What are the responsibilities and job description for the Department of Statistics RESEARCH FELLOW position at University of Michigan?
How to Apply
To apply, please submit the following materials via email to: [email protected]
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*
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 employment opportunity employer.
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
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
- 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
- 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
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 employment opportunity employer.
Salary : $65,000 - $80,000