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Statistical Programmer Contract Jobs in Raleigh, NC

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Data Scientist

Durham, NC · Remote

$51 - $58/hr

This is a long-term contract opportunity offering remote work flexibility. We are looking for ... Minimum of 3 years of professional experience in data science, statistical programming, or ...

Support contract manufacturers in developing, deploying, and sustaining production test stations ... Experience with data analysis, statistical methods, and reliability engineering techniques * Strong ...

Collaborate with Procurement and Legal on vendor contracts. * Create and maintain engineering ... Apply statistical analysis and SPC systems to support data-driven decision-making. * Manage ...

Deep knowledge of FE Civil examination content covering mathematics, probability and statistics ... Varsity Tutors does not contract in: Alaska, California, Colorado, Delaware, Hawaii, Maine, New ...

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Statistical Programmer Contract information

See Raleigh, NC salary details

$82.1K

$143.2K

$242K

How much do statistical programmer contract jobs pay per year?

As of Jun 13, 2026, the average yearly pay for statistical programmer contract in Raleigh, NC is $143,179.00, according to ZipRecruiter salary data. Most workers in this role earn between $121,500.00 and $155,500.00 per year, depending on experience, location, and employer.

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

To thrive as a Statistical Programmer Contract, you need a solid background in statistics, programming (especially SAS or R), and a relevant degree in mathematics, statistics, or computer science. Familiarity with statistical software (such as SAS, R, or Python), CDISC standards, and experience with clinical trial datasets are typically required, and certification in SAS programming can be advantageous. Strong analytical thinking, attention to detail, and effective communication skills set top performers apart in this role. These competencies are vital for ensuring the accuracy, integrity, and regulatory compliance of statistical analyses in research or clinical environments.

What is a Statistical Programmer Contract?

A Statistical Programmer Contract refers to a temporary or project-based role where a professional specializes in programming and data analysis, often within clinical research or pharmaceutical industries. These programmers use statistical software like SAS, R, or Python to manage, analyze, and report clinical trial data. Contract positions typically focus on ensuring data integrity, generating tables, listings, and figures, and supporting regulatory submissions. The contract nature means the engagement is for a defined period or project, offering flexibility for both the programmer and the employer.

What are some common challenges faced by Statistical Programmers working on a contract basis, and how can they be addressed?

Statistical Programmers working on a contract often face challenges such as quickly adapting to new team environments, learning proprietary systems, and managing tight project deadlines. Since contractors may work with multiple clients or projects, strong organizational and communication skills are essential to align with varying expectations and workflows. Building rapport with permanent team members and proactively seeking clarification on project requirements can help smooth the transition and ensure project success.
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Other

Posted 8 days ago


Job description

Position: SAS Viya Developer
Location: Raleigh, NC
Duration: Contract
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:
  • SAS (Base, Macro, SQL, ODS, STAT, Graph)
  • CDISC standards (SDTM, ADaM, define.xml)
  • Regulatory submissions (FDA, global agencies)
  • Hands-on experience with:
    • Python (Pandas) and/or R (admiral, Shiny)
    • Cloud platforms (AWS/Azure)
  • Strong understanding of GxP and clinical compliance frameworks