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Postdoctoral Research Fellow In Statistical Genetics And Computational Genomics

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 include developing novel statistical and computational methods for ARG-based quantitative genetics, analyzing large-scale genetic and phenotypic datasets, implementing scalable software and algorithms for genomic inference, collaborating with researchers across statistics, genetics, and computational biology, contributing to manuscripts, presentations, and open-source software development, participating in interdisciplinary collaborations related to predictive breeding and genome editing, and traveling to the United Kingdom to collaborate with project partners at the University of Edinburgh and the University of Oxford.

Required qualifications include a PhD in statistics, computer science, computational biology, genetics, applied mathematics, or a related quantitative field, proof of degree completion must be in hand on or before the start date, strong programming and computational skills, and experience with statistical modeling, machine learning, or large-scale data analysis.

Desired qualifications include 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, and interest in interdisciplinary research spanning genomics and evolutionary biology.

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.

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 ase direct questions about how to apply to: stat-chief admin.

U-M EEO statement: the University of Michigan is an equal employment opportunity employer.