Principal Scientist, Translational AI Foundations
Core
Build and maintain a shared software platform, ontology, and knowledge graph for translational AI agents and workflows, connecting governed data to accelerate drug discovery decisions.
Role type
Principal Scientist, Translational AI Foundations (Platform, Deployment and Knowledge Systems)
Builds
Validated, reusable AI agents and workflows for biomarker analysis (e.g., ctDNA), deployed as reliable services.
Domain
Biopharma, Translational Medicine, Genomic Informatics, Machine Learning
Deliverable
production ML models
Required skills
Architecting shared software platforms, building ontologies and knowledge graphs, engineering standards as tooling, CI/CD and containerization, data governance and versioning, mentoring engineering practices
Preferred skills
Experience with agentic automation, Model Context Protocol (MCP), large language models (LLMs), AWS cloud compute
Technologies
Databricks, AWS (ECS, EKS, Kubernetes), Docker, REST APIs, CI/CD pipelines, Knowledge Graphs, Ontologies
Responsibilities
Build and maintain provenance tracking, evaluation tooling, and access control for the shared platform; Implement engineering standards as tool templates and validation pipelines; Own the ontology and knowledge graph service for canonical biomarker definitions; Build versioned connections to governed data products; Containerize and deploy validated tools with monitoring and rollback plans; Package components for hand-off to research teams; Mentor junior team members on engineering practices.
Seniority
Principal, hands-on IC with architectural and mentorship responsibilities
