Data Scientist

Centers for Disease Control and Prevention • Boston, MA

5d

About The Position

This position is with the Department of Health and Human Services, Center for Forecasting and Outbreak Analytics, headquartered in Atlanta, Georgia. The Data Scientist consults and collaborates with statistical, data science, artificial intelligence, and public health professionals to collect, link, process, mine, code, classify, and analyze public health surveillance, research, and administrative health data. The role develops expertise in health science, artificial intelligence, and programming languages as applied to public health. It also helps prepare reports addressing data science methods, data adequacy and quality, analytical methods and results, and relevance to public health issues. The Data Scientist collaborates with informatics and IT professionals on storage and management solutions for large structured and unstructured datasets and participates as an expert in work groups applying data science, statistics, and machine learning to public health data.

Requirements

• A degree in mathematics, statistics, computer science, data science, or a directly related field, with a major field of study appropriate to the position at least at the baccalaureate level; or a combination of education and experience including courses equivalent to a 30-semester-hour major in a qualifying field plus additional education or appropriate experience.
• At least one year of specialized experience equivalent to at least the GS-12 grade level in the Federal service.
• Experience designing, developing, applying, and interpreting advanced dynamical, mathematical, Bayesian, and/or agent-based infectious disease models.
• Experience building and implementing predictive infectious disease models, algorithms, or computational tools using git/GitHub and languages such as R, Python, Rust, Julia, or similar, and evaluating performance, scientific validity, and public health utility.
• Experience communicating complex quantitative methods and findings through reports, data visualizations, and presentations to technical and non-technical audiences, including public health professionals, program managers, or senior officials.
• Experience collaborating with multidisciplinary teams to plan and execute data science research or analytical projects.
• Experience engaging core stakeholders to understand and balance competing public health needs and contributing to strategic analytic planning by helping develop scientifically sound, feasible approaches responsive to decision-maker priorities.
• U.S. citizenship is required.
• Meet applicable time-in-grade restrictions by the announcement closing date.
• Successful completion of a background security investigation and favorable adjudication is required.
• Males born after December 31, 1959 must be registered with Selective Service or exempt.

Responsibilities

• Consult and collaborate with statistical, data science, artificial intelligence, and public health professionals on the collection, linkage, processing, mining, coding, classification, and analysis of public health surveillance, research, and administrative health data.
• Bring and develop expertise in health science, artificial intelligence, and programming languages as applied to public health.
• Assist in preparing comprehensive reports discussing data science methodology, the adequacy and quality of data, analytical methods and results, and relevance to the health issue under study.
• Collaborate with informatics and information technology professionals to develop data storage and management solutions for large structured and unstructured datasets.
• Participate as an expert in work groups focused on data science, statistics, and machine learning as applied to public health data.

Benefits

• Federal employee benefits package for employees and their families; specific benefits eligibility depends on position type.
• Incentives may be authorized, subject to factors including funding availability; possible incentives include moving expenses, recruitment or relocation incentives, student loan repayment, superior qualifications appointment, and creditable service for annual leave based on prior non-federal work or uniformed military service.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior