Be at the heart of actionFly remote-controlled drones into enemy territory to gather vital information.

Apply Now

Postdoctoral Training Fellow - Bioinformatics

The Institute of Cancer Research
Sutton
8 months ago
Applications closed

Related Jobs

View all jobs

Research Fellow in Data Science and Analytical Chemistry

Faculty Fellowship Programme Data Science (January 2026)

Senior Genomic Data Scientist (we have office locations in Cambridge, Leeds & London)

Research Scientist (Machine Learning), London

Postdoctoral Researcher in Artificial Intelligence for Robust Clinical Prediction Modelling

Postdoctoral Researcher in Artificial Intelligence for Robust Clinical Prediction Modelling

Professor Johann de Bono’s translational research team is seeking a talented Postdoctoral Training Fellow. The programme focuses on integrating multi-omic and clinical data, including single cell and spatial data as well as hyperplex immunocytochemical data, to help develop novel therapeutic strategies against cancer.

For general information on Post Doc's at The ICR can be found here.

Key Requirements

The successful candidate will be highly motivated and possess robust bioinformatic, scientific, and analytical skills, with a proactive approach to learning and applying new techniques, including artificial intelligence. Primary responsibilities will involve working with integrated datasets including clinical trial datasets comprising next-generation sequencing data and other applications relevant to the analysis of DNA and RNA sequencing, as well as protein assays. Familiarity with cancer genomics is desirable.

The ICR has a workforceagreement stating that Postdoctoral Training Fellows can only be employed for up to 7 years as PDTF at the ICR, providing total postdoctoral experience (including previous employment at this level elsewhere) does not exceed 10 years

Department/Directorate Information:

Professor Johann de Bono is a world leader in anticancer drug development, biomarker studies, and prostate cancer care. His team conducts biomarker-driven clinical and translational research to accelerate the development of novel cancer therapies and improve understanding of cancer biology, drug sensitivity and resistance. His team has driven major advances in cancer care through early and late stage trials, and he has led pivotal phase III trials of several prostate cancer drugs including abiraterone, cabazitaxel, enzalutamide, lutetium PSMA and olaparib. His team consists of basic, translational and clinical scientists, and is embedded in a vibrant world-class research environment.

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 Hiring Trends 2026: What to Watch Out For (For Job Seekers & Recruiters)

As we head into 2026, the AI hiring market in the UK is going through one of its biggest shake-ups yet. Economic conditions are still tight, some employers are cutting headcount, & AI itself is automating whole chunks of work. At the same time, demand for strong AI talent is still rising, salaries for in-demand skills remain high, & new roles are emerging around AI safety, governance & automation. Whether you are an AI job seeker planning your next move or a recruiter trying to build teams in a volatile market, understanding the key AI hiring trends for 2026 will help you stay ahead. This guide breaks down the most important trends to watch, what they mean in practice, & how to adapt – with practical actions for both candidates & hiring teams.

How to Write an AI CV that Beats ATS (UK examples)

Writing an AI CV for the UK market is about clarity, credibility, and alignment. Recruiters spend seconds scanning the top third of your CV, while Applicant Tracking Systems (ATS) check for relevant skills & recent impact. Your goal is to make both happy without gimmicks: plain structure, sharp evidence, and links that prove you can ship to production. This guide shows you exactly how to do that. You’ll get a clean CV anatomy, a phrase bank for measurable bullets, GitHub & portfolio tips, and three copy-ready UK examples (junior, mid, research). Paste the structure, replace the details, and tailor to each job ad.

AI Recruitment Trends 2025 (UK): What Job Seekers Must Know About Today’s Hiring Process

Summary: UK AI hiring has shifted from titles & puzzle rounds to skills, portfolios, evals, safety, governance & measurable business impact. This guide explains what’s changed, what to expect in interviews, and how to prepare—especially for LLM application, MLOps/platform, data science, AI product & safety roles. Who this is for: AI/ML engineers, LLM engineers, data scientists, MLOps/platform engineers, AI product managers, applied researchers & safety/governance specialists targeting roles in the UK.