Scientist, Oncology Bioinformatics

Moderna • Cambridge, MA

1d • $142,500 - $256,500 • Onsite

About The Position

Moderna is seeking a Scientist to join the Oncology Bioinformatics team within the Cancer Vaccine and Bioinformatics Research organization. This is an exciting opportunity to apply computational biology at the intersection of single-cell genomics, T cell biology, and cancer immunotherapy to help advance Moderna’s oncology pipeline. In this role, you will contribute to high-impact scientific questions that inform the discovery and development of mRNA-based cancer vaccines and immunotherapies. You will work in a highly collaborative, cross-functional environment with immunologists, oncologists, translational scientists, and computational biologists to generate actionable biological insights from complex genomic datasets.

Requirements

• Ph.D., with 0+ years of experience or M.S. with 4+ years of experience, in Bioinformatics, Computational Biology, or a related field.
• Experience with high-throughput sequencing data, including single-cell RNA-seq, bulk RNA-seq, DNA-seq and TCR-seq.
• Proficiency in Python and/or R for computational data analysis.
• Experience working in cloud environments (e.g., AWS).
• Demonstrated ability to apply computational approaches to biological or early-stage translational research.
• Strong collaboration and communication skills in a team-oriented environment.

Nice To Haves

• Exposure to immuno-oncology, cancer vaccines, tumor immunology, or computational immunology.
• Familiarity with neoantigen prediction approaches, including HLA typing and peptide-MHC binding tools (e.g., NetMHCpan).
• Experience with immunogenomics resources (e.g., IEDB, TCGA).

Responsibilities

• Analyze and interpret single-cell, bulk genomics, and functional genomics datasets to characterize immune responses and tumor biology.
• Develop and apply computational approaches to investigate T cell biology and mechanisms of anti-tumor immunity.
• Integrate internal and public datasets to support target discovery, biomarker identification, and translational research.
• Develop and maintain reproducible bioinformatics workflows using modern computational tools and cloud-based infrastructure.
• Collaborate with cross-functional teams to support study design, data analysis, and interpretation.
• Communicate findings through presentations, reports, and scientific discussions to inform research decisions.

Benefits

• Competitive healthcare, plus voluntary benefit programs to support your unique needs
• A holistic approach to well-being, with access to fitness, mindfulness, and mental health support
• Family planning benefits, including fertility, adoption, and surrogacy support
• Generous paid time off, including vacation, volunteer days, sabbatical, global recharge days, and a discretionary year-end shutdown
• Savings and investments to help you plan for the future
• Location-specific perks and extras

What This Job Offers

• Job Type: Full-time
• Career Level: Entry Level