About the position
Moderna is seeking a Senior Scientist to join a highly collaborative, multi-disciplinary, fast-paced Cancer Vaccine and Bioinformatics Research (CVBR) team based in Cambridge, MA. You will evaluate cancer-specific genomic aberrations and immune-evasion mechanisms, and translate public and proprietary datasets into high-value training data to develop and validate bioinformatics algorithms for individualized neoantigen therapy (INT). You will partner closely with computational biologists, immunologists, translational scientists, clinicians, and machine-learning scientists to drive INT discovery and clinical development.
Responsibilities
• Lead the end-to-end cancer genomics analytics strategy to surface clinically and biologically meaningful variants and events.
• Set and enforce best practices and quality standards for detection and interpretation across assays.
• Match sequencing and library modalities to study goals to maximize signal, cost-effectiveness, and turnaround.
• Develop, validate, and operationalize core algorithms and QC for the INT workflow.
• Integrate multi-omics data to cross-validate findings and prioritize actionable neoantigens.
• Build scalable, reproducible pipelines using workflow managers (e.g., Nextflow) and containerization.
• Collaborate with discovery and translational biology to shape experimental designs, data generation plans, and sample selection; contribute to clinical protocols, data review, and regulatory-grade documentation.
• Communicate results and recommendations clearly to diverse stakeholders; mentor junior scientists and help grow team capabilities.
Requirements
• Ph.D. in Bioinformatics, Computational Biology, Computer Science, Statistics, Physics, or related field with at least two years post graduate experience in relevant bioinformatics research settings, preferrable in biotech industry.
• Demonstrated track record developing genomics data-analysis algorithms and delivering production-quality tools.
• Proficiency in Python, R, Nextflow, high-performance and cloud computing (e.g., AWS).
Nice-to-haves
• Expertise with workflow systems (Nextflow preferred; Snakemake, Cromwell) and containerization (Docker); familiarity with software best practices (version control, code review, testing).
• Experience mining and harmonizing large-scale resources (TCGA, GTEx, CCLE, IMGT, 1000G, ExAC/gnomAD).
• Depth in algorithm evaluation, machine learning, and domain expertise in oncology.
• Hands-on experience with somatic mutation detection, fusion/splicing detection, long-read RNA-seq (PacBio HiFi/Iso-Seq; ONT cDNA/direct RNA), and SV calling.
• Strong problem-solving skills, clear written and verbal communication, and the ability to manage multiple projects in a dynamic, cross-functional environment.
Benefits
• Best-in-class healthcare coverage, plus a suite of voluntary benefit programs to support your unique needs.
• A holistic approach to well-being, with access to fitness, mindfulness, and mental health support.
• Lifestyle Spending Accounts to personalize your well-being journey.
• Family planning and adoption benefits.
• Generous paid time off, including vacation, volunteer days, sabbatical, global recharge days, and a discretionary year-end shutdown.
• Savings and investment opportunities.
• Location-specific perks and extras.
Apply Now
Apply Now