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Sr Statistical Programmer Jobs (NOW HIRING)

The role of the Senior Statistical Programmer is to perform statistical programming activities for all assigned Phase I-IV clinical studies. This position performs statistical programming for ...

Role Summary The Sr Manager, Statistical Programming is responsible for the development of statistical programming on the study level by performing hands-on programming or oversight of outsourced ...

The Principal Statistical Programmer works with management to delegate tasks appropriately, track ... Senior Management levels * Creates all files, documents, and analyses necessary to support an ...

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Sr Statistical Programmer information

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$82.5K

$128.3K

$167.5K

How much do sr statistical programmer jobs pay per year?

As of Jun 12, 2026, the average yearly pay for sr statistical programmer in the United States is $128,293.00, according to ZipRecruiter salary data. Most workers in this role earn between $107,000.00 and $148,000.00 per year, depending on experience, location, and employer.

What are Sr Statistical Programmers?

Sr Statistical Programmers are experienced professionals who specialize in managing and analyzing complex data sets, typically in the clinical research and pharmaceutical industries. They use statistical software like SAS or R to develop and validate programs that support clinical trials, regulatory submissions, and data reporting. Their responsibilities often include ensuring data quality, creating analysis datasets, generating tables, listings, and figures, and collaborating with statisticians and data managers. Senior-level programmers also mentor junior staff and may oversee project timelines and deliverables. Their expertise is essential for turning raw clinical data into meaningful results that support drug development and regulatory decision-making.

How does a Sr Statistical Programmer typically collaborate with biostatisticians and clinical teams during a clinical trial project?

As a Sr Statistical Programmer, you will work closely with biostatisticians to translate statistical analysis plans into efficient programming code, often using SAS or R. You’ll also regularly interact with clinical data managers and project teams to clarify data requirements, resolve data discrepancies, and ensure the accuracy of deliverables. Effective communication and proactive problem-solving are key, as you may be responsible for leading programming efforts, mentoring junior programmers, and ensuring that all outputs meet regulatory and project timelines. This collaborative environment helps ensure the integrity and reproducibility of clinical trial results.

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

To thrive as a Sr Statistical Programmer, you need strong expertise in statistical programming languages like SAS or R, experience with clinical trial data, and a relevant degree in statistics, mathematics, or a related field. Proficiency with CDISC standards (SDTM, ADaM), data management systems, and regulatory submission tools is typically required. Excellent problem-solving, attention to detail, and effective communication are crucial soft skills for collaborating with cross-functional teams and ensuring high data quality. These skills and qualifications are essential for accurate analyses, regulatory compliance, and successful delivery of clinical research projects.
More about Sr Statistical Programmer jobs
What cities are hiring for Sr Statistical Programmer jobs? Cities with the most Sr Statistical Programmer job openings:
What states have the most Sr Statistical Programmer jobs? States with the most job openings for Sr Statistical Programmer jobs include:
Infographic showing various Sr Statistical Programmer job openings in the United States as of June 2026, with employment types broken down into 1% As Needed, 97% Full Time, and 2% Contract. Highlights an 84% Physical, 3% Hybrid, and 13% Remote job distribution, with an average salary of $128,293 per year, or $61.7 per hour.

Statistical Programmer / Clinical Data Architect

Volto USA

Raleigh, NC • On-site

Contractor

Posted 9 days ago


Job description

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.
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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
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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
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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
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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