Senior Manager, Scientific AI Engineer
Core
Design and build end-to-end AI/ML solutions to address Oncology discovery, translational, and clinical development challenges, translating complex biological and clinical questions into applied AI insights.
Role type
Senior Manager, Scientific AI Engineer (hands-on IC with leadership)
Builds
AI/ML prototypes and decision-support tools for Oncology R&D
Domain
Life Sciences / Oncology / Healthcare
Deliverable
production ML models
Required skills
Python, machine learning, data pipelines, multimodal data analysis, Oncology biology, translational science, clinical development workflows, problem framing, rapid prototyping
Preferred skills
pharma/biotech experience, AI health tech startup experience, large heterogeneous dataset handling
Technologies
Python, ML frameworks
Responsibilities
Design, develop, and prototype AI/ML solutions; apply advanced analytical methods to multimodal datasets; own solutions end-to-end from problem framing to user-facing outputs; collaborate with domain experts to ensure scientific grounding; rapidly iterate on prototypes; contribute to solution design discussions; document methods and limitations for responsible AI practices
Seniority
Senior, hands-on IC with team leadership
