The Division of Biostatistics, School of Public Health, at the University of Minnesota is announcing an opening for a tenure-track faculty position at the Assistant Professor rank.
A successful candidate will be responsible for developing their own independent statistical methods research program, participating in collaborative research with researchers in the University of Minnesota Academic Health Center, and developing externally funded grant applications, as well as participating in the Division’s teaching program, through classroom instruction and advising students at the graduate level. The candidate will also serve on various division and school level committees.
The Division has significant strengths in the broad areas targeted by this search. Current research in statistical methodology includes causal inference, adaptive clinical trials, statistical genetics and bioinformatics including genomics and proteomics, analysis of spatial and longitudinal data, biomedical imaging, survival analysis, meta-analysis and data synthesis, and statistical methods for wearable technology. Division of Biostatistics faculty actively collaborate with researchers throughout the Academic Health Center on NIH-funded research projects related to cancer, cardiovascular disease, infectious disease, dentistry and periodontology, psychiatry/psychology, transplantation, chronic and neurodegenerative diseases, and smoking prevention. At the present time, the Division has statistical and data coordinating centers for NIH-funded clinical trials networks in HIV/AIDS, Ebola and other infectious diseases, and lower urinary tract infections and bladder health. Multi-year grants and contracts for various Divisional projects total over $150 M.
The Division of Biostatistics (www.sph.umn.edu/biostatistics) currently includes 32 graduate faculty and over 60 staff. The Division offers MS, MPH, and PhD degrees as well as a Certificate in Applied Biostatistics, and interacts in teaching, advising and research with the University of Minnesota School of Statistics. The Division currently has 92 graduate students (43 MS and 49 PhD).
The salary range for these positions will be very competitive, and the University of Minnesota offers excellent fringe benefits. Applications received on or before November 22, 2019 will be given first consideration for an interview; however, we will continue to accept applications until the positions are filled.
The University of Minnesota offers a comprehensive benefits package including:
· Competitive wages, paid holidays, vacation and sick leave · Low cost medical, dental, and pharmacy plans · Health care and dependent daycare flexible spending accounts · Excellent retirement plans with employer match · Disability and employer paid life insurance · Wellbeing program with reduced insurance premiums · Tuition reimbursement opportunities covering 75%-100% of eligible tuition · Student loan forgiveness opportunity · Opportunities for growth and promotion · Employee Assistance Program
The School of Public Health is committed to supporting an inclusive community and holistically assesses the qualifications of each applicant. In pursuit of this goal, we consider an individual’s record working with students and colleagues with diverse perspectives, experiences, and backgrounds, and experience overcoming or helping others overcome barriers to academic success.
We are especially interested in applicants with a PhD in statistics or biostatistics who have research interests in causal inference, dynamic treatment regimes, biomarker evaluation, risk prediction, longitudinal and multilevel data, and the design and monitoring of clinical trials, including those for adaptive interventions. We will however consider applications from candidates in other important related research areas, as well as those with PhDs in areas besides biostatistics or statistics.
Internal Number: 333095
About University of Minnesota, Twin Cities
The University of Minnesota, founded in the belief that all people are enriched by understanding, is dedicated to the advancement of learning and the search for truth; to the sharing of this knowledge through education for a diverse community; and to the application of this knowledge to benefit the people of the state, the nation, and the world.