Senior Principal Statistician, Biostatistics

Jazz Pharmaceuticals; Dublin; Remote; EUR 120.000 - 180.000; Vollzeit

Zusammenfassung

Jazz Pharmaceuticals is seeking a Senior Principal Statistician to lead statistical aspects of Phase I–IV clinical studies and regulatory filings. You will design analyses, validate results, and partner with cross‑functional teams to ensure robust statistical strategy and high-quality documentation.

Remote work options are available, with emphasis on collaboration and regulatory readiness. The role requires advanced degrees in statistics with substantial pharma/biotech experience, strong SAS and

Qualifikationen

• MS or MPH in statistics or related field with >4 years in pharma/biotech.
• PhD in statistics or related field with >2 years in pharma/biotech.
• Knowledge of drug development regulations pertaining to statistics.
• Experience with Bayesian/adaptive design preferred.
• Excellent writing and communication skills; leadership abilities.

Aufgaben

• Lead statistical design and analysis for studies and integrated summaries.
• Prepare and review statistical analysis plans and validation activities.
• Develop statistical strategy and analyses for regulatory filings.
• Collaborate with cross-functional teams and external vendors.
• Respond to regulatory questions and participate in agency meetings.
• Ensure timely, high-quality statistical deliverables across trials.

Kenntnisse

Statistical design and analysis

SAS

R programming

Regulatory knowledge

Communication skills

Time management

Team collaboration

Leadership

Ausbildung

MS or MPH in statistics or related

PhD in statistics or related (preferred)

Tools

CDISC standards

Jobbeschreibung

Brief Description:

The Senior Principal Statistician, Biostatistics will be a lead statistician on individual studies, across related studies, and for integrated summaries and will design and report Phase I to IV clinical studies and regulatory filings under the supervision of a more senior statistician. This role is responsible for all statistical aspects of study design, study analysis and validation, and study documentation. The Senior Principal Statistician will provide timely and scientifically sound statistical expertise to clinical development projects and develop and execute statistical strategy, design, and analyses for clinical trials. This position will work collaboratively with clinical development, pharmacology, pharmacovigilance, clinical drug supply, project management, regulatory affairs, medical writing, clinical data management, and clinical operations. The Senior Principal Statistician will manage work done by statistics and programming external vendors.

Essential Functions/Responsibilities

• Participate in department and cross-functional meetings to optimize clinical study designs, endpoints, and analysis strategies in protocols.
• Collaborate with cross-functional team members to meet study any recurring report timelines.
• Support the development and implementation of study protocols.
• Review and provide input to data capture systems and participate in their validation.
• Develop statistical programs as necessary to simulate clinical trial design operating characteristics, perform analysis, prepare data displays, verify data accuracy and validity of analyses performed by statistical programming.
• Write statistical analysis plans, review statistical analysis plans written by other statisticians, perform and oversee data analysis and validation, and interpret analyses.
• Prepare for and attend meetings with regulatory agencies.
• Work with biostatistics compound/therapeutic area lead, peer management, and employees to develop, implement, and maintain department standards and practices.
• Review timelines and analysis plans for CRO work to ensure timeliness and quality deliveries.
• Review and validate CRO deliverables.
• Act as the statistical subject matter expert with medical writers and other colleagues in the production of clinical reports, integrated summaries, and other documents.
• Respond to statistical questions from regulatory agencies.

Required Knowledge, Skills, and Abilities

• Knowledge of clinical trial design and analysis, including experience with complex statistical methods and models, including statistical principles and methodology and principles of statistical inference, including hypothesis testing and deriving estimates, parametric and non‑parametric models and techniques, principles of sample size calculations for comparing two arms, principles of design of experiments in introducing conditions designed to affect an outcome of interest, and phase II‑IV clinical trial data analysis.
• Experience in using SAS and R; knowledge of other statistical applications and programming languages a plus.
• Knowledge of applicable regulatory requirements and guidelines, e.g., ICH Guidelines and drug development regulatory requirements as they relate to statistics, including statistical contributions to marketing applications and CDISC standards.
• Able to work in a fast‑paced, flexible, team‑oriented environment.
• Possess excellent interpersonal and communication skills (written and verbal).
• Strong attention to detail with a view to bring studies to a quality conclusion.
• Flexible, positive, creative thinker, good communicator.
• Work without close supervision. Well‑developed time management skills are important.

Required/Preferred Education and Licenses

• MS or MPH in statistics, mathematics, or a related discipline with a statistical focus and > 4 years of experience in pharmaceutical or biotechnology industry.
• PhD in statistics, mathematics, or a related discipline with a statistical focus and > 2 years of experience in the pharmaceutical or biotechnology industry.
• Knowledge of drug development regulations pertinent to statistical analysis.
• Knowledge of the oncology or hematology therapeutic area is preferred
• Bayesian and adaptive design experience is preferred. Experience working in Phase I/II Oncology studies and Phase I healthy volunteer/clinical pharmacology studies for Neuroscience preferred.
• Proficient SAS & R programming skills, solid understanding of CDISC models and standards.
• Excellent writing and communication skills demonstrated leadership abilities and excellent interpersonal skills.

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