Lead Oncology Statistics & Trial Design

GSK; Camden Town; On-site; GBP 90,000 - 120,000; Full time

Job summary

GSK is seeking a Statistics Leader to guide statistical planning and delivery across oncology clinical programs. You will design robust trials, mentor statisticians, and collaborate with clinical, regulatory and pharmacology teams to shape development and regulatory strategy.

The role emphasizes methodological innovation, communication of complex statistical concepts, and leading multiple projects across development phases, with experience in Bayesian methods and adaptive designs highly valued.

Qualifications

• PhD in Statistics, Biostatistics or closely related field with significant post-graduate experience, ideally in oncology.
• Strong experience in statistical design and analysis for clinical development.
• Proven ability to communicate complex statistical concepts to cross-functional teams.

Responsibilities

• Provide statistical support to projects across Oncology pipeline.
• Review/assist with statistical analysis plans, protocols and regulatory submissions.
• Collaborate with cross-functional teams to translate statistical insights into program strategy.
• Mentor statisticians to build capability and quality.
• Oversee statistical design, analyses and interpretation for clinical programs across development phases.
• Utilize simulations and advanced statistics to inform trial design and risk assessment.

Skills

Statistical design

Statistical analysis

Regulatory submissions

Cross-functional collaboration

Mentoring

Communication of statistics

Clinical trial designs

Simulations

Statistical programming

Time management

Education

PhD in Statistics/ Biostatistics or related field

Tools

R

Python

High-performance computing environments

Job description

GSK is seeking a Statistics Leader to guide statistical planning and delivery across oncology clinical programs. You will design robust trials, mentor statisticians, and collaborate with clinical, regulatory and pharmacology teams to shape development and regulatory strategy.

The role emphasizes methodological innovation, communication of complex statistical concepts, and leading multiple projects across development phases, with experience in Bayesian methods and adaptive designs highly valued.