting opportunity for a scientist who is passionate about building and applying cutting-edge single-cell technologies to support target discovery, translational biology, and mechanistic investigation in a collaborative biotech environment.Key Duties & Responsibilities:Execute Single-Cell Genomics and Multi-Omics WorkflowsProcess primary samples and cell-based systems for single-cell applications, including tissue dissociation, cell isolation, enrichment, counting, and viability assessmentGenerate high-quality libraries for transcriptomic, epigenomic, and/or immune profiling applicationsPerform sample and library QC using standard methods such as Qubit, TapeStation, and BioanalyzerPerform end-to-end single-cell genomics and multi-omics workflows, including emerging modalities such as multiome and CITE-seq where appropriate, from sample acquisition through library preparation and sequencingEstablish and refine SOPs, assay documentation, and experimental best practicesWorkflow Optimization and TroubleshootingExecute and troubleshoot assays using 10x Chromium and related technologiesTroubleshoot technical issues across the workflow, including sample quality, library complexity, and sequencing performanceOptimize workflows as needed to maximize sample quality, cell recovery, and reproducibility across studiesBenchmark new methods and contribute to adoption of next-generation single-cell and multi-omics capabilitiesCoordination and Cross-Functional CollaborationCoordinate with internal core groups or external vendors for sequencing, run tracking, and data generationSupport or interface with flow cytometry and cell sorting activities where needed to enable downstream genomics workflowsCollaborate closely with bioinformatics and computational biology teams to support interpretation of complex datasets and enable biologically meaningful insightsPerform critical evaluation of assay and sequencing metrics, including read depth, mapping performance, cell recovery, and QC thresholdsKnowledge and Skills:Deep hands-on expertise in single-cell genomics workflows, with particular experience in 10x Genomics platformsStrong wet-lab background in NGS library preparation, molecular biology, and complex sample processingDemonstrated ability to independently design, execute, troubleshoot, and optimize technically sophisticated experimentsExperience with downstream computational analysis of single-cell datasets is not required but would be considered a significant advantageStrong attention to detail and commitment to high standards in experimental rigor, data quality, and documentationEffective communicator and collaborative scientist who works well in multidisciplinary, matrixed research environmentsEducation and Experience:PhD in Genomics, Molecular Biology, Chemical Engineering, Bioengineering, or a related discipline with 2+ years of relevant experience; or Master’s degree with 6+ years of relevant experience; or Bachelor’s degree with 8+ years of relevant experience Pay Range:$124,200 - $186,400Disclosure Statement:The range provided is based on what we believe is a reasonable estimate for the base salary pay range for this job at the time of posting. This role is eligible for an annual bonus and annual equity awards. Some roles may also be eligible for overtime pay, in accordance with federal and state requirements. Actual base salary pay will be based on a number of factors, including skills, competencies, experience, and other job-related factors permitted by law.At Vertex, our Total Rewards offerings also include inclusive market-leading benefits to meet our employees wherever they are in their career, financial, family and wellbeing journey while providing flexibility and resources to support their growth and aspirations. From medical, dental and vision benefits to generous paid time off (including a week-long company shutdown in the Summer and the Winter), educational assistance programs including student loan repayment, a generous commuting subsidy, matching charitable donations, 401(k) and so much more.Flex Designation:On-Site DesignatedFlex Eligibility Status:In this On-Site designated role, you will work five days per week on-site with ad hoc flexibility. Note: The Flex status for this position is subject to Vertex’s Policy on Flex @ Vertex Program and may be changed at any time.#LI-OnsiteCompany InformationVertex is a global biotechnology company that invests in scientific innovation. Vertex is committed to equal employment opportunity and non-discrimination for all employees and qualified applicants without regard to a person's race, color, sex, gender identity or expression, age, religion, national origin, ancestry, ethnicity, disability, veteran status, genetic information, sexual orientation, marital status, or any characteristic protected under applicable law. Vertex is an E-Verify Employer in the United States. Vertex will make reasonable accommodations for qualified individuals with known disabilities, in accordance with applicable law. Any applicant requiring an accommodation in connection with the hiring process and/or to perform the essential functions of the position for which the applicant has applied should make a request to the recruiter or hiring manager, or contact Talent Acquisition at ApplicationAssistance@vrtx.com

Locations

  • WA, Seattle

Salary

124,200 - 186,400 USD / yearly

Responsibilities

  • Execute Single-Cell Genomics and Multi-Omics Workflows
  • Process primary samples and cell-based systems for single-cell applications, including tissue dissociation, cell isolation, enrichment, counting, and viability assessment
  • Generate high-quality libraries for transcriptomic, epigenomic, and/or immune profiling applications
  • Perform sample and library QC using standard methods such as Qubit, TapeStation, and Bioanalyzer
  • Perform end-to-end single-cell genomics and multi-omics workflows, including emerging modalities such as multiome and CITE-seq where appropriate, from sample acquisition through library preparation and sequencing
  • Establish and refine SOPs, assay documentation, and experimental best practices
  • Workflow Optimization and Troubleshooting
  • Execute and troubleshoot assays using 10x Chromium and related technologies
  • Troubleshoot technical issues across the workflow, including sample quality, library complexity, and sequencing performance
  • Optimize workflows as needed to maximize sample quality, cell recovery, and reproducibility across studies
  • Benchmark new methods and contribute to adoption of next-generation single-cell and multi-omics capabilities
  • Coordination and Cross-Functional Collaboration
  • Coordinate with internal core groups or external vendors for sequencing, run tracking, and data generation
  • Support or interface with flow cytometry and cell sorting activities where needed to enable downstream genomics workflows
  • Collaborate closely with bioinformatics and computational biology teams to support interpretation of complex datasets and enable biologically meaningful insights
  • Perform critical evaluation of assay and sequencing metrics, including read depth, mapping performance, cell recovery, and QC thresholds

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