Senior Machine Learning Scientist, Agentic AI
Core
Design and deploy production-grade autonomous AI agents and multi-modal foundation models to convert complex multi-omic datasets into verifiable clinical insights for oncology biomarker and therapeutic discovery.
Role type
Senior Machine Learning Scientist (Agentic AI)
Builds
Autonomous AI agents, multi-modal foundation models, and clinical trial matching pipelines for Biopharma Solutions and Therapeutics Discovery.
Domain
Oncology, Cancer Genomics, Bioinformatics
Deliverable
production ML models
Required skills
Multi-agent orchestration, LLM fine-tuning, ReAct/Chain-of-Thought reasoning frameworks, reinforcement fine-tuning (RFT), cancer genomics (WES/WTS), mutational signatures, PyTorch, distributed training on large GPU clusters (NVIDIA H100s)
Preferred skills
LangChain, Claude Agent SDK, retrieval-augmented generation (RAG), structure-activity relationships
Technologies
PyTorch, NVIDIA H100, LangChain, Claude Agent SDK
Responsibilities
Lead technical design and deployment of multi-agent systems for autonomous hypothesis generation; Integrate DNA, RNA, and H&E imaging modalities into transformer-based foundation models; Implement advanced LLM reasoning frameworks; Architect systems translating multi-modal data into diagnostic insights; Own technical strategy and product roadmap for agentic workflows; Establish production-grade ML engineering standards and reproducible architectures.
Seniority
Senior, hands-on IC
