Under the guidance of the CTSI Biostatistics Core management team in the Department of Biostatistics and Bioinformatics, perform intermediate and advanced 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. Demonstrate expertise in statistical and clinical areas in order to serve as a resource for other Biostatisticians in the Core. 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 - 40%
- Collaborate effectively with programmers, statisticians (both junior and senior), medical personnel, methodologists, and representatives within Duke and the broader research community under limiting 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.
Supervise junior statistician on collaborative projects. 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 independently.
- 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. -Demonstrate clinical/statistical area of expertise and serve as resource in thisarea for junior statisticians in the Core.
- Participate in grant preparation as key personnel on a variety of medical studies under direct guidance of faculty Biostatistician.
Programming and data documentation – 30%
- 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, and/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
Position requires a minimum of a Doctoral degree in (bio) statistics or related field and no relevant experience, or a Master's degree in (bio)statistics or related field and 2 years relevant experience, or a Bachelor's degree in (bio) statistics or related field and 4 years relevant experience.
OR AN EQUIVALENT COMBINATION OF RELEVANT EDUCATION AND/OR EXPERIENCE Contribution to analysis of clinical trials and/or clinical research projects, and/or participation in preparation of academic manuscripts or other written summaries of analysis results, thorough experience with SAS, and solid command of the English language is required. Desirable experience includes prior role as a lead statistician on clinical trials and/or clinical research projects that have delivered the agreed-upon end products on time, and prior guidance of lower level or less experienced staff.
Duke University 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.