Statistics Forms

Company NameUniversity of Arizona

Position TitleAssistant/Associate Professor, Biostatistics, T/TE

Company Information

The University of Arizona Department of Epidemiology and Biostatistics (UArizona) seek candidates to fill a fiscal (12-month) position as a tenure-eligible or tenured Assistant/Associate Professor of Biostatistics.
We seek candidates with backgrounds in statistical theory and methods and AI/ML, with demonstrated expertise in the development of new methods as well as a record of collaborative research. We are particularly interested in applicants with demonstrated AI/ML interests in health science. Candidates with experience in foundational model development are encouraged to apply. A successful candidate’s research should complement current areas of strengths in the Biostatistics Program, as well as the broader college and university. The successful candidate is expected to develop and/or teach the equivalent of 2 courses per year, including graduate-level courses and/or undergraduate courses, mentor graduate students, and contribute to the research and service missions of the college. In addition, successful candidates will collaborate with the Arizona Institute for AI and Society, a University of Arizona wide strategy for national leadership positioning in responsible AI, Machine Learning and Data Science.
The MEZCOPH is currently the only nationally accredited college of public health in the state of Arizona. The College and University have numerous innovative teaching, research, and service programs and is a valued partner in community-based research projects addressing health issues relevant to border communities and indigenous populations.
The UArizona is a land grant university and Hispanic-serving institution situated in the desert Southwest along the US-Mexico Border. The university serves high percentages of Hispanic and Native American students compared with other universities in the US. The health disparities in Arizona present many unique health research opportunities. We are seeking candidates who contribute to a culture of belonging among faculty, students and staff.
Just 60 miles from the Mexican border, Tucson is a vibrant, inclusive, urban environment with world-class cuisine and a lively arts scene. Located in the lush Sonoran Desert, famous for its monumental cacti, stunning sunsets, and vibrant wildlife, Tucson is surrounded by mountains reaching over 9,000 feet, enabling outdoor adventures of all sorts, including hiking, mountain biking, rock climbing and even skiing. Tucson is easy to get around in and is consistently rated as one of the top bicycling cities in the nation.

Duties and Responsibilities

-Develop and teach 3 biostatistics courses per year.
-Supervise Masters and Doctoral students in the biostatistics program.
-Participate in intramural, extramural and outreach service.
-Develop collaborations with researchers in other departments and colleges across the University of Arizona.
-Contribute to the development and expansion of AI for Public Health Initiative across teaching, training and research.

Position Qualifications

Minimum Qualifications:
-PhD or other doctoral degree in biostatistics, statistics or strongly related field.
-Record of high-quality scientific productivity (as appropriate with rank).
-Demonstration of, or potential for, securing external research funding (as appropriate with rank).
-Teaching experience in a university classroom environment.

Preferred Qualifications:
-Enthusiasm for teaching biostatistics methods courses including methods such as causal inference and AI/ML (e.g. deep learning, language models and responsible AI).
-Experience with AI/ML development and applications in health-related research.
-Experience in foundational model development.
-Experience/potential in connecting with other disciplines in research and teaching.

Application Instructions

Please apply through:
https://arizona.csod.com/ux/ats/careersite/4/home/requisition/25407?c=arizona&sq=req25407

Email of Contact PersonEmail hidden; Javascript is required.