DescriptionThe School of Nursing is seeking a skilled and collaborative biostatistician to consult and collaborate with students, faculty, and staff on research studies and support the educational mission of the School of Nursing. This role sits at the intersection of data management, analytics, and research operations, ensuring high-quality statistical analysis and reporting across the full research lifecycle.
The ideal candidate will have strong experience with research data systems (e.g., REDCap or similar electronic data capture (EDC) platforms), healthcare databases, a solid foundation in data analytics and programming, multiple statistical software packages, and the ability to develop appropriate statistical analysis approaches for study research aims and goals.
KEY RESPONSIBILITIES:
- Develops and analyzes a variety of research data using statistical methods.
- Assists researchers in developing appropriate study protocols and computer analyses.
- Manages computer systems, writes programs, and trains others in the use of systems.
- Keeps abreast of the latest statistical modeling and computing tools.
- Participates in the development and selection of appropriate statistical methods and tests, sample size calculations and creation of randomization schedules.
- Prepares statistical method sections for inclusion in study protocols.
- Reviews the design and content of database designs and data edit checks.
- Develops and validates SAS programs to support statistical analyses.
- Provides interpretations of statistical results, and prepares the relevant statistical sections for study reports.
- Creates and maintains biostatistical documentation, including descriptions of methods, SAS programs and results.
- Prepares electronic files using appropriate formats for submission to regulatory agencies.
- Participates in the development of standardization procedures for statistical functions.
- Reviews and audits statistical analysis plans, SAS programs, and statistical reports including tables, listings, and figures.
- Provides guidance to more junior biostatisticians.
- Evaluates and proposes new statistical methods for data analysis.
- Assigns and monitors activities of other project personnel.
- Assist in setting priorities of work to be done.
- Provides support and serves as a resource to biostatisticians, programmers, and data analysts.
- Participates in training of less senior biostatisticians and other team members.
- Provides input into the evaluation of their team members.
- Reviews and helps prepare statistical and database management sections of NIH grant applications and other externally supported proposals prior to submission.
- Writes statistical methods section of manuscripts for publication.
- Writes and/or revises quantitative, epidemiologic, and medical sections of manuscripts.
- Helps estimate budgets for biostatistical support for larger, more involved clinical studies (NIH program project grants, multicenter clinical trials etc).
- Monitors data collection, institutes procedures to assure data quality and guarantees study protocols are followed appropriately.
- Performs related responsibilities as assigned.
MINIMUM QUALIFICATIONS:
- A master's degree in statistics, biostatistics, computer science, or a related field and three years of experience as a biostatistician, preferably in an academic setting, OR an equivalent combination of education, training, and/or experience.
- Proficiency in modern high level statistical languages such as S-PLUS or SAS and in database management.
PREFERRED COMPETENCIES:
- Experience in statistical consulting (preference for in an academic setting)
- Proficiency in R and SPSS, with some experience in STATA and SAS if possible
- Experience in developing statistical analysis plans and sample size calculations
- Experience in regression, clustered, and longitudinal data analysis.
- Experience in analysis of data generated by validated instruments or complex survey sampling.
- Experience writing the methods and results sections of manuscripts
- Experience preparing tables, figures and associated graphics for manuscripts, abstracts and posters
- Experience with cluster computing a plus.
NOTE: Position tasks are generally required to be performed in-person at an Emory University location. Remote work from home day options may be granted at department discretion. Emory reserves the right to change remote work status with notice to employee.
