Senior Data Management and Analytics Specialist

GAP SOLUTIONS INC; Herndon (VA); On-site; USD 120,000 - 150,000; Full time

Job summary

GAP Solutions seeks a Senior Data Management and Analytics Specialist to support CDC data assets across Foundational Data and 1CDP. The role focuses on data stewardship, analytics, and collaboration with scientists, analysts, and engineers to enable reproducible data resources.

The position requires a strong background in epidemiology data management, public health analytics, and experience with 1CDP/Palantir Foundry, Databricks, and Azure.

Qualifications

• MPH in Epidemiology or closely related field.
• 5+ years of progressively responsible data management, public health analytics, or related work.
• Experience with 1CDP/Palantir Foundry, Databricks, Microsoft Azure, or comparable platforms.
• Experience handling large, complex public health or healthcare datasets.
• Proficient in Python, SQL, R, SAS, or similar analytics tools.
• Ability to translate scientific/programmatic requirements into data management solutions.

Responsibilities

• Provide senior data management and analytic support for Foundational Data/1CDP and CDC Data Hub assets.
• Support governance of population, demographic, and geospatial data.
• Assess data quality, fitness for use, and analytic readiness; advise on proper use and interpretation.
• Develop reusable code, data dictionaries, metadata, SOPs, and documentation.
• Collaborate with engineers on data pipelines and production readiness.

Skills

Python

SQL

R

SAS

Data analysis

Education

MPH in Epidemiology

Tools

Databricks

Palantir Foundry

Microsoft Azure

Spark

Job description

Position Objective: This Senior Data Management and Analytics Specialist to support the Centers for Disease Control and Prevention (CDC), Office of Public Health Data, Surveillance, and Technology (OPHDST). This cross-functional position will support the Actionable Data Branch (ADB) across Science and Data Analysis and Data Management, with particular emphasis on Foundational Data and One CDC Data Platform (1CDP).The Specialist will help ensure that high-value healthcare, population, community, demographic, geographic/geospatial, social, environmental, and other foundational data are well-managed, analytically ready, documented, discoverable, and effectively used across CDC. The position bridges data stewardship and management with scientific and analytic use, working with CDC scientists, analysts, engineers, program staff, and other stakeholders.Duties and Responsibilities:•Provide senior data management and analytic support for Foundational Data/1CDP and other CDC Data Hub data assets.•Support management and stewardship of population and community data, including demographic, Census, geographic/geospatial, social, environmental, and other foundational data assets.•Support healthcare and other complex data assets used for CDC scientific, surveillance, research, and analytic activities.•Assess data structure, quality, completeness, limitations, fitness for use, and analytical readiness and advise CDC users on appropriate use and interpretation.•Support the full data lifecycle, including ingestion, validation, quality control, release/version management, documentation, dissemination, maintenance, and archival.•Develop and maintain data extracts, transformations, reusable analytic assets, standardized core tables, reference data, and other foundational components supporting shared CDC use cases.•Support development, maintenance, and documentation of 1CDP ontology objects, data products, bundles, metadata, and Marketplace resources, including interoperability and appropriate version management.•Conduct data analysis, validation, and quality-control activities using Databricks, Python, R, SQL, SAS, Spark, or other CDC-approved tools.•Collaborate with CDC scientists and analysts on data preparation, exploratory analyses, analytic implementation, validation, and interpretation.•Develop and maintain reusable code, QC scripts, technical documentation, data dictionaries, metadata, SOPs, and data management documentation.•Collaborate with engineering teams to address data pipeline, transformation, dependency, and production-readiness issues.•Serve as a liaison among CDC program staff, scientists, analysts, engineers, and other stakeholders to translate scientific and program needs into usable, well-managed data resources.•Provide technical assistance, demonstrations, and knowledge sharing to help CDC users understand and effectively use Foundational Data, analytic tools, platforms, and workflows.•Promote reproducible, standardized, and reusable approaches to data management and analytics across ADB.Basic Qualifications:•MPH in Epidemiology or a closely related field.•5+ years of progressively responsible experience relevant professional experience supporting data management, public health analytics, epidemiology, health data science, or related work.•Experience with 1CDP/Palantir Foundry, Databricks, Microsoft Azure, or comparable cloud-based data and analytics platforms.•Demonstrated experience managing and analyzing large, complex public health, healthcare, population, or community datasets.•Experience with Python, SQL, R, SAS, or comparable analytical/programming tools.•Experience performing data quality assessment, validation, transformation, documentation, and analytic preparation.•Experience translating scientific or programmatic requirements into data management and analytic solutions.•Knowledge of data stewardship, governance, metadata, lineage, versioning, data quality, and reproducible analytical practices.•Ability to obtain and maintain the required Federal Public Trust.Preferred Qualifications:•Experience supporting CDC, HHS, or another Federal public health organization.•Experience managing or analyzing Census, demographic, geospatial, social determinants of health, environmental, population, or other foundational datasets.•Experience with large healthcare datasets such as EHR, claims, laboratory, pharmacy, hospital, or other licensed healthcare data.•Experience developing reusable data products, standardized data assets, ontology objects, or data marketplace resources.•Experience supporting scientific studies, analytic products, reports, presentations, or publications.•Familiarity with interoperability, common data structures, healthcare terminology, or public health data standards.•Ability to work across scientific, analytic, data management, and technical teams and communicate effectively with both technical and nontechnical stakeholders.•Strong analytical, organizational, documentation, and problem-solving skills.*This job description is not designed to cover or contain a comprehensive listing of activities, duties or responsibilities that are required by this position.To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. The requirements listed above are representative of the knowledge, skill, and/or ability required. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.GAP Solutions provides reasonable accommodations to qualified individuals with disabilities. If you need an accommodation to apply for a job, email us at [e-mail]. You will need to reference the requisition number of the position in which you are interested. Your message will be routed to the appropriate recruiter who will assist you. Please note, this email address is only to be used for those individuals who need an accommodation to apply for a job. Emails for any other reason or those that do not include a requisition number will not be returned.Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability, protected veteran status or other characteristics protected by law.