Forward-Deployed Data Scientist

Phare Health

full-time

Posted on: 8/27/2025

Origin: • 🇺🇸 United States • New York

✨ AI Apply

💰 $150,000 - $220,000 per year

Mid-LevelSenior

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

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