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 biological science) and M.S. in statistics or mathematics or M.P.H. with 4+ years of relevant experience

• Experience with advanced programming SAS or R for data management

• Experience with programming in Python, SQL, and PowerBi

• CDC experience

• Experience with statistical analyses in infectious disease modeling: regressions, ANOVA, t/f/chi-square test

Desired Skills and Experience:

• Experience with outbreak/emergency response at local, state, or federal level

• Experience or understanding of larger surveillance systems used by state public health departments

• Attention to detail

WHAT GDIT CAN OFFER YOU: 

• Challenging work that makes a real impact on the world around you  

• Internal mobility team dedicated to helping you own your career 

• 401K with company match 

• Diverse, highly collaborative teams

• Professional development, education assistance, certification and training opportunities

#GDITFedHealthJobs 

#GDITHealth

The likely salary range for this position is $80,226 - $80,500. 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:

Less than 10%

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.