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Healthcare Data Science Jobs in Atlanta, GA (NOW HIRING)

ASRT

Data Science & Analytics Lead

Atlanta, GA · On-site

$130K - $170K/yr

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 ...

ASRT Inc

Data Science & Analytics Lead

Atlanta, GA · On-site

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 ...

ASRT, Inc.

Data Science & Analytics Lead

Atlanta, GA · On-site

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 ...

Curant Health

Healthcare Data Analyst

Smyrna, GA · On-site

The ideal candidate is analytical, detail-oriented, comfortable working with data, and interested in developing their career in healthcare analytics and business intelligence. Duties and ...

Curant Health

Healthcare Data Analyst

Smyrna, GA

The ideal candidate is analytical, detail-oriented, comfortable working with data, and interested in developing their career in healthcare analytics and business intelligence. Duties and ...

Varsity Tutors

Data Science Tutor

Duluth, GA · Remote

$18 - $40/hr

Emphasizes translating business questions into analytical frameworks and connects data science to product management, marketing analytics, and healthcare informatics. * Curriculum Awareness ...

Varsity Tutors

Data Science Tutor

Marietta, GA · Remote

$18 - $40/hr

Emphasizes translating business questions into analytical frameworks and connects data science to product management, marketing analytics, and healthcare informatics. * Curriculum Awareness ...

Varsity Tutors

Data Science Tutor

Johns Creek, GA · Remote

$18 - $40/hr

Emphasizes translating business questions into analytical frameworks and connects data science to product management, marketing analytics, and healthcare informatics. * Curriculum Awareness ...

Varsity Tutors

Data Science Tutor

Alpharetta, GA · Remote

$18 - $40/hr

Emphasizes translating business questions into analytical frameworks and connects data science to product management, marketing analytics, and healthcare informatics. * Curriculum Awareness ...

Varsity Tutors

Data Science Tutor

Atlanta, GA · Remote

$18 - $40/hr

Emphasizes translating business questions into analytical frameworks and connects data science to product management, marketing analytics, and healthcare informatics. * Curriculum Awareness ...

Varsity Tutors

Data Science Tutor

Sandy Springs, GA · Remote

$18 - $40/hr

Emphasizes translating business questions into analytical frameworks and connects data science to product management, marketing analytics, and healthcare informatics. * Curriculum Awareness ...

Varsity Tutors

Data Science Tutor

Woodstock, GA · Remote

$18 - $40/hr

Emphasizes translating business questions into analytical frameworks and connects data science to product management, marketing analytics, and healthcare informatics. * Curriculum Awareness ...

Varsity Tutors

Data Science Tutor

Lawrenceville, GA · Remote

$18 - $40/hr

Emphasizes translating business questions into analytical frameworks and connects data science to product management, marketing analytics, and healthcare informatics. * Curriculum Awareness ...

Varsity Tutors

Data Science Tutor

Roswell, GA · Remote

$18 - $40/hr

Emphasizes translating business questions into analytical frameworks and connects data science to product management, marketing analytics, and healthcare informatics. * Curriculum Awareness ...

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All JobsHealthcare Data Science JobsHealthcare Data Science Jobs in Atlanta, GA

Healthcare Data Science information

See Atlanta, GA salary details

$44.2K

$158.7K

$234.2K

How much do healthcare data science jobs pay per year?

As of Sep 6, 2026, the average yearly pay for healthcare data science in Atlanta, GA is $158,691.00, according to ZipRecruiter salary data. Most workers in this role earn between $128,400.00 and $163,500.00 per year, depending on experience, location, and employer.

What is healthcare data science?

Healthcare data science is a field that uses data analysis, statistics, and machine learning to extract insights from health-related data. Professionals in this area work with large datasets from sources like electronic health records, clinical trials, and wearable devices. Their goal is to improve patient outcomes, optimize hospital operations, and support medical research by turning raw data into actionable information. This field requires knowledge of healthcare systems, data management, and advanced analytics techniques.

What are the key skills and qualifications needed to thrive as a healthcare data scientist?

To thrive as a Healthcare Data Scientist, you need a strong background in statistics, data analysis, programming (Python or R), and an understanding of healthcare systems, often supported by a degree in data science, computer science, or a related field. Experience with tools like SQL, machine learning frameworks, and familiarity with electronic health record (EHR) systems are typically required. Strong problem-solving skills, attention to detail, and effective communication help translate complex data insights into actionable healthcare solutions. These skills are crucial for deriving meaningful insights from complex healthcare data, improving patient outcomes, and supporting evidence-based decision-making.

What are some common challenges faced by healthcare data scientists when working with clinical data?

Healthcare data scientists often navigate challenges such as dealing with incomplete or inconsistent medical records, ensuring patient privacy and data security, and integrating data from diverse sources like electronic health records, lab results, and imaging systems. Additionally, they must collaborate closely with clinicians and IT staff to interpret complex datasets accurately and ensure that their analyses have practical clinical value. Maintaining compliance with healthcare regulations, such as HIPAA, is also a critical aspect of the role.

What is the difference between Healthcare Data Science vs Healthcare Data Analysis?

AspectHealthcare Data ScienceHealthcare Data Analysis
Required CredentialsTypically requires a degree in data science, statistics, or related fields; often includes programming skills and knowledge of machine learningUsually requires a background in healthcare, statistics, or data analysis; may include certifications in data analysis tools
Work EnvironmentInvolves developing models, algorithms, and predictive analytics; often in research or tech-focused settingsFocuses on interpreting data, generating reports, and supporting clinical or administrative decisions
Employer & Industry UsageUsed by healthcare tech companies, research institutions, and large healthcare providersCommon in hospitals, clinics, insurance companies, and healthcare consulting firms

Healthcare Data Science and Healthcare Data Analysis share overlapping skills but differ mainly in scope. Data scientists develop advanced models and predictive tools, while data analysts focus on interpreting data and generating insights. Both roles are vital in healthcare but serve different functions within the industry.

Can a healthcare data scientist work in healthcare?

Yes, healthcare data scientists work within healthcare organizations to analyze medical data, improve patient outcomes, and optimize operational efficiency. They often use tools like Python, R, and SQL, and require knowledge of healthcare systems, data privacy regulations, and statistical methods.

What can you do with a degree in healthcare data science?

A degree in healthcare data science prepares individuals for roles such as healthcare data analyst, data scientist, or informaticist, where they analyze medical data, develop predictive models, and improve patient outcomes. Skills in programming, statistics, and knowledge of healthcare systems are essential, and familiarity with tools like Python, R, and electronic health records is often required.

What are the most commonly searched types of Healthcare Data Science jobs in Atlanta, GA?

The most popular types of Healthcare Data Science jobs in Atlanta, GA are:

What are popular job titles related to Healthcare Data Science jobs in Atlanta, GA?

For Healthcare Data Science jobs in Atlanta, GA, the most frequently searched job titles are:

What job categories do people searching Healthcare Data Science jobs in Atlanta, GA look for?

The top searched job categories for Healthcare Data Science jobs in Atlanta, GA are:

What cities near Atlanta, GA are hiring for Healthcare Data Science jobs?

Cities near Atlanta, GA with the most Healthcare Data Science job openings:

Healthcare Data Science jobs near you
Infographic showing various Healthcare Data Science job openings in Atlanta, GA as of August 2026, with employment types broken down into 1% As Needed, 83% Full Time, 12% Part Time, and 4% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $158,691 per year, or $76.3 per hour.

Data Science & Analytics Lead

ASRT

Atlanta, GA • On-site

$130K - $170K/yr

Full-time

This job post has expired today. Applications are no longer accepted.

Job description

Job Type
Full-time
Description
JOB TITLE: Data Science & Analytics Lead
POSITION NUMBER: 260823-0085-DSAL
POSITION LOCATION: Atlanta, GA, USA
TRAVEL: As required to fulfill the responsibilities of the position
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
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.

Requirements
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.
To apply for this position:
  • If you are viewing this position on the ASRT Career page, please click on the "Apply" button.
  • If you are viewing this position on a site other than the ASRT Career page, you may use the "click to apply" link, or you may apply by visiting our Career page and searching for the job title and position number listed at the top of this job posting.
  • To view all of our open positions and to apply to job openings in which you may be interested, please visit our Career page at https://www.asrtinc.com/careers.

EEO/Vets/Disabled
Salary Description
$130,000-$170,000
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About ASRT

Sourced by ZipRecruiter

Industry

Business management consulting

Company size

51 - 200 Employees

Headquarters location

Smyrna, GA, US

Year founded

2017

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