Lead Data Science Product Manager
Health Care Service Corporation
Forward-Deployed Data Scientist
Phare Health
full-time
Posted on:
Location: New York • 🇺🇸 United States
Visit company websiteSalary
💰 $150,000 - $220,000 per year
Job Level
Mid-LevelSenior
Tech Stack
CloudETLPythonSQL
About the role
- Phare Health: building a platform to reimagine healthcare payments, focusing on trust, transparency, and equity
- Partner directly with healthcare clients to validate outputs, troubleshoot issues, and ensure adoption
- Translate messy, heterogeneous healthcare data (EHR, claims, payer) into structured inputs for AI models
- Build and refine data pipelines and validation checks to ensure accuracy and reproducibility at scale
- Develop analyses and dashboards that surface insights for clients and internal teams
- Collaborate with engineers and researchers to improve model training data and feedback loops
- Contribute to the customer delivery playbook and operate as an embedded member of client teams
- Role is primarily virtual with possible ad-hoc travel; hybrid New York HQ with 3-days/week onsite expectation
Requirements
- Applied Data Scientist: 3+ years working in data science, clinical analytics, or ML delivery, in healthcare or other data-rich domains
- Strong Technical Toolkit: Skilled in SQL and Python for data wrangling, analysis, and visualization
- Client-Facing: Comfortable presenting technical insights to both technical and non-technical stakeholders
- Problem Solver: Able to design pragmatic solutions in ambiguous, messy data environments
- Startup Mindset: Excited to wear multiple hats, move quickly, and help shape how Phare delivers value to partners
- Bonus: Experience working with EHR, claims, or payer data; familiar with data quality challenges in healthcare
- Bonus: Background in ML model validation, monitoring, or deployment
- Bonus: Experience with healthcare coding, rev cycle operations, or clinical workflows
- Bonus: Exposure to distributed data systems, cloud-based ETL, or MLOps
