Lead Oncology Statistics – Hybrid & Impactful

GSK

Irvine

Hybrid

GBP 120,000 - 170,000

Full time

3 days ago
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Benefits offered by this job

Competitive salary
Annual bonus
Healthcare and wellbeing programs
Pension plan membership
Shares and savings program
Hybrid work model

Job summary

GSK is seeking an Associate Director in Oncology Statistics to lead statistical planning across clinical programs and contribute to development plans. You will collaborate with cross-functional teams to design robust trials, analyze results, and drive methodological innovation.

The role offers a hybrid working model to balance remote and in-office work. The ideal candidate will have an MSc or PhD in Statistics with significant post-graduate oncology experience, strong programming skills in

Qualifications

  • Advanced degree in Statistics, Biostatistics or related quantitative discipline (MSc or equivalent).
  • Proven track record contributing statistical expertise to clinical development.
  • Experience with simulations and statistical methods using R, Python or similar tools.

Responsibilities

  • Provide statistical leadership across Oncology projects and pipelines.
  • Lead statistical design and analysis for clinical programs across development phases.
  • Use Bayesian methods and simulations to inform trial design and risk assessment.
  • Mentor statisticians and contribute to regulatory submissions.

Skills

Bayesian methods
Simulation
Statistical design
Statistical programming

Education

MSc in Statistics
PhD in Statistics

Tools

R
Python

Job description

GSK is seeking an Associate Director in Oncology Statistics to lead statistical planning across clinical programs and contribute to development plans. You will collaborate with cross-functional teams to design robust trials, analyze results, and drive methodological innovation.

The role offers a hybrid working model to balance remote and in-office work. The ideal candidate will have an MSc or PhD in Statistics with significant post-graduate oncology experience, strong programming skills in

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