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Bioinformatics Research FellowPosted by: University of Michigan
Posted date: Aug-24-2015
Location: Ann Arbor, MI
A postdoctoral research fellowship is available for a person with strong Bio-Statistics or Bio-Informatics skills on a project that is theoretically grounded in evolutionary theory and takes advantage of a three-generation prospective cohort study in Mali, West Africa. The project explores genetic imprinting and the epigenetic transmission of stunting (pathologically short stature) from parents to offspring. This position provides a unique opportunity to tap multiple generations of field data combined with state of the art molecular data generated in the Strassmann laboratory. Stunting is one of the foremost causes of the global burden of disease in low-income countries and the project therefore has great relevance to public health. The successful applicant is expected to take the lead in statistically analyzing the molecular data, in conjunction with anthropometric measurements and life history data, and be active in drafting manuscripts for publication. He or she will coordinate with senior project members, the laboratory staff, and Michigan’s Bio-Informatics Core Facility.
1. Statistical analysis of data on the intergenerational transmission of stunting.
2. Generating new quantitative approaches for the analysis of a novel longitudinal data set that combines molecular, anthropometric, and other field data.
3. Programming in R.
4. Maintaining and mining a six to twelve generation genealogical data-base on the study population in Mali.
6. Epidemiological analysis of data from a prospective cohort study.
3. Coordination with senior project members, the laboratory staff, and Michigan’s Bio-Informatics Core Facility.
7. Drafting manuscripts for publication.
5. Keeping abreast of relevant literature in evolutionary biology, molecular biology, epidemiology, and related fields.
The postdoctoral research fellow must hold a PhD in BioStatistics, Genetics, BioInformatics, Epidemiology, Evolutionary Biology, Anthropological Genetics, or a related field. Demonstrated expertise in biostatistics, strong analytical skills, enthusiasm for writing manuscripts, and demonstrated ability to write clearly in English is required. The successful applicant must show a clear interest in pursuing interdisciplinary research with the goal of becoming an independent scientist.
To apply, please visit http://umjobs.org/job_detail/114586/research_ fellow