Scientist, Oncology Bioinformatics
Core
Apply computational biology at the intersection of single-cell genomics, T cell biology, and cancer immunotherapy to advance mRNA-based cancer vaccines and immunotherapies.
Role type
Scientist, Oncology Bioinformatics
Builds
mRNA-based cancer vaccines and immunotherapies
Domain
Biopharma / Oncology / Computational Biology
Deliverable
production ML models
Required skills
single-cell RNA-seq analysis, bulk RNA-seq analysis, DNA-seq analysis, TCR-seq analysis, Python, R, cloud environments (AWS), reproducible bioinformatics workflows, target discovery, biomarker identification
Preferred skills
immuno-oncology, neoantigen prediction, HLA typing, peptide-MHC binding tools, immunogenomics resources
Technologies
AWS, NetMHCpan, IEDB, TCGA
Responsibilities
Analyze and interpret single-cell, bulk genomics, and functional genomics datasets; Develop and apply computational approaches to investigate T cell biology; Integrate internal and public datasets to support target discovery and biomarker identification; Develop and maintain reproducible bioinformatics workflows; Collaborate with cross-functional teams to support study design and data analysis; Communicate findings through presentations and reports.
Seniority
Senior, hands-on IC
