Senior Bioinformatician

Immunocore
Oxford
10 months ago
Applications closed

Related Jobs

View all jobs

Senior Machine Learning Research Engineer

Senior Machine Learning Scientist

Senior Machine Learning Engineer

Senior Machine Learning Engineer

Senior Machine Learning Engineer

Senior Machine Learning Engineer

Job Description Immunocore (NASDAQ: IMCR) is apioneering, commercial-stage T cell receptor biotechnology companywhose purpose is to develop and commercialize a new generation oftransformative medicines which address unmet patient needs inoncology, infectious diseases and autoimmune disease. Our leadersin R&D are internationally recognised as some of the biotechindustry's most successful drug developers. We are creating notjust an environment where great minds can interact but aninnovation powerhouse answering the big questions. Focused ondelivering first-in-class biological therapies to patients, we havedeveloped a highly innovative soluble TCR platform. Our ImmTAXmolecules underpin a new generation of precision engineered drugsthat harness the immune system to treat a broad spectrum ofdiseases with high unmet medical need, including oncology,infectious diseases and autoimmune diseases. At Immunocore, werecognize that our employees are our greatest asset. We value theunique contributions each person brings to our team. By embracingScience, Trust, Respect, Integrity, Diversity, and Entrepreneurship(STRIDE), we create an environment where collaboration thrives,ideas flourish, and transformative changes happen. STRIDErepresents more than just letters; it embodies our shared identityand drives our mission. We are dedicated to developing breakthroughtherapies that transform patients' lives, advancing medicine, andsupporting one another in these pursuits. Immunocore is proud to bean equal opportunity employer. As such, we are committed tofostering an inclusive workplace where everyone feels valued,respected, and empowered. We encourage applications fromindividuals of all backgrounds, regardless of race, color,religion, sex, sexual orientation, gender identity or expression,pregnancy, age, national origin, disability status, or any othercharacteristic protected by law. To provide focused bioinformaticsexpertise to support the analysis and data management oftranslational biomarker data. This individual will be expected tothoroughly explore publicly available data together with emergingdata from Immunocore's clinical trials to provide new insights intomechanism of action, molecular heterogeneity of disease and noveltargets KEY RESPONSIBILITIES * Conduct the analysis oftranscriptomic and genomic sequencing data from our clinical trials* Compliment and develop our scientific hypotheses through themining of public data and the design and analysis of our ownin-house experiments * Develop custom-made tools and analytics toassist interpretation and data visualisation * To contribute toabstracts and manuscripts as required * Maintaining and increasingtechnical knowledge in relevant fields through self-study,observation, attending relevant conferences and training courses. *Maintaining accurate records of all work by completingdocumentation on time, following Company procedures * Operating inaccordance with the Company's Health and Safety policies. SPECIFICRESPONSIBILITIES * Data analysis: independently testing and,increasingly, leading lines of investigation. Proposing newanalyses based on emerging data and other related information.Providing support on technical aspects to others. * Priorities:establishing priorities for own work and team-based projects;making decisions on prioritisation based on the overall goals ofthe team, department and project, using direct evidence andpersonal experience as guidance. * Technical Knowledge: sharingknowledge with the wider team and, across departments representingthe department both internally and externally. May also act as amentor or manager to other colleagues, especially new hires,sharing scientific and company knowledge. Increasingly providinganalysis of new techniques and theories from outside the Company toadvance the way the company works; sharing these with leadersacross the Company. * Record keeping: ensuring that all records andinformation are up to date, on time and recorded to the correctstandard. Supporting and encouraging others to achieve this. *Equipment: providing technical guidance to others within the teamon how to use equipment most effectively; making recommendationsregarding acquisition of new pieces of equipment. * Health &Safety: championing and helping others to understand H&S withinthe company, providing ad-hoc training as required. * Reporting:communicating and presenting research findings at meetings withcolleagues, senior management and partners. PERSON SPECIFICATIONEXPERIENCE AND KNOWLEDGE Essential * Will be proficient inR/BioConductor, Linux OS and shell scripting bash. Provenprogramming ability (Knowledge of at least one language, preferablyPython). * Understanding of molecular biology, cell biology,immunology or related discipline. * Significant experience ofindependent research in academic or industrial setting, ortransferable skills gained from professional experience * Proposedand driven changes in working practices that have improvedefficiency, supported teams through adoption and change. *Presented detailed scientific findings and papers to internal andexternal audiences * Recorded results in a concise and timely way,and in compliance with agreed standards * Experience of buildingnext generation sequencing (NGS) analytical pipelines DesirableLed a project small team, formally or informally, including projectmanagement * May have experience of developing databases, using SQLor similar, and pairing with a user-friendly interface * Mentoredand coached less experienced colleagues in scientific practices andtheory. * May have knowledge of machine learning, appliedstatistics or related field EDUCATION & QUALIFICATIONS * PhD ina scientific discipline with a minimum of 2-5 years of relevantexperience (post-doctoral experience may be included) - preferred.MSc degree or BSc degree with equivalent research or industrialexperience specific to the role - required.

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.

How Many AI Tools Do You Need to Know to Get an AI Job?

If you are job hunting in AI right now it can feel like you are drowning in tools. Every week there is a new framework, a new “must-learn” platform or a new productivity app that everyone on LinkedIn seems to be using. The result is predictable: job seekers panic-learn a long list of tools without actually getting better at delivering outcomes. Here is the truth most hiring managers will quietly agree with. They do not hire you because you know 27 tools. They hire you because you can solve a problem, communicate trade-offs, ship something reliable and improve it with feedback. Tools matter, but only in service of outcomes. So how many AI tools do you actually need to know? For most AI job seekers: fewer than you think. You need a tight core toolkit plus a role-specific layer. Everything else is optional. This guide breaks it down clearly, gives you a simple framework to choose what to learn and shows you how to present your toolset on your CV, portfolio and interviews.

What Hiring Managers Look for First in AI Job Applications (UK Guide)

Hiring managers do not start by reading your CV line-by-line. They scan for signals. In AI roles especially, they are looking for proof that you can ship, learn fast, communicate clearly & work safely with data and systems. The best applications make those signals obvious in the first 10–20 seconds. This guide breaks down what hiring managers typically look for first in AI applications in the UK market, how to present it on your CV, LinkedIn & portfolio, and the most common reasons strong candidates get overlooked. Use it as a checklist to tighten your application before you click apply.

The Skills Gap in AI Jobs: What Universities Aren’t Teaching

Artificial intelligence is no longer a future concept. It is already reshaping how businesses operate, how decisions are made, and how entire industries compete. From finance and healthcare to retail, manufacturing, defence, and climate science, AI is embedded in critical systems across the UK economy. Yet despite unprecedented demand for AI talent, employers continue to report severe recruitment challenges. Vacancies remain open for months. Salaries rise year on year. Candidates with impressive academic credentials often fail technical interviews. At the heart of this disconnect lies a growing and uncomfortable truth: Universities are not fully preparing graduates for real-world AI jobs. This article explores the AI skills gap in depth—what is missing from many university programmes, why the gap persists, what employers actually want, and how jobseekers can bridge the divide to build a successful career in artificial intelligence.