Durham, North Carolina

This Position is Partially Grant Funded

School of Medicine:


Established in 1930, Duke University School of Medicine is the youngest of the nation’s top medical schools. Ranked tenth among its peers, the School takes pride in being an inclusive community of outstanding learners, investigators, clinicians, and staff where traditional barriers are low, interdisciplinary collaboration is embraced, and great ideas accelerate translation of fundamental scientific discoveries to improve humanhealth locally and around the globe.


Comprised of 2,400 faculty physicians and researchers, the Duke University School of Medicine along with the Duke University School of Nursing and Duke University Health System create Duke Health. Duke Health is a world-class health care network. Founded in 1998 to provide efficient, responsive care, the health system offers a full network of health services and encompasses Duke University Hospital, Duke Regional Hospital, Duke Raleigh Hospital, Duke Primary Care, Private Diagnostic Clinic, Duke Home and Hospice, Duke Health and Wellness, and multiple affiliations.





Job Code: 2681 - level 80/12


Occupational Summary

Under the guidance of the CTSI Biostatistics, Epidemiology, and Research Design (BERD) Core management team in the Department of Biostatistics and Bioinformatics, perform intermediate-level statistical analysis and programming for a broad range of medical research projects. Collaborate closely with a cross-functional project team, physicians, lab scientists, and graduate students with regard to statistical aspects of each project.


Work primarily with collaborators in the School of Medicine to support an interdisciplinary network of clinical and translational investigators conducting research at Duke by providing expertise in study design, implementation of statistical methodology, and interpretation of results.




Collaboration, communication, leadership, and project management – 30%

  • Collaborate effectively with programmers, statisticians (both junior and senior), medical personnel, methodologists, and representatives within Duke and the broader research community under the guidance of a supervising biostatistician/methodologist.
  • Contribute constructively to project discussions in team meetings.
  • Demonstrate excellent written and oral proficiency in the English language.
  • Develop leadership and communication skills and share them with others.
  • Serve as a resource for other statisticians.
  • Describe statistical methods and results to fellow biostatisticians/methodologists as well as to broader audiences with less statistical expertise such as research faculty and staff.
  • Adhere to the standard operating procedures (SOPs) of the functional department as they apply to documentation and validation of research methodology.
  • Manage project responsibilities with decreasing levels of supervision or regular support.
  • Take initiative to complete project-specific responsibilities with minimal supervision.
  • Demonstrate ability to multi-task and meet deadlines.
  • Build documentation and organizational skills to effectively return to a project or manuscript after long intervals and in such a way that facilitates an easy transition when another methodologist joins the project.


Statistical analysis planning, generation, and interpretation – 30%

  • Perform  intermediate-level statistical analysis at all phases of a research project, from protocol development and study design through final analysis and reporting of results, with guidance from a faculty or supervising biostatistician/methodologist.
  • Evaluate research studies and recommend statistical procedures, including, but not limited to, hypothesis tests, regression models and multivariate analysis to analyze the data.
  • Contribute meaningfully to discussions of analyses and identify next steps for analyses.
  • Prepare statistical analysis plans under the guidance of faculty or supervising biostatistician.
  • Prepare comprehensive statistical reports to communicate findings with investigators
  • Prepare statistical components of presentations, abstracts, study protocols, and manuscripts.
  • Learn new statistical methods as needed, and apply new skills to future projects.
  • Perform intermediate and advanced statistical analyses, including but not limited to generating descriptive and test statistics, and performing high-level statistical modelling.
  • Check results for accuracy and consistency.


Programming and data documentation – 40%

  • Program and develop analysis datasets using SAS or R; combine multiple disparate raw data sets, execute standard cleaning and quality control procedures, and derive analytic variables as required.
  • Demonstrate good programming practices through proper documentation, commenting, and readability.
  • Perform complex programming using advanced options in SAS procedures and macros, or R functions with increasing efficiency.
  • Participate actively in the statistical team responsible for designing and validating analysis data sets, programs, and statistical output products (tables, listings, figures).
  • Perform appropriate and adequate code checks to ensure accuracy of results.




Work requires a minimum of a Master's degree in (bio) statistics or related field and no relevant experience, or a bachelor’s degree in (bio) statistics or related field and 2 years relevant experience, or an equivalent combination or relevant education and/or work experience.  Master’s degree preferred. Training in research methods that are complementary to biostatistics (e.g., epidemiology, health services, economics, psychology, etc.) preferred.




Required experience includes prior contribution to analysis of research projects, thorough experience with SAS or R and demonstrated excellence in both written and oral communication.


Desirable experience includes experience in global health or related fields of research, with research methods that are complementary to biostatistics, and with primary data collection.  In addition, experience with the Stata programming language, with survival, longitudinal, categorical, and observational data analysis, and generalized linear models is desired.




Duke is an Affirmative Action/Equal Opportunity Employer committed to providing employment opportunity without regard to an individual's age, color, disability, gender, gender expression, gender identity, genetic information, national origin, race, religion, sex, sexual orientation, or veteran status.


Duke aspires to create a community built on collaboration, innovation, creativity, and belonging. Our collective success depends on the robust exchange of ideas—an exchange that is best when the rich diversity of our perspectives, backgrounds, and experiences flourishes. To achieve this exchange, it is essential that all members of the community feel secure and welcome, that the contributions of all individuals are respected, and that all voices are heard. All members of our community have a responsibility to uphold these values.


Essential Physical Job Functions: Certain jobs at Duke University and Duke University Health System may include essentialjob functions that require specific physical and/or mental abilities. Additional information and provision for requests for reasonable accommodation will be provided by each hiring department.


Durham, North Carolina

As a world-class academic and health care system, Duke Health strives to transform medicine and health locally and globally through innovative scientific research, rapid translation of breakthrough discoveries, educating future clinical and scientific leaders, advocating and practicing evidence-based medicine to improve community health, and leading efforts to eliminate health inequalities.

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