Interested applicants should submit a brief statement of interest, CV, and contact information for three references. For questions regarding the position, please contact Dr. Alan Boyle at email@example.com. Review of applications begins September 1, 2022.
A postdoctoral position is available with Dr. Alan Boyle in the Department of Computational Medicine and Bioinformatics at the University of Michigan Medical School. This position is focused on development and implementation of new integrative analysis techniques with a focus on interpretation of non-coding variants, their relevant functional tissues, at their affected genes. Ideal applicants will have experience with eukaryotic genetics and current computational biology and bioinformatics methodologies.
This postdoctoral position is focused on development and implementation of new integrative analysis techniques with a focus on variant interpretation using our NIH funded resource, RegulomeDB . Additional responsibilities will include collaborating with and oversight of undergraduate and graduate students working on multiple projects. Most importantly, the applicant should be a good fit for our lab culture, which is one of openness, scientific rigor, friendliness, and general good humor.
The successful applicant will be part of a cutting-edge research program with experience with large genomics studies and extensive opportunities for collaborations around the world. The lab focuses on the boundary between computational and experimental techniques and the applicants will have ample opportunity to work closely with bench research and novel datasets with the ultimate goal of developing their own research program. More information on ongoing projects is available at http://Boylelab.org/ .
The applicant should have a Ph.D. in a computational or biological field and a track record of published research commensurate with their field.
The applicant should have strong computational skills and proficiency in programming (ideally C/C++, Java, perl, python, or R).
The successful candidate will have excellent organization and communication skills, collaborative spirit and strong personal motivation.
Evidence of scholarly productivity in the form of journal articles, conference proceedings, and/or conference presentations is mandatory.
English language proficiency is required.
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