UnitedHealth Group is looking to solve real-world healthcare challenges by designing and implementing cutting-edge AI/machine learning solutions to prevent fraud, abuse, and waste in healthcare transactions.
Requirements
- Master’s degree or equivalent experience in Computer Science, Artificial Intelligence, Data Science, Math/Statistics, Electrical Engineering, Industrial Engineering, Bioinformatics, or another technical field that provides strong mathematical training
- 5+ years of hands-on experience with at least one programing language, such as Java, Python, PySpark, or SQL
- 5+ years’ experience detecting fraud in healthcare, banking, or security by applying deep analytics to structured and unstructured data. Skilled at extracting signals using pattern recognition, NLP, imaging, and related technologies
- Have a proven track record of developing and deploying models in cloud environments like AWS, Azure, or GCP
- Demonstrate the ability to independently initiate and drive projects from conception through to completion
- Proven effectively communicate technical concepts/results to both technical and non-technical audiences
- PhD in Computer Science, Artificial Intelligence, Data Science, Math/Statistics, Electrical Engineering, Industrial Engineering, Bioinformatics, or another technical field
Responsibilities
- Design and implement analytics or AI/ML solutions for FAW prevention, with additional opportunities to work on projects like revenue cycle management, automated medical coding, payment adjudication, and image analysis
- Collaborate with business and operations teams to translate complex requirements into actionable AI solutions and clearly communicate insights to leadership and stakeholders
- Design, train, and deploy ML models into production using techniques such as generative AI/LLMs, NLP/NLU, computer vision, deep learning, etc.
- Work with large-scale data and distributed computing frameworks to process and analyze high-volume healthcare datasets efficiently
- Apply advanced methodologies in statistics, optimization, probability theory, and machine learning to build tools, perform rigorous analysis, and deliver robust solutions using Python or similar languages
- Partner with engineering teams to implement scalable, flexible pipelines that bring AI innovations into real-world products
- Adapt to an agile, fast-paced environment, and maintain a passion for exploring and integrating cutting-edge AI technologies to support future projects
Other
- Master’s degree or equivalent experience
- 5+ years of experience
- Ability to work remotely from anywhere within the U.S.
- Must work in the office a minimum of four days per week for hires in the Minneapolis or Washington, D.C. area
- Must pass a drug test before beginning employment
