Statistical Programmer II

LivaNova

Boston (MA)

On-site

USD 90,000 - 100,000

Full time

14 days+

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Benefits offered by this job

Health benefits – Medical, Dental, Vision
Retirement & Savings Plan (401K)
Employee Stock Purchase Plan
Flexible Work Schedules

Job summary

LivaNova, based in Boston, seeks a Statistical Programmer to enhance clinical study initiatives. This role involves developing SAS programs, ensuring data integrity, and collaborating on study specifications.

The ideal candidate holds a Bachelor’s degree in a relevant field, possesses strong SAS programming skills, and focuses on quality and timeline adherence. Competitive salary and robust benefits await.

Qualifications

  • Bachelor’s degree or higher in statistics, mathematics, or related field.
  • Relevant experience in clinical trial programming or regulated data environments.
  • Strong SAS programming skills including data steps, procedures, and macros.

Responsibilities

  • Support programming activities for clinical study reports and publications.
  • Develop, validate, and maintain SAS programs as per study requirements.
  • Ensure programming deliverables meet quality and regulatory requirements.

Skills

SAS programming skills
Data analysis
Communication skills
Attention to detail
Programming quality control

Education

Bachelor’s degree in relevant field

Tools

R
Python
SQL
Git

Job description

As a global medtech company, we are driven by our Vision of changing the trajectory of lives for a new day and our Mission to create ingenious solutions that ignite patient turnarounds. Our relentless commitment to patients and strong legacy of innovation in healthcare are the foundation of our future. If you're looking for a new chance, a new beginning, a new trajectory, LivaNova is where your talent can truly thrive. Join our talented team members worldwide to become a pioneer of tomorrow—because at LivaNova, we don’t just treat conditions — we aspire to alter the course of lives.

Come join a great company and be part of a dynamic, growing team of programmers. Put your expertise to great use as we improve our programming standards and processes to develop best‑in‑class programming outputs. The statistical programming team develops datasets from our clinical trials and delivers tables, listings, and figures (TLFs) per Statistical Analysis Plans (SAPs) to support new products and therapies, as well as to generate evidence for marketed devices. This talented team also supports additional programming activities for clinical operations and other areas of the company, including R&D and Quality.

The Role
  • The Statistical Programmer will support programming activities for multiple projects on clinical study reports and publications.
  • Accountable for clinical statistical programming deliverables and for ensuring excellence in programming activities in terms of quality and timelines for clinical trials under the responsibility of Statistics & Data Management.
  • 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.
  • Responsible for producing programming outputs, validation, and related documentation to ensure accuracy, consistency, and traceability.
  • 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.
Minimum 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.
  • Ability to support dataset creation, validation, listings, tables, figures, and ad hoc analyses.
  • Understanding of clinical trial data flow from data collection to analysis/reporting.
  • 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.
  • Ability to manage priorities and timelines in a changing project environment.
Desired Qualifications
  • Experience with R, Python, SQL, Git, or other modern programming/version control tools.
  • Experience with SAS Enterprise Guide or other SAS-based clinical programming environments.
  • Experience supporting medical device, neuromodulation, or cardiovascular/respiratory studies.
  • Familiarity with 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.
Pay Transparency
  • A reasonable estimate of the annual base salary for this position is $90,000 - $100,000 plus discretionary annual bonus. Pay ranges may vary by location and are awarded based on experience.
Employee Benefits Include
  • 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

Welcome to impact. Welcome to innovation. Welcome to your new life.

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