Multiple roles - please read below about the positions we are recruiting for, when you apply you will be able to select three preferences. We will accommodate your preference where possible.
These are computational roles and will not involve any laboratory work
- Role 1: Computational Scientist: 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.
- Role 2: Scientific Analytics and Visualisation Expert: 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.
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.
- Role 3: Data Scientist: 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.
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.
- Role 4: System modeler - SMTB: 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. 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.
- Role 5: Information Scientist: 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.
This role will provide a fantastic springboard for a future career in scientific data and valuable experience to apply and hone your leadership skills.
Scope of the roles
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.
What we are looking for
Good knowledge of basic statistics and a strong interest in data science/machine learning.
Must be studying an undergraduate degree in chemical, mechanical or biomedical engineering, physics, applied mathematics, scientific computing or related field.
A-levels (or equivalent) in biological, chemical science, maths or other quantitative fields (e.g. computer science, statistics).
You will have completed a minimum of two 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.
Accepted degree subjects
- biology and life sciences
- computer sciences
- chemical engineering
- mechanical engineering
Additional job details
- Competitive salary
- Contract, dates and working times
- Fixed term
How to apply
We recruit on an on-going basis and prioritise applications based on the application date. Applications will close when we have filled our virtual assessment centre dates.
This opportunity has the following recruitment stages you must successfully pass to be offered a placement year with GSK for 2021
- Eligibility form
- Online assessment
- Application form
- Virtual assessment centre
Click Apply to start your application now. This job will be available on Prospects until 16 October 2020
Don't forget to mention Prospects to employers when you contact them.
Closing date: 16 October 2020