University of Michigan, Dept of Statistics

Position ID:

UniversityofMichigan-RF [#28421]

Position Title:

Postdoctoral Research Fellow

Position Type:

Postdoctoral

Position Location:

Ann Arbor, Michigan 48109, United States of America

Subject Areas:

statistical genetics, computational genomics

Appl Deadline:

2026/06/12 23:59:59 (posted 2026/05/12, listed until 2026/06/12)

Position Description:

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 to jonth@umich.edu:

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 to Jonathan Terhorst at jonth@umich.edu.

U-M EEO/AA Statement

The University of Michigan is an equal opportunity/affirmative action employer.

We are not accepting applications for this job through MathJobs.Org right now. Please Email application materials to: jonth@umich.edu.

Contact: Jonathan Terhorst

Email: email address

Postal Mail:

: The University of Michigan
Department of Statistics
323 West Hall
1085 South University
Ann Arbor, MI 48109-1107

Web Page: http://www.stat.lsa.umich.edu/