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Title:Biostatistician
Salary:Open
Experience:3+
Location:MD - Gaithersburg

Description:
The Biostatistician position is a first level scientist who works in Biometrics with particular skills in the statistical sciences. This position provides first level design and analysis support for clinical trials. Biostatisticians will work with clinical research staff to determine appropriate study designs, sample size estimates, and write appropriate sections of study protocols. Biostatisticians will also write statistical analysis plans, analyze data, and write sections of clinical study reports as assigned. Additional work in the statistical sciences may be completed with non-clinical work.

Responsibilities:
  • Provides input into the preparation of sample sizes estimates, clinical endpoint assessments and planned analyses described in clinical protocols
  • Works with Data Management and clinical personnel to provide statistical input for the design of Case Record Forms (CRF)
  • Provides analysis and reporting support for clinical trials conducted by Clinical Research, Inc. and Affiliates.
  • Prepares statistical analysis plans and report specifications
  • Performs statistical analysis and interprets results
  • Provides review of results received from Contract Research Organizations (CRO) Tables, Listings and Graphs (as requested) for on-going projects
  • Provides input into the preparation and review of integrated clinical and statistical study reports
  • Consults with other statisticians and content experts on the statistical methodology, study design, and data analysis strategies to be applied to a research problem
  • Builds and maintains strategic relationships with clinical research colleagues within the biometrics and clinical research functional areas

Requirements:
  • Post-bachelor s degree in Biostatistics, Statistics, or related discipline with some exposure in the health sciences
  • 3 years biostatistics experience in a contract research organization or pharmaceutical company including SAS software programming experience
  • Prefer coursework or experience in categorical data analysis, regression, analysis of variance, analysis of covariance, survival analysis and the analysis of missing data.

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