Moderna
Scientist, Oncology Bioinformatics
Cambridge, Massachusetts, USA · Mid · Contract
Stay score
odds of building a lasting career here
Sponsors, but it's cap-subject — you still face the weighted lottery (~45% per draw at Level III). Good if you win; have a cap-exempt backup on your list.
Lottery odds assume a STEM candidate.
Personalize to your clock →H-1B wage level
the lottery is wage-weighted — each level is one more entry
$2,285 more — $123,885 — moves this role to Level III and 3 lottery entries. That figure is inside the range the employer already advertised.
Based on the DOL prevailing wage for this occupation and worksite, a base salary of $123,885 would place this position at wage Level III. That figure is within the posted range, and I'd like to target it. This role classifies under "Biological Scientists, All Other" for prevailing-wage purposes.
DOL prevailing wage, 2026-27 wage year · Biological Scientists, All Other (19-1029) · Boston-Cambridge-Newton, MA-NH. Wage level is derived by USCIS from the offered wage, occupation and worksite; the occupation shown is inferred from the job title.
Employer immigration record
from this employer's Department of Labor filings
Files H-1B transfers
Sourced from Department of Labor LCA, PERM and prevailing-wage disclosure data. Employer matching is by name, so figures may be split across an employer's legal entities. Absence of a filing means none appears in our copy of the data, not that none exists.
Community outcomes
No reports yet — be the first to help the next applicant.
About the role
- 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.
- Analyze and integrate multi-omics datasets (e.g., WES/WGS, RNA-seq, single-cell) to characterize tumor antigen landscapes
- Leverage internal and public datasets (e.g., TCGA, GTEx, IEDB) for biomarker exploration and hypothesis generation
Responsibilities
- This role will support Moderna's oncology pipeline by contributing computational analyses across research and preclinical development.
- Apply computational methods to support antigen discovery efforts and investigate tumor-immune interactions and underlying mechanisms
- 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
- Develop and maintain reproducible analysis workflows using Python, R, and cloud-based infrastructure (e.g., AWS)
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
- Demonstrated ability to apply computational approaches to biological or early-stage translational research problems
- Familiarity with neoantigen prediction approaches, including HLA typing and peptide-MHC binding tools (e.g., NetMHCpan)
- Experience with immunogenomics resources (e.g., IEDB, TCGA)
Nice to have
- Here's What You'll Bring to the Table (Preferred Qualifications)
Skills
- Experience working in cloud environments (e.g., AWS)
- Strong collaboration and communication skills in a team-oriented environment
Compensation
- The salary range for this role is $121,600.00 - $194,500.00.
Benefits
- Family planning benefits, including fertility, adoption, and surrogacy support
Company info
- By living our mission, values, and mindsets every day, our people are the driving force behind our scientific progress and our culture.
Visa & Work Authorization
- thout regard to a person's race, color, sex, gender identity or expression, age, religion, national origin, ancestry or citizenship, ethnicity, disability, military or protected veteran status, genetic information, sexua
This listing is sourced directly from Moderna's careers page and normalized into a canonical job model.