Public Health Data Scientist

DRT Strategies delivers expert management consulting and information technology (IT) solutions to large federal agencies, state and local government, and commercial clients in health care, technology, and financial services industries. The three letters of our name, DRT, stand for Driving Resolution Together, which is the core philosophy on which the company was founded. We collaborate with our clients to solve their most pressing challenges—together. We are problem solvers dedicated to your success, combining Fortune 500 experience with small business responsiveness. We have established a reputation with our clients as a forward-thinking consulting firm with demonstrated success in implementing solutions that lead to meaningful results. Our world-class consultants unite people to work collaboratively to achieve project goals and make vision a reality.

About the Role

DRT provides data, technology, and mission support to its federal public health partners. We collaborate to address diverse, complex, and emerging problems within the public health domains of environmental health, infectious disease, chronic disease, and emergency preparedness/response. Our support drives the adoption of emerging best practices and technologies to increase the usefulness and value of public health data. Our team develops innovative data capture and analysis techniques in the field to enhance emergency response efforts all around the world.

The Public Health Data Scientist works directly with public health data analysts, coordinators, epidemiologists, and developers. The Scientist analyses, cleans, organizes, and provides recommendations on public health data for use in public health surveillance systems. Working with technologies like Python, SAS, R, or SQL, the Scientist prepares data for visualization and user interaction. They access public health databases, data structures, and data flows to recommend and perform the import, structuring, and encoding of public health data. The Scientist supports public health analyses by identifying and implementing the best techniques and solutions to access, transform, and analyze data.

Responsibilities

• Develop and implement advanced data management systems design, or redesign, to utilize new technology.
• Gather, analyze, and cleanse public health and geospatial data sets.
• 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 to enable entity extraction, disambiguation, common operating picture solutions, visualization, and other data-related support.
• Implement improvements to data entity extraction, entity resolution, pattern extraction, link analysis, human and social-network links/connections, cloud online analytical processing, data frameworks, visualization support, and related algorithms.
• Create, modify, and maintain software capabilities that extract insight from data, to include information, software applications, machine learning models, automation, and other software components.
• Stay informed of the ways the organization uses its data and recommend emerging techniques and technologies to enhance data use.

Requirements

• Must have or be able to obtain a Public Trust clearance with the U.S. federal government.
• Experience in data-related roles.
• U.S. citizenship or lawful permanent residency (green card) due to contract requirements.

Qualifications

• Degree in Data Science, Computer Science, Public Health, or related field.
• Preferred: Recent experience with CDC environment and standards: SDLC, technical architecture, release processes.
• Preferred: Knowledge of public health data and related privacy requirements (HIPAA, PII, etc.).
• Preferred: Experience with cloud-hosted data tools and repositories.

Pay

$39/hour – $52/hour, commensurate with experience.