Year in industry placement | Data Sciences

Immunocore
Oxford
3 weeks ago
Create job alert
Year in industry placement | Data Sciences

5 days ago Be among the first 25 applicants


Location of role Oxford, UK


Department Translational Medicine


Key Responsibilities

Immunocore has a substantial clinical trial data resource, combining trial outcome data with extensive RNA and DNA sequencing data. The aim of this project is to develop a systematic data storage and retrieval strategy suitable for integration with machine learning tools, and then to use ML to glean novel insights into response signatures and factors linked to treatment outcome.


Initially, work with the team to design and implement a strategy for efficient management and storage of existing clinical trial data and DNA/RNA sequencing resources. This will likely involve, but not be limited to, the development of relational (SQL-like) database(s), with the use of either R or Python visualisation tools for description and exploration of the data.


Subsequently, utilise this resource (alongside other data, as appropriate) to search for signatures of ImmTAC‑mediated responses and links to clinical outcomes. Exploratory work may involve a range of tools, but it is anticipated that the project will employ machine‑learning techniques to glean novel insights. This will largely rely on Python tools (e.g. scikit‑learn, PyTorch).


Education & Qualifications

Currently studying towards a BSc in life sciences / biomedicine or a similar discipline. This would suit someone with an interest in data science and coding. Some familiarity with coding and working in a Linux environment is desirable (the post will involve work in Python, SQL, and R), but this can be taught during the placement.


What will you receive?

Join Immunocore for a paid placement and gain insights from our innovative science and corporate growth. You’ll enjoy 25 days of annual leave (pro‑rate), pension scheme eligibility, and access to our active Sports and Social Club with subsidised events.


Important information for all applicants

The application deadline is 09 January 2026, with phone interviews starting shortly after. Shortlisted candidates will be invited to an in‑person Assessment Centre on 23, 24, 25, or 26 February 2026, providing an opportunity to meet current placement students, learn about the role, and socialize with employees.


Placements are expected to begin on 7 September 2026. Please only apply if you are currently undergoing a degree with a placement year (sandwich year). If you are not available on all the above dates, unfortunately, we won’t be able to proceed with your application.


If interested, apply with your CV and a cover letter (combined in one document) stating your main areas of interest.


About the Company

Immunocore (NASDAQ: IMCR) is a pioneering, commercial‑stage T cell receptor biotechnology company whose purpose is to develop and commercialise a new generation of transformative medicines that address unmet patient needs in oncology, infectious diseases and autoimmune disease. Our leaders in R&D are internationally recognised as some of the biotech industry’s most successful drug developers. We are creating an environment where great minds can interact and an innovation powerhouse answering the big questions.


Focused on delivering first‑in‑class biological therapies to patients, we have developed a highly innovative soluble TCR platform. Our ImmTAX molecules underpin a new generation of precision‑engineered drugs that harness the immune system to treat a broad spectrum of diseases with high unmet medical need, including oncology, infectious diseases and autoimmune diseases.


At Immunocore, we recognize that our employees are our greatest asset. We value the unique contributions each person brings to our team. By embracing Science, Trust, Respect, Integrity, Diversity, and Entrepreneurship (STRIDE), we create an environment where collaboration thrives, ideas flourish, and transformative changes happen. STRIDE represents more than just letters; it embodies our shared identity and drives our mission.


Immunocore is proud to be an equal opportunity employer. As such, we are committed to fostering an inclusive workplace where everyone feels valued, respected, and empowered. We encourage applications from individuals of all backgrounds, regardless of race, colour, religion, sex, sexual orientation, gender identity or expression, pregnancy, age, national origin, disability status, or any other characteristic protected by law.


#J-18808-Ljbffr

Related Jobs

View all jobs

Informatics Data Science Manager

Data Science Placement: ML & Biomedical Data

Sewerage Data Scientist Placement Student

Informatics Data Science Manager

Sewerage Data Science Placement — 12‑Month Bath Internship

Data Science Graduate

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

By subscribing, you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

AI Jobs for Career Switchers in Their 30s, 40s & 50s (UK Reality Check)

Changing career into artificial intelligence in your 30s, 40s or 50s is no longer unusual in the UK. It is happening quietly every day across fintech, healthcare, retail, manufacturing, government & professional services. But it is also surrounded by hype, fear & misinformation. This article is a realistic, UK-specific guide for career switchers who want the truth about AI jobs: what roles genuinely exist, what skills employers actually hire for, how long retraining really takes & whether age is a barrier (spoiler: not in the way people think). If you are considering a move into AI but want facts rather than Silicon Valley fantasy, this is for you.

How to Write an AI Job Ad That Attracts the Right People

Artificial intelligence is now embedded across almost every sector of the UK economy. From fintech and healthcare to retail, defence and climate tech, organisations are competing for AI talent at an unprecedented pace. Yet despite the volume of AI job adverts online, many employers struggle to attract the right candidates. Roles are flooded with unsuitable applications, while highly capable AI professionals scroll past adverts that feel vague, inflated or disconnected from reality. In most cases, the issue isn’t a shortage of AI talent — it’s the quality of the job advert. Writing an effective AI job ad requires more care than traditional tech hiring. AI professionals are analytical, sceptical of hype and highly selective about where they apply. A poorly written advert doesn’t just fail to convert — it actively damages your credibility. This guide explains how to write an AI job ad that attracts the right people, filters out mismatches and positions your organisation as a serious employer in the AI space.

Maths for AI Jobs: The Only Topics You Actually Need (& How to Learn Them)

If you are a software engineer, data scientist or analyst looking to move into AI or you are a UK undergraduate or postgraduate in computer science, maths, engineering or a related subject applying for AI roles, the maths can feel like the biggest barrier. Job descriptions say “strong maths” or “solid fundamentals” but rarely spell out what that means day to day. The good news is you do not need a full maths degree worth of theory to start applying. For most UK roles like Machine Learning Engineer, AI Engineer, Data Scientist, Applied Scientist, NLP Engineer or Computer Vision Engineer, the maths you actually use again & again is concentrated in a handful of topics: Linear algebra essentials Probability & statistics for uncertainty & evaluation Calculus essentials for gradients & backprop Optimisation basics for training & tuning A small amount of discrete maths for practical reasoning This guide turns vague requirements into a clear checklist, a 6-week learning plan & portfolio projects that prove you can translate maths into working code.