Postdoctoral AI & Bioinformatics Scientist

University of Minnesota; United States; Hybrid; USD 63,000 - 77,000; Full time

Benefits offered by this job

Paid holidays

Medical plans

HSA contributions

Wellbeing program

Job summary

The Laboratory for Mathematical, Computational, and Statistical Modeling at the University of Minnesota seeks a Post-Doctoral Associate to develop mathematical and statistical models, ML methods, and AI workflows for biomedical projects. Collaboration with The Hormel Institute and external partners is expected.

The successful candidate will analyze data, publish findings, contribute to proposals, mentor students, and advance research ideas while maintaining high standards of professionalism and

Qualifications

• Ph.D. or equivalent degree required.
• Experience in mathematical modeling, data analysis, or ML.
• Ability to communicate research methods in writing and presentations.

Responsibilities

• Develop and evaluate mathematical and statistical models, ML approaches, and AI workflows.
• Analyze data, assess model performance, and document methods for reproducibility.
• Advance projects independently with mentor coordination and align with lab priorities.
• Prepare manuscripts and contribute to grant proposals and fellowships.
• Collaborate with The Hormel Institute and external partners on interdisciplinary projects.
• Mentor students and support training and dissemination of results.

Skills

Python

R

MATLAB

Julia

Data analysis

Education

PhD or equivalent

博士號 equivalent?

Job description

The Laboratory for Mathematical, Computational, and Statistical Modeling at the University of Minnesota seeks a Post-Doctoral Associate to develop mathematical and statistical models, ML methods, and AI workflows for biomedical projects. Collaboration with The Hormel Institute and external partners is expected.

The successful candidate will analyze data, publish findings, contribute to proposals, mentor students, and advance research ideas while maintaining high standards of professionalism and