Statistics Leader

GSK; City Of London; On-site; GBP 45,000 - 70,000; Full time

Job summary

A global biopharma company is seeking a talented Statistician to join its team in London. You will leverage your statistical expertise to support the development of new medicines in oncology. Responsibilities include providing statistical insights, authoring analysis plans, and employing innovative methodologies. The ideal candidate holds an MS in Statistics, has experience in the pharmaceutical industry, and proficiency in statistical software like R or SAS.

Qualifications

• Experience working as a Statistician in the Pharmaceutical Industry.
• Experience implementing innovative methods by simulation using R, SAS or other software.
• A PhD in Statistics or closely related field is a plus.

Responsibilities

• Provide statistical support to Project and Study Statisticians.
• Author statistical analysis plans and prepare statistical inputs to documents.
• Identify and develop novel statistical methodologies.

Skills

Statistical expertise

Innovative methodologies

Strong communication skills

Time management skills

Education

MS in Statistics or related discipline

Tools

R

SAS

Job description

Join our industry-leading Statistics team, dedicated to embedding high-quality quantitative reasoning at the heart of every project in our portfolio. At GSK, statisticians are essential in maximizing the use of all available data points to efficiently develop translational strategies that underpin our comprehensive clinical development plans.

The Oncology Clinical Development Statistics group is seeking exceptionally talented and dedicated Statisticians. In this role, you will apply your statistical expertise and innovative methodologies to make key contributions to the development of new medicines in the Oncology field. You will provide statistical and strategic insights into clinical development plans and the design of end-to-end development strategies, from early first‑in‑human trials to late‑phase drug development. Our team is committed to utilizing novel clinical trial designs and innovative statistical methods, including Bayesian techniques, to assess risk as well as probability of success for both studies and overall programs to enable informed decision‑making.

Key Responsibilities

• Provide required statistical support to Project and Study Statisticians across the oncology team.
• Provide statistical input to the design, analysis, reporting and interpretation of clinical studies using a wide range of statistical approaches and/or applicable software (e.g. simulation, Bayesian methods, interim analysis strategies).
• Author statistical analysis plans and prepare statistical input to key documents (including protocol) and presentation material.
• Apply standard processes to tasks to ensure that deliverables are accurate, high quality and meet agreed timelines.
• Build and maintain effective strategic working relationships with internal and external partners to meet business needs.
• Identify, develop, and implement novel statistical methodologies in support of medicines development.

Why you?

Basic Qualifications

We are looking for professionals with these required skills to achieve our goals:

• MS in Statistics or related discipline with extensive relevant experience
• Experience working as a Statistician in the Pharmaceutical Industry
• Experience implementing innovative method by simulation using R, SAS or other software

Preferred Qualifications

If you have the following characteristics, it would be a plus:

• PhD in Statistics or closely related field
• Practical understanding of Statistical Modelling and its application to Real World clinical problems
• Experience with Bayesian methods
• Expertise and practical application in multiple statistical methodologies
• Capable of applying innovative statistical thinking
• Track record of strong performance in an industry or academic setting
• Excellent interpersonal and communication skills
• Capability in building and maintaining strong working relationships in a team setting
• Demonstrated ability to explain novel and standard methods to scientific and clinical colleagues
• Strong influencing skills applied effectively across functions and levels of an organization
• Self‑motivated and independent worker
• Strong time management skills; able to effectively organize and manage a variety of tasks across different projects

Closing Date for Applications – 10 Nov 2025 (COB)

Please take a copy of the Job Description, as this will not be available post closure of the advert.
When applying for this role, please use the ‘cover letter’ of the online application or your CV to describe how you meet the competencies for this role, as outlined in the job requirements above. The information that you have provided in your cover letter and CV will be used to assess your application.

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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