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Forward-Deployed Data Scientist

Phare Health

$150,000 - $220,000
Aug 26, 2025
Remote, US
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Phare Health is looking to solve the problem of trust and fairness in healthcare payments by building a platform that brings clarity, transparency, and equity to interactions between payers and providers. The Forward Deployed Data Scientist will help achieve this by bringing messy real-world data into Phare's AI platform and translating it into structured, reliable inputs for their models.

Requirements

  • Skilled in SQL and Python for data wrangling, analysis, and visualization
  • Experience working with EHR, claims, or payer data; familiar with data quality challenges in healthcare
  • Background in ML model validation, monitoring, or deployment
  • Experience with healthcare coding, rev cycle operations, or clinical workflows
  • Exposure to distributed data systems, cloud-based ETL, or MLOps

Responsibilities

  • Partner with client stakeholders (clinical, rev cycle, IT) to validate outputs, troubleshoot issues, and ensure adoption of Phare’s product suite into their existing workflows
  • Translate messy, heterogeneous healthcare data into structured, usable inputs for Phare’s 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 Phare engineers and researchers to improve model training data and feedback loops
  • Contribute to building Phare’s customer delivery playbook - defining best practices for delivering high-quality AI outputs across diverse client environments

Other

  • Partner directly with healthcare clients
  • Translate raw EHR, claims, and payer data into structured, reliable inputs for our models
  • Collaborate with clinicians, revenue cycle leaders, and Phare’s internal engineering and research teams
  • Comfortable presenting technical insights to both technical and non-technical stakeholders, and collaborating directly with customer teams
  • Able to design pragmatic solutions in ambiguous, messy data environments
  • Excited to wear multiple hats, move quickly, and help shape how Phare delivers value to partners