Health AI Research Scientist — NLP & EHR

University of Minnesota; Saint Paul (MN); On-site; USD 65,000 - 89,000; Full time

Benefits offered by this job

Competitive wages

Tuition benefits

Healthcare plan

Retirement plans

Employee wellness program

Job summary

The University of Minnesota’s Division of Computational Health Science seeks a master's level data scientist to join a multidisciplinary team conducting health data science, AI, and biomedical informatics research. The position is annually renewable as a professional academic appointment.

The role focuses on health AI methods, NLP, and real-world data analytics, contributing to translational research and scientific publications within a collaborative environment.

Qualifications

• Bachelor’s in a quantitative field plus ≥5 years relevant experience or ≥9 years total experience.
• Strong foundation in algorithms, data structures, software engineering principles.
• Strong programming in Python and/or Java; SQL; familiarity with C/C++.
• Understanding of healthcare data and health AI applications.
• Experience developing, implementing, evaluating data science, ML, or AI solutions.
• Ability to work independently and manage research/engineering tasks.

Responsibilities

• Design, implement, test, and evaluate AI, ML, NLP, generative AI, and data science methods for healthcare and biomedical research.
• Conduct computational experiments using EHR data, clinical text, and other biomedical datasets.
• Develop reproducible research pipelines, software tools, and AI systems to support research and translation.
• Summarize findings and communicate results to faculty, clinicians, researchers, engineers, students, sponsors, and collaborators.
• Maintain high-quality research code, documentation, and data analysis workflows.

Skills

Python

Java

SQL

C/C++

AI/ML

Healthcare data

Education

B.A./B.S. in a quantitative field

Job description

The University of Minnesota’s Division of Computational Health Science seeks a master's level data scientist to join a multidisciplinary team conducting health data science, AI, and biomedical informatics research. The position is annually renewable as a professional academic appointment.

The role focuses on health AI methods, NLP, and real-world data analytics, contributing to translational research and scientific publications within a collaborative environment.