GSK

Statistics and Data Science Innovation Hub: Multiple Roles at Director/Leader Level

Source: Talent GB


Statistics and Data Science Innovation Hub: Multiple Roles at Director/Leader Level

US Hiring Locations : Collegeville, PA, Rockville, MD and Waltham, MA

UK Hiring Locations : Stevenage, GSK House (Brentford)

EU Hiring Locations: Wavre, Belgium; Siena, Italy; Amsterdam, The Netherlands

Remote Working : A variety of flexible working arrangements are available in US, UK and EU

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, 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 by creating the new 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.

We have multiple openings at Director and Leader level across each of our three capability pillars: Complex Innovative Designs , Predictive Modelling and Data Science . Responsibilities will vary with experience and capability pillar. In general, candidates should be interested in statistical and data science innovation and have excellent technical skills that span one or more pillars. 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 provide strong technical leadership to 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.

Why join The Statistics & Data Science Innovation Hub?

Core responsibilities for all capability pillars:

  • Deliver innovative statistical and data science tools and methods to:enable data-driven decision-making and accelerate execution and delivery of the portfolioimplement 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, in order to contribute to innovation and uptake of novel designs, predictive analytics and data science within GSK and across the pharmaceutical industry
  • Essential requirements:

  • MSc or equivalent postgraduate qualification in data science, mathematics, statistics, computer science or related quantitative discipline. PhD or higher for Predictive Modelling and Complex Innovative Designs pillars
  • Superb written and verbal communication skills and demonstrated ability to effectively communicate complex technical and statistical ideas to non-specialists
  • Demonstrable evidence of learning agility and unbiased approach to solving problem relevant to the core pillars
  • Thorough working knowledge of R / Python
  • Pillar-specific details

    Complex Innovative Designs pillar

    Additional responsibilities:

  • Drive systematic use of quantitative decision-making methods to support development plans across all stages of the drug development lifecycle
  • Identify, develop and implement novel statistical methodologies to increase efficiency and effectiveness of clinical trial design and analysis, including leveraging relevant prior information, use of adaptive and complex innovative designs, methods for handling missing data due to treatment discontinuation and withdrawal from clinical trials (estimands), analysis, visualization and endpoint development from data arising from wearable/digital devices, biomarker-driven designs and modelling.
  • Lead or contribute to strategic activities to investigate, promote and implement statistical thinking and emerging quantitative tools and methods to support risk-based approaches and data-informed decision-making across the portfolio
  • Additional role requirements:

  • Relevant experience in drug development or other relevant industry or academic setting
  • Demonstrable evidence of statistical innovation and technical statistical strength, including publication in major scientific journals, conferences or other scientific proceedings
  • Experienced user of modern biostatistical methods relevant to drug development, such as Bayesian modelling, mixed modelling, longitudinal/time series modelling, survival analysis, meta-analysis/evidence synthesis, clinical trial simulation
  • Predictive Modelling pillar

    Additional responsibilities:

  • Build 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. Key focus areas include:modelling individualised treatment effectspredicting clinical endpoints from biomarker/surrogate endpointsgenerating synthetic control armsdevelopment of novel endpoints using data arising from wearable/digital devicesmodelling of gut microbiome compositional data to answer biological questions relating to inflammatory and immune responsepredicting clinical trial recruitment and probability of achieving target timelines
  • Additional role requirements:

  • Demonstrable evidence of innovation and technical strength in advanced statistical modelling (including Bayesian methods) and/or modern data science and machine learning techniques, including publication in major scientific journals, conferences or other scientific proceedings
  • Experience of modelling of complex datasets in applied business or scientific application domains
  • Data Science pillar

    Additional responsibilities:

  • Deliver practical, impactful data science solutions to stakeholders from both within Biostatistics and R&D partners, e.g.Guide/training course/webinarStatistical/ML modelsWeb applicationR/python packagesComputational environments
  • Lead and mentor teams consisting of junior data scientists, partners from the wider Biostatistics community and/or contract workers as applicable.
  • Additional role requirements:

  • A value-oriented approach to Data Science
  • Broad basis of technical knowledge, encompassing aspects of statistics, machine learning, data engineering, application development and development operations.
  • Please use an application cover letter to tell us why you would be suited to a role in SDS-IH and indicate which pillar(s) are of most interest to you.


    6 days ago



    Stevenage, Null

    GSK

    FULL_TIME

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