Data Science

GSK Undergraduate Industrial Placement Job Title: Data Science Industrial Placement 

Reference Number: 2036f

Salary: Competitive

Degree Requirements: Must be studying an undergraduate degree in chemical, mechanical or biomedical engineering, physics, applied mathematics, scientific computing, chemistry, biology, pharmacy, mathematics, computer science or related field. 

A-levels (or equivalent) in Biological, Chemical Science, Maths or other quantitative fields (e.g. computer science, statistics). Good knowledge of basic statistics and a strong interest in data science/machine learning. 

You will have completed a minimum of 2 years of your undergraduate degree but will not have graduated at the start of your placement. You will be expected to provide evidence from your university to show you will be an undergraduate student for the duration of the placement year. 

Locations: Stevenage, Ware 

Duration: 1 year (approximately)

Detailed description of the roles:
GSK are a science-led global healthcare company that researches and develops innovative Pharmaceuticals, Vaccines and Consumer Healthcare products. Our challenging and inspiring mission is to enable people to do more, feel better and live longer by developing innovative products and improving access to healthcare for patients around the world. 

Whatever the role, you will experience working in a fast-paced research environment with access to cutting edge technology, whilst interacting with industry-leading scientists across multiple disciplines and sharing different experiences. During the internship, the IP student will be supported, given training (laboratory and office practices) daily where applicable until confident to work independently and within GSK health and safety requirements, enrolled in several GSK internal courses as part of company policy, enrol in personal development courses and networking opportunities throughout the year and attend seminars led by GSK scientists. 

We recruit on an on-going basis and prioritise applications based on the application date.  

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.

Close Date: Friday 16th October 2020 

Applications will close when we have filled our virtual assessment centre dates.

If you have what we’re looking for apply today!

This opportunity has the following recruitment stages you must successfully pass to be offered a placement year with GSK for 2021!
  1. Eligibility Form
  2. Online Assessment
  3. Application Form
  4. Virtual Assessment Centre