Postdoctoral Researcher - Single-Cell Data Integration
University of Michigan
USA-MI
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. This postdoctoral position will focus on methods for analyzing and integrating
single-cell RNA-seq, single-cell epigenome data, and spatial transcriptomic data as part of two
NIH-funded projects. We have data and biological collaborators from several different systems,
including mouse bone marrow, mouse brain, and human hematopoietic stem cells. Nature Methods recently selected “Single-Cell Multimodal Omics Analysis” as the Method of the Year 2019.
Qualifications
The ideal candidate will have a PhD in computational biology, bioinformatics, computer science,
statistics, mathematics, or related field, and 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.
Job Information
Start Date: 0000-00-00
Duration: Full Time
Status: Open
Contact Information
University of Michigan
Computational Medicine and Bioinformatics
Joshua Welch
welchjd@umich.eduhttps://welch-lab.github.io/postdoctoral-job-posting.pdf How To Apply:
Email CV to welchjd@umich.edu