Research Assistant/Research Fellow in Cancer Epidemiology / Data Science

UCL Eastman Dental Institute
London
2 weeks ago
Applications closed

Related Jobs

View all jobs

Research Fellow (Bioinformatics) - Institute of Microbiology and Infection - 104050 - Grade 7

203821 - Pharmacy Technician Specialist – Lead Technician (Regional Formulary Development)

Postdoctoral Research Assistant in Statistical Genomics

Assistant Manager - Pricing

Lead Data Scientist - UK 12 Month FTC

AI Scientist

About the role

The post holder will work closely with members of the ECHO Group to define, curate and analyse healthcare data of relevance to diagnostic and treatment care pathways and outcomes for cancer patients. Within a range of analytical projects that require statistical analysis or data science leadership, the post-holder will be defining new answerable research questions in synergy with the overall post objectives and programmatic commitments, including risk stratification and understanding variations in intervals and pathways to the diagnosis of cancer.

Application Details

This is an open-ended contract with fixed-term funding until 31st of December in the first instance. Appointment at Grade 7 is dependent on award and confirmation of a PhD (or equivalent). If this is not the case, initial appointment will be at Research Assistant Grade 6B, point 28 (salary £41, per annum inclusive of London allowance) with payment at Grade 7 being backdated to the date of final submission of the PhD thesis. This appointment is subject to UCL Terms and Conditions of Service for Research and Professional Services Staff. Please visit for more information. This role meets the eligibility requirements for a skilled worker certificate of sponsorship or a global talent visa under UK Visas and Immigration legislation. Therefore, UCL welcomes applications from international applicants who require a visa.

Application Process 

A full job description and person specification can be accessed at the bottom of this page. Please use the personal statement section to explain how you meet each of the essential and desirable criteria outlined in the person specification.

Contact Details 

If you have any queries regarding the vacancy or the application process, please contact DrMeena Rafiq () or Prof Georgios Lyratzopoulos () If you need reasonable adjustments or a more accessible format to apply for this job online or have any queries about the application process, please contact 

About you

Experience of prior healthcare epidemiology / data analysis work in academic research departments or service environments ( NHS Digital, CPRD, Public Health England), or relevant sectors of the health industry is desirable, particularly regarding the use of person-level electronic health records and administrative population-based data. Applicants must have relevant work experience and be competent in using command-line interface statistical software. Inquiries from interested applicants are encouraged.

What we offer

As well as the exciting opportunities this role presents we also offer some great benefits some of which are below:

41 Days holiday (27 days annual leave 8 bank holiday and 6 closure days) Additional 5 days’ annual leave purchase scheme Defined benefit career average revalued earnings pension scheme (CARE) Cycle to work scheme and season ticket loan Immigration loan and expenses Relocation scheme for certain posts On-Site nursery On-site gym Enhanced maternity, paternity and adoption pay Employee assistance programme: Staff Support Service Discounted medical insurance

Get the latest insights and jobs direct. Sign up for our newsletter.

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 Non‑Technical Professionals: Where Do You Fit In?

Your Seat at the AI Table Artificial Intelligence (AI) has left the lab and entered boardrooms, high‑street banks, hospitals and marketing agencies across the United Kingdom. Yet a stubborn myth lingers: “AI careers are only for coders and PhDs.” If you can’t write TensorFlow, surely you have no place in the conversation—right? Wrong. According to PwC’s UK AI Jobs Barometer 2024, vacancies mentioning AI rose 61 % year‑on‑year, but only 35 % of those adverts required advanced programming skills (pwc.co.uk). The Department for Culture, Media & Sport (DCMS) likewise reports that Britain’s fastest‑growing AI employers are “actively recruiting non‑technical talent to scale responsibly” (gov.uk). Put simply, the nation needs communicators, strategists, ethicists, marketers and project leaders every bit as urgently as it needs machine‑learning engineers. This 2,500‑word guide shows where you fit in—and how to land an AI role without touching a line of Python.

ElevenLabs AI Jobs in 2025: Your Complete UK Guide to Crafting Human‑Level Voice Technology

"Make any voice sound infinitely human." That tagline catapulted ElevenLabs from hack‑day prototype to unicorn‑status voice‑AI platform in under three years. The London‑ and New York‑based start‑up’s text‑to‑speech, dubbing and voice‑cloning APIs now serve publishers, film studios, ed‑tech giants and accessibility apps across 45 languages. After an $80 m Series B round in January 2024—which pushed valuation above $1 bn—ElevenLabs is scaling fast, doubling revenue every quarter and hiring aggressively. If you’re an ML engineer who dreams in spectrograms, an audio‑DSP wizard or a product storyteller who can translate jargon into creative workflows, this guide explains how to land an ElevenLabs AI job in 2025.

AI vs. Data Science vs. Machine Learning Jobs: Which Path Should You Choose?

In recent years, the fields of Artificial Intelligence (AI), Data Science, and Machine Learning (ML) have experienced explosive growth. Spurred by the increase in data availability, advances in computing power, and the demand for intelligent decision-making, organisations of all sizes are investing heavily in these areas. If you’ve been exploring AI jobs on www.artificialintelligencejobs.co.uk, you’ve likely noticed that employers use terms like “AI,” “Data Science,” and “Machine Learning”—often interchangeably. While they are closely related, there are nuanced differences between these fields. Understanding these distinctions is key if you’re trying to decide which path suits you best. This comprehensive guide will help you differentiate among AI, Data Science, and Machine Learning. We will discuss the key skills for each, typical job roles, salary ranges, and provide real-world examples of professionals working in these fields. By the end, you should have a clearer idea of where your strengths and passions might fit, helping you take the next step towards securing your ideal role in the world of data-driven innovation.