Senior Biostatistician, School of Medicine - Pediatrics
Emory University
- Atlanta, GA
- Permanent
- Full-time
- 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.
- 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.
- We are seeking an experienced candidate (minimum of 3 years of experience OR an equivalent combination of education, training, and/or experience) with a background in statistics, biostatistics, epidemiology, and/or other related quantitative field, to join our group of clinical biostatisticians in the Emory School of Medicine.
- The selected candidate will work on research projects related to clinical and translational outcomes in pediatrics, employing both observational (e.g., case-control, cohort study) and experimental/randomized study designs.
- At a minimum, the selected candidate will have expertise in statistical methods related to hypothesis testing, generalized linear modeling (both cross-sectional and longitudinal/mixed effects), and time-to-event analysis.
- Moreover, the selected candidate will have a strong working knowledge regarding study design and experience with grant preparation activities, including SAP and power analyses.
- For internally and externally funded projects, the selected candidate will be expected to work with database managers to assist in the design of and data quality reporting for clinical databases, to be reviewed by primary investigators and oversight committees, such as DMCs.
- In addition to managing their own portfolio of projects, the selected candidate will be expected to mentor and oversee the technical and written work from junior biostatisticians and graduate students.
- Finally, the selected candidate will be expected to have excellent communication and problem-solving skills (both written and oral), an ability to quickly learn new terminology and statistical methods and meet deadlines, and expert knowledge of a statistical programming language such as SAS, R, or STATA.