Postdoctoral fellowship in functional genomics & sequencing technology development

University of Michigan, Department of Human Genetics
Job Location
Ann Arbor, MI 48105
commensurate with experience

The University of Michigan offers competitive salaries and excellent benefits. Ann Arbor is a diverse and progressive city of about 100,000, with excellent schools and a range of cultural activities, music and sporting events, restaurants and grocery shops rivaling those available in cities many times larger.

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

Job Description

A postdoctoral research fellowship position is available in the laboratory of Dr. Jacob Kitzman in the Department of Human Genetics and Department of Computational Medicine and Bioinformatics at the University of Michigan in Ann Arbor, MI.

Our group develops new genomics technologies to detect and study the functional impacts of genetic variation upon traits in health and disease. The specific focus of this position will be to combine experimental and computational approaches to study several genes contributing to inherited cancer syndromes.

The successful candidate will establish cell culture based functional assays for several cancer genes, adopting and improving approaches developed in our lab and elsewhere. The candidate will be expected to gain familiarity with the primary literature in areas relevant fields including DNA repair, cancer genomics, and sequencing technology. Finally, the applicant will be expected to contribute to supervision of students and technicians to work collaboratively on this and related projects.   


This position requires a highly motivated, organized individual with a demonstrated track record of innovation and independent direction. Applicant must hold a Ph.D. in a genomics-related field such as Genetics, Molecular Biology, Biochemistry, or Bioinformatics. Extensive experience in standard molecular biology, cloning techniques, and tissue culture techniques is required. Some experience with biological data analysis tools and general bio-computing skills (e.g., Linux, python, R) is required.  Additionally, prior experience with genome editing (e.g., using CRISPR/Cas or TALEN technologies) and massively parallel sequencing (e.g., Illumina) is desirable.

How to Apply

Interested candidates may email a C.V. to Dr. Kitzman (his surname followed by first initial at, in addition to applying online (


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