Sr. Scientist – AI/ML Governance & Operations
Core
Establishing foundational standards, governance processes, and operational practices to scale AI/ML capabilities for Large Molecule Discovery, ensuring assets are reproducible, secure, and compliant.
Role type
Senior Scientist (AI/ML Governance & Operations)
Builds
Governance frameworks for responsible development, deployment, and maintenance of AI-enabled scientific solutions in drug discovery.
Domain
Biotechnology / Life Sciences / Large Molecule Discovery
Deliverable
production ML models
Required skills
Machine learning lifecycle management, model deployment practices, source control systems, CI/CD pipelines, software development lifecycle practices, technical governance, scientific platform administration
Preferred skills
MLOps environments, AI governance programs, model documentation and validation, reproducibility standards, biotechnology/pharmaceutical research experience
Technologies
Source control systems, CI/CD pipelines
Responsibilities
Establish standards for ML code, documentation, and model artifacts; Define best practices for model lifecycle management and version control; Partner with scientists to validate and maintain AI workflows; Manage shared repositories and technical assets; Implement scalable governance and lifecycle management practices; Align AI practices with enterprise security and compliance; Translate scientific requirements into operational standards.
Seniority
Senior, hands-on IC