Staff Software Engineer, Data

Paradigm is an innovative healthcare technology company that's revolutionizing the clinical research ecosystem through their platform that democratizes access to clinical trials. As a Staff Software Engineer in the Data team, you'll play a crucial role in building and scaling the company's data infrastructure that powers clinical trial matching and research operations.

The position sits at the heart of Paradigm's technical infrastructure, where you'll work with diverse data sources including Electronic Health Records, lab providers, and Health Information Exchanges. You'll be responsible for designing and implementing data solutions that support AI/ML teams in developing classification models and patient matching heuristics, while also enabling software applications for Clinical Trial Matching and Study Conduct.

This role offers a unique opportunity to make a significant impact on healthcare accessibility while working with cutting-edge data technologies. You'll lead technical architecture decisions, mentor team members, and collaborate with cross-functional teams to build robust data solutions. The ideal candidate brings deep expertise in database technologies, distributed systems, and cloud computing, with a strong focus on technical architecture and data modeling.

Working at Paradigm means joining a mission-driven company backed by leading healthcare and life sciences investors, including ARCH Venture Partners. The company culture emphasizes diversity, inclusion, and equal opportunity, creating an environment where innovative solutions can flourish. You'll be part of a team that's not just building technology, but actively working to bring potentially life-saving therapies to patients faster.

The role requires a blend of technical expertise and leadership skills, as you'll be responsible for shaping the engineering vision while ensuring data quality, accessibility, and security. You'll work with modern data tools and technologies, including cloud platforms, ETL orchestration tools, and data warehouses, while having the opportunity to influence the technical direction of a platform that's making a real difference in healthcare accessibility.