http://www.stat.berkeley.edu/biostat/faculty), current activities in our group focus broadly on the development of high-dimensional, data-adaptive methods to address statistical issues in clinical and intervention trials, observational epidemiology (e.g., cancer, infectious disease), high dimensional biology (e.g., high-throughput sequencing and microarray gene expression data analysis), imaging, applications in Big Data, and studies of global health and justice. These positions are primarily responsible for teaching biostatistics to non-biostatistics students in public health, including students within the MPH program. The position will involve participation in the online MPH program (OOMPH), including the possible development and teaching of new courses. Additional responsibilities will be in the area of collaborative research and we expect the hiree to establishment/maintenance of a part-time research program, potentially linked to the focus areas of the Division of Epidemiology and Biostatistics.
Although all qualified candidates will be considered, preference will be given to candidates with experience in: Teaching biostatistics to students with limited background in statistics and mathematics. Previous mentoring students in the use of statistics in class projects and in the conduct of undergraduate and graduate research. Previous engagement in collaborative scientific research.
Basic qualifications (At the time of application): The completion of all degree requirements in Biostatistics, Statistics, Epidemiology, Economics or a related quantitative field.
Additional qualifications (At the time of start date): Completed PhD or equivalent degree in Biostatistics, Statistics, Epidemiology, Economics or a related quantitative field.
Preferred qualifications Training and experience in teaching applied statistics, and/or biostatistics, especially in large courses to non-statistically trained audiences. Demonstrated potential to develop collaborations involving contemporary public health and/or biomedical problems Demonstrated experience working with and mentoring students in use of statistics in their class work and research.
Salary and benefits: Commensurate with individual qualifications.
1. Curriculum Vitae – your most recently updated C.V. 2. Cover Letter (1-2 letter describing your teaching philosophy, research and professional goals) 3. Statement of research objectives (brief statement regarding current and future research interests) 4. Brief statement addressing past and/or potential contributions to diversity through research, teaching, and/or service 5. Reprints of three (3) relevant publications 6. Three (3) letters of reference will be requested of finalists
For questions or comment, please contact the administrator for the recruitment at firstname.lastname@example.org. Please reference job number. JPF01556
All letters will be treated as confidential per University of California policy and California state law. Please refer potential referees, including when letters are provided via a third party (i.e., dossier service or career center), to the UC Berkeley statement of confidentiality (http://apo.berkeley.edu/evalltr.html) prior to submitting their letters.
The University of California is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, age or protected veteran status. For the complete University of California nondiscrimination and affirmative action policy see: http://policy.ucop.edu/doc/4000376/NondiscrimAffirmAct
The department seeks candidates whose research, teaching, or service has prepared them to contribute to our commitment to diversity and inclusion in higher education. We are also interested in individuals who may have had nontraditional career paths or who may have taken time off for family reasons (e.g., children, disabled, or elderly), or who have achieved excellence in careers outside academe.
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