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Protege

Solutions Lead, Healthcare

RemoteUnited States only
Published
Role
Project Management
Experience
Lead
Employment
Full-time
Salary not disclosed
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Open to US only. Set where you work from to check your eligibility.

No BS summary

Customer-facing healthcare data solutions lead who can translate customer needs into dataset plans and manage delivery. Must be hands-on with SQL and Python and deeply familiar with EHR, claims, radiology, pathology, and unstructured text. Healthcare AI, ML products, enterprise data platforms, or similarly technical healthcare experience required.

Core skills

SQLPython

What you'll do

  • 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 appropriate 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 get better at moving quickly without losing rigor, trust, or customer clarity.

What they require

  • 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 the 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.

Benefits

  • We move fast - thoughtfully. Speed matters in what we're building, and so does intention. We're biased toward action and always learning.
  • We're a lean, high-trust team. Everyone has real ownership. Clarity and autonomy drive our best work.
  • We take our work seriously, not ourselves. We solve hard problems with humility and celebrate wins - big and small.
  • We're kind, direct, and inclusive. We give feedback early and often, with the goal of helping one another grow.
  • We're builders at heart. Every person at Protege is hands-on, resourceful, and focused on creating momentum.
  • We grow fast - together. You'll be surrounded by people who care about impact, who challenge you to think bigger, and who are genuinely excited about what comes next.

Protege is building a platform for secure, efficient, privacy-centric exchange of AI training data. DataLab is Protege's research arm focused on data for AI.

HealthcareStartup
Salary not disclosed