Bioinformatician (Fixed Term)
CompanyUniversity of Cambridge
Location
Cambridge, England, United Kingdom
Employment TypeFull-time
Posted At4/16/2026
UK Visa Sponsorship Analytics
Occupation TypeActuaries, economists and statisticians
Occupation Code Skill LevelHigher Skilled
Sponsorship Salary Threshold
£55,100
(£28.26 per hour)
Occupation rate applies
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Description
A Bioinformatician position is available in the Waller Laboratory to work on a Gordon and Betty Moore Foundation - funded project pursuing a mechanistic understanding of the process of endosymbiosis using dinoflagellate algae as models.
The position is to analyse existing quantitative RNA-seq and proteomics data with the aims of examining the correlations between transcript and protein levels, and the regulatory networks in these symbiotic partnerships using Weighted Gene Co-expression Networks (WGCNS) analysis.
The successful candidate will have proficiency in either Python or R languages. Experience with differential expression analysis is desired, as is experience with non-model organisms and phylogenetics. Ability to work both as part of a team, and independently, coupled with excellent communication, organizational and problem-solving skills are required.
Fixed-term: The funds for this post are available from 1st April 2026 until 31st March 2027, 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.
For informal enquiries, please contact Professor Ross Waller via rfw26@cam.ac.uk
For queries regarding the application process, please contact the Biochemistry HR Team via: personnel@bioc.cam.ac.uk
Please quote reference PH49145 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.
The position is to analyse existing quantitative RNA-seq and proteomics data with the aims of examining the correlations between transcript and protein levels, and the regulatory networks in these symbiotic partnerships using Weighted Gene Co-expression Networks (WGCNS) analysis.
The successful candidate will have proficiency in either Python or R languages. Experience with differential expression analysis is desired, as is experience with non-model organisms and phylogenetics. Ability to work both as part of a team, and independently, coupled with excellent communication, organizational and problem-solving skills are required.
Fixed-term: The funds for this post are available from 1st April 2026 until 31st March 2027, 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.
For informal enquiries, please contact Professor Ross Waller via rfw26@cam.ac.uk
For queries regarding the application process, please contact the Biochemistry HR Team via: personnel@bioc.cam.ac.uk
Please quote reference PH49145 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.