UNIV-Statistician/Biostatistician, College of Nursing

Medical University of South Carolina•Charleston, SC

1d•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). This role offers the 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 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 allows for the development of a broad research portfolio while building a distinctive area of expertise within MUSC. The ideal candidate will view biostatistics as a strategic partner in research, enjoying collaboration with investigators from multiple disciplines to shape research questions, develop rigorous study designs, secure funding, and translate complex data into 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

Experience in one or more of the following areas is particularly valuable: 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
Candidates with an established record of clinical trial design and analysis, multi-site research leadership, and federal research funding are especially encouraged to apply.

Responsibilities

Partner with nationally recognized investigators on high-impact, interdisciplinary research
Contribute to the development and analysis of randomized clinical trials, pragmatic and implementation trials, longitudinal studies, translational research, and large-scale surveys
Collaborate on research addressing the mental health and behavioral consequences of trauma and victimization
Support nursing research spanning clinical care, health systems, workforce, education, and population health
Participate in the development of federally funded research proposals and serve as a statistical co-investigator on funded studies
Mentor doctoral students, fellows, early-stage investigators, and emerging researchers
Teach statistics and research methods and contribute to graduate education
Participate in Data and Safety Monitoring Boards and other research leadership activities
Develop a research portfolio that reflects the candidate's own scholarly interests and expertise
Collaborate with investigators across MUSC, with opportunities for additional appointments in areas such as Public Health Sciences and Graduate Studies
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.