Director, Biostatistics FSP

• 21 days ago

Cytel

Role overview

Qualifications

Strong statistical methodology
Scientific judgement
Strategic thinking
Effective cross-functional communication

Responsibilities

Provide strategic and technical statistical expertise
Support evidence generation across the product lifecycle
Translate clinical, observational, and real-world data into scientifically robust evidence
Address questions relevant to patients, clinicians, payers, and healthcare systems

Key facts

Remote from: United Kingdom, Switzerland, Germany, France, Europe, United States, European Union, EMEA
Full time
Expert & Leadership (>10 years)
Cinematographer
English

Hard skills

Other skills

Strategic Thinking
Communication

About the company

Cytel

Clinical Research (CRO)
Large
1,001–5,000

Cytel Inc., an advanced analytics leader with over thirty years of experience providing sophisticated quantitative insights to executive decision-makers in the lifesciences. Cytel employs a range of data science tools from biostatistics to machine learning to help executives in the life-sciences to make confident decisions powered by data. We are probably best known for being leaders in the field of adaptive clinical trial design, a subset of trial design that uses interim looks to enhance the patient safety and commercial value of pharmaceutical products. We also have specialists in Bayesian statistics, real world evidence, artificial intelligence, health economics, and a number of other research fields to ensure that academic and scientific findings can have impact on industry quickly and seamlessly. www.cytel.com

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Job description

Medical Affairs & HTA Statistician

Role Summary

The Medical Affairs & HTA Statistician will provide strategic and technical statistical expertise supporting evidence generation across the product lifecycle, with particular emphasis on Medical Affairs, real-world evidence, comparative effectiveness, and Health Technology Assessment.

The role will translate clinical, observational, and real-world data into scientifically robust evidence addressing questions relevant to patients, clinicians, payers, and healthcare systems. It requires a combination of strong statistical methodology, scientific judgement, strategic thinking, and effective cross-functional communication.