Scientist, Oncology Bioinformatics

Moderna • Cambridge, MA

1d • $121,600 - $194,500 • Onsite

About The Position

This role will support Moderna’s oncology pipeline by contributing computational analyses across research and preclinical development. You will work at the intersection of antigen discovery, tumor immunology, and multi-omics data analysis, applying established and emerging computational approaches to help characterize tumor biology and immune responses. In this highly collaborative environment, you will partner closely with oncologists, immunologists, biologists, and platform technology teams to generate insights that inform target discovery and early-stage therapeutic development for mRNA-based cancer vaccines and immunotherapies.

Requirements

• Ph.D., or M.S. with 4+ years of experience, in Bioinformatics, Computational Biology, or a related field
• Experience with high-throughput sequencing data analysis, including DNA-seq and RNA-seq
• Proficiency in Python and/or R for data analysis
• Experience working in cloud environments (e.g., AWS)
• Demonstrated ability to apply computational approaches to biological or early-stage translational research problems
• This position is site-based, requiring you to be at Moderna’s site full-time.
• This position is not eligible for remote work

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)
• Strong collaboration and communication skills in a team-oriented environment

Responsibilities

• Analyze and integrate multi-omics datasets (e.g., WES/WGS, RNA-seq, single-cell) to characterize tumor antigen landscapes
• Apply computational methods to support antigen discovery efforts and investigate tumor-immune interactions and underlying mechanisms
• Leverage internal and public datasets (e.g., TCGA, GTEx, IEDB) for biomarker exploration and hypothesis generation
• Develop and maintain reproducible analysis workflows using Python, R, and cloud-based infrastructure (e.g., AWS)
• Collaborate with cross-functional teams in immunology, oncology, and translational research to support experimental design and data interpretation
• Communicate results clearly through presentations, summaries, and documentation to support team decision-making

Benefits

• Best-in-class healthcare coverage, 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 investment opportunities to help you plan for the future
• Location-specific perks and extras

What This Job Offers

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