Research Scientist to develop agentic AI systems for drug discovery applications, translating standard research workflows into agentic frameworks and designing new agent skills. The role requires expertise in large language models, agentic frameworks, and understanding of drug discovery processes.
Requirements
- PhD in Computer Science, Computational Biology, Bioinformatics, or related field
- Experience with large language models (GPT, Claude, Llama) and their application to complex reasoning tasks
- Proficiency in Python and experience with agentic AI frameworks (LangChain, AutoGen, CrewAI, or similar)
- Experience building RAG systems including vector databases, embedding models, and retrieval pipelines
- Understanding of drug discovery processes and scientific research workflows
- Strong problem-solving skills and ability to translate complex scientific processes into computational workflows
Benefits
- 401(k) plan and company match
- Short-term and long-term disability coverage
- Basic life insurance
- Tuition reimbursement program
- Paid volunteer time off
- Company holidays
- Well-being benefits
- Up to 80 hours of sick time per year
- Up to 120 hours of paid vacation per year