Department Description The Collaborative Studies Coordinating Center (CSCC) is a division within the Department of Biostatistics of the School of Public Health at the University of North Carolina at Chapel Hill, NC (UNC). As the coordinating center for a number of multi-center clinical trials and epidemiology studies, the CSCC provides study design, data management, statistical analysis, quality assurance, and study management services to a broad array of projects funded primarily by the National Institutes of Health (NIH). The organization includes faculty from the departments of biostatistics, epidemiology, nutrition, and medicine and research staff with training and experience in biostatistics, epidemiology, computer science/data management, and project management.
Position Description Description/summary of the position Biostatisticians support data analysis, report production, planning, coordination, and conduct of multi-center research studies. This position will demonstrate expertise in communication and technical knowledge. The degree of specialized statistical knowledge, communication abilities, and the level of original thinking, input on direction and content of an analysis will be critical to the level of independence expected in working on manuscript collaboration and analyses. This position is being recruited for at the Advanced Competency Level under the Career Banding program.
Minimum Education and Experience Requirements Master's degree in a discipline related to the field assigned; or Bachelor's degree in a discipline related to the field assigned and two years of research/analysis, preferably with one year in a supervisory role; or equivalent combination of training and experience. All degrees must be received from appropriately accredited institutions.
Essential Skills, Knowledge and Abilities This position will support data analysis, writing of scientific manuscripts, planning, coordination and conduct of multi-center research studies in the Department of Biostatistics of the School of Public Health at UNC-Chapel Hill. A thorough knowledge of applied aspects of observational and clinical study design, data analysis, research data management and statistical programming is required through a combination of academic training and work experience. Demonstration of effective communication skills in the presentation of statistical results in both written and oral form is important. Work experience in applied data analysis using linear and generalize linear models, and survival analysis methodology is required. The demonstrated mastery of SAS program language and statistical procedure skills will be critical to successful performance in this position. Familiarity with the R programming language will also be essential. The employee will need to understand and protect confidentiality of study data to ensure the protection of human subjects involved in the research.
Preferred Qualifications Experience working on complex clinical research projects is highly desirable. Prior experience processing, integrating, and analyzing genetic, epigentic, and/or imaging data beyond graduate course work is desirable but not required. Experience using high-performance computing environments such as Google Platform Cloud? is desirable but not required. Experience in applied data analysis using machine learning methods is also desirable but not required.
Application Types Accepted Applications must be received in the Department of Human Resources by the closing date to be considered. Please submit an online application for position number 00061366 at http://unc.peopleadmin.com/postings/175995
The University of North Carolina at Chapel Hill is an equal opportunity and affirmative action employer. All qualified applicants will receive consideration for employment without regard to age, color, disability, gender, gender expression, gender identity, genetic information, national origin, race, religion, sex, sexual orientation, or status as a protected veteran.