Data Scientist

The CDC Foundation helps the Centers for Disease Control and Prevention (CDC) save and improve lives by unleashing the power of collaboration between CDC, philanthropies, corporations, organizations and individuals to protect the health, safety and security of America and the world. The CDC Foundation is the go-to nonprofit authorized by Congress to mobilize philanthropic partners and private-sector resources to support CDC’s critical health protection mission. Since 1995, the CDC Foundation has raised over $1.9 billion and launched more than 1,300 programs impacting a variety of health threats from chronic disease conditions including cardiovascular disease and cancer, to infectious diseases like rotavirus and HIV, to emergency responses, including COVID-19 and Ebola. The CDC Foundation managed hundreds of programs in the United States and in more than 90 countries last year. Visit www.cdcfoundation.org for more information.  
Job HighlightsLocation: Remote, must be based in the United StatesSalary Range: $92,700-$134,275 per year, plus benefits. Individual salary offers will be based on experience and qualifications unique to each candidate.Work Schedule: 8:00 am – 5:00 pm EST, Monday to Friday Position Type: Grant funded, limited-term opportunityPosition End Date: June 30, 2025 
OverviewThe Data Scientist will play a crucial role in advancing the CDC Foundation's mission by leveraging data to inform strategic decisions and initiatives in a public health organization. This role is aligned to the Workforce Acceleration Initiative (WAI). WAI is a federally funded CDC Foundation program with the goal of helping the nation’s public health agencies by providing them with the technology and data experts they need to accelerate their information system improvements. Working within Maine CDC’s Informatics team, as part of the Division of Disease Surveillance, the Data and Informatics Specialist will utilize advanced analytics, statistical techniques to derive insights that support public health efforts. The data scientist will develop a data visualization plan for the Infectious Disease Epidemiology program, adapt existing visualizations, and complete data analysis projects in collaboration with our Epidemiology team. The Data Scientist will be hired by the CDC Foundation and assigned to the Maine CDC Informatics team, as part of the Division of Disease Surveillance. This position is eligible for a fully remote work arrangement for U.S. based candidates.

Responsibilities

• Develop, implement, and improve data analysis and visualization tools for use by organization staff, to provide timely, relevant information that informs decisions affecting the public’s health.
• Analyze diverse datasets related to public health issues to identify trends, patterns, and correlations.
• Apply statistical methods to extract actionable insights.
• Develop predictive models to anticipate disease patterns, assess risk factors, and guide intervention strategies.
• Continuously optimize algorithms for enhanced accuracy and performance.
• Create compelling visualizations and reports to communicate findings to partners and decision-makers.
• Present data-driven insights in a clear and understandable manner to facilitate informed decision-making.
• Collaborate with the public health organization and its partners to understand their data needs and objectives.
• Provide data-driven support and guidance to inform public health policies and initiatives.
• Stay abreast of emerging trends, technologies, and methodologies in data science and analytics.
• Explore innovative approaches to address complex public health challenges and improve data analysis capabilities.
• Implement and maintain robust data security measures to protect sensitive information and ensure compliance with relevant regulations and standards.

Qualifications

• Bachelor’s degree or higher in Data Science, Statistics, Epidemiology, or related field. Master’s or PhD in related field preferred.
• Minimum of 5 years of relevant professional experience.
• Proficiency in statistical software (such as SAS, R, SQL).
• Proficiency in programming languages such as Python or R.
• Experience with data visualization tools (e.g., Tableau, Power BI, ArcGIS).
• Experience with data manipulation and analysis tools (e.g., SQL, Pandas, NumPy).
• Strong analytical thinking and problem-solving abilities.
• Ability to interpret complex datasets and derive meaningful insights.
• Excellent verbal and written communication skills.
• Ability to convey technical concepts to non-technical partners effectively.
• Flexibility to adapt to evolving project requirements and priorities.
• Professional certifications in data science or public health analytics preferred.
• Outstanding interpersonal and teamwork skills; collegial; energetic; and able to develop productive relationships with colleagues and partners.
• Demonstrated ability to work well independently and within teams.
• Experience working in a virtual environment with remote partners and teams.
• Proficiency in Microsoft Office.

Special NotesThis role is involved in a dynamic public health program. As such, roles and responsibilities are subject to change as situations evolve. Roles and responsibilities listed above may be expanded upon or updated to match priorities and needs, once written approval is received by the CDC Foundation in order to best support the public health programming.
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.