Type of Requisition:
Regular
Clearance Level Must Currently Possess:
None
Clearance Level Must Be Able to Obtain:
None
Public Trust/Other Required:
None
Job Family:
Data Analysis
Job Qualifications:
Skills:
Data Analytics, Data Management, Statistical Analysis, Structured Query Language (SQL)
Certifications:
None
Experience:
4 + years of related experience
US Citizenship Required:
No
Job Description:
GDIT is looking for a data manager with deep data analytics skills. In this role you will provide data management support to the CDC Office of Public Health Data, Surveillance, and Technology’s Inform and Disseminate Division. In this role you will focus on management of big data sets of surveillance and purchased clinical data. Your role is as a data manager who works closely with your client to understand the needs of health scientists and ensure data is ready for analysis
Supporting CDC in a fast-paced environment that requires the ability to work with big data sets and turn complex analysis around in a few days. There may be opportunities to support MMWR and other publications.
- Manage the data lifecycle from collection to disposal, ensuring efficient storage, access, and use.
- Support contract and vendor communication, including scope review, specifications verification, discrepancy follow-up, and coordination with vendors.
- QA/QC data, focusing on creating methodologies, maintaining quality levels, automating checks, and coordinating User Acceptance Testing.
- Manage meta-data, which involves generating, coordinating, updating technical and business metadata across various assets.
- Handle schema deviations, maintain data dictionaries, and direct engineering efforts for database setup.
- Sign off on data releases and coordinate data flow across various systems, including EHR datasets.
- The candidate will provide high-level expertise to develop study questions and designs; conduct analyses; and interpret findings based on electronic case reporting data and pharmacy, hospital, and healthcare claims data.
- Maintain requisite knowledge for managing and analyzing large data sets using Python, SAS, SQL, or R.
- Trains/demonstrates new analytics tools and software languages for DHIS/PEB staff. Perform work for review in timely intervals as defined by Health Scientist Coordinator.
- Reviews deliverables to ensure time frames and quality standards are met, and then submits deliverables within established time frames.
- Develop and document Python, SAS, R, or SQL programs, views, and databases.
- Verify results and validate with other known information sources.
- Summarize and visualize results (for example, develop graphs for dashboards showing data metrics).
- Draft final reports, methodological white papers, or articles for publication.
- Track technical assistance being provided to ensure queries are answered promptly and consistently.
- Produce data extracts and cleaning scripts.
- Develop data management and analysis materials, including graphics to convey analyses.
- Publish analysis and QC scripts to central repository or shared space like GitHub for use by others within PEB and across the agency upon review and acceptance by CDC.
- Lead the analysis and writing for at least one peer review publication
- Co-author and write papers for publications in peer-review journals and reports; present papers/research/findings to the scientific community at professional meetings and conferences.
- Support CDC clearance process for scientific products, which includes reviewing materials produced by others
Technical Skills: Python, R, SAS, PySpark, Tableau Server, PostgreSQL, SQL, Django, ArcGIS,
Qualifications:
- Bachelor’s degree in Computer Science, Computer Engineering, Data Science or related discipline
- 3+ years supporting federal government in support roles required
- Experience developing in Python or SQL Experience creating data QA/QC scripts
- Experience with Microsoft Azure (preferred) or AWS Experience with Databricks
- Experience with Big Data analysis programming techniques and technologies in a public health environment
- Experience with data mining, statistical analysis, and data structures (preferred)
- Experience with Public Health data analysis preferred
- Experience with relational databases and data pipelines
- Possession of excellent analytical, data gathering, and problem-solving skills Experience supporting multiple concurrent, on-going activities
- Excellent communication and interpersonal skills
- Mid level understanding of data analysis including the use of SAS, R, SQL and Python for developing database views and programs
- Experience with large ‘big data’ datasets
- Self-sufficient (needs little supervision)
- Sound interpersonal communication, telephone, email and business etiquette
- Strong attention to detail and organizational skills
- Experience in facilitating quick turn-around for complex documents
- Experience in assisting in the preparation of documents for public audiences
- Experience in the use of MS Teams and Microsoft Office software (i.e., Word; Excel; PowerPoint; Outlook)
- Must have the ability to obtain a National Agency Check with Inquiries (NACI) clearance
- Other valuable experience: • 'BIG DATA'Data and Systems Analysis, Strong R and Python Experience, • Data ETL experience, Workflow/Process Redesign, Automating Data Pipelines, Mapping SQL Database Tables, Statistical/Predictive Modeling
Desired Skills and Experience:
- Previous CDC and or public health experience highly desirable
- Superior multi-tasking and organization skills. Must manage multiple simultaneous projects and prioritize assignments and tasks accordingly, remaining flexible to changing priorities and new initiatives.
Attributes for Success:
- Demonstrated proactive approaches to problem solving with strong decision-making capabilities
- Forward looking thinker, who actively seeks opportunities and proposes solutions
- Analyze organizational goals and objectives, operating environment and business processes to determine most efficient methods of accomplishing work
WHAT YOU’LL NEED:
- Bachelors Science in Computer Science or related field, or Masters Public Health
- 4 or more Years of relevant experience, with emphasis on Big data
- 3 Years of specific data analysis tools: Python, R, SAS, PySpark, Tableau Server, PostgreSQL, SQL, Django, ArcGIS,
- Public health and/or CDC experience required
- Basic Security Clearance
The likely salary range for this position is $63,750 - $86,250. 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.
