Epidemiologist

Req ID: RQ156100Type of Requisition: RegularClearance Level Must Be Able to Obtain: NoneJob Family: Data AnalysisSkills:Analytical Thinking,Data Management,Statistical Analysis,StatisticsExperience:4 + years of related experienceJob Description:GDIT is hiring Epidemiologists to provide support to the Epidemiology Task Force: Ongoing COVID-19 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 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.An Epidemiologist has the necessary education and work experiences to effectively provide data analysis, data management, and data visualization provide additional support to the task force.RESPONSIBILITIES (vary with years of relevant experience and education):Support study planning, protocol development, and study logistics, possibly including developing and keeping task trackers, protocol organization, organization of study documents (e.g. SOPs, forms, reports, etc.), and preparing study-related materials and overviewsMonitor data submissions from research study partnersProvide data cleaning and management support for research studies and surveillance platformsContribute 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.Coordinating or participating in routine study or surveillance meetings, possibly including taking study minutes and preparing materials on study progress.Manage epidemiological and laboratory data by using SAS or equivalent statistical package (e.g. R)Familiarity with data management software packages (e.g. R, REDCap, Microsoft Access, Excel, EpiInfo, STATA, etc.)Conduct analyses including frequencies, longitudinal data analysis, and univariate and multivariate modeling techniques (linear regression, logistic regression, generalized linear models, and survival analysis)Perform data quality assurance activities, including identifying and resolving any inconsistencies in data flow, data outside legitimate ranges, and illogical data responses by developing data quality reports and investigation and resolution of data anomalies or errors by using a combination of software packages including SAS or R, MS Access and Excel, and other software (e.g. REDCap)Convert datasets from multiple different sources into SAS datasetsManage data stored in a variety of file formats such as SAS datasets, Microsoft Access, Microsoft Excel, SQL, and ASCII filesManipulate and transform data that are stored in a variety of file formatsExplore the use of data visualization platforms (e.g. R, Power BI, mapping software) to quickly summarize study findingsSupport data visualization activities (both for hypothesis generation and to share data with the response) in order to develop communication materials such as data sets, slide sets and summary reportsPerform daily/weekly data runs and create daily/weekly reportsTrouble shoot issues with daily/weekly data runsWork on ongoing basis to improve and automate codeConducts weekly data cleaning and generate weekly error reportsDatabase management and upkeep as well as complete ad hoc data requestsDetermine sampling methodologies to implement if case counts exceed certain thresholds, characterize surveillance back-fill to help with real-time interpretation of dataDetermine 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/ethnicityWork with internal CDC staff/programs to push data to interactive public-facing website on weekly basis.Compile individual-level data submitted from multiple external partners in diverse data formats and merge with laboratory testing results from CDC or contract laboratoriesTrack completeness and quality of data over timePrepare summary tables and descriptive analyses of results on a regular basisHave the necessary resources, skills, and materials to support the following data management lifecycle activities: execute the coordination of data entry processes, create data entry forms in software packages such as Microsoft Access and REDCap and perform data entry as requiredResponsible for tracking of problem resolution related to data quality assurance activities by maintaining data-correction logbooks and/or files in order to improve the quality of the data collection/acquisition processCreate and modify SAS (or other) programs used for data management and create documentation for programs describing their functions and associated processes and outputSupport the design, development, and implementation of surveillance tools to collect epidemiologic dataCommunicate analytic results to internal CDC staff and external partners in a clear, concise and timely mannerAssist researchers in developing analytical programs in SAS or R and assist researchers in determining the appropriate statistical techniques to apply to their analysesQUALIFICATIONS:Required Skills and ExperienceM.S. in statistics or mathematics with 4+ years of work experience ORMPH with a concentration in Epidemiology or Biostatistics with 4+ years of work experienceCapable of fundamental programming SAS, R, or other statistical software for data analysis, survey data analysis, and data managementDesired Skills and Experience:CDC experienceExperience on an outbreak response in any capacity#GDITHealthWe are GDIT. A global technology and professional services company that delivers consulting, technology and mission services to every major agency across the U.S. government, defense and intelligence community. Our 30,000 experts extract the power of technology to create immediate value and deliver solutions at the edge of innovation. We operate across 30 countries worldwide, offering leading capabilities in digital modernization, AI/ML, Cloud, Cyber and application development. Together with our clients, we strive to create a safer, smarter world by harnessing the power of deep expertise and advanced technology.We connect people with the most impactful client missions, creating an unparalleled work experience that allows them to see their impact every day. We create opportunities for our people to lead and learn simultaneously. From securing our nation’s most sensitive systems, to enabling digital transformation and cloud adoption, our people are the ones who make change real.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.