Principal Biostatistician, Translational Medicine & Oncology

Cytel; Abla; On-site; EUR 90,000 - 120,000; Full time

Job summary

Cytel is seeking a Principal Biostatistician to lead statistical support for early development oncology programs across our client region. You will design SAPs, oversee analyses, and collaborate with data science, clinical teams and vendors to deliver robust, actionable insights.

You will apply advanced methods, biomarker analyses and translational work to inform drug development decisions, mentor teammates, and ensure regulatory-grade deliverables while maintaining scientific leadership and

Qualifications

• Advanced degree in statistics or biostatistics.
• Experience in pharmaceutical research or drug development.
• Strong programming in R/SAS/Python.
• Experience with translational medicine and oncology studies.

Responsibilities

• Provide statistical expertise for translational medicine and translational clinical oncology projects across various stages of drug development.
• Develop statistical analysis plans (SAPs), analysis specifications, and statistical methodologies for translational research and clinical oncology studies.
• Design and analyze biomarker-driven studies, including exploratory, predictive, prognostic, pharmacodynamic, and pharmacogenomic analyses.
• Support early-phase oncology clinical trials, including Phase I and Phase II studies, dose-escalation and dose-expansion cohorts.
• Perform statistical analyses of clinical, molecular, genomic, proteomic, and other translational datasets.
• Collaborate with clinical and translational scientists to identify relevant endpoints, define analysis populations, and establish appropriate statistical approaches.
• Apply statistical methods to investigate relationships between biomarkers, treatment response, safety, efficacy, and clinical outcomes.
• Support the integration and interpretation of clinical data with translational research findings to inform drug development decisions.
• Contribute to the development and review of SAPs, study protocols, data review plans, and clinical study documentation.
• Conduct exploratory data analysis, hypothesis testing, regression modeling, survival analysis, and other relevant statistical analyses.
• Support patient stratification, subgroup analyses, enrichment strategies, and precision medicine approaches in oncology development programs.
• Interpret statistical results and communicate findings through technical reports, presentations, data visualizations, and scientific publications.
• Ensure statistical deliverables meet applicable quality standards, study requirements, and relevant regulatory and industry guidelines.
• Work closely with biostatistics, clinical data management, bioinformatics, biomarker, and programming teams to ensure data quality and consistency of analytical outputs.
• Contribute to scientific discussions, study design reviews, and cross-functional decision-making throughout the clinical development lifecycle.

Education

Master's or Ph.D. in Statistics, Biostatistics, or a related quantitative discipline

Tools

R

SAS

Python

Job description

Cytel is seeking a Principal Biostatistician to lead statistical support for early development oncology programs across our client region. You will design SAPs, oversee analyses, and collaborate with data science, clinical teams and vendors to deliver robust, actionable insights.

You will apply advanced methods, biomarker analyses and translational work to inform drug development decisions, mentor teammates, and ensure regulatory-grade deliverables while maintaining scientific leadership and