[Hiring] AI Governance Data Scientist @UnitedHealth Group

Role Description

This role is part of UnitedHealth Group’s Responsible AI (RAI) Program, sitting within the program’s data science center of excellence. This position combines data science with healthcare innovation, AI ethics, and regulatory compliance, providing a unique opportunity to help shape the future of AI applications in healthcare. In this role, you will collaborate with cross-functional teams to refine AI methodologies, develop and validate robust testing protocols to identify potential model failures.

A successful candidate will interact with diverse teams using a wide variety of AI methods and validate test plans and results. The role also requires the ability to write clear documentation on use-case specific testing requirements. You will also engage with stakeholders to advocate for and drive the adoption of responsible AI practices, providing a unique opportunity to shape the future of ethical AI applications in healthcare.

You’ll enjoy the flexibility to work remotely from anywhere within the U.S. as you take on some tough challenges.

Primary Responsibilities:

• Clearly communicate with diverse teams including legal, compliance, and AI development over a wide variety of AI methods including Generative AI and traditional ML.
• Document findings, create reports, and present results to stakeholders.
• Design and develop job aids and guidance documentation for best practices of responsible AI.
• Develop Python scripts to automate testing processes and analyze results.
• Explore AI tools to enhance and improve Responsible AI and AI Review Board processes.
• Help identify vulnerabilities related to PII/PHI exposure in AI interactions.
• Maintain test data sets and contribute to improving testing methodologies.
• Stay abreast of the latest developments in AI/ML research and incorporate relevant findings into work.
• Provide mentorship and guidance to colleagues, fostering a culture of continuous learning and improvement.
• Assist in designing and executing Red Team testing scenarios for conversational AI systems.

Qualifications

• 7+ years of experience as a practitioner in an artificial intelligence field.
• 5+ years of experience in the full AI lifecycle including development, deployment, and maintenance.
• 5+ years of extensive development experience with traditional AI modeling.
• 5+ years of experience with Generative AI-based models and modern agentic techniques and technologies.
• Experience collaborating with cross-functional teams and communicating analytical findings to stakeholders to support decision-making and problem resolution.
• Demonstrated understanding of AI ethics and fairness considerations.

Preferred Qualifications

• 4+ years of experience in software engineering.
• Experience with AI governance programs.
• Experience collaborating with cross-functional teams including product managers and business stakeholders.
• Experience with conversational AI, including speech-to-text.
• Knowledge of large language models, prompt engineering, and adversarial testing.
• Basic understanding of information security principles.
• Familiarity with healthcare systems including claims payment and call centers.
• Awareness of regulatory frameworks relevant to AI in healthcare.
• Ability to translate business needs into technical solutions.

Requirements

• *All employees working remotely will be required to adhere to UnitedHealth Group’s Telecommuter Policy.

Benefits

• Pay is based on several factors including but not limited to local labor markets, education, work experience, certifications, etc.
• In addition to your salary, we offer benefits such as a comprehensive benefits package, incentive and recognition programs, equity stock purchase, and 401k contribution (all benefits are subject to eligibility requirements).
• The salary for this role will range from $134,600 - $230,800 annually based on full-time employment.
• We comply with all minimum wage laws as applicable.

Application Deadline

This will be posted for a minimum of 2 business days or until a sufficient candidate pool has been collected. Job posting may come down early due to volume of applicants.