Health AI Engineer

Location

Twin Cities

Job Family:
Research. Full/Part Time:
Full-Time. Regular/Temporary:
Regular.

Duties/Responsibilities:

Health AI Research and Engineering - 50%

• Design, implement, test, and evaluate AI, machine learning, NLP, generative AI, and data science methods for healthcare and biomedical research projects.
• Conduct computational experiments using EHR data, clinical text, and other structured and unstructured biomedical datasets.
• Develop reproducible research pipelines, software tools, and AI systems to support research studies and translation of research methods into usable solutions.

Research Development and Evaluation - 25%

• Contribute to new research projects through literature reviews, study design, data preparation, experimental design, and selection of appropriate analytical and AI methods.
• Evaluate AI systems using appropriate quantitative and qualitative methods, including assessment of accuracy, robustness, generalizability, reliability, and potential limitations.
• Analyze experimental results, troubleshoot technical issues, and recommend methodological or engineering improvements.

Scientific Communication and Collaboration - 15%

• Summarize research findings and contribute to manuscripts, technical reports, presentations, posters, grant proposals, and other scientific products.
• Communicate analytical and technical results to faculty investigators, clinicians, research scientists, engineers, students, sponsors, and other collaborators.
• Work collaboratively within multidisciplinary research teams while independently managing assigned projects and deliverables.

Project and Technical Responsibilities - 10%

• Work under general supervision with substantial latitude to determine appropriate technical approaches, prioritize assigned 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 related technologies, and assess their potential application to ongoing research.

Required Qualifications:

• B.A/B.S. in Biomedical/Health Informatics, Data Science, Computer Science, Engineering, or a related quantitative or technical discipline plus at least five years of relevant experience or a combination of education and relevant work experience to equal 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. Candidates should be able 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.

Preferred Qualifications:

• 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, RxNorm, or related standards.
• Experience with natural language processing, large language models (LLMs), generative AI, retrieval-augmented generation (RAG), and/or agentic AI systems.
• Experience…