Senior Data Scientist, Computational Biology
Data Science
Palo Alto, CA, USA
USD 130k-165k / year + Equity
About the Role
We're hiring an experienced data scientist to analyze and model high-dimensional molecular data across emerging data modalities in support of our oncology-focused cancer detection platform. You'll work at the intersection of cancer biology and data science, owning projects end-to-end while partnering closely with assay development and experimental teams. This is a high-impact role for someone who thrives in ambiguity and is energized by hard problems in early cancer detection.
What You'll Do
- Own end-to-end analysis of high-dimensional molecular workstreams across multiple data modalities, from data processing through interpretation and communication of results.
Contribute to classifier design, development, and validation to detect cancer in prospective clinical studies
Adapt external, state-of-the-art representation and foundation models for DELFI’s internal applications
Collaborate closely with Assay, Software, and Clinical teams to evaluate and integrate emerging data types into analytical pipelines
Support data science coverage across active studies, including assay research, characterization and validation
Work effectively in a fast-moving environment where priorities shift and self-direction is expected
What You'll Bring
Doctoral degree in Computational Biology, Bioinformatics, Data Science, or a related field with 2+ years of industry experience; or, Master's with 3+ years of industry experience; or, Bachelor’s with 5+ years of industry experience
Hands-on experience with high-dimensional biological datasets across multiple biomarkers and molecular data types
Background in cancer biology or oncology-focused research
Demonstrated ability to own projects end-to-end with limited oversight
Demonstrated ability to use experimental findings to drive decisions for future research or product directions
Strong collaborator with wet lab and experimental teams
Proficiency in Python; experience with cloud environments (AWS preferred)
Experience with cfDNA, liquid biopsy, and NGS-based platforms
Familiarity with ML modeling in a biological context
Experience in a regulated diagnostics or clinical setting
Required
Preferred
130000 - 165000 USD a year