Statistical Programmer II

About the role

The Statistical Programming team at LivaNova develops datasets from clinical trials and delivers tables, listings, and figures (TLFs) to support new products and therapies, as well as generate evidence for marketed devices. They also support additional programming activities for clinical operations and other areas of the company.

Responsibilities

• Support programming activities for multiple projects on clinical study reports and publications.
• Accountable for clinical statistical programming deliverables and ensure excellence in programming activities in terms of quality and timelines for clinical trials.
• Collaborate with Statistics, Data Management, Clinical, and vendor teams to clarify requirements and resolve data or programming issues.
• Develop, validate, and maintain SAS programs in accordance with study requirements, internal standards, and SOPs.
• Contribute to the creation, validation, and documentation of SDTM and ADaM datasets.
• Ensure deliverables meet expectations in terms of timelines and quality, regulatory and key user group requirements (e.g., CDISC), operational efficiency, and alignment with the study's clinical and statistical objectives.
• Provide input into SAP, analysis specifications, and data presentations for clinical trials.
• Support ongoing workflow modernization, migration activities, and standardization initiatives.
• Participate in process improvement activities related to programming efficiency, quality, and standardization.

Requirements

• Bachelor’s degree or higher in statistics, mathematics, computer science, life sciences, data science, or related field.
• Relevant experience in clinical trial programming, clinical data analysis, statistical programming, or regulated data environments.
• Strong SAS programming skills, including data step, procedures, macros, and debugging.
• Ability to write clear, validated, reusable, and well-documented code.
• Understanding of programming quality control, validation, and traceability expectations.
• Working knowledge of CDISC standards, especially SDTM and ADaM.
• Experience with R, Python, SQL, Git, or other modern programming/version control tools (desired).
• Experience with SAS Enterprise Guide or other SAS-based clinical programming environments (desired).
• Familiarity with data visualization, dashboards, automation, or workflow improvement (desired).
• Experience working with vendors or cross-functional global teams (desired).
• Understanding of controlled programming environments, SOPs, and audit-ready documentation (desired).

Qualifications

• Strong attention to detail and quality.
• Ability to work independently on assigned tasks with appropriate guidance.
• Good communication skills and ability to collaborate with Statistics, Data Management, Clinical, and external vendors.

Skills

• SAS programming skills.
• CDISC standards, especially SDTM and ADaM.
• Data visualization, dashboards, automation, or workflow improvement.
• Experience working with vendors or cross-functional global teams.
• Understanding of controlled programming environments, SOPs, and audit-ready documentation.

Benefits

Includes Health benefits – Medical, Dental, Vision
Personal and Vacation Time
Retirement & Savings Plan (401K)
Employee Stock Purchase Plan
Training & Education Assistance
Bonus Referral Program
Service Awards
Employee Recognition Program
Flexible Work Schedules