This Principal-level role serves as a senior technical evaluation and AI governance expert within a multidisciplinary team supporting the UHC Clinical AI Governance Council, ensuring AI-enabled clinical products are appropriately tested, evaluated, and documented prior implementation.
Locations (3)
United States
Minneapolis, Minnesota, United States
Washington, District of Columbia, United States
Responsibilities
Partner with Council leadership and program consultants to apply the submission framework to each use case, ensuring analytic components align the AI’s intended use and defined risks, metrics, and thresholds
Define use case-specific measurable performance, success criteria, translating clinical risks into measurable metrics and thresholds for decision-making
Ensure complete and clearly defined evaluation methods at intake, including data, populations, comparators, metrics, test methods, and study design
Seeking a Data Engineer with 4–6 years of experience to design and implement scalable data processing systems on Azure.
Compensation
65,000 – 85,000 MXN
Responsibilities
Build data pipelines to ingest, integrate, and transform data from databases, APIs, and streaming platforms.
Design and optimize data models and storage architectures (data lakes, data warehouses, distributed file systems), using partitioning, compression, indexing, query tuning, and caching.
Collaborate with data scientists, analysts, and business stakeholders in an Agile/Scrum environment.
Principal Clinical AI Evaluation Specialist - MN PreferredUnitedHealth Group · Remote, US+2 more