Assistant Professor in Biostatistics, Data Science, and Epidemiology

at  Augusta University

JOB SUMMARY

Job ID 272539
Position # 40032638
The Department of Biostatistics, Data Science and Epidemiology (BDSE) in the School of Public Health at Augusta University (AU) invites applications for a non-tenure track faculty position in Biostatistics and Data Science at the Assistant Professor rank. This is a full-time position, and the faculty will conduct collaborative research and provide statistical services through the Statistical Consulting Center (SCC) of BDSE. Interest and ability in collaborative research within and outside of AU, as well interest and ability in teaching a few biostatistics and data science courses will be important factors in the selection of candidates. The position will remain open until filled.

REQUIRED QUALIFICATIONS

The candidate for this position must have a Ph.D. in Bioinformatics, Biostatistics, Data Science, Statistics or closely related field. The candidate must have a wide breadth of knowledge of statistical methodology and have experience using SAS, R, Python, etc. The candidate must have excellent oral and written communication skills. The candidate should be able to work independently and must exercise a high level of judgment and initiative. The candidate must be motivated to learn new skills as needed.
Assistant Professor- Early level career as a faculty member.

Required faculty employment qualifications for all USG institutions and all academic ranks within these institutions shall be:

• Consistent with the Southern Association of Colleges and Schools Commission on Colleges (SACSCOC)’s requirements for institutional accreditation;
• Evidence of ability as a teacher;
• Evidence of activity as a scholar and ability in all other duties assigned;
• Successful experience (which will necessarily be waived for those just entering the academic profession who meet all other requirements); and,
• Desirable personal qualities judged on the basis of personal interview, complete biographical data, and recommendations.

ABOUT US

Augusta University is Georgia’s innovation center for education and health care, training the next generation of innovators, leaders, and healthcare providers in classrooms and clinics on four campuses in Augusta and locations across the state. More than10,500 students choose Augusta for educational opportunities at the center of Georgia’s cybersecurity hub and experiential learning that blends arts and application, humanities, and the health sciences. Augusta is home to Georgia’s only public academic health center, where groundbreaking research is creating a healthier, more prosperous Georgia, and world-class clinicians are bringing the medicine of tomorrow to patient care today. Our mission and values make Augusta University an institution like no other.
The University System of Georgia is comprised of our 26 institutions of higher education and learning as well as the System Office. Our USG Statement of Core Values are Integrity, Excellence, Accountability, and Respect. These values serve as the foundation for all that we do as an organization, and each USG community member is responsible for demonstrating and upholding these standards. More details on the USG Statement of Core Values and Code of Conduct are available in USG Board Policy 8.2.18.1.2 and can be found on-line at https://www.usg.edu/policymanual/section8/C224/#p8.2.18personnelconduct.
Additionally, USG supports Freedom of Expression as stated in Board Policy 6.5 Freedom of Expression and Academic Freedom found on-line at https://www.usg.edu/policymanual/section6/C2653.

The new faculty will report to the SCC Director and the BDSE Department Chair and conduct research projects coming to the SCC. The faculty will work with the Director of SCC and reach out to the campus and the community outside of Augusta University for collaborative research opportunities and to develop contracts for the SCC. The new faculty will provide research services, including design of clinical trials, experimental design, power and sample size estimation, randomization, data management, modeling, traditional statistical data analysis, genomic data analysis, collaborative grant writing, interpretation and manuscript preparation. The faculty will also teach in the department.