Biostat & Bioinformatics Chairs Office
Under the guidance of the CTSI Biostatistics 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 at the Duke Global Health Institute (DGHI), which has more than 80 faculty members from across the university and health system. DGHI's research mission is to reduce health disparities locally and globally with research areas including, but not limited to, malaria, maternal and child health, and global mental health. Potential collaborators, some of whom are based overseas, include epidemiologists, economists, psychologists, engineers, physicians, lab scientists, and graduate students. Research projects at DGHI include both observational and experimental studies, with the cluster randomized design the most commonly used experimental design. Most projects involve primary data collection and take place in a range of countries around the world. These projects, therefore, provide a unique opportunity to develop a diverse portfolio of skills and to gain expertise in numerous areas of research. As such, this position is ideal for a motivated and enthusiastic individual who is flexible and pragmatic in their approach to scientific research.
Collaboration, communication, leadership, and project management
- 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
- 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
- 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.
2681 BIOSTATISTICIAN II
Job Family Level
Full Time / Part Time
Regular / Temporary
Duke University is an Affirmative Action/Equal Opportunity Employercommitted to providing employment opportunity without regard to anindividual's age, color, disability, gender, gender expression, genderidentity, 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 robustexchange of ideas—an exchange that is best when the rich diversity ofour perspectives, backgrounds, and experiences flourishes. To achievethis exchange, it is essential that all members of the community feelsecure and welcome, that the contributions of all individuals arerespected, and that all voices are heard. All members of our communityhave a responsibility to uphold these values.
Essential Physical Job Functions:Certain jobs at Duke University and Duke University Health System mayinclude essential job functions that require specific physical and/ormental abilities. Additional information and provision for requests forreasonable accommodation will be provided by each hiring department.
Work requires a minimum of a Master's degree in (bio)statistics orrelated field and no relevant experience, or a bachelors degree in (bio)statistics or related field and 2 years relevant experience, or anequivalent combination or relevant education and/or work experience.
OR AN EQUIVALENT COMBINATION OF RELEVANT EDUCATION AND/OR EXPERIENCEPrior contribution to analysis of research projects, a working knowledgeof SAS, and solid command of the English language is required.
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Duke University is an Affirmative Action/Equal Opportunity Employer committed to providing employment opportunity without regard to an individual's age, color, disability, genetic information, gender, gender expression, gender identity, national origin, race, religion, sexual orientation, or veteran status.
Essential Physical Job Functions: Certain jobs at Duke University and Duke University Health System may include essential job 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.