Adjunct Assistant Professor
Full Time
Chapel Hill, NC 27599
Posted
Job description
Posting Information
Department
Biostatistics - 462001
Application Deadline
09/12/2022
Position Type
Visiting / Part-time Faculty
Working Title
Adjunct Assistant Professor
Appointment Type
Adjunct Faculty
Position Number
20048908
Vacancy ID
F002690
Full-time/Part-time
Full-Time Temporary
Hours per week
40
FTE
1
Position Location
North Carolina, US
Hiring Range
Proposed Start Date
12/30/2022
Estimated duration of appointment
1 year
Position Information
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 the health and wellbeing of the population. This mission is accomplished through the interaction of teaching, research and service. The department is one of the largest, most complex departments on campus. For FY19, Biostatistics, was 4th among all departments and centers across campus in research funding at UNC Chapel Hill and currently has almost 300 employees. The Department operates a $46 million sponsored research budget (FY19), a 1.7-million-dollar state budget, a 1.0-million-dollar F&A budget and spends roughly 3.0 million in trust funds annually. The Department has 55 EHRA and EHRA Non-Faculty members, 74 permanent staff members and 162 temporary employees. The Department has 235 students (184 graduate students and 51 undergraduate students). 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 (CSCC) at Carolina Square; and the Carolina Survey Research Laboratory (CSRL) at Bolin Creek Center.
Position Summary
She/he will work with Prof. Zhu at UNC-Chapel Hill on developing statistical methods for imaging analysis and imaging genetics. The goal of this joint project is to explore and develop enhanced statistical tools for identifying multiomics biomarkers by integrating multiple big datasets for the purpose of prediction on neuroimaging features. We anticipate identification of novel genes via which genetic profile influence neuroimaging features, which are potential endophenotypes of brain-related disorders, including schizophrenia, autism, and Alzheimer’s disease. She/he need to have a lot of experience in developing novel approaches to analyze large longitudinal imaging genetics datasets. And this work will be our collaborative efforts.
Minimum Education and Experience Requirements
Masters or Doctorate in Biostatistics or related field.
Preferred Qualifications, Competencies, and Experience
Experience developing statistical methods for imaging analysis and imaging genetics.
Special Physical/Mental Requirements
Campus Security Authority Responsibilities
Not Applicable.
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