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.
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.
How to Apply
To apply, please submit the following materials:
- 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.
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 and applications to Jonathan Terhorst at jonth@umich.edu.
U-M EEO/AA Statement
The University of Michigan is an equal opportunity/affirmative action employer.
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Regards,
Jonathan Terhorst
Associate Professor of Statistics
University of Michigan

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