Health AI Engineer

DataJobs; Minneapolis (MN); On-site; USD 90,000 - 150,000; Full time

Job summary

The Division of Computational Health Science (CHS) at the University of Minnesota seeks a master’s level data scientist to advance health data science, AI, and biomedical informatics through research and development.

You will design and evaluate AI/ML methods, work with EHR data and clinical text, and contribute to reproducible pipelines and publications. This onsite position is based in Minneapolis and offers collaboration across faculty and clinicians.

Qualifications

• Bachelor's degree in Biomedical/Health Informatics, Data Science, Computer Science, Engineering or related quantitative field plus 5+ years of experience; or 9+ years overall.
• Strong foundation in algorithms, data structures, software engineering principles, and computational methods.
• Proficient in Python and/or Java; SQL experience; familiarity with C/C++ or other languages.
• Experience with healthcare/biomedical data and health AI applications.
• Ability to work independently on research/engineering tasks in a rapidly evolving field.

Responsibilities

• Design, implement, test, and evaluate AI/ML/NLP methods for healthcare research.
• Run experiments using EHR data and clinical text.
• Create reproducible research pipelines, tools, and AI systems for studies.
• Support research via literature reviews, study design, data prep, and experimental design.
• Communicate results to faculty, clinicians, and collaborators.
• Summarize findings for manuscripts, reports, presentations, and grant proposals.

Skills

Python

Java

SQL

C/C++

Machine Learning

NLP

Generative AI

Data science

Education

Bachelor's degree in Biomedical/Health Informatics or related field

Tools

EHR data

SNOMED/ICD/RxNorm

Job description

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

Responsibilities

• 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

Requirements

• 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

Technologies

• 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, RxNorm

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 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

Department and Program

• 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 / Information Extraction (NLP/IE) Program brings together faculty investigators, research scientists, engineers, postdoctoral researchers, programmers, and students to develop and evaluate NLP and AI methods for clinical and biomedical applications
• Current and emerging areas include clinical NLP, large language models, generative AI, agentic AI, retrieval-augmented generation, real-world data analytics, and trustworthy health AI

Application Information

• To request an accommodation during the application process, email [e-mail]
• The University recognizes and values diversity and inclusion
• Any offer of employment is contingent upon successful completion of a background check

Location: Minneapolis, MN (onsite)

Minimum Experience: 5 years