Job Description

Summary
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 (https://thesnitkinlab.com/). 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, it is anticipated that this position will provide the opportunity to participate in large collaborative projects and assist in developing analytic plans.

Mission Statement
Michigan Medicine improves the health of patients, populations and communities through excellence in education, patient care, community service, research and technology development, and through leadership activities in Michigan, nationally and internationally. Our mission is guided by our Strategic Principles and has three critical components; patient care, education and research that together enhance our contribution to society.

Why Join Michigan Medicine?
Michigan Medicine is one of the largest health care complexes in the world and has been the site of many groundbreaking medical and technological advancements since the opening of the U-M Medical School in 1850. Michigan Medicine is comprised of over 30,000 employees and our vision is to attract, inspire, and develop outstanding people in medicine, sciences, and healthcare to become one of the world’s most distinguished academic health systems. In some way, great or small, every person here helps to advance this world-class institution. Work at Michigan Medicine and become a victor for the greater good.

What Benefits can you Look Forward to?

Excellent medical, dental and vision coverage effective on your very first day
2:1 Match on retirement savings
Responsibilities*
Maintaining reproducible storage and analysis workflows.
Adapting and/or implementing novel bioinformatic workflows to meet needs for emerging projects in the lab.
Preforming genomic epidemiology analyses in support of collaborative 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.
Required Qualifications*
Senior Level:

An MS or PhD in computational biology, computer science or equivalent.
A minimum of 6 years of research experience performing bioinformatics research.
Proficiency in R or Python for data analysis/visualization.
Adept in navigating command line interface.
Experience working on the command-line and performing analyses in high-performance compute environment.
Experience analyzing and organizing large genomic data sets.
Experience working with public databases such as NCBI SRA and PATRIC.
Experience working in HPC environment.
Experience with standard bioinformatics software tools and packages.
Ability to work well in the context of interdisciplinary collaborations both within and external to the lab.
Intermediate Level:

A bachelor's degree in bioinformatics, computational biology, computer science or equivalent.
A minimum of 4 years of research experience performing bioinformatics research.
Proficiency in R or Python for data analysis/visualization.
Adept in navigating command line interface.
Experience working on the command-line and performing analyses in high-performance compute environment.
Experience analyzing and organizing large genomic data sets.
Experience working with public databases such as NCBI SRA and PATRIC.
Experience working in HPC environment.
Experience with standard bioinformatics software tools and packages.
Ability to work well in the context of interdisciplinary collaborations both within and external to the lab.
Associate Level:

A bachelor's degree in bioinformatics, computational biology, computer science or equivalent.
A minimum of 2 years of research 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 analyzing and organizing large genomic data sets.
Experience working with public databases such as NCBI SRA and PATRIC.
Experience working in HPC environment.
Experience with standard bioinformatics software tools and packages.
Ability to work well in the context of interdisciplinary collaborations both within and external to the lab.