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Computational Biology & Data (Multiple Roles) Industrial Placement, UK 2025

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GSK

Yesterday

  • Internship
    Full-time
    Placement Program
  • Research & Development

AI generated summary

  • You must be a UK/ROI undergraduate in relevant fields, have completed 2 years of study, and be fluent in English. A-Level maths is needed for Role 2. No postgraduates allowed.
  • You will analyze and integrate genomic data, write scripts in R/Python, apply mathematical models, conduct data visualization, and collaborate with teams to advance drug discovery initiatives.

Requirements

  • 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

Responsibilities

  • Key Placement Activities for Role 1 – Computational Biologist (Human Genetics)
  • 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.
  • Key Placement Activities for Role 2 – Systems Toxicology and Data
  • 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.
  • Key Placement Activities for Role 3 – Cheminformatics Data Scientist
  • 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.

FAQs

What kind of roles are available in this placement?

There are three roles available: Computational Biologist (Human Genetics), Systems Toxicology and Data, and Cheminformatics Data Scientist.

What are the educational requirements for applying?

Applicants must be studying an Undergraduate Degree in relevant fields such as Life Sciences, Biomedical Sciences, Engineering, Mathematics, Bioinformatics, Computational Sciences, Statistics, or Physics. Additionally, for Role 2, an A Level or equivalent in Mathematics is required.

When is the expected start date for the placement?

The expected start date for the placement is July 2025.

How long does the placement last?

The duration of the placement is approximately one year.

What is the salary for this placement?

The salary for the placement is £24,700 plus a bonus.

When is the application closing date?

The application closing date is 9th October 2024. Early applications are encouraged as candidates will be reviewed regularly.

What type of experience will I gain during the placement?

You will gain experience in teamworking, communication, time management, problem-solving, networking, data analysis, and management, as well as technical skills specific to the role.

Are there any limitations on eligibility based on educational status?

Yes, you must have completed a minimum of 2 years of your undergraduate degree and must not have graduated at the start of your placement. Graduates currently studying a postgraduate Masters are not eligible.

Is there a language requirement for this position?

Yes, written and spoken fluency in English is required.

How will the recruitment process be conducted?

The recruitment process includes several stages: an Eligibility Form, World of GSK Online Assessment, Written Assessment, and a Virtual Assessment Centre or Virtual Interview.

GSK

Science & Healthcare
Industry
10,001+
Employees

Mission & Purpose

GSK, or GlaxoSmithKline, is a company that operates in the pharmaceutical and healthcare industry. They are involved in researching, developing, manufacturing, and selling a wide range of prescription medicines, vaccines, and consumer healthcare products. GSK's ultimate aim is to improve the quality of human life by providing innovative and effective healthcare solutions to people worldwide. Their commitment lies in focusing on scientific excellence, developing cutting-edge medicines and vaccines, and addressing global health challenges to help people live longer, healthier lives.

Benefits

  • A competitive base salary

  • An annual bonus based on company performance

  • Access to healthcare and wellbeing programmes, pension plan membership, savings programmes, time off and childcare support

  • Employee recognition programmes that reward exceptional achievements