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Clinical Statistical Programmer Jobs in Florida (NOW HIRING)

Provide statistical consultancy support to sponsors across the full span of clinical development, including oversight of third-party statistical and programming deliverables. * Maintain current ...

BIOSTATISTICIAN LEAD

Tampa, FL ยท On-site

$73K - $120K/yr

Proficiency in statistical programming and data analysis software Experience with complex ... clinical research design principles Preferred Soft Skills: Strong leadership and mentorship ...

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Clinical Statistical Programmer information

See Florida salary details

$12

$40

$67

How much do clinical statistical programmer jobs pay per hour?

As of Jun 15, 2026, the average hourly pay for clinical statistical programmer in Florida is $40.49, according to ZipRecruiter salary data. Most workers in this role earn between $25.67 and $60.91 per hour, depending on experience, location, and employer.

What are some common challenges faced by Clinical Statistical Programmers when working with clinical trial data?

Clinical Statistical Programmers often encounter challenges such as handling large and complex datasets, ensuring data integrity, and adhering to strict regulatory guidelines (like CDISC standards). Collaborating closely with biostatisticians, data managers, and clinical teams is essential to resolve data discrepancies and meet tight project deadlines. Staying updated on evolving regulatory requirements and software tools is also vital to maintain high-quality deliverables in a fast-paced environment.

What are the key skills and qualifications needed to thrive as a Clinical Statistical Programmer, and why are they important?

To thrive as a Clinical Statistical Programmer, you need strong proficiency in statistical programming languages (such as SAS or R), a background in statistics or life sciences, and familiarity with clinical trial processes. Experience with CDISC standards (SDTM, ADaM), regulatory submission requirements, and version control systems is highly valued. Attention to detail, problem-solving abilities, and effective communication are crucial soft skills for collaborating with cross-functional teams and ensuring data quality. These skills ensure the accurate analysis and reporting of clinical data, which is critical for regulatory compliance and successful clinical trial outcomes.

What does a Clinical Statistical Programmer do?

A Clinical Statistical Programmer is responsible for managing and analyzing clinical trial data using statistical software, such as SAS or R. Their primary tasks include creating datasets, programming statistical analyses, and generating tables, listings, and figures for clinical study reports. They work closely with biostatisticians and clinical research teams to ensure data accuracy and regulatory compliance. Their work is essential for supporting submissions to regulatory agencies and for making data-driven decisions in clinical research.

What Does a Clinical Statistical Programmer Do?

The job duties of a clinical statistical programmer involve collecting data, performing statistical analysis, and analyzing data sets according to the needs of their employer or client. Your responsibilities in this career may involve using SAS programming to create and analyze data sets during clinical trials or other clinical experiments and studies. You may also be involved in performing data integration for reports following clinical research or statistical analysis for quality control (QC).

What are popular job titles related to Clinical Statistical Programmer jobs in Florida? For Clinical Statistical Programmer jobs in Florida, the most frequently searched job titles are:
What job categories do people searching Clinical Statistical Programmer jobs in Florida look for? The top searched job categories for Clinical Statistical Programmer jobs in Florida are:
What are popular job titles related to Clinical Statistical Programmer jobs in FL? For Clinical Statistical Programmer jobs in FL, the most frequently searched job titles are:
Information Technology_USA - USA_Data Scientist

Information Technology_USA - USA_Data Scientist

Real Soft, Inc.

Jacksonville, FL โ€ข On-site

Contractor

Posted 3 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
โ€ข Design, develop, and validate SDTM and ADaM datasets in compliance with CDISC standards
โ€ข Lead generation of define.xml, aCRF/eCRF annotations, and submission-ready deliverables
โ€ข Develop and optimize automated submission pipelines for FDA and global regulatory authorities
โ€ข Ensure compliance with GxP, 21 CFR Part 11, HIPAA, and ICH E6 guidelines
Data Engineering & Automation
โ€ข Architect and implement end-to-end clinical data pipelines using SAS, Python, and R
โ€ข Develop reusable SAS macro libraries and automation frameworks
โ€ข Build scalable data pipelines including modern formats (JSON/XPT alternatives)
โ€ข Drive migration from legacy systems to modern data architectures
Cloud & Platform Engineering
โ€ข Lead implementation and optimization of SAS Viya platforms on AWS/Azure
โ€ข Manage cloud infrastructure components (EKS, EC2, EFS, FSx, Databricks, etc.)
โ€ข Implement FinOps practices for cost governance and optimization
โ€ข Evaluate and onboard next-gen analytics platforms (e.g., Databricks)
Leadership & Stakeholder Management
โ€ข Lead cross-functional teams across US, UK, and offshore locations
โ€ข Collaborate with clinical, statistical, regulatory, and IT stakeholders
โ€ข Drive Agile delivery and sprint planning for data and platform initiatives
โ€ข Manage vendor relationships, tool selection, and licensing strategies
Compliance & Governance
โ€ข Ensure adherence to regulatory and audit requirements (FDA, OCC, SOX, Basel III as applicable)
โ€ข Maintain audit-ready documentation and validation processes
โ€ข Implement data governance, traceability, and reproducibility standards
Required Qualifications
โ€ข Bachelor's or Master's degree in Computer Science, Statistics, Life Sciences, or related field
โ€ข 15+ years of experience in statistical programming and clinical data management
โ€ข Strong expertise in:
o SAS (Base, Macro, SQL, ODS, STAT, Graph)
o CDISC standards (SDTM, ADaM, define.xml)
o Regulatory submissions (FDA, global agencies)
โ€ข Hands-on experience with:
o Python (Pandas) and/or R (admiral, Shiny)
o Cloud platforms (AWS/Azure)
โ€ข Strong understanding of GxP and clinical compliance frameworks
Preferred Qualifications
โ€ข Experience with SAS Viya architecture and administration
โ€ข Familiarity with Databricks, DBT, or modern data engineering tools
โ€ข Knowledge of CI/CD tools (Jenkins, Git)
โ€ข Experience in financial/regulatory environments (Basel III, CCAR, OCC) is a plus
โ€ข AWS or cloud certifications
Key Skills
โ€ข Clinical Data Standards: SDTM, ADaM, CDISC
โ€ข Programming: SAS, Python, R, SQL
โ€ข Cloud: AWS, Azure
โ€ข Tools: Pinnacle 21, Git, Jenkins, Power BI, Grafana
โ€ข 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 :