Principal Analyst, Data Integration

🏢 H1 · 📍 US Remote · 💼 hybrid · ⏰ Full time
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Position Summary & Responsibilities

At H1, we believe access to the best healthcare information is a basic human right. Our mission is to provide a platform that can optimally inform every doctor interaction globally. This promotes health equity and builds needed trust in healthcare systems. To accomplish this our teams harness the power of data and AI-technology to unlock groundbreaking medical insights and convert those insights into action that result in optimal patient outcomes and accelerates an equitable and inclusive drug development lifecycle.  Visit h1.co to learn more about us.
 
As part of H1’s hiring process, all candidates are required to participate in an in-person final interview. Depending on your location, this may require travel.
 
The Data & Research team is responsible for the end-to-end lifecycle of H1's data — from source acquisition and onboarding through normalization, entity resolution, and product delivery. Working closely with Engineering, Product, and client-facing teams, this group ensures that every data source H1 adds is evaluated rigorously, integrated accurately, and delivered in a way that creates real value for the healthcare and life sciences organizations that rely on our platform.
 
WHAT YOU'LL DO AT H1

As a Principal Analyst, Data Integration, you will own the end-to-end process of evaluating, scoping, and onboarding new data sources into H1's platform. This is a senior IC role at the intersection of data, engineering, and product — the connective tissue between raw data acquisition and what ultimately ships to clients. You will work across Data & Research, Engineering, and Product to define what a new source is, how it maps to H1's schemas, what it can realistically deliver, and what it can't. You will also work directly with client-facing teams to gather requirements before integration decisions are made, translating commercial needs into data specs and data constraints back into product expectations.

You will:
- Lead structured evaluation of new data sources from scratch — assessing schema, coverage, freshness, legal constraints, and fit against H1's product needs before any engineering work begins
- Own field mapping from source to H1's bronze/silver/gold layers, producing data dictionaries, entity definitions, and structural guidance for downstream

🎯 Candidate Preparation Guide For H1 Applicants

Key Role Competencies & Evaluation Highlights

Key Role Focus:

Interviewers strictly assess your ability to handle complex healthcare data networks, KOL mapping, and life sciences commercialization.

📋 Preparation Priorities (Key Areas to Clarify):
  • 1. Treating healthcare data like standard consumer e-commerce analytics
  • 2. Failing to grasp the complex stakeholder ecosystem of physicians, hospitals, and pharma brands
  • 3. Lack of precision when discussing data governance and privacy standards
✨ Recommended Role Alignment Hook:

I unlock life sciences intelligence by transforming complex healthcare data into actionable commercial networks.

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