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

Apply Now

Postdoctoral Researcher: Data Science & Epigenetic Epidemiology

Haematological Malignancy Research Network
Edinburgh
6 days ago
Create job alert

A leading health research organization based in Scotland is seeking a Postdoctoral Researcher in Data Science/Molecular Epidemiology. This full-time role involves analyzing DNA methylation data and developing epigenetic signatures related to healthy ageing. Candidates should have a PhD in a related field and strong analytical skills. The position offers a salary of £41,064 to £48,822 per annum and is office-based for a minimum of 3 days a week.
#J-18808-Ljbffr

Related Jobs

View all jobs

Research Fellow in Data Science

Research Fellow in Data Science

Research Fellow in Data Science

13090 - Research Fellow in Data Science

Postdoc: Data Science & Epigenetics for Healthy Ageing

Postdoctoral Researcher in Artificial Intelligence for Robust Clinical Prediction Modelling

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.