Temp Julia Programming Jobs in Michigan (NOW HIRING)

How to Apply
To apply, please submit the following materials via email to: [email protected]

• A cover letter summarizing research experience and interests
• Curriculum vitae, including publications and/or preprints
• Contact information for three references

Applications will be reviewed on a rolling basis until the position is filled.
Job Summary
The Terhorst Lab in the Department of Statistics at the University of Michigan is recruiting a postdoctoral research fellow in statistical genetics and computational genomics. The position is part of a collaborative project with the University of Edinburgh and the University of Oxford focused on developing scalable methods for complex trait analysis using ancestral recombination graphs (ARGs).
Research areas include statistical/quantitative/population genetics, genealogical inference, machine learning, genetic prediction, genome-wide association studies, scalable linear mixed models, and efficient algorithms for large-scale genomic data analysis.
This is a one-year appointment starting as early as possible, with renewal possible based on the availability of funds, availability of work, and satisfactory performance.
Responsibilities*

• Develop novel statistical and computational methods for ARG-based quantitative genetics
• Analyze large-scale genetic and phenotypic datasets
• Implement scalable software and algorithms for genomic inference
• Collaborate with researchers across statistics, genetics, and computational biology
• Contribute to manuscripts, presentations, and open-source software development
• Participate in interdisciplinary collaborations related to predictive breeding and genome editing
• Travel to the United Kingdom to collaborate with project partners at the University of Edinburgh and the University of Oxford

Required Qualifications*

• PhD in statistics, computer science, computational biology, genetics, applied mathematics, or a related quantitative field is required
• Proof of degree completion must be in hand on or before the start date
• Strong programming and computational skills
• Experience with statistical modeling, machine learning, or large-scale data analysis

Desired Qualifications*

• Experience with population genetics or statistical genetics
• Familiarity with Bayesian methods, probabilistic modeling, or graphical models
• Experience with scientific computing in Python, JAX, Torch, Julia, C++, or related languages
• Experience with high-performance computing or scalable algorithms
• Interest in interdisciplinary research spanning genomics and evolutionary biology

Modes of Work
The position is on-site in Ann Arbor, Michigan.
Additional Information
Salary and Benefits: Salary will be commensurate with experience and is expected to be in the range of $65,000 - $80,000 per year, plus benefits and a $3,000 relocation assistance bonus.
Background Screening
The University of Michigan conducts background checks on all job candidates upon acceptance of a contingent offer and may use a third-party administrator to conduct background checks. Background checks are performed in compliance with the Fair Credit Reporting Act.
Contact Information
Please direct questions about the position to Jonathan Terhorst at [email protected] .
Please direct questions about how to apply to: [email protected]
U-M EEO Statement
The University of Michigan is an Equal Opportunity Employer. We are committed to providing an environment of mutual respect where equal employment opportunities are available to all applicants, including protected veterans and individuals with disabilities.
Job Detail
Job Opening ID
277543
Working Title
Department of Statistics RESEARCH FELLOW
Job Title
RESEARCH FELLOW
Work Location
Ann Arbor Campus
Ann Arbor, MI
Modes of Work
Onsite
Full/Part Time
Full-Time
Regular/Temporary
Regular
FLSA Status
Exempt
Organizational Group
College Of Lsa
Department
LSA Statistics
Posting Begin/End Date
5/12/2026 - 7/11/2026
Salary
$65,000.00 - $80,000.00
Career Interest
Research Fellows