Posted on 
Aug 1

Synthetic Biologist

As a Synthetic Biologist you will use your experience of molecular biology and directed evolution to generate enzymes with improved characteristics. This process is supported by leading edge computational design and determined in part by the commercial and process development teams, thus feeding into commercially viable and scalable enzymatic bioprocesses. You will use cutting edge techniques and state-of-the-art equipment in order to generate improved clones in a minimal timeframe.

You will be involved in activities such as:
- Mutant library generation and QC via 3rd generation sequencing or complementary techniques.
- Continual optimisation of methods and workflows.
- Use of high throughput screens for identification of improved mutants.
- Transfer of manual processes to high-end automation platforms and integrated workflows.
- Work together with other members of the Enzyme Engineering team as well as other R&D teams including computational biologists, strain engineers and process engineers.
- Help to build-out new experimental facilities in the laboratory to enable rapid generation and testing of enzymes.

We would like to hear from you if you have:
- Strong technical background in molecular biology.
- PhD in synthetic biology, biological engineering, or similar field.
- Min. 2-3 years relevant industry/academic experience.
- Practical knowledge of directed evolution techniques.
- Experience of performing enzyme activity assays in addition to assay development.
- Experience in recombinant protein expression and purification.
- Experience working with multiple host organisms such as Gram +/-ve bacteria and yeast.
- Ability to work independently and as part of a team, working across multiple projects/experiments simultaneously.

Cherries on the cake would be:
- Demonstrated background in biochemistry and enzyme catalysis.
- Experience of high yield protein production and secretion systems .
- Experience in biotechnology and fermentation.
- Experience developing automation scripts/workflows .
- Experience of in silico modelling.
- Experience of high-volume sequence data analysis, genome annotation or similar bioinformatic skills.

Description

As a Synthetic Biologist you will use your experience of molecular biology and directed evolution to generate enzymes with improved characteristics. This process is supported by leading edge computational design and determined in part by the commercial and process development teams, thus feeding into commercially viable and scalable enzymatic bioprocesses. You will use cutting edge techniques and state-of-the-art equipment in order to generate improved clones in a minimal timeframe.

You will be involved in activities such as:
- Mutant library generation and QC via 3rd generation sequencing or complementary techniques.
- Continual optimisation of methods and workflows.
- Use of high throughput screens for identification of improved mutants.
- Transfer of manual processes to high-end automation platforms and integrated workflows.
- Work together with other members of the Enzyme Engineering team as well as other R&D teams including computational biologists, strain engineers and process engineers.
- Help to build-out new experimental facilities in the laboratory to enable rapid generation and testing of enzymes.

We would like to hear from you if you have:
- Strong technical background in molecular biology.
- PhD in synthetic biology, biological engineering, or similar field.
- Min. 2-3 years relevant industry/academic experience.
- Practical knowledge of directed evolution techniques.
- Experience of performing enzyme activity assays in addition to assay development.
- Experience in recombinant protein expression and purification.
- Experience working with multiple host organisms such as Gram +/-ve bacteria and yeast.
- Ability to work independently and as part of a team, working across multiple projects/experiments simultaneously.

Cherries on the cake would be:
- Demonstrated background in biochemistry and enzyme catalysis.
- Experience of high yield protein production and secretion systems .
- Experience in biotechnology and fermentation.
- Experience developing automation scripts/workflows .
- Experience of in silico modelling.
- Experience of high-volume sequence data analysis, genome annotation or similar bioinformatic skills.

Responsibilities

Requirements

Offer

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