Faculty Position Posting for Statistical/Quantitative/Computational Genomics
As part of MSU’s Global Impact Initiative, Michigan State University is seeking three outstanding researchers in statistical/quantitative/computational genomics to join the faculty at the assistant/associate/full professor level.
The continued development of high-throughput technologies and of information systems that can store and process large volumes of health data have revolutionized human health research. These advancements create unprecedented opportunities for research and technology development and create new demands for education in areas such as quantitative genetics, statistical learning and data science.
Building faculty expertise and infrastructure in computational genomics, statistical and quantitative genetics, and in precision medicine is an important priority of MSU’s Global Impact Initiative. Applicants must have a
- PhD in statistics, biostatistics, computer science or related field and
- previous research experience in the use of genomic information for analysis and prediction of human traits and diseases;
- postdoctoral experience is highly preferred.
All candidates are expected to have an excellent publication record and good communication skills. Senior researchers are expected to have an established research and funding record and are expected to have experience as PI of federally funded (or equivalent for non-US applicants) grants.
The successful candidates will join a dynamic group of faculty working in quantitative, statistical and computational genomics across disciplines. Because this is part of a campus-wide MSU initiative, the open positions are not linked to specific departments. However, given the expected background and research interests of the successful candidates, the most likely tenure home departments include the Epidemiology and Biostatistics (http://www.epi.msu.edu/ ), Statistics (https://www.stt.msu.edu/ ) and Computational Mathematics, Science and Engineering (https://cmse.msu.edu/ ) departments.
Interested applicants should submit a cover letter, curriculum vitae, statement of research interests, teaching philosophy and contact information for three references through the MSU Human Resources website at Careers@MSU (Posting #4236).
Applications will be reviewed upon submission and the search will be open until suitable candidates are identified. Questions regarding application to these positions should be emailed to Search Committee Chair Gustavo de los Campos at email@example.com
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