Scientific Data Analyst - CDC

Clearance Level
Data Analysis
Atlanta, Georgia

REQ#: RQ96878

Travel Required: None
Public Trust: None
Requisition Type: Regular

GDIT is hiring a mid-level Scientific Data Analyst to provide support to the CDCs 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 scientific data analyst has the necessary education and work experiences to effectively provide data analysis, data management, and data visualization provide additional support to the task force.

This role will be located at the CDCs location in Atlanta.


  • 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 overviews

  • Provide data cleaning and management support for research studies and surveillance platforms

  • 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.

  • 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 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

  • Perform daily/weekly data runs and create daily/weekly reports 

  • Work with internal CDC staff/programs to push data to interactive public-facing website on weekly basis.

  • Prepare summary tables and descriptive analyses of results on a regular basis

  • Have 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 required

  • Create and modify SAS (or other) programs used for data management and create documentation for programs describing their functions and associated processes and output

  • 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

  • Bachelors and 5+ years of relevant education and experience

  • Capable of fundamental programming SAS, R, SUDAAN, STATA or other statistical software for data analysis, survey data analysis, and data management

Desired Skills and Experience:

  • M.S. in statistics or mathematics with 3+ years of work experience or MPH with a concentration in Epidemiology or Biostatistics with 3+ years of work experience strongly preferred

  • CDC experience


We are GDIT. The people supporting some of the most complex government, defense, and intelligence projects across the country. We deliver. Bringing the expertise needed to understand and advance critical missions. We transform. Shifting the ways clients invest in, integrate, and innovate technology solutions. We ensure today is safe and tomorrow is smarter. We are there. On the ground, beside our clients, in the lab, and everywhere in between. Offering the technology transformations, strategy, and mission services needed to get the job done.

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.