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Barrington James

Molecular Cloning & Protein Engineering Scientist

London
Posted about 16 hours ago
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You will be responsible for engineering and building therapeutic constructs. This is a hands-on, high throughput role where you will design, build and iterate on novel CRISPR-Based constructs that enable a programmable, target-selective approach across multiple oncology indications. Your work will directly shape the therapeutic candidates that enter preclinical development.

Responsibilities

  • Design, engineer, and optimize Cas-based therapeutic constructs, including conditional and programmable protein architectures.
  • Engineer proteins for enhanced specificity, activity, and control using rational design, structure-guided engineering, and directed evolution.
  • Expand the modularity of the platform by developing constructs targeting additional disease-relevant genes.
  • Design, clone, and validate guide RNA libraries for specificity and off-target profiling assays (e.g., ONE-seq, CHANGE-seq, or related technologies).
  • Design, execute, and analyze rapid design-build-test cycles to improve construct performance.
  • Collaborate across molecular biology, protein engineering, computational biology, and translational research teams to advance therapeutic programs.

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I’m in my final year doing Economics and I don’t know whether to apply for grad schemes now or do a masters first. What do you think?

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Graduate Consultant — 2026 Scheme

PwC·London, UK
£35,000/yr

Why you're a good match

Strong

Your economics background and your summer at a regional bank line up with what PwC looks for on the consulting scheme. Applications close in four weeks.

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Why you're a good match

You’ve got the grades and the economics background, and your bank internship is exactly the experience this scheme looks for. Apply soon — deadlines close within the month.

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Experience fit

Your summer at the bank plus your econometrics coursework map directly to the day-one responsibilities on this scheme — client modelling, market briefings, and deal support.

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Required Qualifications

  • PhD in Synthetic Biology
  • At least 5 years of hands-on experience in molecular cloning using techniques such as Gibson Assembly, Golden Gate Assembly, and Gateway cloning.
  • At least 5 years experience of Protein engineering (engineered the function, not just been apart)
  • Extensive experience designing and engineering CRISPR/Cas constructs that enable a programmable, target-selective approach across multiple oncology indications, including development of novel protein functions through directed evolution or rational engineering.
  • Strong expertise in mammalian and bacterial expression vector design, construct optimization, and stable cell line generation.
  • Demonstrated ability to independently execute rapid iterative construct design and optimization.
  • Experience developing and utilizing fluorescent and/or luminescent reporter assay systems.
  • Strong structural biology and wet-lab expertise, with experience applying structural insights to protein engineering challenges.
  • Demonstrated ownership of engineering protein function, rather than solely supporting execution of established workflows.
  • Computational experience supporting protein or CRISPR engineering, including sequence analysis, structural modeling, guide RNA design, scripting, or bioinformatics.

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Preferred Qualifications

  • Experience with inducible or conditional protein systems.
  • Familiarity with base editing, prime editing, or other next-generation genome editing technologies.
  • Experience with NGS library preparation and sequencing-based screening workflows.
  • Background in structural biology, protein biochemistry, or computational protein engineering.
  • Experience working in fast-paced biotechnology or therapeutic discovery environments.
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Skills

Molecular Cloning
Protein Engineering
CRISPR
Therapeutic Constructs
Guide RNA Design
Construct Optimization
Directed Evolution
Structural Biology
Bioinformatics
Fluorescent Assays
Luminescent Assays
Mammalian Expression
Bacterial Expression
NGS Library Preparation
Computational Biology

Location

London, England, United Kingdom

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