SAS Viya Developer

Artech LLC

Raleigh, NC

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JOB DETAILS

SALARY

$55–$60 Per Hour

SKILLS

Agile Programming Methodologies, Amazon Elastic Compute Cloud (EC2), Amazon Web Services (AWS), Automation, Basel III (Third Basel Accord), Biology, Case Report Form (CRF), Clinical Data, Clinical Data Interchange Standards Consortium (CDISC), Clinical Data Management, Clinical Practices/Protocols, Cloud Architecture, Cloud Computing, Code of Federal Regulations, Comprehensive Capital Analysis and Review (CCAR), Computer Science, Continuous Deployment/Delivery, Continuous Integration, Cost Control, Cross-Functional, Data Management, Data Processing, Data Sets, DevOps, FDA (Food and Drug Administration), FDA Requirements, Financial Regulations, Git, GxP, HIPAA (Health Insurance Portability and Accountability Act), ICH Regulations, JSON, Jenkins, Lead Generation, Leadership, Licensing, Licensing Compliance, Maintain Compliance, Microsoft Windows Azure, Pinnacle, Power BI, Python Programming/Scripting Language, R Programming Language, Regulations, Regulatory Compliance, Regulatory Submissions, SQL (Structured Query Language), Sarbanes-Oxley Act (SOX), Scalable System Development, Software Engineering, Sprint Planning, Statistical Analysis System (SAS), Statistical Programming Languages, Statistics, Supplier Relationship Management (SRM), System Migration, Team Lead/Manager, Traceability, Validation Documentation, Vendor/Supplier Relations, XML (EXtensible Markup Language)

LOCATION

Raleigh, NC

POSTED

1 day ago

Request ID: 90965-1
Title: SAS Viya Developer
Locations: Raleigh, NC (Hybrid/Onsite)
Duration: 6 Months
Pay Range: $55 - $60/Hour on W2/C2C (All inclusive)

Role Descriptions:
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.
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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

Role Descriptions: 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 RDevelop 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 Bachelors or Masters degree in Computer Science| Statistics| Life Sciences| or related field15+ years of experience in statistical programming and clinical data management Strong 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 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 plusAWS or cloud certifications

Key Skills Clinical Data Standards: SDTM| ADaM| CDISC Programming: SAS| Python| R| SQLCloud: AWS| AzureTools: Pinnacle 21| Git| Jenkins| Power BI| Grafana Methodologies: Agile| DevOps| Data Governance15+ years of experience in statistical programming and clinical data management

Essential Skills: 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 RDevelop 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| regulator

Company Benefits & Culture

Inclusive and diverse work environment
Opportunities for professional growth and development
Comprehensive health and wellness benefits

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About the Company

Artech LLC

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