This is an exciting opportunity to channel your passion for Innovation in the field of Statistics and Data Science to help shape the future of the Biostatistics function and transform the way in which GSK uses data and quantitative thinking to drive decision-making in R&D. 

Biostatistics is the single-largest functional group of Statisticians, Programmers and Data Scientists within GSK R&D across the US, UK, Europe and India. Our mission is to put statistical thinking at the heart of R&D decision-making; to ensure that predictive models and well-designed experiments and trials deliver robust evidence as the input to those decisions – ultimately making the R&D process more efficient and increasing the probability of success. We are investing in our cutting-edge innovation capabilities by expanding the Statistics & Data Science Innovation Hub (SDS-IH) led by Prof Nicky Best. The vision of SDS-IH is to be the catalyst for innovation and advanced data-driven decision making. 

At the heart of SDS-IH lies a diverse coalition of Statisticians and Data Scientists - a synthesis of unique skills and experiences. Together, we are the architects of novel quantitative methodologies, systems, and tools – a living embodiment of our vision.

Why join the Predictive Modelling Pillar:

The Predictive Modelling pillar is a dedicated team of innovators in statistics and machine learning, focusing on complex data challenges across R&D. This team specialises in untangling disease progression and modelling complex longitudinal data, including biomarkers, omics, imaging, and clinical trial data. We think in a predictive mode: by leveraging advanced predictive solutions, we aim to transform the R&D pipeline with robust and scalable models.

Within this pillar, we focus on creating disease progression models that understand patterns of disease across various stages. These models incorporate diverse data types, such as imaging, biomarkers, omics, and clinical data, to build comprehensive solutions that predict disease progression. Our work spans multiple disease areas, requiring expertise in multistate modelling, longitudinal data analysis, and machine learning.

We are looking for an experienced statistician with a passion for innovation to join our team. This individual will contribute to developing models related to upcoming needs across therapeutic areas, and help scale our efforts on digital twins, real-world evidence (RWE) for clinical trial design and analysis, and the design of hybrid or externally controlled trials.

We create a place where people can grow, be their best, be safe, and feel welcome, valued and included. We offer a competitive salary, an annual bonus based on company performance, healthcare and wellbeing programmes, pension plan membership, and shares and savings programme.

We embrace modern work practises; our Performance with Choice programme offers a hybrid working model, empowering you to find the optimal balance between remote and in-office work.

Discover more about our company wide benefits and life at GSK on our webpage Life at GSK | GSK

In this role you will

• Develop and implement advanced statistical models for disease progression using longitudinal data, survival analysis, and machine learning techniques.
• Integrate diverse data sources, such as imaging, biomarkers, omics, and clinical data, to create comprehensive predictive models.
• Collaborate with multidisciplinary teams to complement ongoing work across therapeutic areas.
• Enhance current work on digital twins to scale predictive modelling efforts.
• Engage with stakeholders to understand upcoming needs and align model development efforts accordingly.

Why you?

Basic Qualifications & Skills:

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

• PhD in statistics, data science, computer science, mathematics, engineering, or a related quantitative discipline.
• Demonstrable evidence of innovation and technical strength in advanced statistical modelling (including Bayesian method, survival analysis) and/or modern data science and machine learning techniques
• Publications in major scientific journals, conferences, or other scientific proceedings.
• Hands-on experience writing and delivering advanced R and/or Python scripts to implement complex analyses and demonstrating good coding practices (e.g., readable code, reproducible output, generalisable functions, and version control principles).
• Effective verbal and written communication and stakeholder engagement, conveying complex concepts to diverse audiences.

Preferred Qualifications & Skills:

Please note the following skills are not necessary, just preferred, if you do not have them, please still apply:

• Experience in Pharma R&D or related healthcare industry, including clinical trial operations (preferred) and regulatory compliance.
• Demonstrable evidence of influencing and partnering with diverse stakeholders of varying levels of seniority.
• Adept at handling and wrangling disparate sources of data (e.g., biological, pre-clinical, clinical, epidemiological, EHRs) toward the development of complex in silico models for clinical trial simulation.
• Experience working in High Performance Computing environments either for running intensive computational methods or for handling large simulation experiments.

Closing Date for Applications – 09 Aug 2024 (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.

At GSK, we have bold ambitions for patients, aiming to positively impact the health of 2.5 billion people over the next 10 years. R&D is committed to discovering and delivering transformational vaccines and medicines to prevent and change the course of disease. Science and technology are coming together in a way they never have before, and we have strong tech-enabled capabilities that allow us to build a deeper understanding of the patient, human biology and disease mechanisms, and transform medical discovery.  We are revolutionising the way we do R&D. We’re uniting science, technology and talent to get ahead of disease together.

Find out more:

Our approach to R&D.   

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.

As an Equal Opportunity Employer, we are open to all talent. In the US, we also adhere to Affirmative Action principles. This ensures that all qualified applicants will receive equal consideration for employment without regard to neurodiversity, race/ethnicity, colour, national origin, religion, gender, 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*(*US only).

We believe in an agile working culture for all our roles. If flexibility is important to you, we encourage you to explore with our hiring team what the opportunities are.

Should you require any adjustments to our process to assist you in demonstrating your strengths and capabilities contact us on Ukdiversity.recruitment@gsk.com or 0808 234 4391. 

Please note should your enquiry not relate to adjustments, we will not be able to support you through these channels. However, we have created a UK Recruitment FAQ guide. Click the link and scroll to the Careers Section where you will find answers to multiple questions we receive

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