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R Programmer Jobs in Florida (NOW HIRING)

FWG Solutions, Inc.

AC&R Technician

Panama City Beach, FL · On-site

$22.25 - $30.50/hr

We are a trusted provider of cybersecurity, logistics, advanced engineering and operational support ... This position is part of the LCAC 100 Program The AC&R Technician is responsible for the operations ...

BCForward

CMM Operator/Programmer

Jupiter, FL · On-site

$45 - $50/hr

CMM Operator/Programmer, Parts Inspector A Location: Jupiter, FL 33478 Shift Timing: Mon Friday 40.00 Hours Per Week Anticipated start date: 1-2 Weeks Duration: 06 month (Temp to Hire) Pay rate: $50 ...

NextEra Energy

Senior IT Programmer Analyst

Juno Beach, FL

$44.50 - $60.25/hr

Proficiency in programming languages such as Python, R, SQL, and experience with big data technologies (e.g., Hadoop, Spark). * Deep understanding of data warehousing concepts, ETL processes (Glue ...

All Native Group

Computer Programmer II

Orlando, FL · On-site +1

Reporting to the Programmer III, your primary focus is the successful migration of legacy content to Adobe Captivate and the SCORM (Sharable Content Object Reference Model) wrapping of all final ...

All Native Group

Computer Programmer II

Orlando, FL

Reporting to the Programmer III, your primary focus is the successful migration of legacy content to Adobe Captivate and the SCORM (Sharable Content Object Reference Model) wrapping of all final ...

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All JobsR Programmer JobsR Programmer Jobs in Florida

R Programmer information

See Florida salary details

$59.8K

$92.7K

$112.8K

How much do r programmer jobs pay per year?

As of Jul 21, 2026, the average yearly pay for r programmer in Florida is $92,664.00, according to ZipRecruiter salary data. Most workers in this role earn between $85,900.00 and $104,200.00 per year, depending on experience, location, and employer.

What Does an R Programmer Do?

An R programmer works with a unique computer language called R to perform duties such as statistical computing and data collection and analysis with the goal of optimization for a business. As an R programmer, you can use this language, which is open source, to create graphical representations or simulations of data as well as conduct analysis of that data. Other job duties include designing statistical models, formulating procedures, and providing technical assistance for clients. In this role, you can use your computer code knowledge to develop tools for a variety of different fields, from machine learning to statistical analysis for businesses to data mining for technology companies.

What are some common challenges R Programmers face when collaborating on data analysis projects within a team?

R Programmers often work closely with data scientists, analysts, and other programmers, which can present challenges such as ensuring code reproducibility, maintaining clean documentation, and managing version control. It's important to write clear, well-commented scripts and use tools like Git to facilitate collaboration. Additionally, integrating R code with other technologies or platforms may require extra coordination with team members who specialize in different languages or systems. Addressing these challenges can lead to smoother workflows and more reliable project outcomes.

Are R programmers in demand?

R programmers are in demand in fields such as data analysis, statistics, and research, especially in industries like healthcare, finance, and academia. Proficiency in data visualization, statistical modeling, and tools like RStudio increases employability, with many roles requiring experience in data manipulation and analysis.

What jobs require R programming?

Jobs that require R programming include data analyst, data scientist, biostatistician, research scientist, and statistical programmer roles. These positions often involve data analysis, statistical modeling, and visualization, and may require knowledge of related tools like RStudio and packages such as ggplot2 or dplyr.

What is the difference between R Programmer vs Data Analyst?

AspectR ProgrammerData Analyst
Required SkillsProficiency in R, statistical analysis, data visualizationData manipulation, basic statistical skills, Excel, SQL
CertificationsOften no formal certification, but R programming courses preferredCertifications like CAP, Microsoft Excel certifications common
Work EnvironmentData science teams, research labs, tech companiesBusiness, marketing, finance departments across industries
Industry UsageTech, healthcare, research institutionsFinance, retail, healthcare, consulting

While both R Programmers and Data Analysts work with data, R Programmers focus more on coding in R for statistical analysis and visualization, often in research or data science teams. Data Analysts typically handle data manipulation and reporting in business contexts, using a broader set of tools. The roles overlap in data skills but differ in technical depth and application focus.

What are R Programmers?

R Programmers are professionals who use the R programming language to analyze data, create statistical models, and develop data-driven solutions. They often work in fields like data science, research, finance, and healthcare, leveraging R's extensive libraries for data manipulation, visualization, and statistical analysis. R Programmers may also build custom tools and automate data workflows to help organizations make informed decisions. Their expertise in R makes them valuable for tasks involving large datasets, predictive modeling, and reporting.

What are the key skills and qualifications needed to thrive as an R Programmer, and why are they important?

To thrive as an R Programmer, you need strong programming skills in R, a solid understanding of statistics, and typically a degree in computer science, mathematics, or a related field. Familiarity with data analysis libraries like dplyr and ggplot2, experience with version control systems such as Git, and knowledge of databases are commonly required. Attention to detail, problem-solving abilities, and effective communication help R Programmers stand out when working with diverse data sets and collaborating with teams. These skills are essential for accurately analyzing data, developing robust solutions, and supporting data-driven decision making.

What tech jobs pay $400,000 a year?

For R programmers, high-paying roles such as senior data scientists, machine learning engineers, or quantitative analysts can reach or exceed $400,000 annually, especially in finance, tech, or consulting firms. These positions typically require advanced skills in statistical modeling, programming, and experience with big data tools, often supplemented by advanced degrees and certifications. Compensation varies based on experience, location, and company size.

Is R still used in 2026?

R remains a widely used programming language for data analysis, statistical computing, and visualization in 2026. Data scientists and statisticians often use R alongside tools like RStudio and packages such as ggplot2 and dplyr, maintaining its relevance in research, academia, and industry. Proficiency in R continues to be valuable for roles requiring data manipulation and statistical modeling.
More about R Programmer jobs
What are the most commonly searched types of R Programmer jobs in Florida? The most popular types of R Programmer jobs in Florida are:
What are popular job titles related to R Programmer jobs in Florida? For R Programmer jobs in Florida, the most frequently searched job titles are:
What job categories do people searching R Programmer jobs in Florida look for? The top searched job categories for R Programmer jobs in Florida are:
What cities in Florida are hiring for R Programmer jobs? Cities in Florida with the most R Programmer job openings:
What are popular job titles related to R Programmer jobs in FL? For R Programmer jobs in FL, the most frequently searched job titles are:
R Programmer jobs near you
Infographic showing various R Programmer job openings in Florida as of July 2026, with employment types broken down into 84% Full Time, 8% Part Time, 2% Temporary, 4% Contract, 1% Nights, and 1% Summer. Highlights an 92% Physical, 2% Hybrid, and 6% Remote job distribution, with an average salary of $92,664 per year, or $44.5 per hour.
Information Technology_USA - USA_Data Scientist

Information Technology_USA - USA_Data Scientist

Real Soft, Inc.

Jacksonville, FL • On-site

Contractor

Re-posted 9 days ago

Job description

ONSITE TO Raleigh NC ONLY!
SAS Viya Developer
Location
Raleigh, NC (Hybrid/Onsite)
Role Overview
We are seeking a highly experienced SAS Viya devloper with experience between 5 to 10 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 Governance15+ years of experience in statistical programming and clinical data management
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| regulator, Project Code :

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