Job description
Site Name:UK - Hertfordshire - Stevenage
Posted Date:Sep 25 2024

Roles Available in Location:Stevenage

Education required:  To apply for this placement, you must be:

Currently studying an Undergraduate Degree in Life sciences, Biomedical Sciences, Engineering, Mathematics, Bioinformatics, Computational Sciences, Statistics, Physics and for Role 2 have an A Level or equivalent in Mathematics

Please read the degree requirements for each role carefully before applying.

Other requirements:  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 must be enrolled at a UK (United Kingdom) or ROI (Republic of Ireland) University for the duration of your placement.

If you have already graduated with a Bachelor’s Degree and are currently studying a postgraduate Masters, you are not eligible for this programme.

Language requirement:Written and spoken fluency in English

Expected Start date:September 2025

Duration:1 year (approximately)

Salary:  A salary of £24,700 plus a bonus.

Application Closing:9th October 2024

Early applications are encouraged as candidates will be reviewed regularly and the advert may close at any point.

A GSK internship offers you the opportunity to kickstart your career – to take on a real role with genuine impact. You’ll take on challenging tasks within live projects or assignments.  You’ll also get to learn from others in your team and other parts of GSK whilst developing your skills and gaining valuable experience for wherever the future takes you.

Typical skills you can expect to learn on this placement will include:

• Teamworking through working with multidisciplinary teams

• Communication (written & verbal)

• Time management

• Problem-solving

• Networking

• Data analysis and management

• Technical skills (detailed within each role description)

Once you accept your offer you will be invited to join LinkedIn groups and pre-joining webinars, to enable you to connect and network with new students. You will join IPUnite, GSK’s community of over 250 students across all UK sites and business areas, run by the Industrial Placement students committee and will receive access to GSK resources, including employee assistance programmes, private healthcare, and well-being programs.

The Roles (3 available)

This advert contains multiple roles. Please read each description carefully before applying.

Role 1 – Computational Biologist (Human Genetics)

Degree requirements: Life sciences, Bioinformatics, Computational sciences, Statistics, Mathematics

Overview of the Department

Human Genetics and Genomics (HGG) aims to drive high quality, accelerated drug discovery and development decisions through the delivery of genetic and genomic insights that causally link target, mechanism, disease, biomarker and patient. We are a multidisciplinary team with deep and broad expertise in computational and statistical methods and techniques to enable best-in-class analytical insight and interpretation of genetics and genomics data. We take a systematic question-based approach to deliver impactful insights in high priority disease areas.

Key Placement Activities

• Writing scripts in the programming language R/Python to evaluate different biological network analysis approaches for extracting biological insights that will impact early target discovery.

• Processing, analysing and integrating genomics data (e.g. transcriptomics, proteomics) and gene annotations.

• Using statistics and benchmarking approaches to quantitatively compare different algorithms/approaches.

• Using best practice and version control for coding on cloud and high-performance computing environments.

• Working with computational biologists and experimentalists working with genomics data to identify opportunities to advance computational methods or further biological understanding.

• Developing programming skills - best practice coding, version control in different computing environments

• Gaining scientific knowledge - biological networks (and analysis of), systems biology approaches, genetics and genomics data and analysis, early drug discovery.

Role 2 – Systems Toxicology and Data

Degree requirements: Physical Science (E.G. Chemistry, Engineering, Mathematics, Statistics) OR Biological Science (E.G. Biology, Biomedical Sciences, Physiology) and must have an A Level or equivalent in Mathematics

Overview of the Department

The R&D Non-Clinical Safety (NCS) organisation delivers state-of-the-art mechanistic safety studies with novel modelling and risk assessment approaches and multi-disciplinary expertise. NCS applies cellular, molecular and computational approaches to elucidate mechanisms of toxicity, understand species differences, and identify translational safety biomarkers to inform project decisions.

Key Placement Activities

• Apply mathematical modelling approaches to understand safety profiles of drugs in discovery or development and explore potential adverse effects.

• Expand existing quantitative systems toxicology modelling capability using different experimental data types to build mathematical models.

• Internal collaboration with multi-disciplinary teams

• Data analysis to inform and validate models

• Participate in team meetings and present on project progress

• Understand the role of non-clinical safety assessment in drug discovery and development

Role 3 – Cheminformatics Data Scientist

Degree requirements: Chemistry, Physics, Pharmacy, Maths or Computer Science

Overview of the Department

The Cheminformatics department work in close collaboration with our Research colleagues to apply computational techniques to discover better and safer medicines for patients. We use both modern and generative models for use in drug discovery and to solve problems encountered by our drug design teams. Furthermore, we work with state-of-the-art computational methods and infrastructure, including 2D and 3D modelling, quantum mechanics and molecular simulation. The group has diverse research interests including classical cheminformatics, explainable AI, uncertainty estimation, and transfer learning using large internal molecular datasets.

Key Placement Activities

• Conduct data analysis and visualisation using cutting edge data and tools.

• Contribute code to our machine learning platforms and models that we are developing on site.

• Implement and evaluate novel methods which add to our automated design platform.

• Utilise datasets from various fields such as bioactivity, physical chemistry properties, DMPK and Toxicology.

These placement opportunities have the following recruitment stages you must successfully pass to

be offered a placement year with GSK for 2024:

1.           Eligibility Form

2.           World of GSK Online Assessment

3.           Written Assessment

4.           Virtual Assessment Centre or Virtual Interview

You’ll find hints, tips and guidance on our recruitment process on our websitehere.

You can learn more about GSK and our careershere.

Apply now!

We’re 100% open to all talent – whatever your gender, marital status, religion, age, colour, race, sexual orientation, nationality, learning difference or disability. We want to recruit the right people for GSK from the widest possible backgrounds, so we can better serve the diversity of our patients and also because it’s the right thing to do.

You can learn more about Inclusion and diversity at GSKhere.

Need help with your application?

Please email us at or call us on and let us know how we can help you.

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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 organisation where people can thrive. We prevent and treat disease with vaccines, specialty and general medicines. We focus on the science of the immune system and the use of new platform and data technologies, investing in four core therapeutic areas (infectious diseases, HIV, respiratory/ immunology and oncology).

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.

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.

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