Statistics Leader

Site Name: UK - Hertfordshire - Stevenage Posted Date: Dec 19 2022 Statistics Leader Channel your passion for Innovation in the field of Statistics and Data Science to help shape the future of our 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 – ultimately making the development process more efficient and maximising success. We are investing in growing our cutting-edge statistical innovation and data science capabilities under the Statistics & Data Science Innovation Hub (SDS-IH) led by Prof Nicky Best. SDS-IH’s 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. This is an exciting opportunity to join our Predictive Modelling Pillar. The ideal candidate would have a broad interest in the application of sophisticated statistical modelling and machine learning to address varied challenges in drug discovery, biomarkers, and clinical trials. You will need to have background knowledge in cutting edge statistical and machine learning methods and working experience of programming in R. You will operate in matrix teams on a wide range of projects using agile ways of working 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 statistical innovation and data science solutions across R&D, and to effectively communicate complex technical concepts to a range of stakeholders. We’re combining the power of genetic and genomic insights into what causes disease, with the speed and scale of artificial intelligence and machine learning (AI/ML) to make better predictions about who a treatment might work for, and why. We believe this powerful combination of data and technology holds the key to fundamentally transforming medical discovery for the better, improving R&D success rates and shaping how even the most challenging diseases, like neurological conditions and cancer, can be both prevented and treated. In 2021 we delivered four major product approvals: Cabenuva for HIV, Jemperli for endometrial cancer, Xevudy for COVID-19 and Apretude, our new long-acting medicine for HIV prevention. Find out more: Our approach to R&D In this role you will: Deliver innovative statistical and data science tools and methods to: enable data-driven decision-making and accelerate execution and delivery of the portfolio implement data-driven solutions that add business value within agreed timelines Provide technical leadership and direction in the form of consultancy and training to fellow statisticians, programmers, data scientists and relevant strategic partners within R&D Interact with external scientific groups (industry, academia, regulators) and vendors through presentations, publications, and collaborations, to contribute to innovation and uptake of novel designs, predictive analytics, and data science within GSK and across the pharmaceutical industry Closing Date for Applications: 2nd of January (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. During the course of your application you will be requested to complete voluntary information which will be used in monitoring the effectiveness of our equality and diversity policies. Your information will be treated as confidential and will not be used in any part of the selection process. If you require a reasonable adjustment to the application / selection +44 (0)808 234 4391. This will help us to understand any modifications we may need to make to support you throughout our selection process. *LI-GSK Why you? Qualifications & Skills: We are looking for professionals with these required skills to achieve our goals: PhD or equivalent postgraduate qualification in statistics, data science, mathematics, computer science or related quantitative discipline  Superb written and verbal communication skills and demonstrated ability to effectively communicate complex technical and statistical ideas to non-specialists Advanced knowledge of R Demonstrable evidence of innovation and technical strength in advanced statistical modelling and/or modern data science and machine learning techniques, including dynamic survival and joint models, Bayesian methods, meta-analysis/evidence synthesis and clinical trials simulations. Publications in major scientific journals, conferences, or other scientific proceedings Experience of working in multiple projects, stakeholder management Preferred Qualifications & Skills: If you have the following characteristics, it would be a plus: Experience in building data pipelines from multiple sources (e.g. biological, pre-clinical, clinical, epidemiological, EHRs) and use cutting edge statistical and machine learning methods to develop predictive models and build platforms for complex in silico modelling. Experience in the following areas of focus: predicting clinical trial recruitment and probability of achieving target timelines predicting clinical endpoints from biomarker/surrogate endpoints evidence synthesis and development of novel approaches using Real World Data causal inference 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 organization where people can thrive. Getting ahead means preventing disease as well as treating it, and we aim to impact the health of 2.5 billion people around the world in the next 10 years. 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. Find out more: Annual Report 2021 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. Getting ahead means preventing disease as well as treating it, and we aim to impact the health of 2.5 billion people around the world in the next 10 years. 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 workplace where everyone can feel a sense of belonging and thrive as set out in our Equal and Inclusive Treatment of Employees policy. We’re 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. 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. Please don’t hesitate to contact us if you’d like to discuss any reasonable adjustments to our process which might help you demonstrate your strengths and capabilities. For UK Intern roles (including Industrial Placements) you can either call us on 01582 692870, or send an email [email protected] For UK Apprentice and Graduate Programme roles (including Future Leaders Programme) you can either call us on 0203 862 2277, or send an email [email protected] As you apply, we will ask you to share some personal information which is entirely voluntary. We want to have an opportunity to consider a diverse pool of qualified candidates and this information will assist us in meeting that objective and in understanding how well we are doing against our inclusion and diversity ambitions. We would really appreciate it if you could take a few moments to complete it. Rest assured, Hiring Managers do not have access to this information and we will treat your information confidentially. 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