Research Associate (Data Science) (Fixed Term)

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 (https://www.data.cam.ac.uk/). 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:

To view more details about the role and person specification, please click on the Further Information link below.

Additional information:

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

Click the 'Apply' button above to register an account with our recruitment system and apply online.

Informal enquiries are welcomed and should be directed to:

Ulla Sovio at us253@medschl.cam.ac.uk or Gordon Smith at gcss2@cam.ac.uk.

If you have any queries regarding the application process, please contact: clusterHR@medschl.cam.ac.uk

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.

To apply online for this vacancy and to view further information about the role, please click 'Apply' above.

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.

Please ensure that you upload a covering letter and CV in the Upload section of the online application. The covering letter should outline how you match the criteria for the post and why you are applying for this role. If you upload any additional documents which have not been requested, we will not be able to consider these as part of your application.

Please include details of your referees, including email address and phone number, one of which must be your most recent line manager.

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.

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