AI and Data Science Lead, Kelsey-Seybold Clinic, Houston, Texas

Explore opportunities with Kelsey-Seybold Clinic, part of the Optum family of businesses. Work with one of the nation’s leading health care organizations and build your career at one of our 40+ locations throughout Houston. Be part of a team that is nationally recognized for delivering coordinated and accountable care. As a multi-specialty clinic, we offer care from more than 900 medical providers in 65 medical specialties. Take on a rewarding opportunity to help drive higher quality, higher patient satisfaction and lower total costs. Join us and discover the meaning behind Caring. Connecting. Growing together.

Primary Responsibilities:

• Serve as a strategic and hands-on leader in AI and Data Science, driving the development, integration, and governance of AI initiatives across enterprise systems
• Lead the implementation of AI solutions in collaboration with third-party vendors, including Epic, and act as the primary liaison with the internal
• Office for Responsible AI
• Bring deep technical expertise in AI/ML, experience in healthcare data environments, and a commitment to ethical, impactful innovation
• Support organizational goals through responsible AI practices and cross-functional collaboration

You’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 Qualifications:

• Bachelor’s degree or higher in Computer Science, Data Science, Engineering, or related field
• 5+ years of experience in AI or Machine Learning development, including 2+ years in strategic and/or leadership roles
• Hands-on experience deploying and managing large language models (LLMs)

• Hands-on experience with AI/ML tools and frameworks,(such as Python, 

  TensorFlow, PyTorch, and Scikit-learn)

   

Preferred Qualifications: 

• Master’s degree in Computer Science, Data Science, Engineering, or related field
• AI/ML related certifications
• Experience working with or alongside large healthcare delivery environment, preferably with Epic
• Knowledge of HL7, FHIR, and other healthcare interoperability standards 
• Exposure to cloud platforms (e.g., Azure, AWS, GCP) and MLOps practices

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). No matter where or when you begin a career with us, you’ll find a far-reaching choice of benefits and incentives. The salary for this role will range from $110,200 to $188,800 annually based on full-time employment. We comply with all minimum wage laws as applicable.

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.

OptumCare 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.

OptumCare is a drug-free workplace. Candidates are required to pass a drug test before beginning employment.