Data scientist (Translational Medicine) level 6 apprentice - Immunocore
Cogent Ssc Limited
Abingdon (OX14 4RY)
Closes on Friday 6 March 2026
Posted on 16 January 2026
Contents
Summary
Immunocore are looking to recruit a Data Scientist apprentice. This role will support the Bioinformatics team within Translational Medicine. The Bioinformatics team is a global team, using computational tools to analyse massive biological data (genomics, proteomics) for faster drug discovery.
- Wage
-
£22,000 a year
- Training course
- Data scientist (integrated degree) (level 6)
- Hours
-
Monday to Thursday, 09:00 - 17:00, with a 45 minute unpaid lunch break.
Friday, 09:00 - 16:15, with a 45 minute unpaid lunch break lunch break.
38 hours a week
- Start date
-
Monday 3 August 2026
- Duration
-
3 years 7 months
- Positions available
-
1
Work
Most of your apprenticeship is spent working. You’ll learn on the job by getting hands-on experience.
What you'll do at work
- As Data Science Apprentice, you will bring digital and data analytics methodologies together with industry best practice to actively support the bioinformatics team and the broader Translational Medicine function within the business
- During the apprenticeship, there will potentially be opportunities for you to work in other teams within Immunocore, for example IT and protein engineering (research)
- As well as on job learning you will be studying part-time at the University of Nottingham for a fully funded BSc (Hons) Data Science
Where you'll work
91 Park Drive
Milton Park, Milton
Abingdon
OX14 4RY
Training
Apprenticeships include time away from working for specialist training. You’ll study to gain professional knowledge and skills.
Training provider
UNIVERSITY OF NOTTINGHAM, THE
Training course
Data scientist (integrated degree) (level 6)
Understanding apprenticeship levels (opens in new tab)
What you'll learn
Course contents
- Identify and clarify problems an organisation faces, and reformulate them into Data Science problems. Devise solutions and make decisions in context by seeking feedback from stakeholders. Apply scientific methods through experiment design, measurement, hypothesis testing and delivery of results. Collaborate with colleagues to gather requirements.
- Perform data engineering: create and handle datasets for analysis. Use tools and techniques to source, access, explore, profile, pipeline, combine, transform and store data, and apply governance (quality control, security, privacy) to data.
- Identify and use an appropriate range of programming languages and tools for data manipulation, analysis, visualisation, and system integration. Select appropriate data structures and algorithms for the problem. Develop reproducible analysis and robust code, working in accordance with software development standards, including security, accessibility, code quality and version control.
- Use analysis and models to inform and improve organisational outcomes, building models and validating results with statistical testing: perform statistical analysis, correlation vs causation, feature selection and engineering, machine learning, optimisation, and simulations, using the appropriate techniques for the problem.
- Implement data solutions, using relevant software engineering architectures and design patterns. Evaluate Cloud vs. on-premise deployment. Determine the implicit and explicit value of data. Assess value for money and Return on Investment. Scale a system up/out. Evaluate emerging trends and new approaches. Compare the pros and cons of software applications and techniques.
- Find, present, communicate and disseminate outputs effectively and with high impact through creative storytelling, tailoring the message for the audience. Use the best medium for each audience, such as technical writing, reporting and dashboards. Visualise data to tell compelling and actionable narratives. Make recommendations to decision makers to contribute towards the achievement of organisation goals.
- Develop and maintain collaborative relationships at strategic and operational levels, using methods of organisational empathy (human, organisation and technical) and build relationships through active listening and trust development.
- Use project delivery techniques and tools appropriate to their Data Science project and organisation. Plan, organise and manage resources to successfully run a small Data Science project, achieve organisational goals and enable effective change.
Training schedule
The training for this apprenticeship is a block release at the University of Nottingham
Requirements
Essential qualifications
GCSE in:
- English (grade 4/C)
- Maths (grade 5)
A Level in:
- Biology (grade B)
- Maths (grade B)
Share if you have other relevant qualifications and industry experience. The apprenticeship can be adjusted to reflect what you already know.
Skills
- IT skills
- Attention to detail
- Organisation skills
- Problem solving skills
- Presentation skills
- Administrative skills
- Number skills
- Analytical skills
- Initiative
About this employer
As the specialists in skills for science and technology, our purpose is to make sure your business; your people and our industry are future ready. We are a not-for-profit charitable organisation with a family of commercially focused companies committed to supporting the skills, needs and ambitions across the UK science and technology sector.
Disability Confident
A fair proportion of interviews for this apprenticeship will be offered to applicants with a disability or long-term health condition. This includes non-visible disabilities and conditions.
You can choose to be considered for an interview under the Disability Confident scheme. You’ll need to meet the essential requirements to be considered for an interview.
After this apprenticeship
- Upon successful completion of the apprenticeship, you will be eligible to apply for other positions within the business
Ask a question
The contact for this apprenticeship is:
UNIVERSITY OF NOTTINGHAM, THE
The reference code for this apprenticeship is VAC2000009086.
Apply now
Closes on Friday 6 March 2026
After signing in, you’ll apply for this apprenticeship on the company's website.