Careers

Evoralis, a spin-out from the University of Cambridge, is on a mission to enable the textile industry to become truly sustainable and circular. We use an ultra-fast screening platform to develop enzymes for breaking down mixed and blended textile fibres into their constituent building blocks for the production of virgin-grade textile fibres.​

 

In order to further accelerate the discovery and evolution of our enzymes, we are looking for a dedicated Bioinformatician to play a pivotal role in our ultrahigh-throughput workflows, from experimental design to analysis. You will be responsible for integrating modern computational methods with our revolutionary & cutting-edge wet-lab approaches.

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Key responsibilities:

• Use computational methods to analyse biological data for protein design, discovery and optimization

• Experience in Protein Design & Protein Data mining

• Manage large databases & develop data frameworks

• Analyse, manage and organise large datasets generated from various protein engineering campaigns

• Develop and integrate data science, automation, AI and machine-learning approaches in protein discovery and optimisation

• Automate the capture, organisation and analysis of experimental data generated in the lab

• Experience in using common data analysis packages and bioinformatics tools, such as sequence alignment tools

• Experience with Linux environments and version control (git)

• Good knowledge of R and/or Python

• Work with Scientists from different fields as Protein Engineering, Biology, Biochemistry and Chemistry

• Maintain good written records of computational work and framework

 

Desired skills, qualifications and experience:

• We encourage individuals to apply who have just completed their PhD, looking to transition to industry and work in a dynamic fast paced environment

• A Master's or Ph.D degree in Computational Biology, Bioinformatics, Molecular Biology, or similar discipline, and a minimum of 4 years of related experience working with genomics data - Industry or academia

• Record of scientific publications and/or contribution to the scientific community in the bioinformatics field

• Demonstrated ability to collaborate closely with Scientists across R&D

• The drive to work both independently and collaboratively, employing strong organisational skills and attention to detail

• Good written & verbal communication skills

 

Our ideal candidate has/Desirable skills, qualifications and experience:

• Experience with DNA or RNA library design

• Experience in analysing next-generation sequencing data

• Communicate outcomes effectively internally and externally

 

Why Evoralis?

• Be part of the solution, making plastics and textiles truly sustainable and circular

• Collaborate with experts from diverse fields with unique perspectives

• Enjoy the opportunity for genuine innovation

• Get in on the ground of a pioneering start-up aiming to revolutionise plastic recycling

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Please apply via Linkedin or email HR@evoralis.com

Applications will be closed on 4th January 2026.