Immunology Senior Research Scientist - Single-Cell Genomics
$124,200–$186,400 year
On-siteSeattle, Washington, United States
Seattle, Washington, United StatesOn-siteFull Time$124,200–$186,400 yearSenior LevelDoctorate Or Professional DegreeMedium
Full TimeSenior LevelDoctorate Or Professional DegreeMedium
Job Summary
Execute single-cell genomics and multi-omics workflows, including 10x Genomics platforms, from sample acquisition through library preparation and sequencing. Process primary samples for tissue dissociation, cell isolation, and viability assessment while performing QC using Qubit, TapeStation, and Bioanalyzer. Optimize assays to maximize sample quality, cell recovery, and reproducibility, and establish SOPs for experimental best practices. Collaborate with bioinformatics teams to interpret complex datasets and support translational research, biomarker development, and therapeutic hypothesis generation. This role focuses on wet-lab experimental biology within a multidisciplinary research team advancing human disease biology at Vertex.
Required Qualifications
- PhD in Genomics, Molecular Biology, Chemical Engineering, Bioengineering, or a related discipline
- 2+ years of relevant experience
- Master's degree with 6+ years of relevant experience
- Bachelor's degree with 8+ years of relevant experience
- Deep hands-on expertise in single-cell genomics workflows
- Particular experience in 10x Genomics platforms
- Strong wet-lab background in NGS library preparation
- Molecular biology
- Complex sample processing
- Demonstrated ability to independently design, execute, troubleshoot, and optimize technically sophisticated experiments
- Strong attention to detail
- Commitment to high standards in experimental rigor
- Data quality
- Documentation
- Effective communicator
- Collaborative scientist
- Works well in multidisciplinary, matrixed research environments
- On-Site work five days per week
Desired Qualifications
- Experience with downstream computational analysis of single-cell datasets
- Experience with emerging modalities such as multiome and CITE-seq
- Experience with 10x Chromium and related technologies
- Experience with sample quality
- Experience with library complexity
- Experience with sequencing performance
- Experience with read depth
- Experience with mapping performance
- Experience with cell recovery
- Experience with QC thresholds
- Experience with flow cytometry
- Experience with cell sorting
- Experience with internal core groups
- Experience with external vendors
- Experience with sequencing
- Experience with run tracking
- Experience with data generation
- Experience with bioinformatics
- Experience with computational biology
- Experience with complex datasets
- Experience with biologically meaningful insights
- Experience with target discovery
- Experience with translational biology
- Experience with mechanistic investigation
- Experience with collaborative biotech environment
- Experience with immune cell profiling
- Experience with disease-relevant contexts
- Experience with biomarker development
- Experience with therapeutic hypothesis generation
- Experience with wet-lab experimental biology
- Experience with cellular and molecular profiling approaches
- Experience with tissue dissociation
- Experience with cell isolation
- Experience with enrichment
- Experience with counting
- Experience with viability assessment
- Experience with transcriptomic applications
- Experience with epigenomic applications
- Experience with immune profiling applications
- Experience with sample and library QC
- Experience with Qubit
- Experience with TapeStation
- Experience with Bioanalyzer
- Experience with library preparation
- Experience with sequencing
- Experience with sample acquisition
- Experience with assay documentation
- Experience with experimental best practices
- Experience with SOPs
- Experience with workflow optimization
- Experience with troubleshooting
- Experience with technical issues
- Experience with sample quality
- Experience with library complexity
- Experience with sequencing performance
- Experience with maximizing sample quality
- Experience with cell recovery
- Experience with reproducibility
- Experience with benchmarking new methods
- Experience with adoption of next-generation single-cell and multi-omics capabilities
- Experience with cross-functional research teams
- Experience with computational scientists
- Experience with high-quality datasets
- Experience with complex tissue
- Experience with peripheral biological samples
- Experience with single-cell genomics and multi-omics workflows
- Experience with design
- Experience with execution
- Experience with optimization
- Experience with interpretation
- Experience with implementation
- Experience with 10x Genomics-based platforms
- Experience with related single-cell platforms
- Experience with generating high-quality datasets
- Experience with disease biology
- Experience with translational research
- Experience with building and applying cutting-edge single-cell technologies
- Experience with support target discovery
- Experience with support translational biology
- Experience with support mechanistic investigation
- Experience with collaborative biotech environment
- Experience with multidisciplinary research team
- Experience with advancing the understanding of human disease biology
- Experience with enabling translational research
- Experience with state-of-the-art cellular and molecular profiling approaches
- Experience with immune cell profiling
- Experience with disease-relevant contexts
- Experience with wet-lab experimental biology
- Experience with single-cell genomics and multi-omics workflows
- Experience with primary samples
- Experience with cell-based systems
- Experience with single-cell applications
- Experience with tissue dissociation
- Experience with cell isolation
- Experience with enrichment
- Experience with counting
- Experience with viability assessment
- Experience with transcriptomic applications
- Experience with epigenomic applications
- Experience with immune profiling applications
- Experience with sample and library QC
- Experience with standard methods
- Experience with Qubit
- Experience with TapeStation
- Experience with Bioanalyzer
- Experience with end-to-end single-cell genomics and multi-omics workflows
- Experience with emerging modalities
- Experience with multiome
- Experience with CITE-seq
- Experience with sample acquisition
- Experience with library preparation
- Experience with sequencing
- Experience with 10x Chromium
- Experience with related technologies
- Experience with technical issues
- Experience with sample quality
- Experience with library complexity
- Experience with sequencing performance
- Experience with workflow optimization
- Experience with maximizing sample quality
- Experience with cell recovery
- Experience with reproducibility
- Experience with benchmarking new methods
- Experience with adoption of next-generation single-cell and multi-omics capabilities
- Experience with coordination
- Experience with cross-functional collaboration
- Experience with internal core groups
- Experience with external vendors
- Experience with sequencing
- Experience with run tracking
- Experience with data generation
- Experience with flow cytometry
- Experience with cell sorting
- Experience with downstream genomics workflows
- Experience with bioinformatics
- Experience with computational biology
- Experience with interpretation of complex datasets
- Experience with biologically meaningful insights
- Experience with critical evaluation
- Experience with assay and sequencing metrics
- Experience with read depth
- Experience with mapping performance
- Experience with cell recovery
- Experience with QC thresholds
- Experience with high standards in experimental rigor
- Experience with data quality
- Experience with documentation
- Experience with multidisciplinary, matrixed research environments
- Experience with effective communication
- Experience with collaboration
- Experience with multidisciplinary research environments
- Experience with matrixed research environments
- Experience with single-cell genomics
- Experience with multi-omics
- Experience with 10x Genomics
- Experience with NGS library preparation
- Experience with molecular biology
- Experience with complex sample processing
- Experience with independently design
- Experience with execute
- Experience with troubleshoot
- Experience with optimize
- Experience with technically sophisticated experiments
- Experience with downstream computational analysis
- Experience with single-cell datasets
- Experience with emerging modalities
- Experience with multiome
- Experience with CITE-seq
- Experience with 10x Chromium
- Experience with related technologies
- Experience with sample quality
- Experience with library complexity
- Experience with sequencing performance
- Experience with read depth
- Experience with mapping performance
- Experience with cell recovery
- Experience with QC thresholds
- Experience with flow cytometry
- Experience with cell sorting
- Experience with internal core groups
- Experience with external vendors
- Experience with sequencing
- Experience with run tracking
- Experience with data generation
- Experience with bioinformatics
- Experience with computational biology
- Experience with complex datasets
- Experience with biologically meaningful insights
- Experience with target discovery
- Experience with translational biology
- Experience with mechanistic investigation
- Experience with collaborative biotech environment
- Experience with immune cell profiling
- Experience with disease-relevant contexts
- Experience with biomarker development
- Experience with therapeutic hypothesis generation
- Experience with wet-lab experimental biology
- Experience with cellular and molecular profiling approaches
- Experience with tissue dissociation
- Experience with cell isolation
- Experience with enrichment
- Experience with counting
- Experience with viability assessment
- Experience with transcriptomic applications
- Experience with epigenomic applications
- Experience with immune profiling applications
- Experience with sample and library QC
- Experience with standard methods
- Experience with Qubit
- Experience with TapeStation
- Experience with Bioanalyzer
- Experience with library preparation
- Experience with sequencing
- Experience with sample acquisition
- Experience with assay documentation
- Experience with experimental best practices
- Experience with SOPs
- Experience with workflow optimization
- Experience with troubleshooting
- Experience with technical issues
- Experience with sample quality
- Experience with library complexity
- Experience with sequencing performance
- Experience with maximizing sample quality
- Experience with cell recovery
- Experience with reproducibility
- Experience with benchmarking new methods
- Experience with adoption of next-generation single-cell and multi-omics capabilities
- Experience with coordination
- Experience with cross-functional collaboration
- Experience with internal core groups
- Experience with external vendors
- Experience with sequencing
- Experience with run tracking
- Experience with data generation
- Experience with flow cytometry
- Experience with cell sorting
- Experience with downstream genomics workflows
- Experience with bioinformatics
- Experience with computational biology
- Experience with interpretation of complex datasets
- Experience with biologically meaningful insights
- Experience with critical evaluation
- Experience with assay and sequencing metrics
- Experience with read depth
- Experience with mapping performance
- Experience with cell recovery
- Experience with QC thresholds
- Experience with high standards in experimental rigor
- Experience with data quality
- Experience with documentation
- Experience with multidisciplinary, matrixed research environments
- Experience with effective communication
- Experience with collaboration
- Experience with multidisciplinary research environments
- Experience with matrixed research environments
- Experience with single-cell genomics
- Experience with multi-omics
- Experience with 10x Genomics
- Experience with NGS library preparation
- Experience with molecular biology
- Experience with complex sample processing
- Experience with independently design
- Experience with execute
- Experience with troubleshoot
- Experience with optimize
- Experience with technically sophisticated experiments
- Experience with downstream computational analysis
- Experience with single-cell datasets
- Experience with emerging modalities
- Experience with multiome
- Experience with CITE-seq
- Experience with 10x Chromium
- Experience with related technologies
- Experience with sample quality
- Experience with library complexity
- Experience with sequencing performance
- Experience with read depth
- Experience with mapping performance
- Experience with cell recovery
- Experience with QC thresholds
- Experience with flow cytometry
- Experience with cell sorting
- Experience with internal core groups
- Experience with external vendors
- Experience with sequencing
- Experience with run tracking
- Experience with data generation
- Experience with bioinformatics
- Experience with computational biology
- Experience with complex datasets
- Experience with biologically meaningful insights
- Experience with target discovery
- Experience with translational biology
- Experience with mechanistic investigation
- Experience with collaborative biotech environment
- Experience with immune cell profiling
- Experience with disease-relevant contexts
- Experience with biomarker development
- Experience with therapeutic hypothesis generation
- Experience with wet-lab experimental biology
- Experience with cellular and molecular profiling approaches
- Experience with tissue dissociation
- Experience with cell isolation
- Experience with enrichment
- Experience with counting
- Experience with viability assessment
- Experience with transcriptomic applications
- Experience with epigenomic applications
- Experience with immune profiling applications
- Experience with sample and library QC
- Experience with standard methods
- Experience with Qubit
- Experience with TapeStation
- Experience with Bioanalyzer
- Experience with library preparation
- Experience with sequencing
- Experience with sample acquisition
- Experience with assay documentation
- Experience with experimental best practices
- Experience with SOPs
- Experience with workflow optimization
- Experience with troubleshooting
- Experience with technical issues
- Experience with sample quality
- Experience with library complexity
- Experience with sequencing performance
- Experience with maximizing sample quality
- Experience with cell recovery
- Experience with reproducibility
- Experience with benchmarking new methods
- Experience with adoption of next-generation single-cell and multi-omics capabilities
- Experience with coordination
- Experience with cross-functional collaboration
- Experience with internal core groups
- Experience with external vendors
- Experience with sequencing
- Experience with run tracking
- Experience with data generation
- Experience with flow cytometry
- Experience with cell sorting
- Experience with downstream genomics workflows
- Experience with bioinformatics
- Experience with computational biology
- Experience with interpretation of complex datasets
- Experience with biologically meaningful insights
- Experience with critical evaluation
- Experience with assay and sequencing metrics
- Experience with read depth
- Experience with mapping performance
- Experience with cell recovery
- Experience with QC thresholds
- Experience with high standards in experimental rigor
- Experience with data quality
- Experience with documentation
- Experience with multidisciplinary, matrixed research environments
- Experience with effective communication
- Experience with collaboration
- Experience with multidisciplinary research environments
- Experience with matrixed research environments
- Experience with single-cell genomics
- Experience with multi-omics
- Experience with 10x Genomics
- Experience with NGS library preparation
- Experience with molecular biology
- Experience with complex sample processing
- Experience with independently design
- Experience with execute
- Experience with troubleshoot
- Experience with optimize
- Experience with technically sophisticated experiments
- Experience with downstream computational analysis
- Experience with single-cell datasets
- Experience with emerging modalities
- Experience with multiome
- Experience with CITE-seq
- Experience with 10x Chromium
- Experience with related technologies
- Experience with sample quality
- Experience with library complexity
- Experience with sequencing performance
- Experience with read depth
- Experience with mapping performance
- Experience with cell recovery
- Experience with QC thresholds
- Experience with flow cytometry
- Experience with cell sorting
- Experience with internal core groups
- Experience with external vendors
- Experience with sequencing
- Experience with run tracking
- Experience with data generation
- Experience with bioinformatics
- Experience with computational biology
- Experience with complex datasets
- Experience with biologically meaningful insights
- Experience with target discovery
- Experience with translational biology
- Experience with mechanistic investigation
- Experience with collaborative biotech environment
- Experience with immune cell profiling
- Experience with disease-relevant contexts
- Experience with biomarker development
- Experience with therapeutic hypothesis generation
- Experience with wet-lab experimental biology
- Experience with cellular and molecular profiling approaches
- Experience with tissue dissociation
- Experience with cell isolation
- Experience with enrichment
- Experience with counting
- Experience with viability assessment
- Experience with transcriptomic applications
- Experience with epigenomic applications
- Experience with immune profiling applications
- Experience with sample and library QC
- Experience with standard methods
- Experience with Qubit
- Experience with TapeStation
- Experience with Bioanalyzer
- Experience with library preparation
- Experience with sequencing
- Experience with sample acquisition
- Experience with assay documentation
- Experience with experimental best practices
- Experience with SOPs
- Experience with workflow optimization
- Experience with troubleshooting
- Experience with technical issues
- Experience with sample quality
- Experience with library complexity
- Experience with sequencing performance
- Experience with maximizing sample quality
- Experience with cell recovery
- Experience with reproducibility
- Experience with benchmarking new methods
- Experience with adoption of next-generation single-cell and multi-omics capabilities
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