Lead Clinical AI Research Scientist

Role : Senior or Lead Clinical AI Research Scientist

Location : Hybrid in Palo Alto, CA.

Company Stage : Seed ($50 Million)

Compensation : 200k-225k salary range, bonus, equity

About 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 Development : Lead the design and implementation of LLM-powered healthcare applications that are secure, scalable, and production-ready.
• Model Specialization : Fine-tune and adapt LLMs such as LLaMA 2, Mistral, and other cutting-edge open-source models for healthcare-specific use cases.
• Tool Application : Leverage frameworks like LangChain, LlamaIndex, and related tools to create innovative AI-driven healthcare workflows.
• Problem-Solving : Address complex challenges in healthcare using creative, data-driven approaches that transform AI capabilities into real-world patient outcomes.
• Cross-Functional Collaboration : Partner with clinicians, engineers, and business stakeholders, translating technical concepts into clear, actionable insights.
• Continuous Innovation : Stay ahead of emerging trends in AI and healthcare technology, integrating new methodologies and tools where beneficial.

Qualifications