- Perform statistical and bioinformatics analyses of high throughput sequencing data including DNA methylation data, ATAC-seq, RNA-seq, ChIP-seq, exome sequencing, single cell genomics, and GWAS data.
- Participate in the execution of high throughput sequencing data, which would include cell processing, cell culture, DNA and RNA extraction.
- Participate in the design of high throughput sequencing data to study complex autoimmune and inflammatory diseases.
- Participate in research support proposal writing
A Bachelor's degree in a related science field required and a master’s degree preferred in bioinformatics, statistical genetics, or computational biology. 1 to 3 years related experience. The applicant is expected to be comfortable with computational biology and the statistical analysis of large data sets. Proficiency in programming environments such as R, Java, C++, and the ability to interpret and communicate complex bioinformatics data are required.
Professional demeanor and excellent interpersonal skills. Ability to work and communicate with a multidisciplinary team of physicians and scientists. Ability to multi-task and sustain a high level of organization while working on several research studies. Ability and desire to write and publish results generated, and deposit large data sets into the public domain.
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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.
Job openings are posted for a minimum of seven calendar days. This job may be removed from posting boards and filled anytime after the minimum posting period has ended.
U-M EEO/AA Statement
The University of Michigan is an equal opportunity/affirmative action employer.