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.
ResponsibilitiesKey Responsibilities
- Provide statistical leadership for Medical Affairs and HTA evidence-generation activities.
- Support development of evidence strategies addressing clinical, patient, payer, and healthcare-system questions.
- Design and analyse observational and real-world evidence studies.
- Apply epidemiological and statistical methodologies to real-world and clinical data.
- Conduct comparative-effectiveness assessments and indirect treatment comparisons.
- Support synthetic-control approaches, Phase IV studies, and other post-approval evidence-generation activities.
- Apply appropriate HTA/HEOR methodologies and contribute statistical expertise to evidence packages supporting access and reimbursement decisions.
- Assess data relevance and quality, quantify and communicate uncertainty, and strengthen the methodological credibility of HTA submissions and scientific discussions.
- Interpret clinical and observational evidence and translate complex analyses into clear scientific conclusions.
- Support publications, congress activities, and other scientific communications where required.
- Apply modern analytical methods, including machine learning, where scientifically appropriate.
- Collaborate with Development Statistics, Epidemiology, Real-World Evidence teams, Medical functions, and external scientific partners.
- Communicate statistical concepts and findings effectively to cross-functional and external stakeholders.
Qualifications
Qualifications & Experience
- Senior-level statistical/biostatistical experience within the pharmaceutical or healthcare environment.
- Demonstrated experience delivering Medical Affairs and/or HTA statistical work packages.
- Broad methodological expertise spanning clinical, observational, and real-world data.
- Strong experience in one or more of: RWE, epidemiological research, comparative effectiveness, indirect treatment comparisons, synthetic controls, HTA/HEOR, or Phase IV research.
- Strong understanding of evidence-generation strategies across the pharmaceutical product lifecycle.
- Ability to assess data quality, methodological limitations, bias, uncertainty, and applicability of evidence.
- Experience communicating statistical findings in publications, scientific discussions, and/or evidence packages.
- Strong scientific judgement, strategic thinking, and stakeholder-management skills.
- Ability to collaborate across multidisciplinary and geographically distributed teams.
Skills Required
- Senior-level statistical or biostatistical experience within a pharmaceutical or healthcare environment
- Experience delivering Medical Affairs and/or HTA statistical work packages
- Broad methodological expertise spanning clinical, observational, and real-world data
- Experience in real-world evidence, epidemiological research, comparative effectiveness, indirect treatment comparisons, synthetic controls, HTA/HEOR, or Phase IV research
- Strong understanding of evidence-generation strategies across the pharmaceutical product lifecycle
- Ability to assess data quality, methodological limitations, bias, uncertainty, and evidence applicability
- Experience communicating statistical findings in publications, scientific discussions, or evidence packages
- Strong scientific judgment, strategic thinking, and stakeholder-management skills
- Ability to collaborate across multidisciplinary and geographically distributed teams
Cytel Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Cytel and has not been reviewed or approved by Cytel.
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Healthcare Strength — Health coverage is described as comprehensive, spanning medical, dental, vision, life and disability, with FSAs/HSAs also available. Plan quality is often characterized as good to excellent, which lifts the perceived value of the overall package.
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Retirement Support — A 401(k) with employer match is consistently part of the benefits package. The plan is also characterized as well managed, contributing to a sense of baseline retirement support.
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Fair & Transparent Compensation — Overall pay is characterized as decent-to-good and broadly competitive in parts of the business, with stronger alignment noted in senior technical tracks like biostatistics and programming. The total package is often framed as respectable rather than premium.
Cytel Insights
What We Do
Cytel enables decision-makers in the life sciences to unlock the full potential of their products. From navigating uncertainty to proving value, Cytel’s 30 years of global expertise in consulting, data-driven analytics, and industry-leading software helps biotech and pharmaceutical companies transform intelligence into confident decisions. We have an uncompromising commitment to scientific rigor and high standards of operational excellence, which are channeled through our locations in North America, Europe, the United Kingdom, and Asia. Together, we enable our clients to deliver the therapies that propel humanity forward. 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
