The Role
Lead the design and deployment of machine learning models and AI systems in healthcare, conduct data analysis, optimize algorithms, mentor junior staff, and ensure compliance with healthcare regulations.
Summary Generated by Built In
Requisition Number: 2360136
Optum 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. Here, you will find a culture guided by inclusion, talented peers, comprehensive benefits and career development opportunities. Come make an impact on the communities we serve as you help us advance health optimization on a global scale. Join us to start Caring. Connecting. Growing together.
Primary Responsibilities:
Required Qualifications:
Preferred Qualifications:
Core:
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.
Optum 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. Here, you will find a culture guided by inclusion, talented peers, comprehensive benefits and career development opportunities. Come make an impact on the communities we serve as you help us advance health optimization on a global scale. Join us to start Caring. Connecting. Growing together.
Primary Responsibilities:
- Lead the design, development, and deployment of machine learning models and AI systems to address healthcare challenges
- Conduct comprehensive data analysis and interpret complex healthcare data to provide actionable insights
- Collaborate with cross-functional teams, including clinicians, researchers, and IT, to identify business needs and translate them into technical solutions
- Develop and implement advanced algorithms and statistical models to solve healthcare-specific problems, such as predictive analytics, patient risk stratification, and medical image analysis
- Optimize and enhance existing machine learning models for better performance and scalability in healthcare settings
- Develop and integrate generative AI models and large language models (LLMs) for tasks such as medical text generation, data augmentation, and synthetic data generation
- Stay updated with the latest advancements in AI/ML technologies and integrate them into ongoing healthcare projects
- Mentor and guide junior data scientists and engineers, fostering a culture of continuous learning and improvement
- Communicate findings and recommendations to stakeholders through reports, presentations, and visualizations
- Ensure data integrity, accuracy, and security, complying with healthcare regulations such as HIPAA
- Develop and maintain documentation for models, processes, and systems
- Comply with the terms and conditions of the employment contract, company policies and procedures, and any and all directives (such as, but not limited to, transfer and/or re-assignment to different work locations, change in teams and/or work shifts, policies in regards to flexibility of work benefits and/or work environment, alternative work arrangements, and other decisions that may arise due to the changing business environment). The Company may adopt, vary or rescind these policies and directives in its absolute discretion and without any limitation (implied or otherwise) on its ability to do so
Required Qualifications:
- Undergraduate degree
- Bachelor's degree in Computer Science, Data Science, Statistics, Mathematics, or a related field
- Python, AI, and any Cloud experience
- Solid experience with machine learning frameworks and libraries such as TensorFlow, PyTorch, scikit-learn, and Keras
- Experience with generative AI models, including GANs, VAEs, and transformers, and their applications in healthcare
- Experience with large language models (LLMs) like GPT, Llama, BERT, or similar technologies, and their applications in healthcare
- Experience with big data technologies like Hadoop, Spark, and distributed computing environments
- Experience with version control systems like Git and collaborative platforms like GitHub or Bitbucket
- Proficiency in programming languages such as Python, R, Java, or Scala
- Deep understanding of statistical analysis, data mining, and data visualization techniques
- Expertise in healthcare-specific AI domains such as natural language processing (NLP) for medical records, computer vision for medical imaging, and predictive modelling for patient outcomes
- Solid knowledge of SQL and NoSQL databases
- Familiarity with healthcare data standards and regulations (e.g., HL7, FHIR, HIPAA)
- Familiarity with cloud platforms such as AWS, Google Cloud, or Azure
- Proven excellent problem-solving skills and ability to work on complex projects with minimal supervision
- Proven solid communication skills, both written and verbal, with the ability to explain complex technical concepts to non-technical stakeholders, including healthcare professionals
Preferred Qualifications:
- Relevant certifications in AI/ML technologies and healthcare data analytics
- 3+ years of experience in data science, machine learning, or AI engineering roles, preferably in the healthcare sector
- Experience in leading and mentoring technical teams
- Experience working with electronic health records (EHR), medical imaging, and other healthcare data sources
- Proven track record of successfully delivering AI/ML projects from conception to deployment
Core:
- Programming and Development
- Solid proficiency in Python / R / Java / Scala
- Experience with version control (Git) and collaborative workflows (GitHub/Bitbucket)
- Machine Learning and AI Expertise
- Hands-on experience with ML frameworks:
- TensorFlow
- PyTorch
- Scikit-learn
- Keras
- Experience in optimizing and scaling ML models
Ability to design, build, and deploy ML models end-to-end
- Hands-on experience with ML frameworks:
- Statistics and Data Science Fundamentals
- Solid understanding of:
- Statistical analysis
- Data mining techniques
- Data visualization
- Ability to analyze complex data and generate actionable insights
- Solid understanding of:
- Advanced AI Capabilities (Critical for this role)
- Experience with:
- Generative AI models (GANs, VAEs, transformers)
- Large Language Models (LLMs) like GPT, BERT, etc.
- Knowledge of:
- NLP (Natural Language Processing)
- Predictive modelling
- Experience with:
- Data and Big Data Technologies
- Solid experience with:
- SQL and NoSQL databases
- Exposure to:
- Big data technologies (Hadoop, Spark, distributed systems)
- Solid experience with:
- Cloud and Platform Knowledge
- Familiarity with at least one:
- AWS / Azure / Google Cloud
- Familiarity with at least one:
- Problem Solving and Engineering Mindset
- Solid analytical and problem-solving skills
- Ability to handle complex projects independently
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.
Skills Required
- Undergraduate degree
- Bachelor's degree in Computer Science, Data Science, Statistics, Mathematics, or a related field
- Solid experience with machine learning frameworks and libraries such as TensorFlow, PyTorch, scikit-learn, and Keras
- Experience with generative AI models, including GANs, VAEs, and transformers, and their applications in healthcare
- Experience with large language models (LLMs) like GPT, Llama, BERT, or similar technologies, and their applications in healthcare
- Experience with big data technologies like Hadoop, Spark, and distributed computing environments
- Proficiency in programming languages such as Python, R, Java, or Scala
- Familiarity with healthcare data standards and regulations (e.g., HL7, FHIR, HIPAA)
- Familiarity with cloud platforms such as AWS, Google Cloud, or Azure
Optum Compensation & Benefits Highlights
-
Healthcare Strength — Health coverage offers copay and HSA medical options with dental, vision, company‑paid life and disability, and free or low‑cost virtual visits. Feedback suggests the offering is comprehensive and competitive on paper.
-
Parental & Family Support — Time off and family supports include PTO, eight paid holidays plus a floating day, six weeks paid parental leave, up to two weeks paid caregiver leave, Bright Horizons back‑up care, and adoption assistance up to $10,000. Feedback suggests these resources are meaningful for caregivers and family needs.
-
Retirement Support — Savings programs include a 401(k) with employer match (after one year, vesting after two) and a 10%‑discount Employee Stock Purchase Plan. These programs bolster long‑term financial security when combined with other savings resources.
Optum Insights
Am I A Good Fit?
Get Personalized Job Insights.
Our AI-powered fit analysis compares your resume with a job listing so you know if your skills & experience align.
Success! Refresh the page to see how your skills align with this role.
The Company
What We Do
Optum, part of the UnitedHealth Group family of businesses, 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. Here, you will find a culture guided by inclusion, talented peers, comprehensive benefits and career development opportunities. Come make an impact on the communities we serve as you help us advance health optimization on a global scale. Join us to start Caring. Connecting. Growing together. At Optum, we support your well-being with an understanding team, extensive benefits and rewarding opportunities. By joining us, you’ll have the resources to drive system transformation while we help you take care of your future. We recognize the power of connection to drive change, improve efficiency and make a difference in health care. Join a team where your skills and ideas can make an impact and where collaboration is key to creating technology that produces healthier outcomes.
Gallery
Optum Offices
Hybrid Workspace
Employees engage in a combination of remote and on-site work.
Optum has three workplace models that balance the needs of the business and the responsibilities of each role. These models, core on‑site (5 days/week), hybrid (4 days/week) and telecommute or fully remote, vary by country, role and location.
Typical time on-site:
Not Specified
