UNIV - Research Instructor of Biostatistics - Department of PHS
Quick Summary
The Hollings Cancer Center and the Department of Public Health Sciences at the Medical University of South Carolina (MUSC) invite applications for Research Instructor of Biostatistics. This posting is for a faculty biostatistician affiliated with the Data Science Shared Resource within the Hollings Cancer Center, South Carolina’s only National Cancer Institute (NCI)-designated cancer center. An MS or MPH in statistics, biostatistics, or related field with at least two years relevant experience at the time of appointment is required.
This position will involve significant collaborative interactions with Hollings Cancer Center clinical researchers with a major emphasis on the design and conduct of early phase oncology therapeutic trials and non-therapeutic behavioral or hybrid efficacy-implementation trials. Additional responsibilities will include joint grant proposals with cancer center members, development of statistical methodology to advance cancer research, and the design of pre-clinical, translational and epidemiological studies. Excellent data analysis skills are required. Applicants with prior experience working in an NCI-designated cancer center are encouraged to apply. Successful applicants will have expertise in protocol development, proficiency in clinical trial electronic database development using REDCap and fluency with NIH Common Data Elements, experience with trial conduct including risk-based monitoring and reporting, and familiarity with ICH Efficacy Guidelines for Good Clinical Practice (ICH E6) and Statistical Principles for Clinical Trials (ICH E9).
MUSC is located in Charleston, SC, a vibrant and diverse community renowned for its music, arts and culinary scene, with ample opportunities for coastal outdoor activities. Founded in 1824, MUSC is the state’s largest medical complex, has the state’s only National Cancer Institute-designated cancer center, and is the largest employer in the metropolitan Charleston area. MUSC ranks in the top quartile of domestic educational institutions in research funding and is home to a Clinical and Translational Science Award.
Interested applicants should send a cover letter describing qualifications – especially current and past collaborative experiences – and curriculum vitae to HCC DSSR Search Committee c/o Elizabeth Hill (hille@musc.edu). Applicants must also apply on the MUSC Job Site.
MUSC is committed to increasing the diversity of its faculty and encourages applications from individuals in groups that are underrepresented in the biomedical sciences. The posting will remain open until filled.
The Medical University of South Carolina is an Affirmative Action and Equal Opportunity Employer.
For additional information or questions, please contact
Dr. Elizabeth Hill
Biostatistics Director, Data Science Shared Resource
Biostatistics Program Director, Hollings Advisory for Rapid Translation
Professor of Biostatistics
Hollings Cancer Center
Medical University of South Carolina
86 Jonathan Lucas St., MSC 955
Charleston, SC 29425
hille@musc.edu
If you like working with energetic enthusiastic individuals, you will enjoy your career with us!
The Medical University of South Carolina is an Equal Opportunity Employer. MUSC does not discriminate on the basis of race, color, religion or belief, age, sex, national origin, gender identity, sexual orientation, disability, protected veteran status, family or parental status, or any other status protected by state laws and/or federal regulations. All qualified applicants are encouraged to apply and will receive consideration for employment based upon applicable qualifications, merit and business need.
Medical University of South Carolina participates in the federal E-Verify program to confirm the identity and employment authorization of all newly hired employees. For further information about the E-Verify program, please click here: http://www.uscis.gov/e-verify/employees
Location & Eligibility
About this job
- Who can apply
- United States
- Posted
- Today
Listing Details
- First seen
- October 27, 2026
- Last seen
- October 27, 2026
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- Trust Level
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- October 27, 2026
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