Principal Scientist - Quantitative Translational Scientist
Core
Architect exploratory analyses of multi-modal datasets (genomic, transcriptomic, proteomic, metabolomic, clinical) to generate actionable insights for oncology precision medicine.
Role type
Principal Scientist, Quantitative Translational Scientist
Builds
Scalable, reproducible pipelines and automated workflows for enterprise-wide biomarker discovery and clinical development.
Domain
Biopharma / Oncology / Precision Medicine
Deliverable
production ML models | dashboards & analysis
Required skills
Statistical modeling and regression, Machine learning, Data integration and blending, Cloud platform implementation (AWS/GCP/Azure), Linux and shell scripting, Version control, AI coding assistants
Preferred skills
Experience with AI coding assistants (e.g., Claude Code), Working understanding of Clinical trials
Technologies
AWS, GCP, Azure, Linux, Shell scripting, Notebook-based workflows
Responsibilities
Set and refine quantitative biomarker strategies across multiple programs, Translate program objectives into testable hypotheses and analytical roadmaps, Define and review statistical frameworks including hypothesis testing and power/sample-size analyses, Oversee the correct application of statistical models on integrated datasets, Direct the design and enhancement of computational workflows for novel biomarkers, Provide guidance on data cleaning, integration, and visualization standards
Seniority
Principal, strategy & mentorship
