Epidemiologist (CDC COVID-19 Response Support)

Clearance Level
None
Category
Epidemiology
Location
Atlanta, Georgia

REQ#: RQ67537

Travel Required: None
Requisition Type: Regular

GDIT is hiring Epidemiologists 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.

Epidemiology support is needed as COVID-19 surveillance and research efforts expand. Support is required in emergency response areas of epidemiology, communication, and field support. An Epidemiologist has the necessary education and work experiences to provide support to the task force on emergency response areas of epidemiology, communication, and field support. A successful candidate has experience performing data analyses (R or SAS), performing literature reviews for publications, manuscript writing/drafting experience, and has previous experience working on epidemiologic studies.

RESPONSIBILITIES (vary with years of relevant experience and education):

  • Provide technical oversight and coordinate collection, management, and analysis of data from COVID-19 surveillance systems
  • Develop, revise, and review study protocols, questionnaires, and other data collection forms
  • Provide quality assurance guidance to technical and program staff to ensure data integrity including preparing program guidelines to increase consistency, performing necessary data checks and managing datasets and data documentation
  • Maintain relevant IRB approvals for research with human subjects at CDC and provide technical support for approvals at collaborating institutions
  • Liaise with principal investigators, site coordinators, study enrollers, and laboratory personnel; or jurisdictional principal investigators, coordinators and data managers
  • Clean data and develop reports in DCIPHER
  • Write and troubleshoot SAS programs, organize, test, and streamline the surveillance system data components, and create SAS datasets for analyses.
  • Perform descriptive analyses of data for epidemiological studies using SAS or an equivalent package (e.g. R).
  • Collect data from sites using Excel to maintain data dashboards in Power BI
  • Assist with preparation of scientific manuscripts for peer-reviewed publication, develop data reports, write programs, and analyze data as needed for reports, abstracts, presentations, and papers.
     

QUALIFICATIONS:

Required Skills and Experience

  • MPH with a concentration in Epidemiology (or related field) and 3+ years of work experience or equivalent combination of education, skills, and experience
  • Capable of programming in SAS or R software for data analysis, survey data analysis, and data management at an intermediate level (at minimum)

Desired Skills and Experience:

  • Experience using PowerBI to maintain data dashboards
  • Recent CDC experience
  • Experience on an outbreak response in any capacity

#GDITpriority

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.