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Clinical R Programmer Jobs in Raleigh, NC (NOW HIRING)

Fujifilm

Senior Software Engineer, RIS

Durham, NC · On-site

$118.40K - $156.10K/yr

This position is intended to be a member of the engineering team, developing software for medical ... Design and implement product features from internal and external customer requirements and clinical ...

Duke University

Research Technician II

Durham, NC · On-site

$19.06 - $28.85/hr

... clinicians, and staff where interdisciplinary collaboration is embraced and great ideas accelerate ... Some basic computer science background (python or R programming) would be useful. Anticipated Pay ...

Duke University

Research Technician II

Durham, NC · On-site

$19.06 - $28.85/hr

... clinicians, and staff where interdisciplinary collaboration is embraced and great ideas accelerate ... Some basic computer science background (python or R programming) would be useful. Anticipated Pay ...

MMS

Study Design Statistician (Remote)

Raleigh, NC · On-site

... programmers develop intellectual property and assets to support the design and analysis of clinical ... Experience in SAS and/ or R statistical software packages. * Experience in study design and ...

Duke University

Biostatistician II

Durham, NC · On-site

... clinicians, and staff where interdisciplinary collaboration is embraced and great ideas accelerate ... Working knowledge of R, SAS, and/or Linux/Unix environments . * Strong organizational skills and ...

Duke University

Biostatistician II

Durham, NC

... clinicians, and staff where interdisciplinary collaboration is embraced and great ideas accelerate ... Working knowledge of R, SAS, and/or Linux/Unix environments . * Strong organizational skills and ...

IQVIA

Senior Director Strategic Planning

Durham, NC · On-site

$122.60K - $341.30K/yr

Provide support for the annual R&DS strategic planning cycle Business Intelligence: Lead business ... Education Bachelor's degree in business, finance, economics, life sciences or engineering required.

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Clinical R Programmer information

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How much do clinical r programmer jobs pay per hour?

As of May 30, 2026, the average hourly pay for clinical r programmer in Raleigh, NC is $62.97, according to ZipRecruiter salary data. Most workers in this role earn between $52.12 and $71.25 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 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 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 is the difference between Clinical R Programmer vs Clinical SAS Programmer?

AspectClinical R ProgrammerClinical SAS Programmer
Required CredentialsTypically requires a degree in statistics, biostatistics, or related field; proficiency in R programmingUsually requires a degree in statistics, biostatistics, or related field; proficiency in SAS programming
Work EnvironmentOften works in research-focused settings, academia, or biotech companies using open-source toolsCommonly employed in pharmaceutical companies, CROs, and clinical trial data analysis using SAS
Industry UsageGrowing in popularity for data analysis and visualization in clinical researchStandard 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 are popular job titles related to Clinical R Programmer jobs in Raleigh, NC? For Clinical R Programmer jobs in Raleigh, NC, the most frequently searched job titles are:
What job categories do people searching Clinical R Programmer jobs in Raleigh, NC look for? The top searched job categories for Clinical R Programmer jobs in Raleigh, NC are:
What cities near Raleigh, NC are hiring for Clinical R Programmer jobs? Cities near Raleigh, NC with the most Clinical R Programmer job openings:
Clinical R Programmer jobs near you
Business Analyst/PM - Clinical Data

Business Analyst/PM - Clinical Data

Tanisha Systems

Morrisville, NC

Other

Posted 28 days ago

Job description

Business Analyst/PM - Clinical Data Morrisville, NC 27560 - Onsite Role - Prefer local candidates Salary Market (DOE) FTE role We are looking for a seasoned Business Analyst with experience in requirement analysis and delivery of data & analytics solutions for regulated industries (Life Sciences / Pharma). The ideal candidate will drive requirement gathering, compliance alignment, and stakeholder engagement for a GxP-compliant, cloud-native data platform on Microsoft Fabric and Azure. Success will be measured by the ability to translate CDM/Biostatistics needs into validated pipelines, dashboards, and audit-ready documentation.

The Business Analyst acts as the bridge between clinical stakeholders and technical teams, ensuring requirements are captured, translated, and delivered effectively. Leads requirement gathering & documentation across CDM, Biostatistics, and vendor partners. Translates business and regulatory needs into functional specifications aligned with 21 CFR Part 11, GxP, and HIPAA.

Supports validation frameworks, audit-ready documentation, and reporting requirements such as Power BI dashboards and compliance scorecards. Facilitates workshops, UAT sessions, and milestone signoffs to secure stakeholder alignment. Prepares for future readiness, advanced analytics, and AI-driven insights.

Skills / Experience 10+ years in IT with 6+ years in Business Analysis for regulated environments (Life Sciences, Pharma, Healthcare, Clinical Data Management, Biostatistics). Proven ability to gather, document, and validate requirements; conduct workshops; create functional specifications; ensure compliance with FDA 21 CFR Part 11, GxP, HIPAA Knowledge of regulatory frameworks including 21 CFR Part 11, GxP, HIPAA, GDPR; experienced in IQ/OQ/PQ documentation, SOPs, and audit-ready deliverables Strong domain knowledge in CDM, Biostatistics workflows, CDISC (SDTM/ADaM), FDA eCTD; Tools: GitHub Projects, DevOps board, Jira, Power BI, Microsoft Fabric Understanding of Microsoft Fabric, governance policies, compliance documentation; exposure to BI solutions using Power BI Exposure to CDISC/SDTM/ADaM standards, OMOP mapping, advanced analytics (R, Python, SAS), and AI-driven accelerators (WinAIDM) Skilled in stakeholder engagement, workshops, UAT sessions, and cross-functional collaboration Experience defining validation rules, monitoring dashboards, and exception handling processes Experience leveraging GenAI tools (GitHub Copilot, Microsoft Fabric Copilot, M365 Copilot) Bachelor s degree in Life Sciences, Computer Science, or related field Role / Job Description Requirements Analysis & Translation Lead requirement gathering sessions; translate regulatory and business needs into functional specifications; document user stories, acceptance criteria, and workflows; author BRD and FRS Data Governance & Compliance Define validation rules; ensure dataset versioning, lineage, audit trails, and electronic signatures; collaborate with QA teams for validation documentation and SOPs; support compliance reviews and inspection readiness Analytics & Reporting Enablement Capture reporting requirements for Power BI dashboards, compliance scorecards, and study progress reports; define business rules for secure analytics environments; ensure reporting aligns with governance and audit workflows Stakeholder Engagement & Delivery Facilitate workshops, UAT sessions, and requirement walkthroughs; act as liaison between business stakeholders and technical teams; drive milestone sign-offs for requirement validation and compliance readiness Operational Oversight & Vendor Collaboration Define secure vendor data exchange requirements; monitor data quality dashboards; coordinate issue resolution; ensure scalability and performance benchmarks Future Readiness Contribute to roadmap planning for CDISC/SDTM/ADaM integration, OMOP mapping, advanced analytics, and AI-driven insights Communication & Troubleshooting Build productive relationships across teams; provide feedback during workshops; troubleshoot requirement gaps, compliance risks, and process inefficiencies; work in Agile/Scrum projects with Jira or Azure DevOps Secondary Skills / Good to Have Life Sciences domain knowledge, deeper knowledge of clinical data flows, CDISC standards, regulatory submission processes, vendor data exchange practices Advanced Analytics & AI Exposure Awareness of AI-driven accelerators (WinAIDM, Fabric Copilot); exposure to RWE and predictive modeling in clinical trials Certifications / Good to Have CBAP, PMI-PBA, IIBA; Microsoft certifications (DP-600, DP-203) Expected Outcomes Phase 1 Clinical Data Repository delivered within 16 18 weeks; requirements translated into compliant workflows and validated pipelines; audit-ready documentation completed. Power BI dashboards and compliance scorecards actively used by stakeholders; improved collaboration across CDM, Biostatistics, IT, and vendors; foundation established for Phase 2 (CDISC/OMOP integration, advanced analytics, AI-driven insights).

This Role Matters Ensures regulatory confidence by embedding compliance into every requirement; Drives operational efficiency by reducing manual data transfers and enabling secure vendor collaboration Enables analytics readiness by defining requirements for dashboards, scorecards, and validated pipelines; Fosters stakeholder alignment through workshops, UAT sessions, and milestone signoffs Lays the foundation for innovation, preparing the organization for CDISC/OMOP integration, advanced analytics, and AI-driven insights

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