Statistical Programmer Contractor

Position Summary:

The Statistical Programmer Contractor is responsible for developing, validating, and maintaining SAS programming deliverables to support clinical study analysis and reporting. This role collaborates closely with Biostatistics and other cross-functional team members to produce high-quality, compliant datasets, tables, listings, and figures while ensuring adherence to project timelines, SOPs, regulatory requirements, and CDISC standards.

Responsibilities:

• Program and validate tables, listings, figures, and derived datasets using SAS.
• Develop SDTM and ADaM datasets and supporting documentation.
• Prepare and review mapping specifications and annotated case report forms (CRFs).
• Perform quality control and validation activities for programming deliverables.
• Collaborate with study team members to identify, investigate, and resolve data and output issues.
• Review study documents and provide input to improve programming quality, efficiency, and consistency.
• Maintain complete, accurate, and audit-/inspection-ready programming documentation.
• Communicate project status, risks, issues, and timeline impacts clearly to stakeholders.

 Qualifications:

• Bachelor’s degree required; Master’s degree preferred in Statistics, Biostatistics, Mathematics, Computer Science, or a related field.
• Minimum of 10 years of relevant statistical programming experience within the pharmaceutical, biotechnology, or CRO industry.
• Phase 3 and regulatory submission experience preferred.
• Strong SAS programming skills, with experience developing SDTM, ADaM, tables, listings, and figures.
• Strong knowledge of clinical trial processes, regulatory requirements, and programming documentation.
• High attention to detail, with strong analytical, problem-solving, and communication skills.

Position Summary:

The Statistical Programmer Contractor is responsible for developing, validating, and maintaining SAS programming deliverables to support clinical study analysis and reporting. This role collaborates closely with Biostatistics and other cross-functional team members to produce high-quality, compliant datasets, tables, listings, and figures while ensuring adherence to project timelines, SOPs, regulatory requirements, and CDISC standards.

Responsibilities:

• Program and validate tables, listings, figures, and derived datasets using SAS.
• Develop SDTM and ADaM datasets and supporting documentation.
• Prepare and review mapping specifications and annotated case report forms (CRFs).
• Perform quality control and validation activities for programming deliverables.
• Collaborate with study team members to identify, investigate, and resolve data and output issues.
• Review study documents and provide input to improve programming quality, efficiency, and consistency.
• Maintain complete, accurate, and audit-/inspection-ready programming documentation.
• Communicate project status, risks, issues, and timeline impacts clearly to stakeholders.

 Qualifications:

• Bachelor’s degree required; Master’s degree preferred in Statistics, Biostatistics, Mathematics, Computer Science, or a related field.
• Minimum of 10 years of relevant statistical programming experience within the pharmaceutical, biotechnology, or CRO industry.
• Phase 3 and regulatory submission experience preferred.
• Strong SAS programming skills, with experience developing SDTM, ADaM, tables, listings, and figures.
• Strong knowledge of clinical trial processes, regulatory requirements, and programming documentation.
• High attention to detail, with strong analytical, problem-solving, and communication skills.

Position Summary:

Provide support to develop and implement data repository and analytics tools in support of pharmaceutical regulated GMP (Good Manufacturing Practices) data and with the focus on manufacturing and quality domains.

Essential Duties & Responsibilities:

• Analyze business needs and requirements for data and analytics to support regulatory filings.
• Identify, classify, and map data sources.
• Build data lineage diagram from data source to analytics ready datasets
• Determine data curation requirements to help organize, clean, manage, and maintain data so it can be used reliably for analytical use cases.
• Provide support for technical activities such as building data integration, design data architecture, and data transformation and processing.
• Develop data governance standards to comply with company and industry best practices.
• Lead development of key project documents such as user requirements, design specifications, and configuration specifications.
• Lead development of test scenarios and scripts in partnership with business, technical, and validation team members.
• Lead test execution according to test protocols.
• Provide support for development of standard operating procedures and other documentation required to go-Live.
• Monitor execution of testing and relay results to technical team to address issues.
• Provide support for training business teams for Go-Live
• Development of training materials as needed
• Provide regular updates to project team

 Qualifications:

• Education/Training: Bachelor’s Degree.
• Experience:
  • Minimum of 5-10 years of experience in IT experience working in the role of business and technical analyst with the focus on data, business intelligence, and analytics projects
  • Experience working in Biotech/Pharma (Regulated Industry)
  • Experience with developing requirements, design, and testing documents.
  • Hands-on experience with data analysis and reporting in support of Pharmaceutical GMP environment.
  • Understanding of GMP data sources across pharmaceutical manufacturing process and quality control testing environment sources such as Laboratory Management Information Systems, Quality Systems, Manufacturing Execution Systems, Data Historian, and other tools.
  • Experience with design and development and usage of data repository and analytics platforms
  • Demonstrated experience managing lifecycle documentation and validation in FDA-regulated environments.
  • Versed in FDA/Industry regulations and policies (Part 11, Computer System Validation)
  • Experience with system administration responsibilities
  • Experience with helping lead data analysis and engineering projects
  • Ability to work under tight timelines
  • Ability to communicate and work across teams in collaborative manner
  • Ability to work independently with minimal supervision

• Knowledge:
  • GxP, Pharmaceutical Manufacturing and Quality Data (GMP data), Data analysis and reporting
  • Understanding of data modeling tools
  • Experience working with analytics (Python, R, Excel, Tableau, Spotfire, other reporting and analytics for manufacturing process industries)
  • Experience with database (SQL) and ETL development
  • Experience with cloud environments (AWS, Azure)
  • Experience with usage of process analytic software is a plus (Aveva, Seeq).
• Skills:
  • System Support/System Administration, Communications, Project Management, Training, Computer System Validation, Business Requirements Documentation.
• Certifications/Licenses: None