Job Description

Job Summary
The Center for Statistical Genetics (CSG) in the Department of Biostatistics at the University of Michigan has an exciting opportunity for a Bioinformatics Analyst (UM job title: Bioinformatician / Computational Biologist - Senior). You will join a highly interactive team that serves as the Informatics Research Center for NHLBI's TOPMed program. You will support the integration of metabolomics, proteomics and/or RNA-sequencing information into studies that already have whole genome sequence data for 10,000s of individuals. This is an opportunity to work in a rewarding research area that always poses new technical and computational problems.

Who We Are
We at the Center for Statistical Genetics design and carry out some of the world's largest human genetic studies with petascale genetic information, health data, and additional biological information on hundreds of thousands of human participants. We develop methods and tools that make these data and the insights they support available to thousands of researchers worldwide across academia, industry, and government.

Why Work at Michigan?
In addition to a career filled with purpose and opportunity, The University of Michigan offers a comprehensive benefits package to help you stay well, protect yourself and your family, and plan for a secure future. Benefits include:

Generous time off, including family leave
A retirement plan that provides two-for-one matching contributions with immediate vesting
Many choices for comprehensive health insurance, dental, vision
Life insurance
Long-term disability coverage
Flexible spending accounts for healthcare and dependent care expenses

For more information, please visit: https://careers.umich.edu/benefits/

Responsibilities*
Process and quality control omics data for the TOPMed Project, which has already sequenced >180,000 deep whole genomes. (20%)
Develop pipelines to process and analyze multi-omic datasets, including methylation, metabolomics, proteomics, and/or RNAseq. (20%)
Establish and maintain best practices for reproducible bioinformatic analyses. (20%)
Follow relevant scientific literature to ensure use of optimal methods and understand emerging practices across the field. (20%)
Contribute to key reports and papers for presentations and publication and present at scientific conferences. (20%)
Required Qualifications*
Ph.D. in Bioinformatics, Computational Biology, Genetics, Computer Science, or a related field.
2-5 years experience in bioinformatics or a related domain.
Proficiency in analyzing large-scale biological datasets and familiarity with sequencing technologies.
Expertise in RNA-seq or metagenomics analyses.
Proficiency in programming languages such as Python, R, Perl, or Java.
Experience with cloud computing platforms (AWS, Google Cloud) is a plus.
Proven problem-solving and analytical skills.
Demonstrated excellent written and verbal communication skills.
Experience working collaboratively in a multidisciplinary team.
Proficiency in Docker and workflow management systems (e.g., Nextflow, Snakemake).