UNIV-Statistician/Biostatistician, College of Nursing

Medical University of South Carolina•Charleston, SC
•Onsite

About The Position

The Medical University of South Carolina (MUSC) is seeking an exceptional Statistician/Biostatistician to join a collaborative, interdisciplinary research community spanning the MUSC College of Nursing and the National Crime Victims Research and Treatment Center (NCVRTC) within the Department of Psychiatry and Behavioral Sciences, College of Medicine. This is an opportunity to build a meaningful academic career at the intersection of biostatistics, clinical research, nursing, behavioral health, trauma research, and implementation science. The successful candidate will work directly with investigators across two highly collaborative research environments, contributing statistical expertise from the earliest stages of study design and grant development through analysis, publication, and dissemination. The position is housed in the College of Nursing and provides an equal 50/50 research and academic appointment between the College of Nursing and NCVRTC. This structure provides the opportunity to develop a broad portfolio of collaborative research while building a distinctive area of expertise within MUSC. We are particularly interested in a faculty member who sees biostatistics not simply as a technical function, but as a strategic partner in research. The ideal candidate will enjoy working alongside investigators from multiple disciplines, helping shape research questions, developing rigorous study designs, securing extramural funding, and translating complex data into meaningful scientific findings.

Requirements

  • A PhD in biostatistics, statistics, or a related field
  • A strong record of peer-reviewed scholarship and research productivity
  • Experience contributing to grant development and extramural research
  • Demonstrated experience securing or contributing to funded research
  • A strong record of interdisciplinary collaboration
  • Experience mentoring students, fellows, or early-stage investigators
  • Excellent written and oral communication skills
  • Programming experience in R, SAS, SPSS, or comparable statistical software
  • Ability to obtain and maintain a valid drivers license.
  • Computer literacy.
  • Ability to work rotating shifts as required.
  • Ability to work overtime as required.
  • Ability to learn and use new processes, tools and equipment as required.

Nice To Haves

  • Design and analysis of randomized clinical trials
  • Pragmatic, adaptive, or implementation trials
  • Longitudinal data analysis, including mixed models, trajectory analysis, and survival analysis
  • Latent variable modeling, including factor analysis, structural equation modeling, cluster analysis, and latent class/profile analysis
  • Causal inference
  • Multi-site clinical research
  • Data and Safety Monitoring Boards
  • An established record of clinical trial design and analysis, multi-site research leadership, and federal research funding

Responsibilities

  • Partnering with principal investigators in the development of competitive grant proposals
  • Serving as statistical co-investigator on funded and developing research projects
  • Providing advanced statistical consultation to faculty, fellows, and doctoral students
  • Contributing to study design, analytic strategy, data interpretation, and scientific dissemination
  • Teaching statistics and/or research methods
  • Serving on PhD dissertation committees
  • Mentoring students, fellows, and early-stage investigators
  • Helping strengthen statistical and methodological capacity across the College
  • Collaborate with NCVRTC investigators on study design, statistical analysis, and scientific publications
  • Contribute to the development of extramurally funded research proposals
  • Provide statistical consultation to faculty, postdoctoral fellows, and other trainees
  • Serve as a statistical mentor on career development and research training awards, including K awards and COBRE Research Project Leaders
  • Participate on Data and Safety Monitoring Boards for extramurally funded clinical trials, as appropriate
  • Contribute to the academic mission of the University through appropriate participation in committees, task forces, mentoring, education, and other service activities.

Benefits

  • A start-up package may be available and will be considered based on the candidate's experience, research program, and needs.

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What This Job Offers

Job Type

Full-time

Career Level

Entry Level

Education Level

Ph.D. or professional degree

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