As a Biostatistician, your responsibilities will include:
- Providing statistical support to early phase clinical studies (phase I and IIa)
- Working with one or more experienced Biostatisticians, you will support different aspects of clinical trials processes (e.g. study design related contributions, analysis planning, reporting, QC, review of documentation) as required
- Performing statistical analyses using R, SAS or other tools as appropriate, and interpreting statistical results
- Conducting exploratory analyses (e.g. Biomarker) as per the sponsor side's requests
- Ensuring correctness and high quality of own deliverables
- Effectively communicating with the sponsor side, including clarification of requirements, reporting progress, helping others understand the statistical approach used and interpret the results
Here at Cytel we want our employees to succeed and we enable this success through consistent training, development and support. To be successful in this position you will have:
- Master’s degree in statistics or a related discipline. Ph.D. is a plus.
- Experience working in the Pharmaceutical or Biotechnology industry.
- Experience in sample size calculation, protocol concept development, protocol development, SAP desired.
- Good SAS programming skills for QCing critical outputs, Efficacy/Safety tables, and working closely with Programmers. Knowledge of R programming is highly desirable.
- Solid understanding & implementation of CDISC requirements for regulatory submissions.
- The ability to communicate effectively both internally and externally.
- Effective communicator: able to explain methodology and consequences of decisions in lay terms.
Skills Required
- Master’s degree in statistics or a related discipline
- Experience working in the pharmaceutical or biotechnology industry
- Experience with sample size calculation, protocol concept development, protocol development, and Statistical Analysis Plans
- Good SAS programming skills for quality control of critical outputs and efficacy and safety tables
- Knowledge of R programming
- Solid understanding and implementation of CDISC requirements for regulatory submissions
- Effective internal and external communication skills
- Ability to explain statistical methodology and decision consequences in lay terms
- Ph.D. in statistics or a related discipline
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
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