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Working closely with clinical and cross-functional leaders from across the organization, you will strive to understand, define and help solve problems in domains that include patient safety, value-based care, cardiometabolic health, mental health, population health, clinical-operational efficiency, among others.Key job responsibilities
- Communicate analytical results and methods to a mixture of technical and non-technical stakeholders.- Collaborate with other Data Scientists in defining requirements, establishing success metrics, and delivering high-quality AI / ML-based solutions.A day in the life
- Ownership of clinical effectiveness statistical analyses, including stakeholder management.- Design and develop data pipelines that leverage generative AI models (LLMs).- Write complex queries of large healthcare datasets.- Participate in code reviews and design discussions.
- 2+ years of data scientist experience
- 3+ years of data querying languages (e.g. SQL), scripting languages (e.g. Python) or statistical/mathematical software (e.g. R, SAS, Matlab, etc.) experience
- 3+ years of machine learning/statistical modeling data analysis tools and techniques, and parameters that affect their performance experience
- Experience applying theoretical models in an applied environment
- Experience working with healthcare data.
Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.
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