This position has the rank of a tenure track assistant professor in the College of Medicine. The faculty of the College of Medicine seek an individual with passion to apply technical and collaborative research skills to unearthing discoveries buried in both large and small data sets generated from research programs of a diverse biomedical faculty of basic, translational and clinical researchers, and to teach statistical theories to the next generation of biomedical scientists and medical students. The successful candidate will have documented evidence of an ability to apply advanced statistical approaches to analyze large complex data (e.g. transcriptomic, proteomic), evidence of teaching excellence and will have a sound understanding and working knowledge of more routine biostatistical approaches. An individual with skills in design of experiments and a mastery of various statistical methodologies such as multivariate statistics, linear and non-linear modeling, machine learning, data integration and data mining tools is sought. The successful candidate will have a unique opportunity to interact, assist, and collaborate with a large group of scientists applying a wide array of approaches to research focused on improving human health. The role requires creativity for solving complex, non-routine data problems and flexibility to adapt to rapidly evolving advanced statistical approaches to measure and analyze complex data. In this role, the successful candidate will:
Consults and collaborates closely with faculty and student researchers to develop strategies for statistical analysis of complex and simple data sets;
Explains complex statistical concepts to non-statisticians;
Consults and collaborates closely with faculty and student researchers to select sound statistical approaches to a priori design experiments that optimize chances for project success;
Assists faculty and student researchers in grant application development to assure that statistical approaches are strong;
Teaches data science and biostatistics to medical and graduate students;
Innovates and advances data science and biostatistics in their application to improving human health through research.
Evaluates educational outcome data.
All positions at East Tennessee State University are contingent upon sufficient funding.
ETSU is committed to a diverse and inclusive workforce by ensuring all of our students, faculty, and staff work in an environment of openness and acceptance. Successful candidates should have a demonstrated commitment and contribution to fostering and advancing equity, diversity and inclusion. East Tennessee State University (ETSU) is an Equal Opportunity/Affirmative Action employer.
Job Category: Faculty
Ph.D. in statistics, biostatistics, data science, or closely related field.
Internal Number: 17401
About East Tennessee State University
Founded in 1911 (as East Tennessee State Normal School), East Tennessee State University serves over 15,000 undergraduate, graduate, and professional students. ETSU has eleven colleges and schools, including health sciences, liberal arts, education and business & technology. ETSU is centered on a warm and friendly residential campus nestled in the secure and beautiful Blue Ridge Mountains of northeast Tennessee. As part of the ETSU community, you will enjoy all the region has to offer, including snow-skiing, various festivals, numerous golf courses and lakes, popular national and state parks, whitewater rafting, the Appalachian Trail, and much more.