Statistics Director, Oncology

At GSK, we have bold ambitions for patients, aiming to positively impact the health of 2.5 billion people by the end of the decade. GSK Oncology has a commitment to the discovery and development of new oncology therapies with the life-changing potential of helping patients with cancer. GSK fosters a culture ambitious for patients, accountable for impact, and committed to doing the right thing, making sure that we focus our efforts on accelerating significant assets that meet patients’ needs and have the highest probability of success.

We need exceptionally talented and committed Statisticians like you to apply your statistical skills and innovative statistical methodology to drive key contributions in the clinical development of new medicines in the fight against cancer.

Key Responsibilities:

The responsibilities listed below outline the scope of the position. The application of these tasks may vary, based upon evolving business needs.

• Lead statistical strategy for one or more key Oncology programs across phases of clinical development and lifecycle activities, ensuring alignment with business objectives and scientific rigor.
• Act as the statistical lead in cross-functional project teams and in interactions with regulatory authorities.
• Design robust clinical trials and observational analyses and approve analysis plans and final statistical reporting.
• Provide technical leadership, mentoring and development for statisticians and statistical programmers.
• Drive improvements in statistical methods, standards, and governance for immunology projects.
• Champion innovation by introducing cutting-edge approaches that enhance project outcomes. Collaborate with other statistical leaders within the company to drive a culture of innovation and continuous learning.

Why you?

Basic Qualifications:

• Master’s degree in Statistics, Biostatistics or related field with relevant industry experience and a proven track record of innovation and strategic influence.
• Prior experience in Oncology
• Experience with advanced methodologies such as Bayesian approaches, longitudinal modelling, causal inference or machine learning.
• Demonstrated leadership in a matrix environment, influencing senior stakeholders and cross-functional teams.
• Experience leading statistical activities from protocol design through final analysis and dissemination.
• Proven experience with regulatory interactions and preparation of statistical sections for submissions.
• Strong written and verbal communication skills, able to explain statistical concepts to diverse audiences.

Preferred Qualifications:

• PhD in Statistics, Biostatistics or related field with relevant industry experience and a proven track record of innovation and strategic influence

Closing date for applications is Tuesday 19th May

Why GSK?

Uniting science, technology and talent to get ahead of disease together.

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.

People and patients around the world count on the medicines and vaccines we make, so we’re committed to creating an environment where our people can thrive and focus on what matters most. 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.

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.

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