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.