Principal Data Scientist

2 weeks ago

London, United Kingdom GlaxoSmithKline Full time

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. 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. 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. 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.
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 offer a competitive salary, an annual bonus based on company performance, healthcare and wellbeing programmes, pension plan membership, and shares and savings programme.
our Performance with Choice programme offers a hybrid working model, empowering you to find the optimal balance between remote and in-office work.
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.
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., Experience in Pharma R&D or related healthcare industry, including clinical trial operations (preferred) and regulatory compliance.
Adept at handling and wrangling disparate sources of data (e.g., Experience working in High Performance Computing environments either for running intensive computational methods or for handling large simulation experiments.
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. 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’re uniting science, technology and talent to get ahead of disease together.
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 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).
As an Equal Opportunity Employer, we are open to all talent. 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.

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