Senior Biostatistician

Join us today and make a difference in people's lives!
 

LivaNova is a global medical technology company built on nearly five decades of experience and a relentless commitment to improving the lives of patients around the world. Our advanced technologies and breakthrough treatments provide meaningful solutions for the benefit of patients, healthcare professionals, and healthcare systems.  The company is listed on the NASDAQ stock exchange under the ticker symbol “ LIVN .”  LivaNova is headquartered in London (UK) with a presence in over 100 countries and a team of more than 3,000 employees worldwide.

The Senior Biostatistician will Provide statistical support for clinical trials including study design and authoring statistical analysis plans. Be an integral member of team of scientists and medical experts to plan and provide evidence for key product development activities.

Job Duties

• Develop and execute activities for clinical trials for medical devices by providing: 

  • Efficient clinical trial design and sample size calculations through Clinical Study Synopsis and CIP

  • Simulation programs to assess trial operating characteristics

  • Input in effective data collection and derivation

  • Thorough randomization plan and list

  • Accurate, clear and detailed statistical analysis plan (SAP) with the most appropriate methodology and data presentation

  • Support blind data review process and unblinding process

  • Provide programming instructions to statistical programmers, check and approve statistical programming deliverables

  • Communicate, discuss and interpret (top-line) data and statistical results, including co-development of the clinical study report (CSR)

• Collaborate with internal and external partners on research areas and publications

• Lead statistical development of real-world data plans and meta-analyses

• Develop and implement procedures and best practice documents to standardize valid statistical approaches for common business needs

• Review new statistical methods for application to existing processes

• Appropriate management and surveillance of external suppliers for outsourced statistical services

• Ensure that all activities under responsibility are properly documented (traceability of changes, data specifications, analysis validation) according to internal procedures

• Contribute to project management plans and ensure that deadlines are met

• Develop, apply and maintain computer programs for data analysis, e.g. SAS and R

• Communicate routine and complex statistical concepts and results to non-statistical internal and external colleagues in a clear, concise and articulate manner

• Apply personal experience, research, input from colleagues, and critical thinking to challenge data analysis results originating from other individuals or yourself

• Perform other tasks as per line management discretion

Education

• MSc degree (PhD preferred)

Minimum Requirements

• MSc degree

• 6+ years experience in medical device, pharmaceutical and/or life science industry

• Sustained record of performance in previous position and a track record of implementing improvements

• Able to understand and to implement statistical methods in the activities under responsibilities

• Knowledge of statistical computer programs (e.g., R, SAS, nQuery, PASS, etc.)

Pay Transparency

• A reasonable estimate of the annual base salary for this position is $110,000 - $150,000 + discretionary annual bonus. Pay ranges may vary by location.

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

Valuing different backgrounds:

LivaNova values equality and diversity. We are committed to ensuring that our recruitment process is fair, transparent and free from unlawful discrimination. Our selection process is driven by the key demands/requirements for the role rather than bias or discrimination on the basis of a candidate’s sex, g