Health AI Engineer

Join the Division of Computational Health Science (CHS) at the University of Minnesota to build and evaluate AI for healthcare and biomedical research.

• Design, implement, test, and evaluate AI, machine learning, NLP, generative AI, and data science methods for healthcare and biomedical research projects
• Run computational experiments using EHR data
  , clinical text
  , and other structured and unstructured biomedical datasets
• Create reproducible research pipelines
  , software tools, and AI systems that support research studies and translation of methods into usable solutions
• Support new research projects through literature reviews
  , study design
  , data preparation
  , experimental design
  , and selection of analytical and AI methods
• Evaluate AI systems using quantitative and qualitative approaches, including accuracy
  , robustness
  , generalizability
  , reliability
  , and potential limitations
• Analyze experimental results, troubleshoot technical issues, and recommend methodological or engineering improvements
• Summarize findings and contribute to manuscripts
  , technical reports
  , presentations
  , posters
  , and grant proposals
• Communicate analytical and technical results to faculty investigators, clinicians, research scientists, engineers, students, sponsors, and other collaborators
• Collaborate in multidisciplinary research teams while independently managing assigned projects and deliverables
• Work under general supervision with latitude to select technical approaches, prioritize activities, and make decisions within areas of responsibility
• Maintain high-quality research code, documentation, data analysis workflows, and experimental records to support reproducibility and collaboration
• Stay current with emerging developments in health AI, generative AI, agentic systems, biomedical informatics, and assess potential application to ongoing research

• B.A./B.S. in Biomedical/Health Informatics
  , Data Science
  , Computer Science
  , Engineering
  , or related quantitative/technical discipline plus at least five years of relevant experience; or a combination of education and relevant work experience totaling at least nine years
• Strong foundation in algorithms
  , data structures
  , software engineering principles
  , and computational methods
• Strong programming skills in Python and/or Java
  ; experience with SQL and familiarity with C/C++ or other programming languages
• Ability to demonstrate programming proficiency through prior projects or sample code
• Understanding of healthcare data
  , biomedical data
  , and common health AI and informatics applications
• Experience developing, implementing, testing, and evaluating data science, machine learning, or AI solutions
• Ability to work independently, manage assigned research and engineering tasks, and adapt to a rapidly evolving scientific and technical environment

• Python, Java, SQL, C/C++
• NLP, generative AI, large language models (LLMs)
• Retrieval-augmented generation (RAG), agentic AI systems
• EHR data
• UMLS, SNOMED CT, ICD, Rx Norm

• Research or applied experience in health data science, biomedical informatics, artificial intelligence, and real-world health data analytics
• Experience working with electronic health record (EHR) data, clinical text, or other large-scale biomedical datasets
• Knowledge of medical terminologies and ontologies such as UMLS
  , SNOMED CT
  , ICD
  , Rx Norm , or related standards
• Experience with natural language processing, large language models (LLMs), generative AI, retrieval-augmented generation (RAG), and/or agentic AI systems
• Experience evaluating AI systems, including model performance, robustness, generalizability, and reliability in healthcare applications
• Experience contributing to scientific publications, conference presentations, technical reports, or research proposals
• Ability to collaborate effectively with multidisciplinary teams of faculty, clinicians, research scientists, engineers, students, and other research professionals

• The Division of Computational Health Science (CHS) at the University of Minnesota seeks a master’s level data scientist for a multidisciplinary team focused on health data science, artificial intelligence, and biomedical informatics research
• Position is an annually renewable professional academic appointment
• CHS develops and applies innovative data science and AI methods to analyze complex biomedical and healthcare data, supporting biomedical research, clinical care, and learning health systems
• The Natural Language Processing /…