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# Rsch Pro 1-Informatics

- **Company:** University of Minnesota
- **Location:** Minneapolis, MN, United States
- **Experience:** Experienced
- **Salary:** $49,920.0 - $58,240.0
- **Contract:** Temporary contract
- **Skills:** Java (Programming Language), Artificial Intelligence, Data Analysis, Bioinformatics, C++ (Programming Language), Computational Biology, Github, Hidden Markov Model, Statistical Hypothesis Testing, Python (Programming Language), Machine Learning, Population Genetics, High Performance Computing, Information Technology, Slurm, Programming Languages
- **Published:** September 1, 2026
- **Apply:** https://jobs.localjobnetwork.com/apply/add/84385216/1

## About the Role

BS/BA in Statistics, Math, Computer Science, Computational Biology, Bioinformatics or a combination of related education and work experience to equal four years.

 - Experience in Python, Rust, R or other common programming languages (e.g., C/C++, Java). Please provide links to samples of your code (preferable on Github).
 - Familiar with at least one from each of the two skill categories:
1) Statistical:
(i) Machine learning/AI models, e.g., hidden Markov Model or transformer.
(ii) Basic statistical methods, e.g., parametric/nonparametric hypothesis testing or bootstrapping.
2) Large, complex data analysis:
(i) High-performance computing environments, e.g., SLURM
(ii) Analyzing genomic sequencing data.

Preferred Qualifications:

 - Knowledge of evolutionary biology and/or population genetics
 - Knowledge with genetics/genomics.
 - Experience with next generation short- and/or long-read sequencing
About the Department

## Description

This position is for a statistical programmer in genomics (PI: Dr. PingHsun Hsieh, the Department of Genetics, Cell Biology, and Development). Primary responsibilities include conducting research under the supervision of the Principal Investigator and performing lab research and management duties. The hired researcher is expected to interact with and communicate well with other lab members with goals associated with the lab's research., *85% Perform research

 - Design and implement computational and statistical approaches to analyze large genomic datasets.
 - Participate in lab presentations and discussions.
 - Compile and report findings in meetings.
 - Communicate effectively with lab members and collaborators to facilitate research works.
 - Literature review and protocol development to stay updated on current research.

*15% Assist with laboratory functions

 - Contribute to grant writing and manuscript preparation.
 - Design and maintain the lab website.


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