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Biostatistician

Company Information

The Department of Biostatistics and Bioinformatics at the Rollins School of Public Health, Emory University invites applications for up to two Biostatistician positions. Successful candidates will contribute to health research projects that utilize data from large administrative databases, ongoing cohort studies, electronic health records, and infectious disease surveillance systems.

Duties and Responsibilities

Clean and compile, document, and maintain data repositories with data dictionaries and meta-data.

Support efforts to ensure that data standards are developed, and perform data harmonization tasks. Ensure that uses of data through reports and queries are accurate.

Work with onsite or field-based counterparts to coordinate consistent implementation of data quality control measures, provision of access to the central data repositories, and creation of custom analytic datasets

Support submissions of data use agreements to research partners and protocols to Institutional Review Boards.

Plan, coordinate, and carry out statistical analyses of research projects.

Provide explanations of analysis methods, assumptions made, and assists in interpretation of results and implications therein.

Co-author research papers and manuscripts for publication and collaborate in the development of posters and data presentations at conferences and workshops.

Position Qualifications

Excellent working knowledge of SAS or R.

Familiarity with high performance computing environments.

Demonstrated ability in organization, documentation, and maintenance of large research project datasets.

Familiarity with epidemiology and biostatistics methods, especially experience with regression techniques for survival, longitudinal and count outcomes.

Familiarity with predictive modeling techniques, including machine learning and clustering algorithms.

Experience contributing data analysis to manuscripts and reports to funding agencies.

Excellent written and verbal communication skills, particularly in an interdisciplinary setting.