Undergraduate Research Assistant - Genetics & Orthopedic Research Laboratory School of V
Job in
Madison, Dane County, Wisconsin, 53774, USA
Listed on 2026-01-20
Listing for:
University of Wisconsin–Madison
Apprenticeship/Internship
position Listed on 2026-01-20
Job specializations:
-
Research/Development
Data Scientist, Research Scientist, Biomedical Science, Artificial Intelligence
Job Description & How to Apply Below
Why consider this job opportunity
- Salary of $15.00 per hour
- Opportunity to work with cutting‑edge technologies in bioinformatics and AI
- Gain hands‑on experience in data analysis and machine learning applications
- Flexible work schedule with the possibility of remote work
- Collaborate with experienced bioinformatics scientists and researchers
- Contribute to innovative research projects involving genomic datasets and medical imaging
- Assist with data analysis and bioinformatics tasks under the guidance of a bioinformatics scientist
- Engage in AI automated analysis of medical images and genomic prediction for client‑owned animals
- Conduct basic bioinformatics analysis of SNP genotype data and next‑generation sequencing data
- Participate in finite element model analysis of bones
- Collaborate on research projects involving large‑scale genomic datasets
- Background in biostatistics and computation, with skills in Python and R programming
- Experience with machine learning and deep learning techniques, particularly in computer vision
- Familiarity with large‑scale genomic datasets is highly desirable
- Solid background in computer science, computational mechanics, computational biology, or biostatistics
- Availability to work a minimum of 32 hours over the summer, with variable hours during the Fall and Spring semesters
- Previous experience in bioinformatics or related research fields
- Knowledge of next‑generation sequencing technologies
- Understanding of statistical analysis and data visualization techniques
- Ability to work collaboratively in a team‑oriented research environment
We prioritize candidate privacy and champion equal‑opportunity employment. We aim to foster a fair, transparent, and secure hiring environment for all.
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