Technical Project Manager

Protege

Completely RemoteFull TimeOperations & Administration
Posted Today

Job description

Responsibilities

  • Lead solution architecture and deal design, translating customer requirements into structured plans and driving execution through internal project management, quality assurance, and cross-functional coordination
  • Manage end-to-end program delivery from data specification and preparation through QA and final delivery, ensuring clear timelines and milestone communication
  • Source cutting-edge healthcare data by working with Protege data partners to expand the platform ecosystem
  • Oversee QA, packaging, and delivery of complex datasets including EHR, claims, radiology, pathology, and unstructured text
  • Ensure HIPAA compliance and privacy preservation in collaboration with internal privacy partners
  • Maintain customer-facing presence throughout engagements to ensure alignment and adapt solutions as needs evolve

Requirements

  • SQL and Python expertise for querying data, constructing complex patient cohorts, and analyzing data readiness for model training
  • Deep knowledge of healthcare data modalities: EHR, claims, radiology, pathology, and unstructured text
  • Customer-facing technical program management experience with proven ability to manage expectations and deliver technical outcomes
  • Familiarity with HIPAA compliance and privacy-preserving techniques for healthcare data
  • Experience in healthcare AI, ML products, or enterprise data platforms
  • Prior startup experience with ability to thrive in ambiguity and own outcomes

About the Company

Protege is building the platform to solve AI's biggest unmet need: access to the right training data. The company facilitates secure, efficient, and privacy-centric exchange of AI training data, powering partnerships with ambitious AI teams and backed by world-class investors.

Skills & tools

SQLPythonHealthcareAICompliance

What the team is looking for

Use this list as a quick fit check before you apply.

  1. 01SQL and Python expertise for data querying and cohort construction
  2. 02Deep knowledge of healthcare data modalities (EHR, claims, radiology, pathology, unstructured text)
  3. 03Customer-facing technical program management experience
  4. 04HIPAA compliance and privacy-preserving techniques familiarity
  5. 05Healthcare AI, ML products, or enterprise data platform experience
  6. 06Startup experience