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Principal Biostatistician

Edwards Lifesciences

Irvine, CAOnsitePosted 12 days ago$132,000 - $186,000/year
Full TimeSenior LevelBioinformatics & Data ScienceMedical Device
Original posting ↗

Summary

The Principal Biostatistician will focus on machine learning, AI agent development, and Python-based dashboards supporting clinical and real-world evidence applications. The role will apply causal inference methodologies to Phase 4 studies and registries and develop data-driven solutions for cross-functional clinical teams.

Job description

How you will make an impact:

  • Statistical lead on multiple clinical trials, lead the coordination of analyses for study report and other documents and provide programming and validation support of these analyses
  • Collaborate with core stakeholders to provide statistical expertise in support of multiple new product development (NPD) and/or regulatory submissions (e.g., PMA, CE Mark, PMDA) and other regulatory documents as needed
  • Represent Biostatistics on multiple project/study teams and coordinate/communicate with management and other team members regarding project/study status and timeline update
  • Research and recommend novel statistical methodology and/or approaches
  • Provide statistical expertise and guidance to internal and external stakeholders on ad hoc data analysis requests and publication/presentation efforts related to the project team
  • Compile technical documents for internal and external audits
  • Contribute to the improvement, standardization, and globalization of Biostatistics processes and procedures, including the development of Biostatistics Standard Operating Procedures (SOPs) and Work Instruction Manuals (WIMs)
  • Lead the efforts of data analysis for data monitoring committee as needed
  • Mentor Junior statisticians and work with management in resource allocation and budget/timeline development activities

What you'll need (Required):

  • Ph.D. or equivalent in Statistics, Biostatistics, or related field, 2 years' experience
  • Master's Degree or equivalent in Statistics, Biostatistics, or related field, 5 years' experience of previous analytical experience in clinical trials

What else we look for (Preferred):

  • Experience with machine learning and AI agent development
  • Experience developing machine learning dashboards
  • Advanced proficiency in Python
  • Proficiency in R and SAS
  • Deep familiarity with clinical data and/or real-world evidence (RWE)
  • Experience applying machine learning to clinical data
  • Expertise in causal inference methodologies for real-world evidence
  • Experience with survival analysis
  • Extensive understanding and knowledge in statistical methodologies related to clinical trial designs, statistical modeling and data analyses
  • Proven expertise in MS Office Suite including Word, PowerPoint, Access, and Excel
  • Excellent written and verbal communication skills and interpersonal relationship skills including negotiating and relationship management skills
  • Keeps abreast of new developments in statistics and regulatory guidance
  • Extensive understanding and knowledge of regulatory guidelines (e.g., GCP, ICH, FDA, ISO) relevant to in Pharmaceutical/Medical Device research setting
  • Excellent problem-solving, organizational, analytical and critical thinking skills
  • Strong leadership skills and ability to influence change
  • Ability to provide training and coaching to lower level employees
  • Experience in facilitating change, including collaboration with management and executive stakeholders

Requirements

  • Ph.D. or equivalent in Statistics, Biostatistics, or related field with 2 years' experience
  • Master's Degree or equivalent in Statistics, Biostatistics, or related field with 5 years' analytical experience in clinical trials
  • Proficiency in statistical methodologies related to clinical trial designs, statistical modeling and data analyses
  • Knowledge of regulatory guidelines (e.g., GCP, ICH, FDA, ISO)
  • Proficiency in Python, R, and SAS
  • Experience with machine learning and AI agent development
  • Experience developing machine learning dashboards
  • Deep familiarity with clinical data and/or real-world evidence (RWE)
  • Expertise in causal inference methodologies for real-world evidence
  • Experience with survival analysis
  • Excellent written and verbal communication skills
  • Strong leadership skills and ability to influence change

Benefits

  • Competitive Salaries
  • Performance-Based Incentives
  • Comprehensive Benefits Programs

Company overview

Edwards Lifesciences (NYSE: EW) is the leading global structural heart innovation company, driven by a passion to improve patient lives. Founded in 1958 and headquartered in Irvine, California, the company specializes in developing breakthrough technologies for cardiovascular diseases. As a pioneer in the medical device industry, Edwards focuses on transcatheter heart valves, surgical heart valves, hemodynamic monitoring systems, and vascular solutions. The company's patient-focused culture inspires its 16,000+ employees worldwide to deliver life-changing innovations that address complex heart health challenges. Edwards serves patients in over 100 countries through its comprehensive portfolio of products including the SAPIEN transcatheter heart valve system, INSPIRIS surgical valves, and advanced monitoring technologies. With a commitment to research and development, the company invests 17-18% of its revenue back into R&D efforts, maintaining its position at the forefront of structural heart innovation. Edwards Lifesciences has impacted over one million patients globally through its transformative medical technologies.

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