# Statistics Director

**Company**: GSK
**Location**: London
**Work arrangement**: hybrid
**Experience**: senior
**Job type**: full-time
**Salary**: $174,900 to $291,500
**Category**: Data Science
**Industry**: Healthcare

**Apply**: https://gsk.wd5.myworkdayjobs.com/en-US/GSKCareers/job/UK---London/Statistics-Director--Oncology_451353?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply
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## Description

GSK Oncology is seeking a Statistics Director to provide end-to-end statistical leadership across oncology evidence generation.

You will lead statistical planning and delivery across clinical programs and lead clinical developments plans within oncology.

Responsibilities:

- Represent Oncology Biostatistics externally and serve as project statistician for an oncology asset

- Lead statistical assessment in business development opportunities

- Lead statistical strategy for study design, analysis, reporting, and interpretation

- Represent GSK-Oncology Biostatistics at scientific meetings and presentations

- Influence planning and decision-making strategy over assets through building and maintaining effective business relationships with key functions

- Contribute to and influence the strategic direction of the asset development and regulatory submission via rigorous and robust statistical knowledge

- Ensure state-of-the-art expertise on key methodological aspects of drug development in statistics

Requirements:

- MS/MSc in Statistics (or related quantitative field) with at least 8+ years post-degree experience

- Experience preparing regulatory documents and interacting with regulators

- Solid tumor Oncology experience required

- Experience supporting Oncology Clinical development in pharmaceutical, biotech, or CRO settings

- Demonstrated delivery of fit-for-purpose statistical solutions

- Proficiency in R and/or Python; working knowledge of SAS is a plus

- Strong communication and stakeholder-management skills, with demonstrated ability to influence across functions in a matrix environment

- Highly organized, self-directed, and able to manage multiple priorities across projects

Preferred Qualifications:

- PhD preferred with minimum of 8+ years post-degree experience

- Lung/NSCLC experience strongly preferred

- Hands-on expertise in statistical modeling and innovative design and methods (e.g., Bayesian approaches)

- Thorough knowledge of the drug development process including late-phase development, registration activities, and oncology regulatory expectations

- Familiarity with causal inference and/or AI/ML methods, and interest in applying these approaches (when appropriate) to clinical and/or real-world data

- Demonstrated ability to lead or make major contributions to department, organizational and/or industry-wide initiatives, through effective communication and influence

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## Skills

### Required
- Statistics
- Statistical Methods
- Statistical Programming
- R
- Python
- SAS
- Communication
- Stakeholder Management
- Leadership

### Nice to have
- Bayesian approaches
- Statistical Modeling
- Causal Inference
- AI/ML methods
- Lung/NSCLC experience

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