Senior Machine Learning Engineer / Data Scientist

📋 Description

• Architect scalable RAG/LLM systems with knowledge graphs and omics data.
• Design and deploy RAG pipelines with LLMs and graphs.
• Build agentic orchestration frameworks coordinating LLM agents.
• Collaborate with data engineering to prepare large-scale omics datasets for training.
• Develop conversational AI interfaces for scientists to query data via natural language.
• Partner with experimental scientists to ensure model outputs are interpretable.

🎯 Requirements

• PhD in CS/ML/Applied Math or related with 1–3 yrs exp; MS with 4–6 yrs.
• Proven record building LLM apps: RAG, graph-based RAG, agents, chatbots.
• Python and ML/LLM frameworks: LangChain, Transformers, PyTorch.
• Experience with multi-omics or high-dimensional biological data a plus.
• Familiarity with probabilistic modeling or causal inference a plus.
• Strong knowledge graph tech: graph and vector databases.

🎁 Benefits

• Opportunity to shape a next-gen AI/ML platform for drug discovery.
• Collaborative team with experts in biology, computation, and therapeutics.
• Healthcare coverage, retirement benefits, and incentive programs.
• Equal opportunity employer; commitment to diversity and inclusion.