UC Merced Prof of Biostatistics

The University of California, Merced is a dynamic new university campus in Merced, California, which opened in September 2005 as the tenth campus of the University of California and the first American research university in the 21st century. In keeping with the mission of the University to provide teaching, research and public service of the highest quality, UC Merced offers research-centered and student-oriented educational opportunities at the undergraduate, master’s and doctoral levels through three academic schools: Engineering, Natural Sciences and Social Sciences/Humanities/Arts.

http://jobs.ucmerced.edu/n/academic/position.jsf?positionId=3D4252
The Molecular Cell Biology group in the School of Natural Sciences at the University of California, Merced invites applications from exceptional scholars and teachers at the Assistant Professor (tenure track) level in Biostatistics.

Biostatistics is the development and use of statistical methods for medical and biological datasets including, but not limited to applications in experimental design, quantitative biology, epidemiology, medical informatics, nutrition, evolutionary biology, sequence bioinformatics, genomics, metabolomics, and systems biology. Current strengths of the Molecular Cell Biology group at UC Merced include cancer metabolism, diabetes, inflammation, infectious disease, and mechanisms of cell fate decisions. Ideally, applicants should demonstrate successful grantsmanship and nationally recognized research. We encourage applications from women and members of ethnic minorities.

The University of California at Merced is an affirmative action/equal opportunity employer with a strong institutional commitment to the achievement of diversity among its faculty, staff, and students. The University is supportive of dual career couples.

Qualifications:  Strong applicants should have a Ph.D. and show a track-record in development and/or application of methods in biostatistics, biomedical informatics, epidemiology, multiple hypothesis testing, Bayesian estimation and model selection, Markov chain Monte Carlo, machine learning and/or other areas. The successful candidate will be expected to cultivate collaborative research relationships with faculty in biology, health sciences, and may also collaborate with applied mathematics.

Other qualifications include:
(1) Quality, importance, and impact of past and current research in an area of biostatistics as judged by publications, awards, and letters of recommendation.

(2) External funding history or potential for obtaining external funding.

(3) Likely importance and impact of future research as judged by research plan and
letters of recommendation.

(4) Research interests that complement and strengthen those of current faculty
in the biological sciences.

(5) Potential ability to mentor graduate and/or post-graduate students and to contribute to graduate education and training, particularly of minorities underrepresented in health and
STEM fields.

(6) Potential effectiveness as an educator at both undergraduate and graduate levels based on teaching statement, experience, teaching evaluations, and letters from former students (as available).

Closing Date:         12/10/2012