Research Associate (Fixed Term)

The MRC Biostatistics Unit is one of Europe's leading biostatistics research institutions. Our focus is to deliver new analytical and computational strategies based on sound statistical principles for the challenging tasks facing biomedicine and public health. 

We are seeking a Research Associate to join Professor Paul Kirk's group within the Biostatistical Machine Learning research theme. The post is funded by the Wellcome Leap In Utero programme, and aims to develop predictive models and identify biomarkers for pregnancy complications. 

The successful candidate will develop and apply statistical and computational methods for the analysis of biomedical data from multiple sources, including proteomics, clinical measurements, and ultrasound imaging, working with diverse international cohorts. The role requires strong programming skills in R and experience with reproducible research practices. 

This is an exciting opportunity to contribute to research with direct translational potential for improving maternal and fetal health outcomes globally. 

The Unit is situated on the Cambridge Biomedical Campus, one of the world's most vibrant centres of biomedical research, which includes the University of Cambridge's Clinical School, two major hospitals, the MRC Laboratory of Molecular Biology, and the world headquarters of Astra Zeneca. 

The Unit is actively seeking to increase diversity among its staff, including promoting an equitable representation of men and women. The Unit therefore especially encourages applications from women, from minority ethnic groups and from those with non-standard career paths. Appointment will be made on merit. 

The Biostatistics Unit is committed to supporting hybrid working for all staff, but we do expect that staff will work from the office on a regular basis to help integration and to build our fantastic scientific community. Working entirely from the office is possible. 

We welcome applications from those wishing to work part-time.

Closing date for applications is: 1st January 2026

Fixed-term: The funds for this post are available for 2 months in the first instance. 

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 £34,610) 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.

Please quote reference SL48372 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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