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Job Details

Postdoctoral Researcher: Machine Learning Methods for Single Cell Genomics

Company name
The Regents of the University of Michigan

Ann Arbor, MI
20 hit(s)  


The  Welch Laboratory 

at the University of Michigan is seeking a postdoctoral researcher to develop and apply algorithms, machine learning methods, and statistical models for analysis of single cell genomic data. Our research focuses on enabling biological discovery by applying novel computational approaches to genomic data. Broadly, we seek to understand what genes define the complement of cell types and cell states within healthy tissue, how cells differentiate to their final fates, and how dysregulation of genes within specific cell types contributes to human disease. This specific position will focus on methods for analyzing and integrating single cell RNA-seq and single cell epigenome data.

A unique benefit of this position is the rich set of collaborative opportunities available, allowing truly interdisciplinary training. Our collaborative network includes bench scientists and computational method development colleagues within the Michigan Center for Single-Cell Genomic Data Analytics (

), and more broadly within the Michigan Institute for Data Science (MIDAS). The Center hosts weekly meetings in which faculty and trainees discuss ongoing work and form new collaborations. Additional opportunities for collaboration are available with faculty in the Computer Science department.


PhD in computational biology, bioinformatics, computer science, statistics, mathematics, or related field.

The ideal candidate will have familiarity with high-throughput sequencing data. Life scientists with significant computational expertise should also apply. Additional desirable qualities include the ability to effectively work both independently and in a team, good communication skills, and a love for both computational method development and biological discovery.

How to Apply

Applications should include a brief statement of interest, CV, and complete contact information for three references.

Apply online at:

Or contact Joshua Welch at


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