Public Health Data Scientist

DRT Strategies, Inc. is seeking a Public Health Data Scientist to support public health surveillance and data-driven decision-making in Atlanta, GA. In this onsite role, you will analyze, clean, organize, and recommend public health data so it can be used effectively across systems, including both structured and unstructured sources.

You will design and maintain data management capabilities, develop database programs, and prepare data for visualization and user interaction. Work will leverage analytical, statistical, and programmatic methods, with tools such as Python, SAS, R, and SQL, as well as cloud online analytical processing (OLAP) and data frameworks.

What you’ll do

• Develop and implement advanced data management system designs, including redesigns to adopt new technology
• Gather, analyze, and cleanse public health and geospatial data sets
• Apply analytical, statistical, and programmatic approaches to public health data
• Develop, code, test, and maintain database programs
• Maintain data integrity by reducing redundancy
• Research and enable processing of structured and unstructured data to identify patterns, trends, correlations, and support entity extraction and disambiguation
• Support solutions such as common operating picture, visualization, and other data-related capabilities
• Implement improvements to entity extraction, entity resolution, pattern extraction, and link analysis
• Enhance human and social-network connection mapping, including relationship links and connections
• Build and maintain software capabilities that extract insight from data, including information systems, software applications, machine learning models, automation, and related components
• Stay informed about how the organization uses its data and recommend emerging techniques and technologies to enhance data use

Requirements

• 5+ years of experience in data-related roles
• Familiarity implementing improvements to data entity extraction, entity resolution (disambiguation), pattern extraction, link analysis, and human/social-network connection mapping
• Strong foundation applying analytical, statistical, and programmatic methods to convert raw data into operational insights
• Experience with cloud online analytical processing (OLAP) environments and data frameworks
• Experience with Python, SAS, R, or SQL

Education

• Degree in Data Science, Computer Science, Public Health, or a related field

Preferred experience

• 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

Technologies

• Python
• SAS
• R
• SQL
• Cloud online analytical processing (OLAP)

Clearance, eligibility, and contracting constraints

• Ability to obtain and maintain a U.S. government Public Trust clearance is required
• Candidates must be U.S. citizens or lawful permanent residents (green card holders)
• No agencies, third parties, or Corp-to-Corp submissions

Salary

• $90,000 - $110,000 per year
• Salary commensurate with experience