Healthcare Data Solutions Lead
Role Overview
This senior-level role involves leading end-to-end program management for healthcare datasets, serving as the primary customer contact to define and deliver data solutions. Day-to-day responsibilities include using SQL and Python to analyze data, ensuring HIPAA compliance, and coordinating with data partners to source and QA complex datasets like EHR and claims. The hire will impact the development of AI models by building high-quality datasets in a fast-paced, cross-functional team.
Perks & Benefits
The job is fully remote, likely with flexible hours, though time zone expectations may align with team collaboration. It offers career growth at the cutting edge of AI and healthcare data, with a culture emphasizing velocity, impact, and high trust among builders. Benefits include working with world-class investors and ambitious AI teams, fostering a kind and outcome-driven environment.
Full 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 Data 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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