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Technical Project Manager (Healthcare)

Key Facts

Remote From: 
Full time
English

Other Skills

  • Program Management
  • Accountability
  • Communication
  • Dealing With Ambiguity
  • Time Management
  • Teamwork
  • Analytical Thinking
  • Detail Oriented
  • Empathy
  • Relationship Building

Roles & Responsibilities

  • Proven customer-facing experience: skilled at managing expectations, leading customer conversations, and delivering technical outcomes with clarity and confidence.
  • Analyst-first mindset with strong SQL and Python skills to query data, construct patient cohorts, assess data readiness for model training, and support customer needs.
  • Deep expertise across healthcare data modalities (EHR, claims, radiology, pathology, and unstructured text) and familiarity with privacy-preserving techniques.
  • Experience in healthcare AI/ML products or enterprise data platforms, prior startup experience, and a track record of cross-functional collaboration.

Requirements:

  • Serve as the primary point of contact for customers, building long-term strategic relationships and transparent data delivery from Protege’s network.
  • Lead end-to-end program management—from data specification and preparation through QA and delivery—with cross-functional coordination and on-time execution.
  • Collaborate with Protege data partners to source cutting-edge healthcare data into the Protege ecosystem.
  • Oversee QA, packaging, and delivery of complex datasets (EHR, claims, radiology, pathology, unstructured text) with HIPAA compliance in partnership with privacy teams.

Job description

Company Overview:

We are building Protege to solve the biggest unmet need in AI — getting access to the right training data. The process today is time intensive, incredibly expensive, and often ends in failure. The Protege platform facilitates the secure, efficient, and privacy-centric exchange of AI training data.

Solving AI’s data problem is a generational opportunity. We’re backed by world-class investors and already powering partnerships with some of the most ambitious teams in AI. The company that succeeds will be one of the largest in AI — and in tech.

We’re a lean, fast-moving, high-trust team of builders who are obsessed with velocity and impact. Our culture is built for people who thrive on ambiguity, own outcomes, and want to shape the future of data and AI.

Role Overview:

As a Technical Project Manager (Healthcare Solutions Lead) in the Healthcare vertical, you will guide prospects and customers through the definition and delivery of healthcare datasets. Your job will be to understand what customers are building, identify the data that best fits their needs, and assemble and QA high-quality samples and final deliveries that meet their technical and conceptual specs. Along the way, you’ll ensure timelines and milestones are clearly communicated from the first stages of feasibility to the final data delivery.

What You Will Own

  • Serve as the primary point of contact for customers, building long-term strategic relationships with them via collaboration around data and transparency around its delivery from Protege's network

  • Lead end-to-end program management from data specification and preparation through QA and delivery, ensuring cross-functional coordination and on-time execution

  • Work with Protege data partners to source cutting edge healthcare data into the Protege ecosystem

  • Oversee the QA, packaging, and delivery of complex datasets (EHR, claims, radiology, pathology, unstructured text), ensuring HIPAA compliance in collaboration with privacy partners

Who You Are

  • Proven customer-facing experience: skilled at managing expectations, leading customer conversations, and delivering technical outcomes with clarity and confidence

  • Bring an analyst-first mindset to challenges. You are an expert in using SQL and python to query data to construct complex patient cohorts, analyze data readiness for model training, validate clinical coverage, and support other customer-specific needs

  • FInd satisfaction by bringing order to multiple simultaneous projects and masterfully juggle competing (and sometimes changing) priorities

  • Deep expertise in various healthcare data modalities ranging from EHR, claims, radiology, pathology and unstructured text

  • Familiarity with privacy-preserving techniques of healthcare data

  • Experience in healthcare AI, ML products, or enterprise data platforms

  • Prior startup experience

  • You treat those around you with kindness

Why Protege

  • Be the connective tissue between Protege’s platform, our data, and our customers

  • Build datasets that directly power the next generation of AI models

  • Operate at the cutting edge of multimodal data — where human judgment meets machine intelligence

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