Senior Scientific Data Analyst

Type of Requisition:

Regular

Clearance Level Must Currently Possess:

None

Clearance Level Must Be Able to Obtain:

None

Suitability:

Public Trust/Other Required:

None

Job Family:

Data Analysis

Job Qualifications:

Skills:

Analytical Thinking, Data Analysis, Data Management, Public Health, Statistics

Certifications:

Experience:

4 + years of related experience

US Citizenship Required:

No

Job Description:

GDIT is hiring an Epidemiologist to provide support to the Epidemiology Task Force: 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 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.

An Epidemiologist has the necessary education and work experiences to effectively provide data analysis, data management, and data visualization support to the task force. These roles are supporting enhanced COVID-19 surveillance efforts and epidemiological studies. Successful candidates will be at an intermediate to advanced coding level in SAS or R (both is preferred).

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

• Support surveillance system planning, protocol development, and operational logistics, possibly including developing and keeping task trackers, system organization, organization of surveillance documentation (e.g. SOPs, forms, reports, etc.), and preparing related materials and overviews;

• Monitor data submissions from surveillance partners and displays diplomacy in communicating with our external partners;

• Liaison and build relationships with state public health partners and triage questions with leadership when necessary;

• Provide data cleaning and management support for surveillance platforms (Python, PowerBi);

• Contribute to production of 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 surveillance meetings, possibly including taking study minutes and preparing materials on study progress;

• Manage epidemiological and laboratory data by using SAS, R, or equivalent statistical package;

• Familiarity with data management software packages (e.g. SAS, R, REDCap, Microsoft Access, Excel, EpiInfo, STATA, SQL etc.);

• 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;

• Investigate and resolve 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, DCIPHER);

• 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;

• Support 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 reports;

• Work on ongoing basis to improve and automate code;

• Database management and upkeep as well as complete ad hoc data requests;

• Compile individual-level data submitted from multiple external partners in diverse data formats and merge with laboratory testing results from CDC or contract laboratories;

• Communicate analytic results to internal CDC staff and external partners in a clear, concise and timely manner; and

• Demonstrate the ability to handle multiple priorities in a fast-paced work environment.

QUALIFICATIONS:

Required Skills and Experience

• Bachelor’s degree of (mathematical or biolog