Career Center

Review of applications will begin immediately and continue until the position is filled.  Interested candidates should submit a PDF of their CV along with a cover letter describing their qualifications and relevant experience to Gideon Bradburd (bradburd@umich.edu).

We are currently seeking applicants for a bioinformatician position in the Bradburd lab in the Department of Ecology and Evolutionary Biology at the University of Michigan. Research in the lab is focused on the geography of evolution, and particularly on developing statistical methods for spatial population genetics/genomics. Our work combines computational and statistical approaches, with a strong emphasis on simulation and empirical data analysis.

The Bradburd lab values diversity and is committed to creating a safe, welcoming, supportive, and fun lab environment. Applications from candidates with related scientific interests who are also passionate about diversity, equity, and inclusion in STEM are strongly encouraged. The lab is located in the beautiful Museum of Natural History building on University of Michigan’s campus. Ann Arbor is consistently rated as one of the most “live-able” cities in the country.

• 50% Develop and maintain robust bioinformatic pipelines for analyzing next generation genomic sequence data, including quality control, alignment, generating basic population genetic statistics, etc.
   
• 15% Participate in the daily operation of the Bradburd lab through the design and conduct of research projects, including optimizing research protocols.
   
• 5% Review literature and evaluate bioinformatic software/tools for integration into our lab procedures.
   
• 30% Maintain detailed and accurate records of experiments and inventory of datasets, analyze data for publication, and participate in manuscript preparation.

The candidate will be expected to interact with researchers within the group, publish their work in peer-reviewed journals, and share their code openly.

The ideal candidate will be a bioinformatician or software engineer with appropriate professional experience and a background in genomic data manipulation and management,
ideally in a research environment. Also seeking a candidate with experience building robust bioinformatics pipelines, and expertise in navigating high-performance computing
environments, as well as in relevant programming languages (R, Python, C++). Expertise in population genetics is desirable but not essential.

The position is a term-limited position and will be available for up to three years (subject to annual review), with a starting salary of approximately $75,000/yr and benefits, based on education and experience of the selected candidate. The overall salary range for this position is $62,100 - $77,700.

The ideal start date is Fall 2022, but that date can be flexible for the right candidate.

As one of the world’s great liberal arts colleges, LSA pushes the boundaries of what is understood about the human experience and the natural world, and we foster the next generation of rigorous and empathetic thinkers, creators, and contributors to the state of Michigan, the nation, and the world.

To learn more about diversity, equity, and inclusion in LSA, please visit lsa.umich.edu/lsa/dei.

To learn more about LSA’s Mission, Vision and Values, please visit lsa.umich.edu/strategicvision.

The mission of the University of Michigan is to serve the people of Michigan and the world through preeminence in creating, communicating, preserving and applying knowledge, art, and academic values, and in developing leaders and citizens who will challenge the present and enrich the future.

Job openings are posted for a minimum of seven calendar days.  The review and selection process may begin as early as the eighth day after posting. This opening may be removed from posting boards and filled anytime after the minimum posting period has ended.

The University of Michigan is an equal opportunity/affirmative action employer.

U-M COVID-19 Vaccination Policy

COVID-19 vaccinations, including boosters when eligible, are required for all University of Michigan students, faculty and staff across all campuses, including Michigan Medicine.  This includes those working remotely.   More information on this new policy is available on the Campus Blueprint website or the UM-Dearborn and UM-Flint websites.