MI/26/31 Principal Computational Biologist

Key Details

Job ID:
MI/26/31
Role:
Principal Computational Biologist
Salary:
£37,638 – £58,607 per annum, dependent upon experience
Closing date:
2nd August 2026

About the role

We are currently looking for a passionate and motivated Principal Computational Biologist to work collaboratively within the Computational Biology Team. The Computational Biology Team is closely linked to the core facilities within the CRUK Manchester Institute, which operate a wide range of advanced genomics technologies, including Illumina deep sequencing data, mass spectrometry, and advanced imaging.  The team is responsible for the experimental design, validation, pre-processing, analysis and interpretation of datasets generated by these core facilities and, most importantly, provides analysis services to the research groups within the Institute. The team work collaboratively to provide high-quality computational biology to support different groups’ research programmes and make use of a dedicated on-site High Performance Computing Facility managed by a separate Scientific Computing Team.

About you

You will have a background in Systems immunology/Computational Biology/Bioinformatics/Biostatistics (or related discipline) along with relevant experience in analysing immunological data sets. You will have excellent interpersonal skills with the ability to establish effective working relationships and build networks. You will have high levels of organisational and time management skills and the ability to prioritise and handle competing demands and work to deadlines with limited supervision. You should have a PhD in Systems Immunology, Bioinformatics, Computational Biology or Biostatistics OR a relevant postgraduate degree in Systems Immunology, Bioinformatics, Computational Biology or Biostatistics along with significant relevant experience in analysing large immunological data sets.

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Two computer screens displaying a variety of digital systems and content related to bioinformatics
Paterson Building Scientific Administration

More information

Sudhakar Sahoo

Sudhakar leads the CBS team and is a highly qualified computational biologist. He has expertise in algorithm development, computational modelling of biological systems, computational biology and bioinformatics analysis methods including single-cell and spatial multi-omics data analysis and integration, and multiplexed image analysis. These skills have proven invaluable for researchers designing experimental studies and uncovering complexity in cancer datasets.

Sudhakar not only leads the team but also trains new staff in data analysis and interpretation, preparing them to take on lead roles in projects. His training method enables staff members to quickly adapt to new environments and data analysis methods, resulting in the entire team providing seamless support to the researchers, allowing them to progress in their projects without hindrance. He has translated this one-to-one departmental training to an institute-wide scale.

Computational Biology Support

The Computational Biology Support team (CBS) provides bioinformatics support and collaborative data analysis solutions to researchers across the CRUK Manchester Institute. Our core activities reside at the interface between biology, computer science and statistics, particularly in the application of high-throughput omics technologies. The primary goal of the CBS team is to build and maintain an infrastructure that enables the application of advanced bioinformatics analysis to cutting-edge scientific research within CRUK MI.

About CRUK Manchester Institute

Our aim is to understand the fundamental basis of cancer and apply that knowledge to developing new treatment strategies for cancer patients. Our advanced research programmes span a spectrum of cancer research, from the molecular and cellular basis of cancer through to drug discovery, translational research and clinical trials. rnThe Institute has access to outstanding laboratory facilities and exceptional core services, including next generation sequencing, microarrays, confocal microscopy, bioinformatics, histology and mass-spectrometry.

Sudhakar Sahoo
Computational Biology Support
About CRUK Manchester Institute

How to apply

To apply for this position please complete the online application via ‘Apply Now’. Please ensure you detail the names of three referees and ensure you submit your application before the closing date specified.

For any informal enquiries about this post, please contact Sudhakar Sahoo: sudhakar.sahoo@cruk.manchester.ac.uk

Closing date:  02 August 2026, Sunday (British Summer Time).

Please note this vacancy will close for applications at 18:00 hours on the closing date specified.

Contact us for further information

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Why choose Cancer Research UK Manchester Institute?

The Cancer Research UK Manchester Institute, an Institute of The University of Manchester, is a world-leading centre for excellence in cancer research. The Institute is core funded by Cancer Research UK (www.cancerresearchuk.org),
the largest independent cancer research organisation in the world.

We are partnered with The Christie NHS Foundation Trust, one of the largest cancer treatment centres in Europe, which is located adjacent to the CRUK MI Manchester Institute in South Manchester. These factors combine to provide an exceptional environment in which to pursue basic, translational and clinical research programmes.

Careers that have a lasting impact on cancer research and patient care

We are always on the lookout for talented and motivated people to join us.  Whether your background is in biological or chemical sciences, mathematics or finance, computer science or logistics, use the links below to see roles across the Institute in our core facilities, operations teams, research groups, and studentships within our exceptional graduate programme.

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