Research Associate (Data Science) (Fixed Term)

University of Cambridge

Cambridge

1 month ago

Create job alert

The Department of Obstetrics & Gynaecology at the University of Cambridge is seeking a Research Associate in Data Science to develop, maintain and analyse databases related to pregnancy studies.

About Obstetrics & Gynaecology:

The department carries out research and education at the highest international standards of excellence. A substantial proportion of the work in the department aims to develop novel methods to identify women at high risk of pregnancy complications. This programme of work has driven two prospective cohort studies: POPS (4,512 women) and POPS2 (aims to recruit 5,500 women, currently at ~85% of target). Both studies include large scale collection of data and biological samples, the latter >500,000 aliquots across the two cohorts.

Key responsibilities:

The successful role holder will develop and maintain the databases related to the Pregnancy Outcome Prediction (POP) Studies, and provide support for teams using the data and biological samples. The role will involve good data management practice, especially in terms of data robustness and security (). For interested candidates, there will also be the opportunity to participate in primary research.

Why join us?

You will be contributing to clinically important research as part of a multidisciplinary team. Obstetrics and Gynaecology is a small department providing a friendly working environment that prioritises professional development, equality and diversity and wellbeing of employees. You will also have an opportunity to join the vibrant community of Data Champions at the University, which will help you to learn and enhance current practices in data management within the POP studies.

Application process:

Additional information:

Fixed term: This post is funded until 30 November 2027.

Informal enquiries are welcomed and should be directed to:
Ulla Sovio at or Gordon Smith at .

The closing date for applications is: 28 July 2025
The interviews for the role are anticipated to take place on the week beginning: TBC

This appointment requires a Research Passport application.

Applicants must have (or be close to obtaining) a PhD.

Appointment at Research Associate level is dependent on having a PhD. Those who have submitted but not yet received their PhD will initially be appointed as a Research Assistant (Grade 5, Point 38 £34,132) moving to Research Associate (Grade 7) upon confirmation of your PhD award.

The University actively supports equality, diversity and inclusion and encourages applications from all sections of society.

The University has a responsibility to ensure that all employees are eligible to live and work in the UK.

Related Jobs

View all jobs

Research Associate in Computer Vision and Explainable AI

Research Associate or Research Fellow In Machine Learning (3 Posts Available)

Research Associate in Heath Data Science

Research Associate in Data Science (2 posts)

Research Associate - Enabling CO2 Storage Using Artificial Intelligence

Research Associate in Machine Learning and Information Theory

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

Jul 21, 2025

Careers Jobs

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.

Jul 18, 2025

Jobs Careers

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.

Jul 14, 2025

Jobs

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.