AI / Machine Learning and Data Scientist
On-site · South San Francisco, California, United States
Job Summary
Develop scalable data science and AI capabilities for healthcare data, applying advanced ML/AI techniques including LLMs and NLP to structured and unstructured clinical datasets. Collaborate with cross-functional teams to concept, develop, and implement AI solutions across healthcare use cases; build production-ready data pipelines to improve data quality, accessibility, and reliability; evaluate AI agent platforms to automate complex workflows; translate complex analyses into practical healthcare applications; partner with stakeholders to move models from concept to production.
Required Qualifications
- Advanced degree in a quantitative discipline such as computer science, statistics, applied mathematics, biomedical informatics, biomedical engineering, or equivalent practical experience
- 4+ years of experience applying advanced machine learning and AI techniques, including supervised and unsupervised methods, LLMs, and NLP, to clinical data
- Direct experience working with Large Language Models and familiarity with prompt optimization approaches
- Strong experience in machine learning, artificial intelligence, or predictive analytics in healthcare, life sciences, genomics, or related fields
- Strong proficiency in Python, SQL, JavaScript/TypeScript, and/or R
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