Sr Principal Data Scientist - Remote
Optum - Eden Prairie, MN
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OverviewOptum is a global organization that delivers care, aided by technology to help millions of people live healthier lives. The work you do with our team will directly improve health outcomes by connecting people with the care, pharmacy benefits, data and resources they need to feel their best. You will find talented peers, comprehensive benefits and career development opportunities. Come make an impact on the communities we serve as you help us advance health equity on a global scale. Join us to start Caring. Connecting. Growing together.This role is part of UnitedHealth Group's Responsible AI 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. They will design and oversee testing and monitoring plans for novel use cases across a wide spectrum of types of AI and healthcare applications. The role will participate in UHG's external industry groups involved with AI policy. The role requires 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.This role offers the flexibility to work remotely from anywhere within the U.S. as you take on some tough challenges.Primary ResponsibilitiesDesign and write new guidelines for AI testing and ongoing monitoringDesign and document improved testing methodologies, especially for novel use casesClearly communicate with diverse teams including legal, compliance, and AI development over a wide variety of AI methods including Generative AI and traditional MLDocument findings, create reports, and present results to stakeholdersDevelop job aids and guidance documentation for best practices of responsible AIHelp identify vulnerabilities related to PII/PHI exposure in AI interactionsStay abreast of the latest developments in AI/ML research and incorporate relevant findings into workProvide mentorship and guidance to colleagues, fostering a culture of continuous learning and improvementYou'll be rewarded and recognized for your performance in an environment that will challenge you and give you clear direction on what it takes to succeed in your role as well as provide development for other roles you may be interested in.Required QualificationsBachelor's degree plus 8+ years of experience in computer science, applied mathematics, applied statistics, or related quantitative fieldsProven deep understanding of AI ethics and fairness considerationsProven solid analytical and problem-solving skillsProficiency in the full machine learning lifecycle including development, deployment, and monitoringExtensive experience with advanced natural language processing models and clinical natural language processing, clinical de-identification, and clinical annotationPreferred QualificationsDemonstrated familiarity with healthcare systems including claims payment and call centersAbility to translate business needs into technical solutionsExperience collaborating with cross-functional teams including product managers and business stakeholdersProven knowledge of large language models, conversational AI, prompt engineering, and adversarial testingHistory of delivering production systems that include clinical natural language processing, sentiment analysis, text classification, medical/health informatics, clinical de-identification, and clinical annotationAwareness of regulatory frameworks relevant to AI in healthcareAll employees working remotely will be required to adhere to UnitedHealth Group's Telecommuter Policy.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. No matter where or when you begin a career with us, you will find a broad range of benefits and incentives. The salary for this role will range from $132,200 to $226,600 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.At UnitedHealth Group, our mission is to help people live healthier lives and make the health system work better for everyone. We believe everyone—of every race, gender, sexuality, age, location and income—deserves the opportunity to live their healthiest life. Today, however, there are still far too many barriers to good health which are disproportionately experienced by people of color, historically marginalized groups and those with lower incomes. We are committed to mitigating our impact on the environment and enabling and delivering equitable care that addresses health disparities and improves health outcomes - an enterprise priority reflected in our mission.UnitedHealth Group is an Equal Employment Opportunity employer under applicable law and qualified applicants will receive consideration for employment without regard to race, national origin, religion, age, color, sex, sexual orientation, gender identity, disability, or protected veteran status, or any other characteristic protected by local, state, or federal laws, rules, or regulations.UnitedHealth Group is a drug-free workplace. Candidates are required to pass a drug test before beginning employment. #J-18808-Ljbffr
Created: 2025-09-17