Accelerating Enzyme Evolution for Chemical Development: Intelligent Navigation of the Sequence Space - 3 year fixed term contract

United Kingdom, Cambridge · Job Posted June 15, 2026

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Job Responsibility

On the experimental side: using a range of tools from chemical, molecular and synthetic biology to generate and screening large and diverse DNA libraries using ultrahigh-throughput technologies for the discovery novel enzymes for sustainable biocatalytic processes
On the computational side: unprecedented availability of sequence data (e.g. >6.5 billion ORFs in the database MGnify) and machine learning will provide systematic insights via in silico sequence interpretation using custom-made algorithms
The MetaExplore network will harness the diversity of nature and the power of machine learning and AI

Educated to a first (or upper second) class degree in Chemistry, Biochemistry or a related relevant subject
Familiarity with experimental molecular and chemical biology techniques such as recombinant protein expression and related molecular biology and protein engineering methods
A passion for biocatalysis and for applying new technologies
An interdisciplinary and collaborative research approach
Developing bibliography of research publications
Experience of leading your own work & research

Awareness of wider application of biocatalysis in pharma
Experience in DNA library preparation
Experience in assay development
Experience in high-throughput screening and analysis of large datasets
Experience in bioinformatics and especially AI/ML
Experience in next-generation sequencing
Experience in UPLC and SFC
Experience in microfluidics
Excellent communication skills across interfaces of subject area and expertise, both internally and externally