Principal Scientist – Data Insights & Hypothesis Design
Core
Ensure scientific coherence of a multimodal data platform bridging molecular science and data engineering to deliver actionable insights for precision medicine.
Role type
Principal Scientist (Data Insights & Hypothesis Design)
Builds
Scalable production-grade clinico-genomic data products and insights for drug discovery and development.
Domain
Precision medicine, oncology, neurology, immunology, and large-scale clinico-genomic data analysis.
Deliverable
production ML models | product features
Required skills
Computational biology, statistical analysis, translational research, foundation models, generative AI, agentic workflows, multi-omic analysis, NGS modalities, SQL, Python, R, data prototyping, scientific product development
Preferred skills
Experience in oncology, neurology, or immunology; experience with single-cell sequencing, immunomics, metagenomics; experience with large-scale relational databases
Technologies
SQL, R, Python, foundation models, generative AI, agentic workflows
Responsibilities
Conduct rigorous data evaluations and prototype new data offerings; translate client research objectives into actionable clinico-genomic data strategies; serve as a core scientific authority evaluating datasets and building data insight reports; support scaling clinical-genomic footprint across diverse disease domains
Seniority
Principal, hands-on IC with strategic delegation
