Duke University was created in 1924 through an indenture of trust by James Buchanan Duke. Today, Duke is regarded as one of America’s leading research universities. Located in Durham, North Carolina, Duke is positioned in the heart of the Research Triangle, which is ranked annually as one of the best places in the country to work and live. Duke has more than 15,000 students who study and conduct research in its 10 undergraduate, graduate and professional schools. With about 40,000 employees, Duke is the third largest private employer in North Carolina, and it now has international programs in more than 150 countries.
The Statistician will play a leading role in quantitative research activities on the NIH grant, Implementation and Implications of Sickle Cell Trait Screening in the National Collegiate Athletic Association (NCAA). The goal of the grant is to identify and understand benefits, challenges, limitations, and risks of the NCAA sickle cell trait screening policy, and develop strategies to address areas of concern. The project includes a national survey and semi-structured interviews with staff and student-athletes at NCAA institutions across the U.S. about their perspectives and experiences regarding the NCAA sickle cell trait screening. The statistician will provide input in the design, execution and analysis of the research, working closely with investigators and staff at Duke and UNC-Chapel Hill in planning the sampling and weighting, executing pilot testing, performing formal analysis, presenting findings, and submitting publications related to the national survey.
Collaboration and project management - 40%
Collaborate effectively with programmers, statisticians (both junior and senior), and representatives within Duke and the broader research community under limited guidance.
Contribute constructively to project discussions in team meetings.
Demonstrate excellent written and oral proficiency in the English language.
Describe statistical methods and results to audience with less statistical expertise such as research faculty and staff.
Develop and adhere to the standard operating procedures (SOPs) of the research project and center as they apply to documentation and validation of research methodology.
Manage project responsibilities with limited levels of supervision or regular support.
Take initiative to complete project-specific responsibilities while demonstrating ability to multi-task and meet deadlines.
Build documentation and organizational skills 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.
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.
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 statistical expertise.
Participate in (eg. prepare statistical components for) other project related activities including presentations, abstracts, manuscripts, grant preparation and progress reports as key personnel.
Supervise and mentor less experienced colleagues, such as student research assistants.
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 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
Perform other related duties incidental to the work described herein.
Strong written and oral communication skills to include translating interdisciplinary work to various audiences
Careful attention to detail
Excellent time management and organizational skills
Flexibility and ability to work on multiple tasks simultaneously
Ability to work well both independently and as a member of collaborative diverse teams
Ability to provide guidance and direction to subordinates, including setting standards and monitoring performance
Computer proficiency required. Capable of working with email, databases, Word, Excel, PowerPoint, EndNote, Dropbox, Box, GoogleDocs, and other similar research tools
Strong methodological training and experience in quantitative and/or mixed method research, including instrument design and proficiency with software for data management and analysis (e.g. SPSS, STATA, R, SAS)
Experience with large-scale national surveys
Work requires a minimum of a Master's degree in statistics, (bio) statistics or related field and no relevant experience, or a Bachelors degree in statistics, (bio)statistics or related field and 2 years relevant experience, or an equivalent combination or relevant education and/or work experience.
OR AN EQUIVALENT COMBINATION OF RELEVANT EDUCATION AND/OR EXPERIENCE
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.
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