The Snitkin Lab in the Department of Microbiology and Immunology seeks applicants for a Bioinformatician-Computational Biologist. The Snitkin Lab is comprised of an interdisciplinary group of scientists studying the evolution and transmission of antibiotic resistance. To address these research questions, we develop and apply analysis workflows to large genomic and epidemiologic data sets generated with clinical and public health collaborators. In addition, we are increasingly taking projects back to the wet lab to test hypothesis generated through big data analysis. 

We are currently looking for a staff bioinformatician to assist in maintaining the lab's reproducible workflows, implement novel data analysis workflows and lead analysis projects. In addition, this position will provide the opportunity to participate in large collaborative projects, develop analytic plans, lead manuscript drafting and contribute to grant proposals.

?      Adapting and/or implementing novel bioinformatic workflows to meet needs for emerging projects in the lab

Preforming microbial omics analyses in support of collaborative projects

Leading independent analysis projects

Staying up to date on relevant literature and state of the art tools/methods

Working with team members to advise on analysis strategies 

Preparation and participation in various within lab and collaborative meetings

        Intermediate Level: PhD degree in bioinformatics, computational biology, computer science or equivalent and a minimum of 5 years of   experience performing bioinformatics research..

?      Proficiency in R or Python for data analysis/visualization

?      Experience working on the command-line and performing analyses in high-performance compute environment

?      Experience performing microbial genomic analysis 

?      Experience analyzing and organizing large genomic data sets

?      Experience working with standard bioinformatics software tools and packages.

?      Experience devising and implementing novel analytic approaches to meet specific data analysis needs

?      Experience in pipeline construction with Snakemake or Nextflow 

?      Experience mentoring junior staff and trainees

?      Ability to work well in the context of interdisciplinary collaborations both within and external to the lab.

       Senior Level:  PhD degree in bioinformatics, computational biology, computer science or equivalent and 7+ years of experience  performing bioinformatics research.

?      Proficiency in R or Python for data analysis/visualization

?      Experience working on the command-line and performing analyses in high-performance compute environment

?      Experience performing microbial genomic analysis 

?      Experience analyzing and organizing large genomic data sets

?      Experience working with standard bioinformatics software tools and packages.

?      Experience developing, testing, documenting and publishing open-source software packages

?      Experience devising and implementing novel analytic approaches to meet specific data analysis needs, as evidence through peer-               reviewed publication

?      Experience leading writing of research manuscripts

?      Experience in pipeline construction with Snakemake or Nextflow 

?      Experience mentoring junior staff and trainees

?      Ability to work well in the context of interdisciplinary collaborations both within and external to the lab.

?      Experience in presenting data analysis to both experts and non-experts

Positions that are eligible for hybrid or mobile/remote work mode are at the discretion of the hiring department. Work agreements are reviewed annually at a minimum and are subject to change at any time, and for any reason, throughout the course of employment. Learn more about the work modes.

This position may be underfilled at a lower classification depending on the qualifications of the selected candidate.

Michigan Medicine conducts background screening and pre-employment drug testing on job candidates upon acceptance of a contingent job offer and may use a third party administrator to conduct background screenings.  Background screenings are performed in compliance with the Fair Credit Report Act. Pre-employment drug testing applies to all selected candidates, including new or additional faculty and staff appointments, as well as transfers from other U-M campuses.

The University of Michigan is an Equal Opportunity Employer. We are committed to providing an environment of mutual respect where equal employment opportunities are available to all applicants, including protected veterans and individuals with disabilities.