Lead Computational Protein Designer – Receptor Design

Priora; Greater London; On-site; GBP 90,000 - 130,000; Full time

Benefits offered by this job

Wellness package

Gym membership subsidy

Share option scheme

Job summary

Priora in London is seeking an experienced computational protein scientist to lead receptor design and own the computational strategy from concept to experimentally testable candidates. You will build and operate the design pipeline—structure generation, sequence design, docking, and filtering—then integrate results with wet-lab screening to iteratively improve candidates.

Candidates should have a PhD in computational, structural, or biophysical disciplines with 3+ years of research, plus

Qualifications

• Hold a PhD in a computational, structural or biophysical discipline with 3+ years of further research experience.
• Masters degree with equivalent experience will also be considered.

Responsibilities

• Build and run the design pipeline from ligand-conditioned backbone and pocket generation through sequence design, structural filtering and docking.
• Design de novo GPCRs and mini-GPCRs within a tight size envelope.
• Validate and deploy established chemogenetic receptor systems in-house.
• Design the libraries and filtering strategy that feed wet-lab screening.
• Work alongside the wet-lab team, turning screening results into the next design pass.

Skills

Python programming

Computational protein design

Structure prediction

Education

PhD in computational/structural/biophysical discipline

Master’s degree (considered)

Tools

RFdiffusion

LigandMPNN

ProteinMPNN

AlphaFold

Boltzmann docking / Boltz

Job description

Priora in London is seeking an experienced computational protein scientist to lead receptor design and own the computational strategy from concept to experimentally testable candidates. You will build and operate the design pipeline—structure generation, sequence design, docking, and filtering—then integrate results with wet-lab screening to iteratively improve candidates.

Candidates should have a PhD in computational, structural, or biophysical disciplines with 3+ years of research, plus