Immunology Senior Research Scientist - Single-Cell Genomics

Overview

At 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 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