Principal Scientist, Machine Learning
Core
Lead AI/ML and computational projects to accelerate pharmaceutical R&D across preclinical, translational, and clinical stages by building agentic systems and end-to-end pipelines.
Role type
Principal Scientist (Embedded ML/Computational)
Builds
Agentic systems combining ML and computational biology tools (genomics, biomolecule design, multi-omics, systems biology) serving as end-to-end R&D pipelines.
Domain
Biopharma / AI for Drug Discovery
Deliverable
production ML models
Required skills
Python, modern ML frameworks (PyTorch, JAX, TensorFlow), deep learning architectures, version control, databases, scientific literature mining, LLM-based agents, agentic workflows
Preferred skills
Agentic AI orchestration (Pydantic AI, LangGraph, LangChain, CrewAI, AutoGen), LLM integration (Anthropic, OpenAI, Vertex AI, Amazon Bedrock), sandboxed code execution, LLM observability, FinOps for AI
Technologies
PyTorch, JAX, TensorFlow, Python, LangChain, LangGraph, CrewAI, AutoGen, Anthropic, OpenAI, Vertex AI, Amazon Bedrock
Responsibilities
Lead development and reporting of AI/ML projects; own build, scaling, and maintenance of agentic systems; promote operational excellence; manage and mentor cross-functional teams; plan projects and resources; scout emerging AI/ML landscape and propose strategies; influence technical approaches and present findings.
Seniority
Principal, strategy & mentorship
