Data Science & Analytics Lead

ASRT, Inc.; Atlanta (GA); On-site; USD 130,000 - 170,000; Full time

Job summary

ASRT, Inc. seeks a Data Science & Analytics Lead to provide senior technical leadership for CDC healthcare-data modernization, analytics, and interoperability.

You will advise on data models, governance, cloud tech, and enterprise data architecture to build scalable public-health surveillance solutions. Required are a master’s in a health-related field and 8+ years in data science or health informatics, with strong R/Python/SQL skills and Power BI or similar visualization capabilities.

Qualifications

• Master’s degree in a health-related field; PhD preferred for advanced research.
• Minimum five years of relevant data analytics and health informatics experience.
• Strong experience in data modeling, governance, and analytics delivery.

Responsibilities

• Lead data assessment and determine analytical system requirements.
• Advise on cloud architectures for scalable public health analytics.
• Guide data curation, provenance, and governance across datasets.
• Develop roadmaps for enterprise data and analytics platforms.

Skills

Health informatics

Healthcare-data architecture

Interoperability

Common data models

Clinical-data analytics

EHR and claims data

Metadata governance

Cloud-based analytics

Machine learning

Electronic phenotypes

Public health surveillance

Education

Master’s in Health Informatics, Data Science, Epidemiology, Statistics, Economics

PhD or doctoral work in Health Informatics, Data Science, Epidemiology, Statistics, or Economics

Tools

Python

R

SQL

Power BI

Tableau

Azure

SAS

FHIR/HL7

Job description

Data Science & Analytics Lead

ASRT is seeking a Data Science & Analytics Lead to provide senior technical leadership for The Center for Disease Control and Prevention (CDC) healthcare-data modernization, advanced analytics, clinical-data interoperability, enterprise data architecture, and data-science strategy. This individual will advise CDC leadership and scientific teams on how to integrate large healthcare datasets, interoperability standards, common data models, cloud technologies, metadata, governance, and advanced analytics into scalable and secure public-health surveillance solutions. This position represents one of the most specialized roles in Task Area 2 and requires a combination of healthcare informatics, data science, interoperability, analytics, and enterprise technology experience.

Position Number

2608-0085-DSAL

Location

Atlanta, GA, USA

Travel

As required to fulfill the responsibilities of the position

Major Duties And Responsibilities

• Lead assessment of CDC data, analytical, and information-system requirements.
• Recommend modern analytical and computational architectures.
• Provide senior guidance on data science, analytics, machine learning, visualization, cloud, and CDC-approved AI approaches.
• Support integration and modernization of data systems and enterprise services.
• Advise on scientific-data curation, metadata, provenance, lineage, governance, and stewardship.
• Design strategies for management and analysis of large healthcare datasets.
• Advise on cloud-based and distributed analytical environments.
• Support development and implementation of enterprise data and metadata standards.
• Provide technical leadership concerning clinical-data interoperability and common data models.
• Guide development, validation, and management of electronic phenotypes and clinical case definitions.
• Support the use of EHR, claims, clinical, pharmaceutical, and commercial healthcare datasets for public-health surveillance.
• Collaborate with CDC technical governance, leadership, epidemiologists, statisticians, and scientific stakeholders.
• Develop roadmaps for enterprise data, analytics, and knowledge-management systems.
• Evaluate technical problems and recommend corrective actions.
• Ensure technical solutions align with CDC enterprise platforms, governance, architecture, and security requirements.
• Support migration from siloed analytical environments into enterprise capabilities where appropriate.

MINIMUM QUALIFICATIONS

Education And Experience

• Master’s degree in Health Informatics, Data Science, Epidemiology, Statistics, Economics, or related discipline, consistent with CDC’s Task 14 requirement.

Preferred Education

• PhD or doctoral work in Health Informatics, Data Science, Epidemiology, Statistics, or Economics.

Minimum Experience

• 8 years of progressively responsible data science, Health Informatics, analytics, healthcare-data, or information-systems experience.
• Significant experience using R, Python, and SQL.
• Experience managing and analyzing large healthcare datasets.
• Demonstrated knowledge of healthcare interoperability standards, including HL7 and FHIR.
• Experience with healthcare common data models.
• Experience with Power BI or comparable visualization platforms.
• Experience with cloud-based analytics.
• Experience translating technical/data-science requirements into recommendations for scientific or executive stakeholders.

Preferred Experience

• OMOP/OHDSI expertise.
• HealthVerity, Premier, Truveta, IQVIA, PCORnet, MarketScan, or comparable commercial/aggregated healthcare datasets.
• CMS, HRSA, VA, DHA, or other Federal healthcare datasets.
• Electronic phenotypes and clinical case definitions.
• Distributed computing and large relational databases.
• Microsoft Azure.
• CDC EDAV/1CDP.
• CDC Data Modernization Initiative experience.
• Clinical quality measures and public-health surveillance using EHR/claims data.
• Federal healthcare data modernization.

Required

• Candidates should possess at least five years of relevant data analysis experience, consistent with the approved GSA labor category, with senior level candidates expected to demonstrate substantially greater depth. Experience should include complex data analysis, data quality management, reporting, dashboards or visualization, development of data definitions and business rules, and communication of analytical results to stakeholders.
• For this assignment, highly relevant experience includes Federal or state public health analytics, cardiovascular or chronic-disease data, GIS and small area analysis, market research or population segmentation data, statistical modeling, epidemiologic or surveillance data, scientific writing, and support to CDC or HHS programs.
• The preferred candidate will demonstrate advanced capability with SAS, SUDAAN, R, Python, SQL, ArcGIS, Tableau, Power BI, and comparable analytical and visualization technologies.
• Experience with CDC enterprise environments, including EDAV, CDC PLACES, BRFSS, CDC WONDER, REDCap, SharePoint, and Federal data-governance processes, is highly desirable.
• Experience developing reproducible analytical workflows, data dictionaries, codebooks, annotated programs, quality control procedures, dashboards, accessible electronic products, scientific reports, and health communication materials is strongly preferred.

Desirable

• Previous experience working in a similar role

Required Skills & Tools

• Health informatics and healthcare-data architecture.
• Healthcare-data interoperability.
• Common data models.
• Clinical-data analytics.
• EHR and claims data.
• Large healthcare/public-health datasets.
• Metadata, data lineage, provenance, stewardship, and governance.
• Enterprise data architecture.
• Cloud-based and distributed analytics.
• Machine-learning and advanced-analytics methods.
• Electronic phenotypes and clinical case definitions.
• Technical roadmapping and solution assessment.
• HL7 - demonstrated knowledge/experience required.
• FHIR - demonstrated knowledge/experience required.
• OMOP or comparable healthcare common data model experience.
• Python - advanced proficiency.
• R - advanced proficiency.
• SQL - advanced proficiency.
• Microsoft Power BI or comparable enterprise visualization platform.
• Azure or comparable Federal/cloud analytics platform highly desirable.
• Familiarity with distributed-computing technologies and large relational databases.
• Familiarity with metadata/catalog/governance tools.
• Familiarity with EDAV and 1CDP highly desirable.
• Familiarity with Git/Azure DevOps, CI/CD, or comparable development-governance environments desirable.
• Knowledge of NIST/FISMA/FedRAMP requirements in Federal data environments desirable.

Language Skills

• The candidate must possess excellent oral and written communication skills in English.

REQUIREMENT

Must be a United States citizen or permanent resident or have authorization for employment in the United States.

SALARY

Commensurate with qualifications and experience.

Salary: $130,000-$170,000