Job Description

Principal Data Scientist (Secondment \xe2\x80\x93 1 year)

Are you looking for an exciting development opportunity in a community of Data Scientists and Statisticians here at GSK?

This Principal Data Scientist secondment role 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, numbering approx. 700 permanent people in the US, UK, Europe and India. Our work ensures that robust quantitative examination and statistical analysis is at the heart of R&D decision-making and enables scientists to make timely, data-driven choices about which potential new medicines and vaccines are most promising to add value for patients \xe2\x80\x93 ultimately making the development process more efficient and maximising success. We are investing in growing our cutting-edge statistical innovation and data science capabilities by creating the new Statistics & Data Science Innovation Hub (SDS-IH) led by Prof Nicky Best.

SDS-IH\xe2\x80\x99s mission is to build capability and deliver data-driven approaches to decision making across the organization. Achieving this vision requires us to adapt to new ways of working and rebalance skills across Biostatistics. The SDS-IH team itself is a model for our vision, consisting of Statisticians and Data Scientists with a variety of different skills and backgrounds, working together to develop novel quantitative methodologies, systems and tools.

An ideal candidate for this position has a broad interest in the application of data science to address varied business problems. You will need to have a strong grounding in R and/or python and have experience of delivering value through predictive modelling and/or tools and applications (for example with R, Shiny or PowerBI). You will operate in matrix teams on a wide range of projects using agile ways of working collaboratively with other SDS-IH colleagues and partners from the wider Biostatistics, Data Science and R&D community. You will be expected to help drive delivery and uptake of data science solutions across R&D, and to effectively communicate complex technical concepts to a range of stakeholders.

Please note, we\'d like you to use an application cover letter to tell us why you would be suited to a role in Data Science, SDS-IH.

In this role you will

• Collaborate with other data scientists to build your understanding of the business context, systems, environment, strategy and people aligned to the given area. This also includes an understanding of the relevant internal and external data sources, validity, and domains of such data to align with the intended business objective.
• Build experience in predictive modelling techniques, such as regression, classification, and clustering to create a model or models depending on requirements and specifications.
• Build experience delivering innovative data science tools and solutions to both stakeholders from both within Biostatistics and R&D partners e.g., guide/training courses, Shiny web apps, R packages, Power BI dashboards
• You both give and seek feedback with others from across differing business areas, as relevant, to create better products and continually advance your data science skills.
• You are able to design rich data visualisations and use them to communicate complex messages to a variety of business stakeholders in a clear and simple way.
• Connect with internal and/or external scientific groups (industry, academia, regulators) and vendors through presentations, publications, and collaborations, in order to contribute to innovation and uptake of predictive analytics and data science within GSK and across the pharmaceutical industry.

Why you?

Qualifications & Skills:

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

• Minimum BSc degree (or equivalent) in STEM subjects (e.g. Computer Science, Machine Learning, Artificial Intelligence, Statistics, Bioinformatics, Engineering, Mathematics, Physics, Chemistry, Biology)
• Practical experience working in a Data related role
• Experienced in R and/or python
• Strong written, data visualisation and verbal communication skills and demonstrated ability to effectively communicate complex technical concepts

Preferred Qualifications

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

• Advanced degree in STEM subjects (as above), i.e., graduate diploma, Masters or PhD
• Working knowledge and experience of app development
• Predictive modelling experience
• Working knowledge and experience of Data Science frameworks, IDEs and toolkits

GSK is a global biopharma company with a special purpose \xe2\x80\x93 to unite science, technology and talent to get ahead of disease together \xe2\x80\x93 so we can positively impact the health of billions of people and deliver stronger, more sustainable shareholder returns \xe2\x80\x93 as an organisation where people can thrive. Getting ahead means preventing disease as well as treating it, and we aim to positively impact the health of 2.5 billion people by the end of 2030.

Our success absolutely depends on our people. While getting ahead of disease together is about our ambition for patients and shareholders, it\xe2\x80\x99s also about making GSK a place where people can thrive. We want GSK to be a workplace where everyone can feel a sense of belonging and thrive as set out in our Equal and Inclusive Treatment of Employees policy. We\xe2\x80\x99re committed to being more proactive at all levels so that our workforce reflects the communities we work and hire in, and our GSK leadership reflects our GSK workforce.

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