← All roles

Solutions Lead, Healthcare

Protege· Solutions
Apply on company site
RemoteFull-timePosted 8mo ago

About the role

Healthcare Solutions Lead to guide prospects and customers through definition and delivery of healthcare datasets. Customer-facing, technically grounded role at the intersection of solution design, program delivery, and data quality across modalities like EHR, claims, radiology, pathology, and unstructured text.

Responsibilities

  • Translate customer requirements into clear dataset plans, delivery scopes, milestones, and execution paths.
  • Serve as a primary customer contact, managing expectations and keeping technical decisions legible throughout the process.
  • Lead end-to-end program management from initial specification through QA, packaging, and final delivery.
  • Use SQL and Python to construct cohorts, evaluate data readiness, validate coverage, and support customer-specific requirements.
  • Assess tradeoffs across modalities, sources, and delivery approaches to determine what is feasible and highest-value.
  • Create structured plans that connect solution architecture, partner constraints, privacy requirements, and delivery execution.
  • Oversee QA for complex healthcare datasets, including EHR, claims, radiology, pathology, and unstructured text.
  • Work with Protege data partners to source and refine healthcare datasets needed for active opportunities and deliveries.
  • Partner with privacy stakeholders to ensure HIPAA-aware handling and safeguards throughout the delivery process.
  • Bring order to multiple simultaneous projects and keep priorities, risks, and dependencies visible.
  • Identify repeatable improvements to planning, QA, communication, and delivery workflows.
  • Help the team move quickly without losing rigor, trust, or customer clarity.

Qualifications

  • Strong customer-facing experience and comfort leading technical conversations with clarity and confidence.
  • Analyst-first mindset with deep hands-on fluency in SQL and Python for cohorting, coverage analysis, and data-readiness work.
  • Deep familiarity with healthcare data modalities such as EHR, claims, radiology, pathology, and unstructured text.
  • Experience bringing order to multiple simultaneous projects with changing priorities and real deadlines.
  • Familiarity with privacy-preserving techniques and practical quality requirements of healthcare data delivery.
  • Experience in healthcare AI, ML products, enterprise data platforms, or similarly technical healthcare environments.
  • Startup comfort, strong ownership, and a high bar for kindness and follow-through.

Skills

Required:SQLPython
Last updated Aug 13, 2026. Interested? Apply on the company site.

About Protege

The data layer for AI training

Protege is the platform for AI Training Data. Protege works with data holders and model builders to empower them to share training data for AI model development.

AI training datadata sharinghealthcaremediamotion-capturedatasets
Company profileWebsite

More open roles at Protege