Principal Scientist, Generative AI
Core
Designing, deploying, and scaling generative AI solutions (LLMs, foundation models, agentic workflows) to accelerate drug development processes by integrating bioinformatic and machine learning analyses.
Role type
Principal Scientist, Generative AI (hands-on IC with strategic leadership)
Builds
Production-ready generative AI platforms and agentic workflows for clinical transcriptomics, proteomics, and cell painting data analysis.
Domain
Pharmaceutical R&D / Bioinformatics / Generative AI
Deliverable
production ML models | product features
Required skills
Python, TensorFlow, PyTorch, LLM fine-tuning, RAG implementation, agentic AI workflow design, machine vision (CNNs, transformers, diffusion models), MLOps, Kubernetes, AWS, strategic AI planning
Preferred skills
Life sciences/pharma domain knowledge, LangChain, AutoGen, LlamaIndex, publications in top AI conferences
Technologies
Python, TensorFlow, PyTorch, LangChain, AutoGen, LlamaIndex, Kubernetes, AWS, GitHub, CI/CD
Responsibilities
Collaborate with scientists to build platforms underpinning research; build generative AI prototypes to demonstrate value; design and deploy ML models for large-scale clinical data analysis; calculate ROI and impact for AI projects; provide strategic direction for generative AI adoption; champion production-first infrastructure; manage stakeholder relationships and communicate results; improve ML development environments and tooling.
Seniority
Principal, strategy & mentorship
