Postdoc: Computational Biophysics for Ion Channels

Economics Network; Greater London; Hybrid; GBP 39,000 - 53,000; Full time

Job summary

Queen Mary University of London invites applications for a Postdoctoral Research Associate in Dr Wojciech Kopec's group on the Dark Channelome project, combining AI-based structural modelling with molecular simulation to discover and classify candidate human ion channels.

You will generate membrane-protein assemblies, analyze pore geometry and hydration, and use computational electrophysiology to test candidates, with opportunities to publish, mentor students, and develop your research

Qualifications

• Experience in biomolecular MD and membrane-protein biophysics.
• Expertise in protein structural modelling and scientific programming.
• Familiarity with Linux-based HPC environments.

Responsibilities

• Generate and assess membrane-protein assemblies and analyze pore geometry.
• Use computational electrophysiology to test candidates.
• Collaborate with Oxford and turn findings into experimental predictions.

Skills

Biomolecular MD

Protein modelling

Scientific programming

Linux HPC

Membrane-protein biophysics

Education

PhD in a relevant field

Tools

AlphaFold

Ion-channel simulation

Job description

Queen Mary University of London invites applications for a Postdoctoral Research Associate in Dr Wojciech Kopec's group on the Dark Channelome project, combining AI-based structural modelling with molecular simulation to discover and classify candidate human ion channels.

You will generate membrane-protein assemblies, analyze pore geometry and hydration, and use computational electrophysiology to test candidates, with opportunities to publish, mentor students, and develop your research