# Statistician - Oncology Clinical Development

**Company**: GSK
**Location**: Pennsylvania - Upper Providence
**Experience**: senior
**Job type**: full-time
**Salary**: $150,150 to $250,250
**Category**: Healthcare
**Industry**: Healthcare

**Apply**: https://gsk.wd5.myworkdayjobs.com/en-US/GSKCareers/job/USA---Pennsylvania---Upper-Providence/Statistics-Leader---Associate-Director--Oncology-Statistics_451355?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply
**Canonical**: https://yubhub.co/job/statistician-oncology-clinical-development-4a843be9-1ff/

## Description

GSK Oncology is committed to discovering and developing new therapies with the potential to change the lives of patients with cancer. The Oncology Clinical Development Statistics group is seeking exceptionally talented Statisticians to 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.

**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

**Basic Qualifications**

- PhD (preferred) or MS/MSc in Statistics (or related quantitative field) with at least 6 years post-degree experience for PhD holders, or equivalent experience for master’s holders,

- Three or more years of experience supporting Oncology Clinical development in pharmaceutical, biotech, or CRO settings.

- Three or more years of experience in the delivery of fit-for-purpose statistical solutions;

- Three or more years of experience coding in R and/or Python; working knowledge of SAS is a plus.

**Preferred Qualifications**

- Hands-on expertise in statistical modeling and innovative 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.

- 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

**Benefits**

- Health care and other insurance benefits (for employee and family)

- Retirement benefits

- Paid holidays

- Vacation

- Paid caregiver/parental and medical leave

- Annual bonus and eligibility to participate in share-based long-term incentive program

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## Skills

### Required
- Statistics
- Statistical Programming
- R
- Python
- SAS

### Nice to have
- Bayesian approaches
- statistical modeling
- causal inference
- AI/ML methods

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Source: [Apply at gsk.wd5.myworkdayjobs.com](https://gsk.wd5.myworkdayjobs.com/en-US/GSKCareers/job/USA---Pennsylvania---Upper-Providence/Statistics-Leader---Associate-Director--Oncology-Statistics_451355?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply)