Academic ConnectBioinformatician (Fixed Term)
Bioinformatician (Fixed Term)
We are looking to appoint a Bioinformatician as part of the Prosperity Partnership which is a £3.4 million MRC grant that aims to understand the safety profile of nucleic acid-dependent therapeutics. It is a collaboration between the MRC Toxicology Unit and Department of Biochemistry at the University of Cambridge, AstraZeneca, Cancer Research UK Scotland Institute, and the Mary Lyon Centre at MRC Harwell.
The role holder will play a key part in the development of computational algorithms that are predictive of toxic nucleic acid-dependent therapeutics to inform the safe-by-design agenda. They will develop new methodologies to leverage multi-omic data sets to build machine learning / AI models, working closely with colleagues at AstraZeneca.
A degree in a scientific or computational discipline is required together with a postgraduate degree and/or experience in bioinformatics or computational biology. Experience in the following is essential: Machine learning; biological data preprocessing, curation, and pipeline development, integration of multi-modal biological datasets.
The post will be located at the MRC Toxicology Unit, Central Cambridge.
Informal inquiries are welcome and can be directed to Kiran Patil (kp533@mrc-tox.cam.ac.uk)
Fixed-term: The funds for this post are available for 4.5 years in the first instance.
Click the 'Apply' button below to register an account with our recruitment system (if you have not already) and apply online.
Further information about the Toxicology Unit can be found on our website: https://www.mrc-tox.cam.ac.uk
Please quote reference PU49139 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.
Key information
Department/location
Salary
£42,254-£56,535
Reference
PU49139
Category
Date published
23 March 2026
Closing date
20 April 2026
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