Responsibilities
- Design and evaluate machine learning and artificial intelligence systems using claims and EHR datasets for applications such as patient risk scoring and identifying missing care interventions, with oversight from experienced data science team members.
- Contribute to the creation of large language model-driven tools and AI-powered applications designed to streamline workflows for clinical care teams.
- Write and maintain robust Python code for data transformation, model training, and end-to-end ML pipeline automation, adhering to software engineering standards like version control, peer review, and automated testing.
- Partner with engineering, product management, and analytics teams to gather requirements and convert business needs into scalable technical implementations.
- Demonstrate ongoing engagement in learning healthcare-specific data formats, analytical techniques, and real-world applications of data science in medical settings.
Benefits
- Stock options available as part of compensation, offering alignment with company growth.
- One-time work-from-home stipend provided during the first year to support home office setup.
- Full health coverage including medical, vision, and dental plans for employees and dependents.
- Basic life insurance included to support employee security and well-being.
- Generous paid time off: 20 accrued vacation days annually plus 11 company-recognized holidays.
- Parental leave policy includes 16 weeks of paid leave for birthing parents after six months of employment and 8 weeks of bonding time for non-birthing parents.
- 401(k) retirement savings plan with employer contributions, subject to vesting terms.
- Commuter benefits offered to assist with transportation expenses.
- Stipend allocated for professional development, including courses, certifications, and conferences.
Work Arrangement
Remote
Work Arrangement
- San Francisco/Bay Area
- New York City
- Boston
- Los Angeles
- Seattle
- Washington DC
- Arlington
- Denver
- San Diego
- Sacramento
- Albany
- Atlanta
- Austin
- Baltimore
- Central/Southern
- Charlotte
- Chicago
- Dallas/Fort Worth
- Detroit
- Houston
- Las Vegas
- Miami
- Milwaukee
- Philadelphia
- Portland
- Research Triangle
- Salt Lake City
- Twin Cities
- Baton Rouge
- Birmingham
- Charleston
- Cincinnati
- Cleveland
- Daytona Beach
- Indianapolis
- Nashville
- New Orleans
- Omaha
- Phoenix
- Pittsburgh
- St. Louis
- Tampa
Other
- Employment offer is conditional upon passing a background check.
- Background screening includes verification of employment history and advanced degrees, where applicable.
- Candidates not meeting all listed qualifications are still encouraged to apply.
- Commitment to cultivating an inclusive, equitable, and accessible workplace that promotes belonging for all team members.