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

Nominate & Attend

Research Associate (Data Science) (Fixed Term)

University of Cambridge
Cambridgeshire
1 week 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 (Statistician)

Research Associate in Statistics / Epidemiology/ Health Data Science

Research Associate in AI and Data Science (Fixed term for 2 years)

Research Associate (Data Science) (Fixed Term)

SENIOR RESEARCH ASSOCIATE (DATA SCIENCE) (LONDON)

SENIOR RESEARCH ASSOCIATE (DATA SCIENCE) (LONDON)

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.

Data Science Jobs UK 2025: 50 Companies Hiring Now

Bookmark this guide—refreshed every quarter—so you always know who’s really expanding their data‑science teams. Budgets for predictive analytics, GenAI pilots & real‑time decision engines keep climbing in 2025. The UK’s National AI Strategy, tax relief for R&D & a sharp rise in cloud adoption mean employers need applied scientists, ML engineers, experiment designers, causal‑inference specialists & analytics leaders—right now. Below you’ll find 50 organisations that have advertised UK‑based data‑science vacancies or announced head‑count growth during the past eight weeks. They’re grouped into five quick‑scan categories so you can jump straight to the kind of employer—& culture—that suits you. For every company you’ll see: Main UK hub Example live or recent vacancy Why it’s worth a look (tech stack, mission, culture) Search any employer on DataScience‑Jobs.co.uk to view current ads, or set up a free alert so fresh openings land straight in your inbox.

Return-to-Work Pathways: Relaunch Your Data Science Career with Returnships, Flexible & Hybrid Roles

Returning to work after an extended break can feel like stepping into a whole new world—especially in a dynamic field like data science. Whether you paused your career for parenting, caring responsibilities or another life chapter, the UK’s data science sector now offers a variety of return-to-work pathways. From structured returnships to flexible and hybrid roles, these programmes recognise the transferable skills and resilience you’ve gained and provide mentorship, upskilling and supportive networks to ease your transition back. In this guide, you’ll discover how to: Understand the current demand for data science talent in the UK Leverage your organisational, communication and analytical skills in data science roles Overcome common re-entry challenges with practical solutions Refresh your technical knowledge through targeted learning Access returnship and re-entry programmes tailored to data science Find roles that fit around family commitments—whether flexible, hybrid or full-time Balance your career relaunch with caring responsibilities Master applications, interviews and networking specific to data science Learn from inspiring returner success stories Get answers to common questions in our FAQ section Whether you aim to return as a data analyst, machine learning engineer, data visualisation specialist or data science manager, this article will map out the steps and resources you need to reignite your data science career.

LinkedIn Profile Checklist for Data Science Jobs: 10 Tweaks to Elevate Recruiter Engagement

Data science recruiters often sift through dozens of profiles to find candidates skilled in Python, machine learning, statistical modelling and data visualisation—sometimes before roles even open. A generic LinkedIn profile won’t suffice in this data-driven era. This step-by-step LinkedIn for data science jobs checklist outlines ten targeted tweaks to elevate recruiter engagement. Whether you’re an aspiring junior data scientist, a specialist in MLOps, or a seasoned analytics leader, these optimisations will sharpen your profile’s search relevance and demonstrate your analytical impact.