Assistant Professor at University of North Carolina at Chapel Hill in chapel hill, North Carolina
Posted in Other 7 days ago.
Job Description:
Department:
Biostatistics - 462001
Posting Open Date:
07/12/2024
Open Until Filled:
Yes
Position Type:
Permanent Faculty
Working Title:
Assistant Professor
Appointment Type:
Tenured/Tenure Track
Vacancy ID:
FAC0005138
Full-time/Part-time:
Full-Time Permanent
Hours per week:
40
FTE:
1
Position Location:
North Carolina, US
Hiring Range:
Dependent on Qualifications
Proposed Start Date:
01/01/2025
Be a Tar Heel!:
A global higher education leader in innovative teaching, research and public service, the
University of North Carolina at Chapel Hill consistently ranks as
one of the nation's top public universities. Known for its beautiful campus, world-class medical care, commitment to the arts and top athletic programs, Carolina is an ideal place to teach, work and learn.One of the best college towns and best places to live in the United States, Chapel Hill has diverse social, cultural, recreation and professional opportunities that span the campus and community.University employees can choose from a wide range of
professional training opportunities for career growth, skill development and lifelong learning and enjoy
exclusive perks for numerous retail, restaurant and performing arts discounts, savings on local child care centers and special rates on select campus events. UNC-Chapel Hill offers full-time employees a
comprehensive benefits package, paid leave, and a variety of health, life and retirement plans and additional programs that support a healthy work/life balance.
Primary Purpose of Organizational Unit:
The Department of Biostatistics (BIOS) is internationally recognized as a leader in Biostatistics research and training. It is one of eight departments in the Gillings School of Global Public Health whose mission is to improve public health, promote individual well-being and eliminate health inequities across North Carolina and around the world. This mission is accomplished through an outstanding program of collaborative teaching, research and service. The Department of Biostatistics is one of the largest, most complex departments at UNC, receiving over $35 million in research funding in 2022. Currently BIOS includes approximately 290 students (90 undergraduate, 200 graduate), 100 permanent staff members, and 40 faculty members (30 with primary appointments in BIOS), as well as an additional 20 adjunct faculty members. The Department of Biostatistics is housed in three different locations: administrative and faculty offices, including a suite of offices for graduate students, in McGavran-Greenberg Hall; the Collaborative Studies Coordinating Center at Carolina Square; and the Carolina Survey Research Laboratory at Bolin Creek Center.
Position Summary:
The University of North Carolina at Chapel Hill (UNC) Department of Biostatistics and the Laboratory for Innovative Clinical Trials (LICT) are seeking applications for a tenure-track faculty position beginning in Spring 2025. This 12-month full-time position will be at the rank of Assistant Professor. The department seeks exceptional candidates who can contribute to the academic and research enterprise of the department. The successful applicants will be expected to develop and maintain research programs supported by external funding and to be engaged in the teaching, mentoring, and service activities of the department. The focus of the search is on areas of biostatistics related to Bayesian methods for complex innovative clinical trial design, adaptive designs, pragmatic trial design, Bayesian computation, prior elicitation, and Bayesian regression modeling with survival, longitudinal, and discrete data.
Minimum Education and Experience Requirements:
A doctoral degree in biostatistics, statistics, mathematics, computer science or a related discipline.
Preferred Qualifications, Competencies, and Experience:
Applicants should have broad research and possible teaching interests, the potential to direct PhD-level research, and the ability to engage in collaborative research with other faculty members at the University, the LICT, and industry. Strong preference will be given to candidates with expertise in Bayesian methods for complex trial design and analysis. Candidates must have expertise in the R programming language and at least one Bayesian statistical package (e.g., Stan, JAGS, and/or nimble). Experience developing R packages that interface with Rcpp would be a plus but is not required. The applicant should have excellent communication skills.
Campus Security Authority Responsibilities:
Not Applicable.
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