Research Associate (Fixed Term)

We are seeking an ambitious and motivated Post-Doctoral Research Associate to join a dynamic new interdisciplinary team exploring the mechanisms that shape long-term health and neurodevelopmental outcomes in children. This is a unique opportunity to work at the intersection of data science, pregnancy and child health research, and translational impact, contributing to studies that will inform global understanding and policy.

The successful candidate will play a central role in leveraging data from our established birth and neonatal cohorts, while also helping to design and implement innovative new longitudinal studies. This work will ensure our data resources remain internationally leading and maximise their value for future research.

You will work with rich, multi-dimensional datasets that integrate clinical, biological, environmental, and developmental information collected from pregnancy through early childhood. You will also help shape new studies by contributing to study design, metadata standards, and embedding principles of interoperability and reusability from the outset.

You will have a PhD in a relevant discipline (e.g. epidemiology, biostatistics, data science, child health, or a related field), strong analytical skills, and experience working with longitudinal or cohort data. A collaborative mindset and a passion for improving child health outcomes through data-driven research are essential.

Once an offer of employment has been accepted, the successful candidate will be required to undergo a health assessment. This appointment also requires a Research Passport application.

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

A statement of current and future research plans outlining your vision and priorities. Including your motivations for applying and how you meet the selection criteria.

A list of publications showcasing your contributions to the field.  A curriculum vitae detailing your professional experience and qualifications

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.

Closing date: 26th October 2025

Interview date: to be confirmed

For information about how your personal data is used as an applicant, please see the section on Applicant Data (https://www.hr.admin.cam.ac.uk/hr-staff/hr-data/applicant-data) on our HR web pages.

Please quote reference RI47536 on your application and in any correspondence about this vacancy.

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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