Scientist Manager, Bio-AI & ML Ops
Core
Lead the design, development, evaluation, deployment, and scaling of predictive Bio-AI, integrated Consumer data models, and multi-agent workflows to accelerate cross-OU innovation and decisions.
Role type
Manager, Bio-AI & ML Ops
Builds
Predictive Bio-AI models, agentic workflows, RAG/Graph-RAG solutions, and production ML/LLM platforms for consumer and biological data.
Domain
Biotechnology / Consumer Goods / AI
Deliverable
production ML models | product features | infrastructure
Required skills
Python engineering, predictive model development, LLM application development, agentic workflow design, evaluation framework design, CI/CD and ML Ops, API integration, cloud deployment, containerization
Preferred skills
RAG and Graph-RAG implementation, vector database management, biological/chemical/OMICS data experience, scientific knowledge graph construction, human-in-the-loop systems, biological foundation models
Technologies
Python, LLMs, RAG, Graph-RAG, vector databases, APIs, containers, CI/CD pipelines
Responsibilities
Design multi-agent scientific workflows for evidence retrieval and hypothesis generation; Build RAG and Graph-RAG solutions across internal and external scientific sources; Establish evaluation frameworks for predictive performance, hallucination risk, and reasoning quality; Implement production controls for model versioning, observability, and auditability; Convert pilots into reliable, reusable platform capabilities; Build closed learning loops using experimental outcomes and scientist feedback.
Seniority
Manager, hands-on IC with team leadership
