Lead Healthcare GenAI Data Scientist (Remote)

SR Talent Solution Inc.; Georgia; À distance; USD 140 000 - 210 000; Plein temps

Avantages offerts par ce poste

Remote work

Travel opportunities

Résumé du poste

SR Talent Solution Inc. seeks a hands-on Lead Data Scientist for a 100% remote role with travel to their Houston office. Up to 20% travel for business meetings is required.

The position emphasizes healthcare data science, GenAI/LLM production, and technical leadership in a regulated healthcare environment. The candidate should own end-to-end ML solutions—from development to deployment and monitoring—while mentoring other data scientists and communicating with senior stakeholders.

Qualifications

• Hands-on Lead Data Scientist with healthcare data science experience.
• Production-level GenAI/LLM expertise required.
• Strong foundation in CS, data science, statistics, ML.
• End-to-end ownership: model development, validation, deployment, monitoring, and productionization.
• Hands-on GenAI deployment experience (RAG, agentic AI, NLP/LLM) in production.
• Healthcare datasets experience (clinical/EHR/claims) in regulated environments.
• Lead-level leadership: mentoring, guiding others, communicating with senior stakeholders.
• Avoid ETL/data pipelines or BI-focused backgrounds without GenAI in production.

Responsabilités

• Lead end-to-end ML/GenAI projects in healthcare.
• Mentor data scientists and collaborate with clinical stakeholders.
• Drive production deployment, monitoring, and optimization of models.

Connaissances

Healthcare data science

GenAI/LLM production

Mentoring/leadership

Stakeholder communication

Description du poste

SR Talent Solution Inc. seeks a hands-on Lead Data Scientist for a 100% remote role with travel to their Houston office. Up to 20% travel for business meetings is required.

The position emphasizes healthcare data science, GenAI/LLM production, and technical leadership in a regulated healthcare environment. The candidate should own end-to-end ML solutions—from development to deployment and monitoring—while mentoring other data scientists and communicating with senior stakeholders.