Related skills
react pytorch rag langchain chain-of-thought📋 Description
- Lead the design and deployment of multi-agent systems for autonomous hypotheses and tool use
- Integrate DNA, RNA, and imaging modalities into transformer models for multi-step reasoning
- Implement advanced LLM reasoning frameworks (ReAct, Chain-of-Thought) with reinforcement fine-tuning
- Architect systems translating multi-modal data into diagnostic and therapeutic insights with traceable rationale
- Own the strategy and roadmap for agentic workflows across Biopharma Solutions and Therapeutics Discovery
- Establish production-grade ML engineering standards and reproducible architectures for auditability
Qualifications
- PhD or Master’s in CS, Bioinformatics, Statistics, or related quantitative field
- 8+ years in AI research/engineering; multi-agent orchestration to production
- Deep experience with LangChain or Claude Agent SDK, RAG, and validation frameworks
- Strong understanding of cancer genomics (WES/WTS), mutational signatures, SAR
- Production-level PyTorch with distributed training on large GPU clusters
- Ability to own deployment, data-driven decisions, and define AI roadmaps
🎁 Benefits
- Annual performance incentive bonus
- Long-term equity awards
- Comprehensive health benefits (medical, dental, vision)
- 401(k) with company match
- Generous paid time off and company holidays
- Additional wellness and work-life benefits
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