Computational Scientist & Computational Biology (Multiple Roles) Placement
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.
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: July 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).
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.
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.
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 works in close collaboration with our Research colleagues to apply computational techniques to discover better and safer medicines for patients.
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.
How to apply
To apply for this programme and to find out more, please click on the apply button below.
Please note that applications may close before the application deadline, so apply early to avoid disappointment.
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