Statistics Leader / Associate Director of Statistics at GSK | GB | Rezi

Statistics Leader / Associate Director of Statistics at GSK

Statistics Leader / Associate Director of Statistics

GSK · GB

4 days ago

Statistics Leader / Associate Director of Statistics

GSK · GB

4 days ago
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About the Role

Provide end-to-end statistical leadership across oncology evidence generation, from early development through registration and lifecycle support, using innovative trial designs and modern statistical methods to inform key development decisions.

Responsibilities

  • Provide statistical leadership for oncology studies/indications, partnering with project and study teams to align strategy and execution.
  • Lead statistical strategy for study design, analysis, reporting, and interpretation, applying fit-for-purpose methods to quantify uncertainty and inform decisions.
  • Author/review statistical sections of protocols, SAPs, clinical/regulatory documents, and presentations; communicate complex results clearly to non-statistical stakeholders.
  • Ensure high-quality, on-time deliverables and effective stakeholder management in a matrix environment.
  • Drive innovation in statistical methodology and data strategy, including appropriate use of external/real-world data to strengthen oncology evidence generation.
  • Build deep indication knowledge and influence asset strategy and regulatory submissions with rigorous statistical insight.
  • Represent Oncology Biostatistics externally as appropriate and may serve as project statistician for an oncology asset.

Requirements

  • PhD in Statistics or a related quantitative field with at least 3 years post-degree experience or MS/MSc in Statistics (or related quantitative field) with 5+ years of clinical development experience.
  • Experience supporting clinical development in pharmaceutical, biotech, or CRO settings.
  • Experience delivering fit-for-purpose statistical solutions and supporting study design and readouts.
  • Experience with R and/or Python.

Skills

  • Continuing Learning
  • Influencing Without Authority
  • Leadership
  • Problem Solving
  • Statistical Methods
  • Statistical Programming
  • SAS
  • Statistical modeling
  • Innovative methods (e.g., Bayesian approaches)
  • Causal inference
  • AI/ML methods
  • Communication
  • Stakeholder management

Location

  • Stevenage, UK
  • Cambridge, UK

Work Type

  • Full-time

Experience Level

  • 3+ years post-degree experience (PhD)
  • 5+ years clinical development experience (MS/MSc)

Education Level

  • PhD in Statistics or a related quantitative field
  • MS/MSc in Statistics or a related quantitative field

Salary/Compensations

  • $150,150 to $250,250 (US)
  • PLN 326,250 to PLN 543,750 (Poland)

Benefits

  • Annual bonus
  • Eligibility to participate in share-based long term incentive program
  • Health care and other insurance benefits (for employee and family)
  • Retirement benefits
  • Paid holidays
  • Vacation
  • Paid caregiver/parental and medical leave

About the Company

  • GSK Oncology is committed to discovering and developing new therapies with the potential to change the lives of patients with cancer.
  • GSK is a global biopharma company with a purpose to unite science, technology and talent to get ahead of disease together.
  • We aim to positively impact the health of 2.5 billion people by the end of the decade, as a successful, growing company where people can thrive.
  • We get ahead of disease by preventing and treating it with innovation in specialty medicines and vaccines.
  • We focus on four therapeutic areas: respiratory, immunology and inflammation; oncology; HIV; and infectious diseases – to impact health at scale.
  • Our culture of being ambitious for patients, accountable for impact and doing the right thing is the foundation for how, together, we deliver for patients, shareholders and our people.

Equal Opportunity

  • GSK is an Equal Opportunity Employer. This ensures that all qualified applicants will receive equal consideration for employment without regard to race, color, religion, sex (including pregnancy, gender identity, and sexual orientation), parental status, national origin, age, disability, genetic information (including family medical history), military service or any basis prohibited under federal, state or local law.