GDIT is seeking a Biostatistician to join our team supporting a large Health Research client in Rockville, MD. The GDIT Team will provide integrated comprehensive, responsive, efficient, and analytical support services.
JOB RESPONSIBILITIES AND DUTIES:
The Biostatistician shall provide programming and information technology support, including but not limited to:
Provide statistical support to the NIH/National Cancer Institute and collaborators. This support shall include overseeing data cleaning and quality, the creation of datasets, working with scientists to select analytic approaches appropriate to the objectives of the study, and conducting analyses using a variety of statistical techniques and software
Provide statistical support in the design and analysis of surveys, randomized controlled trials, and risk factor assessments including modeling of data
Develop statistical and mathematical models to describe findings and describe current trends and changes in trends
Provide statistical input in the study design phase and analysis phase, as well as in careful review of the end product, focusing on appropriateness of statistical methods and validity of conclusions
Establish and track time schedules for completing various phases of analytical work and development
Design and conduct methodologically sound research and evaluation studies using univariate, bivariate, multivariate and other statistical testing approaches as appropriate
Participate in the interpretation of study results and manuscript preparation
May also provide programming support, which shall include designing and maintaining customized databases for data entry and tracking, querying custom datasets for analysis, supporting and troubleshooting users, developing new functionality as indicated, developing a detailed understanding of existing databases including but not limited to Project, and running descriptive statistics and other computations as requested
Track, monitor, analyze, and report data from surveillance studies
Merge, integrate and pool data across different sources
Perform data management and analysis
Compile and organize data and assure accuracy
Contribute to the writing and editing of reports, manuscripts and other documents
REQUIRED:
BS or equivalent and five years experience or a MS and three years experience
Efficient use of statistical software, such as R scripting
Proficiency with Excel
DESIRED:
Degree in Statistics, Computer Science, Public Health
NIH or life science experience
Minimum of three years experience in data management and statistical analysis
Knowledge of study design and ability to identify and explore potential sources of bias and confounding and a thorough understanding of statistical methods including but not limited to GEE, linear and non-linear mixed effects models, ROC analysis, decision curve analysis, analysis of agreement, analysis of reproducibility and survival analysis. Bootstrap resampling procedures are often required to calculate standard errors and 95% confidence intervals.
Proficiency with packages such as SAS and Access
Knowledge and experience in assuring data quality and validation and possess capabilities in basic and complex data analysis
Ability to draft plans to resolve inaccuracies or other problematic situations
Ability to research, learn and provide innovative and original thinking with regards to study design and in the use of established and new statistical methods
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