National AI Awards 2025Discover AI's trailblazers! Join us to celebrate innovation and nominate industry leaders.

Nominate & Attend

Research Associate in Genetic and Molecular Epidemiology

Imperial College London
London
9 months ago
Applications closed

Related Jobs

View all jobs

Research Associate in Heath Data Science

Research Associate in Computer Vision and Explainable AI

Research Associate in Machine Learning and Information Theory

Research Associate in Computer Vision

Research Assistant OR Research Associate in Machine Learning for Robotics

Research Assistant OR Research Associate in Machine Learning for Robotics

This is an exciting opportunity for an enthusiastic post-doctoral researcher with experience in genetic and/or molecular epidemiology to work on a Cancer Research UK-funded 3-year project to identify molecular mechanisms linking adiposity to pancreatic cancer risk.

You will apply genetic epidemiological (. Mendelian randomization, colocalization) and conventional observational approaches to understand key molecular intermediates (. circulating proteins, single-cell gene expression, tumour molecular characteristics) linking excess adiposity to pancreatic cancer risk across diverse cohort studies.

You will be based at the School of Public Health at Imperial College London but will also work with a broader team of researchers based at the Universities of Bristol and Oxford and the International Agency for Research on Cancer (IARC). This post also provides the opportunity to conduct a research visit at IARC in Lyon, France. You will be expected to manage research projects and to work both independently and collaboratively with an international research team. You are also expected to have evidence of excellent writing skills and including authorship of peer-reviewed journals. While we expect your work to be primarily focused on this project, we will support you to develop your own research ideas and will aim to support your progression as an independent researcher.

If desired and with suitable arrangements in place, it is possible to fulfil part of the role remotely.


You will responsible for taking the initiative in planning and conducting all analyses for this project under the supervision of your line manager and with regular contact with other collaborators on this project.You will be expected to present findings to colleagues internally, along with submitting findings to conferences and to peer-reviewed journals.You will also have the opportunity to contribute to the supervision of postgraduate students and undergraduate research projects
Hold a PhD in Epidemiology, Data Science, Medical Statistics or a closely related discipline. You will also be expected to have experience of statistical analysis of big data and/or health data and to have a record of prior publications in peer-reviewed journals.Though not expected, it is highly desirable that the candidate has prior experience using genetic and/or molecular epidemiological methods and strong coding skills

This is a full time and fixed term (3 years) role based at the White City Campus.

Informal enquiries regarding the post can be sent to Dr James Yarmolinsky

*Candidates who have not yet been officially awarded their PhD will be appointed as a Research Assistant within the salary range £41,694 - £44,888 per annum. 

Hybrid working may be considered for this role. Staff working in roles that are suitable for hybrid working will normally be expected to work 60% of their time onsite. The opportunity for hybrid working will be discussed at interview.

More information is available on the following web page:

National AI Awards 2025

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.

10 AI Recruitment Agencies in the UK You Should Know (2025 Job‑Seeker Guide)

Generative‑AI hype has translated into real hiring: Lightcast recorded +57 % year‑on‑year growth in UK adverts mentioning “machine learning”, “LLM” or “gen‑AI” during Q1 2025. Yet supply still lags. Roughly 18,000 core AI professionals work in the UK, but monthly live vacancies hover around 1,400–1,600. That mismatch makes specialist recruiters invaluable—opening stealth vacancies, advising on salary bands and fast‑tracking interview loops. But many tech agencies sprinkle “AI” on their website without an active desk. To save you time, we vetted 50 + consultancies and kept only those with: A registered UK head office (verified via Companies House). A named AI/Machine‑Learning or Data practice.

AI Jobs Skills Radar 2026: Emerging Frameworks, Languages & Tools to Learn Now

As the UK’s AI sector accelerates towards a £1 trillion tech economy, the job landscape is rapidly evolving. Whether you’re an aspiring AI engineer, a machine learning specialist, or a data-driven software developer, staying ahead of the curve means more than just brushing up on Python. You’ll need to master a new generation of frameworks, languages, and tools shaping the future of artificial intelligence. Welcome to the AI Jobs Skills Radar 2026—your definitive guide to the emerging AI tech stack that employers will be looking for in the next 12–24 months. Updated annually for accuracy and relevance, this guide breaks down the top tools, frameworks, platforms, and programming languages powering the UK’s most in-demand AI careers.

How to Find Hidden AI Jobs in the UK Using Professional Bodies like BCS, IET & the Turing Society

Stop Scrolling Job Boards and Start Tapping the Real AI Market Every week a new headline announces millions of pounds flowing into artificial-intelligence research, defence initiatives, or health-tech pilots. Read the news and you could be forgiven for thinking that AI vacancies must be everywhere—just grab your laptop, open LinkedIn, and pick a role. Yet anyone who has hunted seriously for an AI job in the United Kingdom knows the truth is messier. A large percentage of worthwhile AI positions—especially specialist or senior posts—never appear on public boards. They emerge inside university–industry consortia, defence labs, NHS data-science teams, climate-tech start-ups, and venture studios. Most are filled through referral or conversation long before a recruiter drafts a formal advert. If you wait for a vacancy link, you are already at the back of the queue. The surest way to beat that dynamic is to embed yourself in the professional bodies and grassroots communities where the work is conceived. The UK has a dense network of such organisations: the Chartered Institute for IT (BCS); the Institution of Engineering and Technology (IET) with its Artificial Intelligence Technical Network; the Alan Turing Institute and its student-driven Turing Society; the Royal Statistical Society (RSS); the Institution of Mechanical Engineers (IMechE) and its Mechatronics, Informatics & Control Group; public-funding engines like UK Research and Innovation (UKRI); and an ecosystem of Slack channels and Meetup groups that trade genuine, timely intel. This article is a practical, step-by-step guide to using those networks. You will learn: Why professional bodies matter more than algorithmic job boards Exactly which special-interest groups (SIGs) and technical networks to join How to turn CPD events into informal interviews How to monitor grant databases so you hear about posts months before they exist Concrete scripts, portfolio tactics, and outreach rhythms that convert visibility into offers Follow the playbook and you move from passive applicant to insider—the colleague who hears about a role before it is written down.