Principal Scientist, AI Foundations

Job Summary

To drive innovative biomarker analysis, the full-time Principal Scientist, AI Foundations will design, build, and validate assay-level AI agents for spatial transcriptomics and other data types, collaborating closely with translational research groups in a dynamic environment.

Key Responsibilities

• Build and maintain AI agents for major biomarker data types, ensuring defined inputs, outputs, and human-review steps
• Write specifications for each agent in collaboration with subject-matter experts, setting test cases and pass criteria for validation
• Lead initial pilots in spatial transcriptomics and H&E, partnering with research groups to co-develop tools and ensure scientific correctness

Required Qualifications

• Ph.D. in computational biology, bioinformatics, biostatistics, computer science, or a related quantitative field with 4+ years of relevant experience; or a Master's with 6+ years; or a Bachelor's with 8+ years
• Demonstrated hands-on experience analyzing high-dimensional molecular data, including spatial transcriptomics and RNA-seq
• Experience building LLM-based or agentic analysis workflows and evaluating their outputs against expert review
• Strong programming skills in Python and/or R, with a record of creating reusable analysis tools
• Prior experience in biopharmaceutical translational research or early clinical development, including biomarker strategy interpretation