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Data Engineer II- Life Sciences

H1 · New York · Hybrid

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About H1

H1 helps life sciences, pharma, health plans and digital health organizations identify key providers and prescribers, accelerate clinical trials, and advance patient care everywhere. Backed by Y Combinator, IVP and Lux.

About the role

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.

What they're looking for

  • - Building and shipping production data pipelines in Python, with an understanding of what makes them reliable and maintainable under real load
  • - Working with PySpark or a comparable distributed processing framework on datasets too large for a single machine
  • - Writing SQL well enough to answer hard questions about data, not just retrieve it
  • - Working in an operationally-driven environment where reliability and on-time delivery matter as much as new feature work
  • - Working directly with non-engineering partners, subject matter experts, analysts, or customer-facing teams, and communicating clearly about data with people who don't read code
  • - Holding a high bar in code review and expecting the same from those who review your work
More about this role

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.com 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.

H1's Data Network (H1DN) team is the client-data mastering network at the core of how H1's products get their data. We run production ingestion for major enterprise customers. Clinical trial data is one of our highest-visibility streams: it feeds decisions about where trials run and who runs them, and the people who depend on it are as often clinical experts as they are engineers. SLAs and customer expectations drive how we work, and we're looking for engineers who are...

Read the full posting on H1's site ↗

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