Lead Clinical AI Research Scientist

***** Senior or Lead Clinical AI Research Scientist***** Hybrid in Palo Alto, CA. Company ***** Seed ($50 Million) ***** 200k-225k salary range, bonus, equityAbout the Company Our client is an AI-first healthcare technology company transforming how hyper-personalized care is delivered. Their precision care platform empowers clinicians to provide whole-person care by combining generative AI with predictive analytics. Backed by extensive proprietary data assets covering hundreds of millions of patients and healthcare providers, the company is led by a team of experts spanning healthcare, technology, and clinical research. Their mission is to bridge cutting-edge AI innovation with practical, real-world healthcare applications that improve patient outcomes.About the Role We are seeking a Senior Data Scientist with deep expertise in Large Language Models (LLMs) and their application in healthcare. In this role, you will design, build, and deploy advanced AI solutions that seamlessly integrate into existing clinical and operational systems, driving measurable impact for providers and patients.Key Responsibilities End-to-End *****Lead the design and implementation of LLM-powered healthcare applications that are secure, scalable, and production-ready. Model *****Fine-tune and adapt LLMs such as LLaMA 2, Mistral, and other cutting-edge open-source models for healthcare-specific use cases. Tool *****Leverage frameworks like LangChain, LlamaIndex, and related tools to create innovative AI-driven healthcare workflows. *****Address complex challenges in healthcare using creative, data-driven approaches that transform AI capabilities into real-world patient outcomes. Cross-Functional *****Partner with clinicians, engineers, and business stakeholders, translating technical concepts into clear, actionable insights. Continuous *****Stay ahead of emerging trends in AI and healthcare technology, integrating new methodologies and tools where beneficial.Qualifications Advanced degree in Computer Science, Data Science, Artificial Intelligence, or a related discipline. Proven experience developing and deploying LLM applications in a healthcare context. Experience with SFT, RLHF, RAG, Agents, etc. Proficiency with LLaMA 2, Mistral, LangChain, LlamaIndex, and comparable technologies. Strong analytical, problem-solving, and critical-thinking skills. Excellent written and verbal communication abilities, with a collaborative mindset.

Created: 2025-09-26