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Clinical Data Programmer Jobs in Georgia (NOW HIRING)

The South Plains

Database Warehouse Developer

Atlanta, GA · On-site

$47.25 - $65/hr

Data Warehouse Developer Location: Atlanta, Georgia The Southeast Permanente Medical Group (TSPMG ... or clinical data experience is a plus. Why Join TSPMG? * Physician-led, patient-centered ...

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All JobsClinical Data Programmer JobsClinical Data Programmer Jobs in Georgia

Clinical Data Programmer information

See Georgia salary details

$58.7K

$100.4K

$179K

How much do clinical data programmer jobs pay per year?

As of Aug 15, 2026, the average yearly pay for clinical data programmer in Georgia is $100,449.00, according to ZipRecruiter salary data. Most workers in this role earn between $67,600.00 and $152,000.00 per year, depending on experience, location, and employer.

What is the difference between Clinical Data Programmer vs Clinical Data Analyst?

AspectClinical Data ProgrammerClinical Data Analyst
Required CredentialsBachelor's in Life Sciences, Biostatistics, or related field; knowledge of programming languages like SAS or RBachelor's in Statistics, Data Science, or related; strong analytical skills
Work EnvironmentClinical trial data management teams, often in CROs or pharmaceutical companiesData analysis teams, often in healthcare or research organizations
Employer & Industry UsageUsed in clinical research to prepare datasets for analysisUsed to interpret data, generate reports, and support decision-making

While both roles involve working with clinical data, Clinical Data Programmers focus on coding and preparing datasets, whereas Clinical Data Analysts interpret data and generate insights. Understanding these differences helps in choosing the right career path or job search focus.

What are the key skills and qualifications needed to thrive as a clinical data programmer, and why are they important?

To thrive as a Clinical Data Programmer, you need a strong background in programming (especially SAS or SQL), understanding of clinical trial data, and a degree in life sciences, statistics, or a related field. Familiarity with electronic data capture systems, CDISC standards (SDTM/ADaM), and regulatory requirements is typically expected, and relevant certifications can be advantageous. Attention to detail, analytical thinking, and effective communication are essential soft skills for ensuring data integrity and collaborating with cross-functional teams. These skills and qualifications are vital for producing accurate, regulatory-compliant datasets that support clinical research and successful drug development.

What is a clinical data programmer?

Clinical Data Programmers are professionals who manage, process, and analyze clinical trial data using specialized programming languages and software. They are responsible for creating and validating programs that ensure data collected during clinical studies is accurate, consistent, and ready for statistical analysis. Their work is essential to the integrity of clinical research, enabling regulatory submissions and supporting medical decision-making. Clinical Data Programmers often work closely with clinical data managers, statisticians, and other clinical research professionals.

How does a clinical data programmer typically collaborate with clinical research teams during a study?

Clinical Data Programmers work closely with clinical research associates, data managers, biostatisticians, and project managers to ensure the integrity and accuracy of clinical trial data. They often participate in study setup meetings, provide input on case report form (CRF) design, and develop programs for data validation and cleaning. Regular communication is essential to resolve any discrepancies or issues that arise during data collection and to implement mid-study changes. This collaborative environment ensures that the data is reliable and meets regulatory requirements.

What are popular job titles related to Clinical Data Programmer jobs in Georgia?

For Clinical Data Programmer jobs in Georgia, the most frequently searched job titles are:

What job categories do people searching Clinical Data Programmer jobs in Georgia look for?

The top searched job categories for Clinical Data Programmer jobs in Georgia are:

What are popular job titles related to Clinical Data Programmer jobs in GA?

For Clinical Data Programmer jobs in GA, the most frequently searched job titles are:

Clinical Data Programmer jobs near you
Infographic showing various Clinical Data Programmer job openings in Georgia as of August 2026, with employment types broken down into 75% Full Time, and 25% Part Time. Highlights an 100% In-person job distribution, with an average salary of $100,449 per year, or $48.3 per hour.

Senior Data Engineer/Devops

TRC Talent Solutions

Atlanta, GA • Remote

$100K - $136K/yr

Full-time

Posted 8 days ago

Job description

Senior Healthcare Data Engineer

Remote

TRC Talent Solutions is seeking a Senior Healthcare Data Engineer to support the continued growth and evolution of a healthcare organization's enterprise data and analytics platform. This role will play a key part in expanding centralized reporting, data integration, automation, and interoperability capabilities across multiple clinical and business systems.

The ideal candidate will bring a blend of healthcare data engineering, cloud data platform expertise, and hands-on experience supporting production environments. This position offers the opportunity to work across data pipelines, cloud infrastructure, analytics platforms, and healthcare integrations while helping shape future-state data architecture.

Responsibilities

  • Design, build, and support scalable data pipelines and integrations across healthcare and business systems

  • Develop and maintain ETL/ELT processes using modern cloud-based data platforms and integration tools

  • Support enterprise reporting and analytics initiatives by delivering high-quality, reliable data solutions

  • Monitor, troubleshoot, and maintain production data environments, integrations, and platform components

  • Support cloud-based data infrastructure within Microsoft Azure environments

  • Maintain and enhance connectivity between internal and external systems, including APIs, file-based integrations, and healthcare data exchanges

  • Analyze existing integrations and data workflows to support new platform development and future interoperability initiatives

  • Collaborate with business stakeholders, application teams, analysts, and technical teams to deliver data solutions that support operational and clinical objectives

  • Participate in platform operations, deployment support, environment management, and continuous improvement initiatives

  • Ensure data quality, security, reliability, and compliance within healthcare data environments

Qualifications

  • 5+ years of experience in Data Engineering, Data Integration, or related data platform roles

  • Experience working with healthcare data and healthcare information systems

  • Experience supporting EMR/EHR platforms such as Epic, Raintree, WebPT, Cerner, Meditech, Athenahealth, or similar systems

  • Strong SQL development and data modeling experience

  • Experience with cloud data warehouse technologies, preferably Snowflake

  • Experience developing and supporting ETL/ELT processes using tools such as Matillion, Azure Data Factory, SSIS, Informatica, or similar platforms

  • Hands-on experience within Microsoft Azure environments

  • Experience supporting production systems, monitoring integrations, troubleshooting issues, and maintaining platform stability

  • Familiarity with healthcare interoperability standards such as HL7, FHIR, APIs, and file-based integrations

  • Strong analytical, problem-solving, and communication skills

Preferred Qualifications

  • Epic experience

  • Snowflake experience

  • Matillion experience

  • Healthcare interoperability and integration experience

  • Experience supporting Azure-based data and analytics platforms

This is an opportunity to join a growing team where you will have broad exposure across data engineering, cloud technologies, analytics platforms, and healthcare integrations while helping drive the future of enterprise data capabilities.