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:

Epidemiology, Public Health, Surveillance

Certifications:

Experience:

4 + years of related experience

US Citizenship Required:

No

Job Description:

GDIT is hiring Senior Epidemiologist 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 Senior 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 overviews
• Monitor data submissions from research study partners
• 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.
• 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 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
• 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
• Perform daily/weekly data runs and create daily/weekly reports
• Trouble shoot issues with daily/weekly data runs
• Work on ongoing basis to improve and automate code
• Conducts weekly data cleaning and generate weekly error reports
• Database management and upkeep as well as complete ad hoc data requests
• 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
• Work 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 laboratories
• Track completeness and quality of data over time
• 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
• Responsible 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 process
• 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

QUALIFICATIONS:

Required Skills and Experience

• M.S. in pubic health, epidemiology or statistics with 2+ years of work experience
• MPH with a concentration in Epidemiology or Biostatistics with 2+ years of work experience
• Capable of fundamental programming SAS, R, SUDAAN, STATA or other statistical software for data analysis, survey data analysis, and data management
• CDC experience

Desired Skills and Experience:

• Experience on an outbreak response in any capacity
• PhD in public health or epidemiology

The likely salary range for this position is $105,600 - $158,400. This is not, however, a guarantee of compensation or salary. Rather, salary will be set based on experience, geographic location and possibly contractual requirements and could fall outside of this range.

Scheduled Weekly Hours:

40

Travel Required:

None

Telecommuting Options:

Remote

Work Location:

Any Location / Remote

Additional Work Locations:

Total Rewards at GDIT:

Our benefits package for all US-based employees includes a variety of medical plan options, some with Health Savings Accounts, dental plan options, a vision plan, and a 401(k) plan offering the ability to contribute both pre and post-tax dollars up to the IRS annual limits and receive a company match. To encourage work/life balance, GDIT offers employees full flex work weeks where possible and a variety of paid time off plans, including vacation, sick and personal time, holidays, paid parental, military, bereavement and jury duty leave. GDIT typically provides new employees with 15 days of paid leave per calendar year to be used for vacations, personal business, and illness and an additional 10 paid holidays per year. Paid leave and paid holidays are prorated based on the employee’s date of hire. The GDIT Paid Family Leave program provides a total of up to 160 hours of paid leave in a rolling 12 month period for eligible employees. To ensure our employees are able to protect their income, other offerings such as short and long-term disability benefits, life, accidental death and dismemberment, personal accident, critical illness and business travel and accident insurance are provided or available. We regularly review our Total Rewards package to ensure our offerings are competitive and reflect what our employees have told us they value most.

We 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.