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Position Highlights:
Salary Range: $85,000-$106,000, plus benefits
Position Type: Grant funded, limited-term opportunity contingent on funding
Position End Date: December 31, 2026
Location: This position will work a hybrid schedule based in Atlanta, GA. Relocation expenses are not provided.
Overview:
The Data Systems Manager will support a project that monitors tobacco product use among youth in the United States nationally and in select states. The initiative aims to enhance existing national- and state-level surveillance activities related to youth tobacco product use in the United States. The project achieves this by generating defensible and rapidly available data to assess the effectiveness of e-cigarette flavor restriction policies. This is done through the analysis of retail sales data for e-cigarettes and other tobacco products and implementing surveys to collect timely estimates of e-cigarette use, other tobacco product use and related behaviors among youth and young adults.
The Data Systems Manager will support the Tobacco Epidemic Evaluation Network (TEEN+) longitudinal study and retail sales data activities by creating and managing SQL databases and facilitating external data sharing through monitoring and maintenance of the virtual data enclave (VDE) and data use agreements. The Data Systems Manager will deploy a SQL environment to host and archive databases across the project, engaging in extract, transform and load (ETL) best practices to house, clean and analyze structured and unstructured data from diverse sources. This role will also help with data management and engage in best-practices through sharing longitudinal cohort survey data. The Data Systems Manager will primarily support project research activities through data management and coordination but may be asked to support other project activities as needed.
This position is based in Atlanta, Georgia and is eligible for hybrid work. Relocation expenses are not provided.
Duties and Responsibilities:
· Develop and execute a comprehensive data management plan, including the deployment and management of SQL database systems, particularly cloud-based solutions such as Microsoft Azure.
· Oversee and manage data use agreements, and handle inquiries and access requests related to the Virtual Data Enclave (VDE) and datasets.
· Generate data subsets from the original "golden copy" and facilitate the management, cleaning, and manipulation of diverse datasets.
· Assess and enhance current ETL processes to ensure data quality, accuracy, completeness and consistency across a variety of project databases.
· Collaborate with informatics specialists, enterprise architects, and other IT staff to understand data needs and requirements and ensure that the proposed data infrastructure supports the organizational security and privacy standards.
· Apply engineering best practices such as source control, automated testing, continuous integration and deployment, and peer review.
· Collaborate with internal and external subject matter experts and project partners to ensure safe and efficient data sharing.
· Perform other duties and projects as assigned.
· Travel up to 5 percent domestically.
Qualifications:
· Minimum of 5 years of full-time work experience related to dataset cleaning, manipulation and management or two years of full-time work experience with a master's degree in a related field
· Bachelor’s degree (or higher) in biostatistics, statistics, epidemiology, public health, computer science, information technology, data science or related field.
· Advanced proficiency in programming languages commonly used in data engineering, such as Python, Java, Scala, SQL, or R. Candidate should be able to implement data automations within existing frameworks as opposed to writing one off scripts.
· Possess strong data management skills. Experience with database oversight, servers and virtual environments.
· Knowledge of survey data and best practices for data management; familiarity with complex survey weights preferred.
· Ability to maintain data quality assurance and perform quality control checks of data analysis.
· Experience developing data-related documentation, such as data dictionaries or codebooks.
· Ability to create and check datasets to be read into statistical software programs including SAS, R, Stata.
· Experience working in a virtual environment with remote partners and teams.
· Familiarity with Institutional Review Board (IRB) and adherence to protocols preferred.
· Technical skills, including word processing, spreadsheets and database management.
· Strong written and oral communications, including prioritizing and answering queries from data users.
· Well-developed interpersonal, teamwork and collaboration skills.
· Self-starter with ability to be efficient and consistently deliver high-quality work under time constraints.
All qualified applicants will receive consideration for employment and will not be discriminated against on the basis of race, color, religion, sex, national origin, age, mental or physical disabilities, veteran status, and all other characteristics protected by law.
We comply with all applicable laws including E.O. 11246 and the Vietnam Era Readjustment Assistance Act of 1974 governing employment practices and do not discriminate on the basis of any unlawful criteria in accordance with 41 C.F.R. §§ 60-300.5(a)(12) and 60-741.5(a)(7). As a federal government contractor, we take affirmative action on behalf of protected veterans.
The CDC Foundation is a smoke-free environment.
Relocation expenses are not included.
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