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Junior Data Engineer (Healthcare Data Operations)

Stanford and Y Combinator startup building a medical imaging data platform with secure and easy data access to revolutionize healthcare research.
Data
Entry-Level Software Engineer
Remote
11 - 50 Employees
1+ year of experience
Healthcare · AI
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Description For Junior Data Engineer (Healthcare Data Operations)

Segmed, a Stanford and Y Combinator-backed healthcare technology startup, is revolutionizing medical research through their innovative medical imaging data platform. As a Junior Data Engineer focusing on Healthcare Data Operations, you'll play a crucial role in managing and delivering clinical datasets while ensuring data integrity and compliance.

This position offers a unique opportunity to work at the intersection of healthcare and technology, where you'll handle various data types including DICOM, ECG, video, and pathology data. The role combines technical skills with healthcare domain knowledge, making it perfect for someone passionate about both fields.

Working in a 100% remote environment, you'll collaborate with cross-functional teams including clinical, engineering, product, and commercial teams. Your responsibilities will range from operating data workflows to ensuring patient privacy through de-identification efforts. The position requires proficiency in Python and SQL, along with familiarity with tools like bash and Git.

The ideal candidate should have 1-4 years of relevant experience and thrive in a fast-paced startup environment. You'll be joining a mission-driven team focused on improving global healthcare, with opportunities to learn from experts in both clinical and technical domains. The company values transparency, social good, continuous learning, and integrity.

This role offers competitive compensation and benefits, flexible remote work arrangements (US-based preferred), and the chance to work on meaningful problems in healthcare. You'll be part of an international team that embraces diversity and equal opportunities, working towards the goal of bringing higher quality healthcare to millions of patients worldwide.

Last updated 17 days ago

Responsibilities For Junior Data Engineer (Healthcare Data Operations)

  • Operating and supporting internal data workflows using a range of tools and platforms
  • Proactively monitoring and improving data operation pipelines as well as debugging and resolving data related issues
  • Collaborating with cross-functional teams — clinical, engineering, product, and commercial — to support project delivery
  • Performing quality checks and supporting de-identification efforts to ensure patient privacy
  • Following and reinforcing Segmed's compliance policies and data security protocols
  • Managing multiple projects and shifting priorities in a dynamic environment

Requirements For Junior Data Engineer (Healthcare Data Operations)

Python
  • 1–4 years of experience in a data engineering, technical operations, or software support role
  • Proficiency in Python, SQL and familiarity with bash, Git, file formats, and data wrangling
  • Comfort working with healthcare data types (or interest in learning about DICOM, ECG, video, and pathology data)
  • Detail-oriented mindset, especially when working with sensitive or regulated data
  • A self-starter who takes ownership and thrives in a collaborative startup environment
  • Comfortable working in a fast-paced, startup-style environment with evolving processes
  • Strong communication and collaboration skills across technical and non-technical teams

Benefits For Junior Data Engineer (Healthcare Data Operations)

  • Flexible remote work culture (US-based preferred)
  • Competitive compensation and benefits
  • Learn fast and grow alongside clinicians, engineers, and data experts
  • Work with cutting-edge medical data types and real-world use cases