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Sr. Scientist, Immune Repertoire Discovery

Job in Cambridge, Middlesex County, Massachusetts, 02140, USA
Listing for: Moderna Therapeutics
Full Time position
Listed on 2026-08-07
Job specializations:
  • Research/Development
    Immunology Research, Biotech Research, Research Scientist, Drug Discovery
Salary/Wage Range or Industry Benchmark: 130800 - 209400 USD Yearly USD 130800.00 209400.00 YEAR
Job Description & How to Apply Below

The Role The Therapeutics Research group at Moderna is seeking a talented, experienced, and highly motivated Senior Scientist to implement scalable platforms for T cell repertoire analysis from patient and disease-relevant samples. This individual will drive T cell profiling and antigen-specific TCR discovery and functional validation efforts across oncology, autoimmunity, and other therapeutic areas where defining disease-relevant T cell responses can inform translational biology, therapeutic design, and AI/ML model training.

The candidate will also help identify, characterize, and prioritize TCRs with potential utility for therapeutic development, including TCR-T, TCR engager, and other TCR-based modalities. The successful candidate will bring deep expertise in T cell immunology, antigen-specific T cell repertoire analysis, TCR-pMHC recognition, and functional screening. They will work closely with cross-functional partners in bioinformatics, translational medicine, therapeutic immunology, protein engineering, and program teams to advance Moderna’s therapeutic and translational research programs.

This is a highly collaborative, hands-on role for a scientist who is excited to build and refine discovery workflows, generate high-quality biological datasets, and translate complex immune profiling results into actionable insights for therapeutic research.

Here’s What You’ll Do
  • Establish and execute scalable workflows for TCR specificity mapping from patient samples, disease-relevant samples, and internal or external datasets.
  • Support antigen-specific T cell discovery using approaches such as single-cell profiling, TCR sequencing, functional screening, reporter assays, cell-based assays, or NGS-enabled readouts.
  • Design and execute experiments to identify, validate, and prioritize disease-relevant T cell responses and TCR candidates for downstream therapeutic evaluation.
  • Contribute to translational oncology, autoimmunity, and other disease-area work streams by applying TCR specificity-mapping workflows to support immune monitoring, mechanism-of-action studies, and therapeutic hypothesis generation.
  • Generate high-quality, well-annotated biological datasets that can support downstream computational analysis, AI/ML model development, therapeutic discovery, and translational interpretation.
  • Partner with bioinformatics, computational biology, AI/ML, protein engineering, translational medicine, and program teams to connect immune profiling outputs with therapeutic design and candidate selection.
  • Drive continued innovation of TCR discovery workflows by identifying, piloting, and integrating new experimental or computational approaches that improve scale, sensitivity, reproducibility, or biological resolution.
  • Troubleshoot complex assay workflows, evaluate new deconvolution technologies, and recommend improvements to throughput, sensitivity, and data quality.
Here’s What You’ll Need (Basic Qualifications)
  • PhD in immunology, molecular biology, cell biology, cancer biology, microbiology, bioengineering, or related discipline.
  • At least 2 years of hands‑on post‑graduate experience in T cell biology, TCR‑pMHC recognition, antigen mapping, T cell repertoire analysis, immune profiling, or related T cell immunology platforms.
  • Experience designing, executing, and troubleshooting complex immunology assays or T cell profiling workflows.
  • Hands‑on experience with one or more relevant technologies, such as single‑cell sequencing workflows, TCR sequencing, cell‑based assays, reporter systems, functional screening, NGS‑based readouts, or high‑throughput immunology platforms.
  • Experience analyzing and interpreting T cell profiling, repertoire, antigen‑mapping, functional screening, or related immunology datasets.
  • Demonstrated ability to generate high‑quality, reproducible experimental data under active program timelines.
  • Experience collaborating with cross‑functional partners such as bioinformatics, computational biology, translational medicine, therapeutic immunology, protein engineering, or program teams.
  • Excellent written, presentation, and interpersonal communication skills, including the ability to communicate experimental results,…
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