GDIT is hiring a Biostatistician to provide support to the Epidemiology Task Force: Ongoing COVID-19 Response Support. Due to the recent events caused by the COVID-19 pandemic, the CDC Epidemiology Task Force is responsible for identifying and tracking COVID-19 cases, spread and containment. The COVID-19 Epidemiology Task Force Response is critical to accomplishing the CDC’s mission and goals during the COVID-19 pandemic. This position will give support across several teams within the task force.
A biostatistician has the necessary education and work experiences to effectively provide data analysis, c inferential statistical support, some data management, and some data visualization support to the task force. A successful candidate will be comfortable conducting epidemiologic modelling with little to no supervision.
RESPONSIBILITIES (vary with years of relevant experience and education):
Provide statistical consultations to members of the taskforce as needed
Contribute to production of study/surveillance summaries or manuscripts for publication.
Ensure the security and confidentiality of analytical data files and provide data file documentation describing the scientific data source.
Manage epidemiological and laboratory data by using SAS or equivalent statistical package (e.g. R)
Conduct analyses including frequencies, longitudinal data analysis, and univariate and multivariate modeling techniques (linear regression, logistic regression, generalized linear models, and survival analysis)
Convert datasets from multiple different sources into SAS datasets
Manage data stored in a variety of file formats such as SAS datasets, Microsoft Access, Microsoft Excel, SQL, and ASCII files
Manipulate and transform data that are stored in a variety of file formats
Explore the use of data visualization platforms (e.g. R, Power BI, mapping software) to quickly summarize study findings
Determine sampling methodologies to implement if case counts exceed certain thresholds, characterize surveillance back-fill to help with real-time interpretation of data
Determine how to best present age/sex/race adjusted estimates in daily/weekly reports, describe and work to minimize biases related to missingness of key variables such as race/ethnicity
Prepare summary tables and descriptive analyses of results on a regular basis
Support the design, development, and implementation of surveillance tools to collect epidemiologic data
Communicate analytic results to internal CDC staff and external partners in a clear, concise and timely manner
Assist researchers in developing analytical programs in SAS or R and assist researchers in determining the appropriate statistical techniques to apply to their analyses
Required Skills and Experience
A minimum of 3 years (post-graduate) working as a biostatistician
M.S. in statistics with 3+ years of analytic work experience with epidemiologic/public health or clinical studies or MPH with a concentration in Biostatistics with 3+ years of analytic work experience
Capable of advanced programming in SAS
Experience working with: cohort studies and longitudinal data
Experience conducting: Incidence rate calculations, survival analyses (examples: Cox regression models, frailty models), Poisson regression, multilevel/hierarchical models, multiple imputation of missing data, and analytic methods to address interval censoring
Desired Skills and Experience:
Previous CDC experience
Experience on an outbreak response in any capacity
Capable of fundamental programming in R
Experience working with clinical trials data
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GDIT is an Equal Opportunity/Affirmative Action employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or veteran status, or any other protected class.