Public Health Data Scientist

DRT Strategies, Inc. • Atlanta, GA

3d • $90,000 - $110,000

About The Position

The Public Health Data Scientist works directly with public health data analysts, coordinators, epidemiologists, and developers to analyze, clean, organize, and provide recommendations on public health data used in public health surveillance systems. Using technologies such as Python, SAS, R, or SQL, the Scientist prepares data for visualization and user interaction, examines public health databases, data structures, and data flows, and recommends and performs ways to import, structure, and encode data. The role supports public health analyses by identifying and implementing effective techniques and solutions for accessing and transforming data.

DRT Strategies provides data, technology, and mission support to federal public health partners addressing environmental health, infectious disease, chronic disease, and emergency preparedness and response. The team supports the adoption of emerging practices and technologies to increase the usefulness and value of public health data, and develops field-based data capture and analysis techniques to support emergency response efforts worldwide. This position requires the ability to obtain and maintain a U.S. government Public Trust clearance. Candidates must be U.S. citizens or lawful permanent residents to be eligible. The salary range is $90,000–$110,000, commensurate with experience.

Requirements

• At least 5 years of experience in data-related roles.
• Familiarity with improving data entity extraction, entity resolution (disambiguation), pattern extraction, link analysis, and human or social-network connection mapping.
• Strong foundation in applying analytical, statistical, and programmatic methods to transform raw data into operational insights.
• Experience with cloud online analytical processing (OLAP) environments and data frameworks.
• Experience with Python, SAS, R, or SQL.
• Degree in Data Science, Computer Science, Public Health, or a related field.
• Ability to obtain and maintain a U.S. government Public Trust clearance.
• Must be a U.S. citizen or lawful permanent resident (green card holder).

Nice To Haves

• Recent experience with CDC environment and standards, including SDLC, technical architecture, and release processes.
• Knowledge of public health data and related privacy requirements, including HIPAA and PII.
• Experience with cloud-hosted data tools and repositories.

Responsibilities

• Develop and implement advanced data management system designs or redesigns to use new technology.
• Gather, analyze, and cleanse public health and geospatial datasets.
• Apply analytical, statistical, and programmatic approaches to data.
• Develop, code, test, and maintain database programs.
• Maintain data integrity by working to eliminate redundancy.
• Research and enable processing of structured and unstructured data to derive patterns, trends, and correlations, and support entity extraction, disambiguation, common operating picture solutions, visualization, and other data-related needs.
• Implement improvements to data entity extraction, entity resolution, pattern extraction, link analysis, human and social-network links and connections, cloud online analytical processing, data frameworks, visualization support, and related algorithms.
• Create, modify, and maintain software capabilities that extract insight from data, including information, software applications, machine learning models, automation, and other software components.
• Stay informed about how the organization uses its data and recommend emerging techniques and technologies to enhance data use.

What This Job Offers

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