AI-Driven Enzyme Engineer for PET Biorecycling

Newcastle University

Newcastle

On-site

GBP 42,000 - 51,000

Full time

6 days ago
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Benefits offered by this job

Generous holiday allowance
Pension schemes
Health and wellbeing initiatives

Job summary

Newcastle University is seeking a Research Associate or Senior Research Associate to manage a cutting-edge AI- and bioinformatics-augmented platform for PET degradation. You will integrate synthetic biology, enzyme engineering and data science to advance PETase, MHETase/BHETase, and PET-binding modules, coordinating with EBIC/ICOS teams and international collaborators.

The role involves scalable workflows, rigorous data capture and milestone-driven delivery, with opportunities for independent

Qualifications

  • PhD completed by appointment time; relevant biology/biotechnology field.
  • Substantial hands-on experience in synthetic biology and enzyme engineering.
  • Experience with DBTL workflows and high‑throughput screening.
  • Ability to develop robust, reproducible experimental workflows with good records.

Responsibilities

  • Steer end-to-end PETase discovery workflow from sequence to enzyme performance.
  • Apply bioinformatic filtering, motif analysis and structure prediction.
  • Design and construct expression libraries and establish QC protocols.
  • Plan directed-evolution and AI-guided engineering cycles for thermostability and activity.
  • Develop and validate tiered screening stacks and real-world material assays.
  • Utilize robotics and automation with design-of-experiments and batch controls.
  • Document results and share data with EBIC/ICOS partners.

Skills

Synthetic biology
Molecular cloning
Bioinformatics
Directed evolution
Protein expression
Data analysis

Education

PhD in synthetic biology or related field

Tools

Opentrons OT-2
CellRepo
Python
R

Job description

Newcastle University is seeking a Research Associate or Senior Research Associate to manage a cutting-edge AI- and bioinformatics-augmented platform for PET degradation. You will integrate synthetic biology, enzyme engineering and data science to advance PETase, MHETase/BHETase, and PET-binding modules, coordinating with EBIC/ICOS teams and international collaborators.

The role involves scalable workflows, rigorous data capture and milestone-driven delivery, with opportunities for independent

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