Senior Scientist, Bioinformatics

Coherus Oncology•Redwood City, CA

2d•$140,000 - $175,000

About The Position

Coherus Oncology is seeking a Senior Scientist, Bioinformatics to join the Translational Medicine team and support the analysis and interpretation of translational and clinical biomarker data from oncology clinical trials. This is a hands-on bioinformatics role for an industry-experienced scientist who enjoys working close to the data, biology, and clinical context. The Senior Scientist will execute rigorous, reproducible analyses and collaborate closely with translational scientists and other cross-functional partners to generate biologically meaningful insights that support clinical decision-making. Within a small, highly collaborative team, this role focuses on direct analytical contributions to active clinical programs and provides meaningful exposure to translational bioinformatics in a clinical-stage biotech environment.

Requirements

PhD with 1+ years of relevant industry experience, or Master’s degree with 5+ years of relevant industry experience in Bioinformatics, Computational Biology, Genomics, Statistics, Cancer Biology, Immunology or a related fields.
Strong proficiency in R/Python for data analysis, statistical modeling, and visualization.
Experience working in Linux/Unix computing environments.
Solid foundation in statistics and their application to biological and clinical datasets.
Demonstrated ability to independently execute analyses with attention to rigor, reproducibility, and detail.
Knowledge of immunology and/or cancer biology or related fields.

Nice To Haves

Prior industry bioinformatics experience, particularly in translational or clinical-stage research in cancer immunotherapy and related fields.
Experience working with NGS and biomarker assay data in an industry or clinical research setting.
Familiarity with using AI-assisted computational and analytical tools to support efficient coding, data analysis, visualization, and scientific communication.
Interest in and ability to engage deeply with the biological interpretation of analytical results.

Responsibilities

Perform end-to-end analysis of translational and clinical biomarker data, including data preparation, quality control, statistical analysis, and biological interpretation.
Analyze high-dimensional clinical trial datasets (e.g., bulk/single cell/spacial RNA-seq, protein biomarker platforms such as MSD or Olink, and other translational assays).
Apply appropriate statistical methods with careful consideration of study design, analytical assumptions, and clinical relevance.
Execute reproducible, well-documented analytical workflows to ensure data quality, traceability, and analytical rigor.
Collaborate closely with translational scientists and cross-functional partners to interpret results in biological and clinical context.
Coordinate with data providers and vendors as needed to support timely data transfer, documentation, and organization for ongoing clinical studies.
Prepare clear figures, tables, and presentation materials to communicate analytical findings and support internal study discussions, scientific publications, regulatory documents and reports.
Work with Clinical, Biomarker, and Laboratory Operations teams, as well as external vendors, to support data transfer, organization, and documentation for ongoing trials.
Use version control and collaborative development practices to maintain analysis code and documentation.
Leverage AI-assisted tools to improve efficiency in coding, analysis, visualization, and documentation while applying sound scientific judgment.