Be at the heart of actionFly remote-controlled drones into enemy territory to gather vital information.

Apply Now

Principal Statistician, Oncology Statistics

GSK
Stevenage
9 months ago
Applications closed

Related Jobs

View all jobs

Principal Data Scientist

Executive Director / Principal Data Scientist

Senior Principal Data Scientist

Senior Principal Data Scientist

Principal Data Scientist

Principal Data Scientist

Job description
Site Name:USA - Pennsylvania - Upper Providence, GSK HQ, Stevenage, Waltham
Posted Date:Jan 24 2025

Clinical Statisticians are highly prized and urgently needed at GSK to grow an industry-leading team to ensure high quality quantitative reasoning is at the heart of every project in the portfolio. Our role is essential to ensure we maximize the use of every single data point available to efficiently determine translational strategies that are the foundation of our end-to-end clinical development plans. We need exceptionally talented and committed Statisticians like you to apply your statistical skills and innovative statistical methodology to drive key contributions to the development of new medicines.

The OncologyClinical Development Statisticsgroup have a Principal Statistician opportunity available to support assets within the Oncology disease area, providing statistical and strategic insight into the clinical development plan and design of end-to-end development strategies. This begins with early first in human trials, all the way through to late phase drug development. The team strive to use novel clinical trial designs and innovative statistical methodologies, including Bayesian techniques, to quantify risk across an entire program and enable smart decision making on where to invest to improve the probability of study and program success.

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 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.

Basic Qualifications:

  • PhD in Statistics or related discipline, or MS in Statistics or related discipline with 3+ years of experience working as a Statistician within a CRO, Clinical Trial, or Academic setting in the Pharmaceutical Industry

  • Experience implementing innovative methods, such as Adaptive Design, Machine Learning, and Trial Simulation using SAS, R or other professional software

Preferred Qualifications:

  • 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

  • Self-motivated and independent worker

  • Strong time management skills; able to effectively organize and manage a variety of tasks across different projects

  • Capable of applying innovative statistical thinking

  • Track record of strong performance in an academic or industry 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

  • Time management and prioritization skills

#LI-GSK

Please visit GSK US Benefits Summaryto learn more about the comprehensive benefits program GSK offers US employees.

Why GSK?

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

GSK is a global biopharma company with a special purpose – to unite science, technology and talent to get ahead of disease together – so we can positively impact the health of billions of people and deliver stronger, more sustainable shareholder returns – as an organisation where people can thrive. We prevent and treat disease with vaccines, specialty and general medicines. We focus on the science of the immune system and the use of new platform and data technologies, investing in four core therapeutic areas (infectious diseases, HIV, respiratory/ immunology and oncology).

Our success absolutely depends on our people. While getting ahead of disease together is about our ambition for patients and shareholders, it’s also about making GSK a place where people can thrive. We want GSK to be a place where people feel inspired, encouraged and challenged to be the best they can be. A place where they can be themselves – feeling welcome, valued, and included. Where they can keep growing and look after their wellbeing. So, if you share our ambition, join us at this exciting moment in our journey to get Ahead Together.

If you require an accommodation or other assistance to apply for a job at GSK, please contact the GSK Service Centre at 1-877-694-7547 (US Toll Free) or +1 801 567 5155 (outside US).

GSK is an Equal Opportunity Employer and, in the US, we adhere to Affirmative Action principles. This ensures that all qualified applicants will receive equal consideration for employment without regard to race, color, national origin, religion, sex, pregnancy, marital status, sexual orientation, gender identity/expression, age, disability, genetic information, military service, covered/protected veteran status or any other federal, state or local protected class.

Important notice to Employment businesses/ Agencies

GSK does not accept referrals from employment businesses and/or employment agencies in respect of the vacancies posted on this site. All employment businesses/agencies are required to contact GSK's commercial and general procurement/human resources department to obtain prior written authorization before referring any candidates to GSK. The obtaining of prior written authorization is a condition precedent to any agreement (verbal or written) between the employment business/ agency and GSK. In the absence of such written authorization being obtained any actions undertaken by the employment business/agency shall be deemed to have been performed without the consent or contractual agreement of GSK. GSK shall therefore not be liable for any fees arising from such actions or any fees arising from any referrals by employment businesses/agencies in respect of the vacancies posted on this site.

Please note that if you are a US Licensed Healthcare Professional or Healthcare Professional as defined by the laws of the state issuing your license, GSK may be required to capture and report expenses GSK incurs, on your behalf, in the event you are afforded an interview for employment. This capture of applicable transfers of value is necessary to ensure GSK’s compliance to all federal and state US Transparency requirements. For more information, please visit GSK’s Transparency ReportingFor the Recordsite.

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

By subscribing, you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

Machine Learning Recruitment Trends 2025 (UK): What Job Seekers Need To Know About Today’s Hiring Process

Summary: UK machine learning hiring has shifted from title‑led CV screens to capability‑driven assessments that emphasise shipped ML/LLM features, robust evaluation, observability, safety/governance, cost control and measurable business impact. This guide explains what’s changed, what to expect in interviews & how to prepare—especially for ML engineers, applied scientists, LLM application engineers, ML platform/MLOps engineers and AI product managers. Who this is for: ML engineers, applied ML/LLM engineers, LLM/retrieval engineers, ML platform/MLOps/SRE, data scientists transitioning to production ML, AI product managers & tech‑lead candidates targeting roles in the UK.

Why Machine Learning Careers in the UK Are Becoming More Multidisciplinary

Machine learning (ML) has moved from research labs into mainstream UK businesses. From healthcare diagnostics to fraud detection, autonomous vehicles to recommendation engines, ML underpins critical services and consumer experiences. But the skillset required of today’s machine learning professionals is no longer purely technical. Employers increasingly seek multidisciplinary expertise: not only coding, algorithms & statistics, but also knowledge of law, ethics, psychology, linguistics & design. This article explores why UK machine learning careers are becoming more multidisciplinary, how these fields intersect with ML roles, and what both job-seekers & employers need to understand to succeed in a rapidly changing landscape.

Machine Learning Team Structures Explained: Who Does What in a Modern Machine Learning Department

Machine learning is now central to many advanced data-driven products and services across the UK. Whether you work in finance, healthcare, retail, autonomous vehicles, recommendation systems, robotics, or consumer applications, there’s a need for dedicated machine learning teams that can deliver models into production, maintain them, keep them secure, efficient, fair, and aligned with business objectives. If you’re hiring for or applying to ML roles via MachineLearningJobs.co.uk, this article will help you understand what roles are typically present in a mature machine learning department, how they collaborate through project lifecycles, what skills and qualifications UK employers look for, what the career paths and salaries are, current trends and challenges, and how to build an effective ML team.