Methodist University Cape Fear Valley Health School of Medicine, located in the vibrant and diverse community of Fayetteville, NC, is poised for growth and innovation as a candidate school with the LCME, with an anticipated start date of summer 2026 for its charter class. Our mission is bold yet vital: to prepare the next generation of socially accountable, equity-focused, community-engaged physician leaders committed to reducing health disparities and improving outcomes in southeastern North Carolina and beyond. We are looking for a proactive, resourceful, self-directed, and highly organized biostatistician with experience in data science and/or epidemiological methods. The statistician will report to the Associate Dean of Research and is expected to work with both faculty and students on the design, analysis, and dissemination of research projects. In addition, the statistician will contribute to teaching as well as supporting our office of student assessment.
Qualified candidates are invited to submit:
• A letter of application;
• Curriculum vitae;
• A concise equity and diversity statement about research, teaching, or other experiences, successes, and challenges in working with diverse investigators and student; and
• Contact information for three references.
General responsibilities:
As the biostatistician you will support biomedical research projects across the medical school and contribute to teaching. Your responsibilities include:
- Collaborating with faculty to design and conduct research projects.
- Mentoring students and provide technical guidance on study design, data analysis, and manuscript preparation.
- Contributing to dissemination of research findings including conference abstracts, presentations, and manuscripts for publication.
- Contributing to developing grant proposals.
- Teaching research and biostatistical concepts in the medical curriculum.
- Supporting the Office of Assessment in data analytics, visualization, and reporting related to student learning, curriculum evaluation, and institutional effectiveness.
- Other duties as assigned
You will be expected to work with large existing datasets such as Epic Cosmos, NHANES, and NIS, and be familiar with longitudinal data analyses as well as machine learning. With the focus of the school on improving health and health access to our community, you will be expected to work with community partners and contribute to epidemiological studies. May require attendance at meetings outside "regular duty hours"
