Data Science Industrial Placement

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Data Science Industrial Placement

Role 1: Computational Scientist

Location: Stevenage

The Computational Sciences department at GSK Stevenage has opportunities for two Industrial Placement students to join their team. We work in close collaboration with our R&D colleagues to apply computational techniques to discover better and safer medicines for patients. We have a diverse range of expertise, from machine learning to cheminformatics, bioinformatics and molecular simulation.

Data Science/Machine Learning: GSK is a partner in an EU Innovative Medicines Initiative project, MELLODDY (https://www.biopharmatrend.com/post/97-pharma-companies-join-forces-to-train-ai-for-drug-discovery-collectively/) and one of our Industrial Placement students will be involved with the data assembly, machine learning and data analysis as we contribute to the various workstreams of this ambitious, international project.

Bioinformatics/protein structure analysis: In order to determine whether novel targets in the human genome will be able to bind drug-like molecules we perform in silico analyses of protein structures. One of our industrial placement students will be involved in evaluating methods for binding-site detection and scoring.

Familiarity with a programming language such as Python is preferable for both placement opportunities. You should also be thorough in the way you work and pay attention to detail. You will be able to plan and organise your own work and have the ability to work independently as well as in a team environment. You have the ability to follow projects through to completion.

These are computational roles and will not involve any laboratory work.

Role 2: Scientific Analytics and Visualisation Expert

Location: Stevenage

At GlaxoSmithKline we have a world-leading computational environment and toolset to enable large scale experiments that exploit GSK’s unique access to data. This is an exciting role that will stretch your knowledge and curiosity, offering the opportunity to learn new skills and be part of a dynamic, growing community of data experts.

DCS Scientific Analytics and Visualisation (SAV) have three key remits:

1. Deliver new solutions for analysing and visualizing data
2. Upskill R&D with existing tools, platforms and standards
3. Drive shift from descriptive to predictive and prescriptive analytics

You will have accountability for delivering small projects or specific deliverables within a SAV program of work. These projects could be across any scientific area, providing you a great opportunity to see how data is adding value across R&D.

Key Responsibilities:

• Platforms and tools delivery: work in a team to support the delivery and adoption of a platform or tool, including how the tool/platform is used, the value added through its use, gathering feedback from scientific users and direct support for our scientists
• Upskilling: deliver aspects of the R&D Data Academy to upskill scientific users and maximise value through use of new platforms and tools
• Transformational change: provide insight and challenge the status quo, help scientists harness the power of cutting-edge data and analytics tools that disrupt and transform how we develop medicines

Role 3: Data Scientist

Location: Stevenage

At GlaxoSmithKline we have created a world-leading computational environment and toolset to enable large scale experiments that exploit GSK’s unique access to data. This is an exciting role that will stretch your knowledge and curiosity, offering the opportunity to learn new skills and be part of a dynamic, growing community of data scientists.

DCS Scientific Analytics and Visualisation (SAV) have three key remits:

1. Deliver new solutions for analysing and visualizing data
2. Upskill R&D with existing tools, platforms and standards
3. Drive shift from descriptive to predictive and prescriptive analytics

This is a hands-on position where you will have accountability for delivering small projects, assignments or specific deliverables within a SAV program of work. These projects could be across any scientific area, providing you a great opportunity to see how data is adding value across R&D.

Key Responsibilities:

• Apply the latest advancements in data science and analytics to build, test, and validate predictive models
• Compare results from various methodologies to identify the best techniques for a solution
• Create algorithms to extract information from large, multiparametric data sets
• Design, develop and implement analytical solutions using a variety of commercial and open source tools (common tools include Python, R, TensorFlow)
• Deploy your algorithms to production to identify actionable insights from large databases
• Connect and collaborate with subject matter experts in biology, chemistry, and medicine

Role 4: System modeler - SMTB

Location: Stevenage or Ware

The Systems Modeling and Translational Biology (SMTB) department is seeking students passionate about using advanced mathematical modeling and computational sciences to develop and use mechanistic models of disease processes (QSP) and toxicology (QST) as well as physiological based pharmacokinetic (PBPK) models for drug exposure.

The SMTB group uses mathematical modeling and simulation to address the relationships between drug properties, its disposition and the pharmacological and toxicological response to translate from in-vitro and in-vivo preclinical species to humans. This involves the integration and interpretation of data from many sources to help drive project decisions.

Working in a dynamic, multidisciplinary environment the successful candidate will develop, calibrate and use large scale Quantitative Systems Pharmacology/Toxicology models linked with drug physiological based pharmacokinetics models linking mechanistic drug disposition with target biology and clinical outcomes for various diseases.

This position is an exciting opportunity to make a difference in the lives of patients by applying mechanism based mathematical modeling coupled with biological knowledge to drive drug discovery and development.

Responsibilities:

• Develop QSP/QST and /or PBPK models
• Responsible for providing modeling support systems model development
• Build, expand and refine the modeling capabilities and software platforms of SMTB

Role 5: Information Scientist

Location: Stevenage

This unique, varied and challenging role offers you the opportunity to combine your scientific expertise with your passion for data. You will be part of growing team of experts in Data Strategy & Design whose remit is to transform the way decisions are made by combining both relevant external and internal data for objective decision making across R&D.

You will:

• Gain experience of all aspects of the data journey from assessing R&D data needs through to enabling scientists to gain valuable insights from that data.
• Acquire a broad and deep knowledge of how R&D uses data to inform critical decisions from early discovery, through to preclinical, clinical and regulatory.
• Grow and strengthen your transferrable skills in team working, influencing and change management.
• Shape the future of external information and data at GSK.

Specifically, your key responsibilities will be to:

• Assess R&D data needs by partnering with colleagues in DCS, R&D and AI/ML.
• Evaluate and select relevant external data to meet R&D and AI/ML needs.
• Partner with vendors and other external organisations to acquire relevant external data.
• Support scientists to enable them to answer their business questions using external data.
• Undertake specific projects to provide innovative ways of simplifying access to external data.
• Actively contribute to the evolution of the External Data Strategy at GSK.

This role will provide a fantastic springboard for a future career in scientific data and valuable experience to apply and hone your leadership skills.

About GSK

One of the world’s leading healthcare companies, GSK discovers, develops, manufactures and distributes life-saving vaccines, prescription medicines and consumer health products such as Maxinutrition, Sensodyne, Aquafresh and Panadol.

The size and scope of our organisation allows our people to answer some of the biggest questions facing everyone on the planet – questions about future healthcare needs and questions about building a responsive, innovative, global business to meet them – as well as questions about their own personal and professional growth.

How to apply

To apply for this role and to find out more, please click on the apply button.

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