This role requires strong domain expertise in SDTM, ADaM, regulatory submissions, and SAS/Python/R programming, combined with experience in cloud platforms (AWS/Azure) and clinical data modernization ...
This role requires strong domain expertise in SDTM, ADaM, regulatory submissions, and SAS/Python/R programming, combined with experience in cloud platforms (AWS/Azure) and clinical data modernization ...
This role requires strong domain expertise in SDTM, ADaM, regulatory submissions, and SAS/Python/R programming, combined with experience in cloud platforms (AWS/Azure) and clinical data modernization ...
This role requires strong domain expertise in SDTM, ADaM, regulatory submissions, and SAS/Python/R programming, combined with experience in cloud platforms (AWS/Azure) and clinical data modernization ...
By combining innovative technology, data-driven insights, and deep clinical expertise, we partner ... F.R. § 214.2(h)(4)(iii)(A) is required. Physical Job Requirements The above statements are ...
By combining innovative technology, data-driven insights, and deep clinical expertise, we partner ... F.R. § 214.2(h)(4)(iii)(A) is required. Physical Job Requirements The above statements are ...
By combining innovative technology, data-driven insights, and deep clinical expertise, we partner ... F.R. 214.2(h)(4)(iii)(A) is required. Physical Job Requirements The above statements are intended ...
By combining innovative technology, data-driven insights, and deep clinical expertise, we partner ... F.R. 214.2(h)(4)(iii)(A) is required. Physical Job Requirements The above statements are intended ...
By combining innovative technology, data-driven insights, and deep clinical expertise, we partner ... F.R. 214.2(h)(4)(iii)(A) is required. Physical Job Requirements The above statements are intended ...
By combining innovative technology, data-driven insights, and deep clinical expertise, we partner ... F.R. 214.2(h)(4)(iii)(A) is required. Physical Job Requirements The above statements are intended ...
Sr Software Engineer: Embedded C++
$114K - $150K/yr
... support clinicians in treating sinus, otology, head and neck, skull base, airway, and related ... F.R. 214.2(h)(4)(iii)(A) is required. Physical Job Requirements The above statements are intended ...
Sr Software Engineer: Embedded C++
$114K - $150K/yr
... support clinicians in treating sinus, otology, head and neck, skull base, airway, and related ... F.R. 214.2(h)(4)(iii)(A) is required. Physical Job Requirements The above statements are intended ...
Sr Software Engineer: Embedded C++
Jacksonville, FL · On-site
$114K - $150K/yr
... support clinicians in treating sinus, otology, head and neck, skull base, airway, and related ... F.R. § 214.2(h)(4)(iii)(A) is required. Physical Job Requirements The above statements are ...
Sr Software Engineer: Embedded C++
Jacksonville, FL · On-site
$114K - $150K/yr
... support clinicians in treating sinus, otology, head and neck, skull base, airway, and related ... F.R. § 214.2(h)(4)(iii)(A) is required. Physical Job Requirements The above statements are ...
Sr Software Engineer: Embedded C++
Jacksonville, FL · On-site
$114K - $150K/yr
... support clinicians in treating sinus, otology, head and neck, skull base, airway, and related ... F.R. 214.2(h)(4)(iii)(A) is required. Physical Job Requirements The above statements are intended ...
Sr Software Engineer: Embedded C++
Jacksonville, FL · On-site
$114K - $150K/yr
... support clinicians in treating sinus, otology, head and neck, skull base, airway, and related ... F.R. 214.2(h)(4)(iii)(A) is required. Physical Job Requirements The above statements are intended ...
By combining innovative technology, data-driven insights, and deep clinical expertise, we partner ... F.R. 214.2(h)(4)(iii)(A) is required. Physical Job Requirements The above statements are intended ...
By combining innovative technology, data-driven insights, and deep clinical expertise, we partner ... F.R. 214.2(h)(4)(iii)(A) is required. Physical Job Requirements The above statements are intended ...
... R, Big Data, and programming preferred SAP BW, Cognos & Oracle experience preferred Knowledge of GxP and SOX regulations are preferred Additional Information Archana Melwani Clinical Recruiter ...
... R, Big Data, and programming preferred SAP BW, Cognos & Oracle experience preferred Knowledge of GxP and SOX regulations are preferred Additional Information Archana Melwani Clinical Recruiter ...
By combining innovative technology, data-driven insights, and deep clinical expertise, we partner ... F.R. § 214.2(h)(4)(iii)(A) is required. Physical Job Requirements The above statements are ...
By combining innovative technology, data-driven insights, and deep clinical expertise, we partner ... F.R. § 214.2(h)(4)(iii)(A) is required. Physical Job Requirements The above statements are ...
Clinical R Programmer information
See Atlantic Beach, FL salary details
$22.78 - $29.29
3% of jobs
$29.29 - $35.81
4% of jobs
$35.81 - $42.32
9% of jobs
$42.32 - $48.84
5% of jobs
$49.96 is the 25th percentile. Wages below this are outliers.
$48.84 - $55.35
17% of jobs
The median wage is $58.20 / hr.
$55.35 - $61.87
25% of jobs
$66.04 is the 75th percentile. Wages above this are outliers.
$61.87 - $68.38
17% of jobs
$68.38 - $74.89
9% of jobs
$74.89 - $81.41
6% of jobs
$81.41 - $87.92
2% of jobs
$87.92 - $94.44
1% of jobs
$22
$59
$94
How much do clinical r programmer jobs pay per hour?
As of Jun 9, 2026, the average hourly pay for clinical r programmer in Atlantic Beach, FL is $59.59, according to ZipRecruiter salary data. Most workers in this role earn between $49.33 and $67.45 per hour, depending on experience, location, and employer.
What are the key skills and qualifications needed to thrive as a Clinical R Programmer, and why are they important?
To thrive as a Clinical R Programmer, you need a solid background in statistics, R programming, and clinical trial data analysis, often supported by a degree in statistics, biostatistics, or a related field. Expertise in SAS, CDISC standards (SDTM/ADaM), and familiarity with clinical data management systems are commonly required. Attention to detail, problem-solving skills, and effective communication enable you to interpret data accurately and collaborate with cross-functional teams. These skills are vital for ensuring reliable statistical outputs that support regulatory submissions and data-driven decisions in clinical research.
What are Clinical R Programmers?
Clinical R Programmers are professionals who use the R programming language to manage, analyze, and visualize clinical trial data in the pharmaceutical, biotech, or healthcare industries. They play a key role in preparing statistical reports, generating tables, listings, and figures (TLFs), and ensuring data integrity for regulatory submissions. Clinical R Programmers collaborate with statisticians, data managers, and clinical teams to ensure the accuracy and compliance of clinical trial results with industry standards and regulatory requirements.
What are some common challenges faced by Clinical R Programmers when working with clinical trial data?
Clinical R Programmers often encounter challenges such as handling large and complex datasets, ensuring strict compliance with regulatory standards (like CDISC SDTM and ADaM), and maintaining data integrity throughout the analysis process. Collaboration can be demanding, as programmers must frequently coordinate with biostatisticians, data managers, and clinical teams to interpret data requirements and resolve discrepancies. Staying updated with evolving industry guidelines and managing tight project timelines are also common aspects of the role.
What is the difference between Clinical R Programmer vs Clinical SAS Programmer?
| Aspect | Clinical R Programmer | Clinical SAS Programmer |
|---|---|---|
| Required Credentials | Typically requires a degree in statistics, biostatistics, or related field; proficiency in R programming | Usually requires a degree in statistics, biostatistics, or related field; proficiency in SAS programming |
| Work Environment | Often works in research-focused settings, academia, or biotech companies using open-source tools | Commonly employed in pharmaceutical companies, CROs, and clinical trial data analysis using SAS |
| Industry Usage | Growing in popularity for data analysis and visualization in clinical research | Standard in clinical trial data management and regulatory submissions |
While both roles involve programming for clinical data analysis, Clinical R Programmers focus on using R for statistical analysis and visualization, whereas Clinical SAS Programmers primarily use SAS for data management and reporting. The choice depends on the company's preferred tools and project requirements.
What job categories do people searching Clinical R Programmer jobs in Atlantic Beach, FL look for? The top searched job categories for Clinical R Programmer jobs in Atlantic Beach, FL are:
What cities near Atlantic Beach, FL are hiring for Clinical R Programmer jobs? Cities near Atlantic Beach, FL with the most Clinical R Programmer job openings:
Contractor
Posted 27 days ago
Job description
Local to Raleigh, NC Only!
Role Overview
We are seeking a highly experienced Senior Statistical Programmer / Clinical Data Architect with 15+ years of expertise in clinical data programming, CDISC standards, and cloud-based analytics platforms. The ideal candidate will lead end-to-end clinical data workflows, regulatory submissions, and modern data platform transformations in GxP-regulated environments.
This role requires strong domain expertise in SDTM, ADaM, regulatory submissions, and SAS/Python/R programming, combined with experience in cloud platforms (AWS/Azure) and clinical data modernization initiatives.
Key Responsibilities
Clinical Data Programming & Regulatory Submissions
• Design, develop, and validate SDTM and ADaM datasets in compliance with CDISC standards
• Lead generation of define.xml, aCRF/eCRF annotations, and submission-ready deliverables
• Develop and optimize automated submission pipelines for FDA and global regulatory authorities
• Ensure compliance with GxP, 21 CFR Part 11, HIPAA, and ICH E6 guidelines
Data Engineering & Automation
• Architect and implement end-to-end clinical data pipelines using SAS, Python, and R
• Develop reusable SAS macro libraries and automation frameworks
• Build scalable data pipelines including modern formats (JSON/XPT alternatives)
• Drive migration from legacy systems to modern data architectures
Cloud & Platform Engineering
• Lead implementation and optimization of SAS Viya platforms on AWS/Azure
• Manage cloud infrastructure components (EKS, EC2, EFS, FSx, Databricks, etc.)
• Implement FinOps practices for cost governance and optimization
• Evaluate and onboard next-gen analytics platforms (e.g., Databricks)
Leadership & Stakeholder Management
• Lead cross-functional teams across US, UK, and offshore locations
• Collaborate with clinical, statistical, regulatory, and IT stakeholders
• Drive Agile delivery and sprint planning for data and platform initiatives
• Manage vendor relationships, tool selection, and licensing strategies
Compliance & Governance
• Ensure adherence to regulatory and audit requirements (FDA, OCC, SOX, Basel III as applicable)
• Maintain audit-ready documentation and validation processes
• Implement data governance, traceability, and reproducibility standards
Required Qualifications
• Bachelor's or Master's degree in Computer Science, Statistics, Life Sciences, or related field
• 15+ years of experience in statistical programming and clinical data management
• Strong expertise in:
o SAS (Base, Macro, SQL, ODS, STAT, Graph)
o CDISC standards (SDTM, ADaM, define.xml)
o Regulatory submissions (FDA, global agencies)
• Hands-on experience with:
o Python (Pandas) and/or R (admiral, Shiny)
o Cloud platforms (AWS/Azure)
• Strong understanding of GxP and clinical compliance frameworks
Preferred Qualifications
• Experience with SAS Viya architecture and administration
• Familiarity with Databricks, DBT, or modern data engineering tools
• Knowledge of CI/CD tools (Jenkins, Git)
• Experience in financial/regulatory environments (Basel III, CCAR, OCC) is a plus
• AWS or cloud certifications
Key Skills
• Clinical Data Standards: SDTM, ADaM, CDISC
• Programming: SAS, Python, R, SQL
• Cloud: AWS, Azure
• Tools: Pinnacle 21, Git, Jenkins, Power BI, Grafana
• Methodologies: Agile, DevOps, Data Governance
Role Descriptions: Key ResponsibilitiesClinical Data Programming & Regulatory SubmissionsDesign| develop| and validate SDTM and ADaM datasets in compliance with CDISC standardsLead generation of define.xml| aCRF/eCRF annotations| and submission-ready deliverablesDevelop and optimize automated submission pipelines for FDA and global regulatory authoritiesEnsure compliance with GxP| 21 CFR Part 11| HIPAA| and ICH E6 guidelinesData Engineering & AutomationArchitect and implement end-to-end clinical data pipelines using SAS| Python| and RDevelop reusable SAS macro libraries and automation frameworksBuild scalable data pipelines including modern formats (JSON/XPT alternatives)Drive migration from legacy systems to modern data architecturesCloud & Platform EngineeringLead implementation and optimization of SAS Viya platforms on AWS/AzureManage cloud infrastructure components (EKS| EC2| EFS| FSx| Databricks| etc.)Implement FinOps practices for cost governance and optimizationEvaluate and onboard next-gen analytics platforms (e.g.| Databricks)Leadership & Stakeholder ManagementLead cross-functional teams across US| UK| and offshore locationsCollaborate with clinical| statistical| regulatory| and IT stakeholdersDrive Agile delivery and sprint planning for data and platform initiativesManage vendor relationships| tool selection| and licensing strategiesCompliance & GovernanceEnsure adherence to regulatory and audit requirements (FDA| OCC| SOX| Basel III as applicable)Maintain audit-ready documentation and validation processesImplement data governance| traceability| and reproducibility standardsRequired QualificationsBachelors or Masters degree in Computer Science| Statistics| Life Sciences| or related field15+ years of experience in statistical programming and clinical data managementStrong expertise in: oSAS (Base| Macro| SQL| ODS| STAT| Graph)oCDISC standards (SDTM| ADaM| define.xml)oRegulatory submissions (FDA| global agencies)Hands-on experience with: oPython (Pandas) and/or R (admiral| Shiny)oCloud platforms (AWS/Azure)Strong understanding of GxP and clinical compliance frameworksPreferred QualificationsExperience with SAS Viya architecture and administrationFamiliarity with Databricks| DBT| or modern data engineering toolsKnowledge of CI/CD tools (Jenkins| Git)Experience in financial/regulatory environments (Basel III| CCAR| OCC) is a plusAWS or cloud certificationsKey SkillsClinical Data Standards: SDTM| ADaM| CDISCProgramming: SAS| Python| R| SQLCloud: AWS| AzureTools: Pinnacle 21| Git| Jenkins| Power BI| GrafanaMethodologies: Agile| DevOps| Data Governance
Essential Skills: Key ResponsibilitiesClinical Data Programming & Regulatory SubmissionsDesign| develop| and validate SDTM and ADaM datasets in compliance with CDISC standardsLead generation of define.xml| aCRF/eCRF annotations| and submission-ready deliverablesDevelop and optimize automated submission pipelines for FDA and global regulatory authoritiesEnsure compliance with GxP| 21 CFR Part 11| HIPAA| and ICH E6 guidelinesData Engineering & AutomationArchitect and implement end-to-end clinical data pipelines using SAS| Python| and RDevelop reusable SAS macro libraries and automation frameworksBuild scalable data pipelines including modern formats (JSON/XPT alternatives)Drive migration from legacy systems to modern data architecturesCloud & Platform EngineeringLead implementation and optimization of SAS Viya platforms on AWS/AzureManage cloud infrastructure components (EKS| EC2| EFS| FSx| Databricks| etc.)Implement FinOps practices for cost governance and optimizationEvaluate and onboard next-gen analytics platforms (e.g.| Databricks)Leadership & Stakeholder ManagementLead cross-functional teams across US| UK| and offshore locationsCollaborate with clinical| statistical| regulatory| and IT stakeholdersDrive Agile delivery and sprint planning for data and pla, Project Code :
Role Overview
We are seeking a highly experienced Senior Statistical Programmer / Clinical Data Architect with 15+ years of expertise in clinical data programming, CDISC standards, and cloud-based analytics platforms. The ideal candidate will lead end-to-end clinical data workflows, regulatory submissions, and modern data platform transformations in GxP-regulated environments.
This role requires strong domain expertise in SDTM, ADaM, regulatory submissions, and SAS/Python/R programming, combined with experience in cloud platforms (AWS/Azure) and clinical data modernization initiatives.
Key Responsibilities
Clinical Data Programming & Regulatory Submissions
• Design, develop, and validate SDTM and ADaM datasets in compliance with CDISC standards
• Lead generation of define.xml, aCRF/eCRF annotations, and submission-ready deliverables
• Develop and optimize automated submission pipelines for FDA and global regulatory authorities
• Ensure compliance with GxP, 21 CFR Part 11, HIPAA, and ICH E6 guidelines
Data Engineering & Automation
• Architect and implement end-to-end clinical data pipelines using SAS, Python, and R
• Develop reusable SAS macro libraries and automation frameworks
• Build scalable data pipelines including modern formats (JSON/XPT alternatives)
• Drive migration from legacy systems to modern data architectures
Cloud & Platform Engineering
• Lead implementation and optimization of SAS Viya platforms on AWS/Azure
• Manage cloud infrastructure components (EKS, EC2, EFS, FSx, Databricks, etc.)
• Implement FinOps practices for cost governance and optimization
• Evaluate and onboard next-gen analytics platforms (e.g., Databricks)
Leadership & Stakeholder Management
• Lead cross-functional teams across US, UK, and offshore locations
• Collaborate with clinical, statistical, regulatory, and IT stakeholders
• Drive Agile delivery and sprint planning for data and platform initiatives
• Manage vendor relationships, tool selection, and licensing strategies
Compliance & Governance
• Ensure adherence to regulatory and audit requirements (FDA, OCC, SOX, Basel III as applicable)
• Maintain audit-ready documentation and validation processes
• Implement data governance, traceability, and reproducibility standards
Required Qualifications
• Bachelor's or Master's degree in Computer Science, Statistics, Life Sciences, or related field
• 15+ years of experience in statistical programming and clinical data management
• Strong expertise in:
o SAS (Base, Macro, SQL, ODS, STAT, Graph)
o CDISC standards (SDTM, ADaM, define.xml)
o Regulatory submissions (FDA, global agencies)
• Hands-on experience with:
o Python (Pandas) and/or R (admiral, Shiny)
o Cloud platforms (AWS/Azure)
• Strong understanding of GxP and clinical compliance frameworks
Preferred Qualifications
• Experience with SAS Viya architecture and administration
• Familiarity with Databricks, DBT, or modern data engineering tools
• Knowledge of CI/CD tools (Jenkins, Git)
• Experience in financial/regulatory environments (Basel III, CCAR, OCC) is a plus
• AWS or cloud certifications
Key Skills
• Clinical Data Standards: SDTM, ADaM, CDISC
• Programming: SAS, Python, R, SQL
• Cloud: AWS, Azure
• Tools: Pinnacle 21, Git, Jenkins, Power BI, Grafana
• Methodologies: Agile, DevOps, Data Governance
Role Descriptions: Key ResponsibilitiesClinical Data Programming & Regulatory SubmissionsDesign| develop| and validate SDTM and ADaM datasets in compliance with CDISC standardsLead generation of define.xml| aCRF/eCRF annotations| and submission-ready deliverablesDevelop and optimize automated submission pipelines for FDA and global regulatory authoritiesEnsure compliance with GxP| 21 CFR Part 11| HIPAA| and ICH E6 guidelinesData Engineering & AutomationArchitect and implement end-to-end clinical data pipelines using SAS| Python| and RDevelop reusable SAS macro libraries and automation frameworksBuild scalable data pipelines including modern formats (JSON/XPT alternatives)Drive migration from legacy systems to modern data architecturesCloud & Platform EngineeringLead implementation and optimization of SAS Viya platforms on AWS/AzureManage cloud infrastructure components (EKS| EC2| EFS| FSx| Databricks| etc.)Implement FinOps practices for cost governance and optimizationEvaluate and onboard next-gen analytics platforms (e.g.| Databricks)Leadership & Stakeholder ManagementLead cross-functional teams across US| UK| and offshore locationsCollaborate with clinical| statistical| regulatory| and IT stakeholdersDrive Agile delivery and sprint planning for data and platform initiativesManage vendor relationships| tool selection| and licensing strategiesCompliance & GovernanceEnsure adherence to regulatory and audit requirements (FDA| OCC| SOX| Basel III as applicable)Maintain audit-ready documentation and validation processesImplement data governance| traceability| and reproducibility standardsRequired QualificationsBachelors or Masters degree in Computer Science| Statistics| Life Sciences| or related field15+ years of experience in statistical programming and clinical data managementStrong expertise in: oSAS (Base| Macro| SQL| ODS| STAT| Graph)oCDISC standards (SDTM| ADaM| define.xml)oRegulatory submissions (FDA| global agencies)Hands-on experience with: oPython (Pandas) and/or R (admiral| Shiny)oCloud platforms (AWS/Azure)Strong understanding of GxP and clinical compliance frameworksPreferred QualificationsExperience with SAS Viya architecture and administrationFamiliarity with Databricks| DBT| or modern data engineering toolsKnowledge of CI/CD tools (Jenkins| Git)Experience in financial/regulatory environments (Basel III| CCAR| OCC) is a plusAWS or cloud certificationsKey SkillsClinical Data Standards: SDTM| ADaM| CDISCProgramming: SAS| Python| R| SQLCloud: AWS| AzureTools: Pinnacle 21| Git| Jenkins| Power BI| GrafanaMethodologies: Agile| DevOps| Data Governance
Essential Skills: Key ResponsibilitiesClinical Data Programming & Regulatory SubmissionsDesign| develop| and validate SDTM and ADaM datasets in compliance with CDISC standardsLead generation of define.xml| aCRF/eCRF annotations| and submission-ready deliverablesDevelop and optimize automated submission pipelines for FDA and global regulatory authoritiesEnsure compliance with GxP| 21 CFR Part 11| HIPAA| and ICH E6 guidelinesData Engineering & AutomationArchitect and implement end-to-end clinical data pipelines using SAS| Python| and RDevelop reusable SAS macro libraries and automation frameworksBuild scalable data pipelines including modern formats (JSON/XPT alternatives)Drive migration from legacy systems to modern data architecturesCloud & Platform EngineeringLead implementation and optimization of SAS Viya platforms on AWS/AzureManage cloud infrastructure components (EKS| EC2| EFS| FSx| Databricks| etc.)Implement FinOps practices for cost governance and optimizationEvaluate and onboard next-gen analytics platforms (e.g.| Databricks)Leadership & Stakeholder ManagementLead cross-functional teams across US| UK| and offshore locationsCollaborate with clinical| statistical| regulatory| and IT stakeholdersDrive Agile delivery and sprint planning for data and pla, Project Code :
About Real Soft
Sourced by ZipRecruiter
Industry
It services
Company size
501 - 1,000 Employees
Headquarters location
Monmouth Junction, NJ, US
Year founded
1991