Computational Chemist (RNA-Drug Discovery)

Are you a skilled computational chemist eager to push the boundaries of RNA-targeted drug discovery? Join Team Raiden, we are developing an innovative AI-driven platform revolutionising RNA-based therapeutics. We are seeking to appoint a highly motivated Computational Chemist with expertise in molecular modelling, docking, and structure-based drug design to support our AI-powered predictions with rigorous experimental validation.

Key Responsibilities:

• Collaborate within interdisciplinary discovery team (AI engineers and wet lab scientists) to deliver on project strategy and drive tasks execution
• Perform molecular docking of small-molecule compounds into 3D RNA structures to evaluate binding affinities and interaction profiles
• Assess and triage Raiden’s AI-generated compound predictions to identify high-potential candidates for wet lab validation
• Utilize molecular dynamics (MD) simulations, free energy calculations, and other computational techniques to refine compound selections.
• Develop and optimise computational pipelines for RNA-ligand interaction analysis
• Contribute to the development and validation of novel AI models for RNA-targeted drug discovery.

Requirements:

• PhD in Computational Chemistry, Chemistry or a related subject
• Experienced in the application of Computational Chemistry for Drug Discovery projects
• Strong experience with molecular docking tools (e.g., AutoDock, Glide, DOCK, Rosetta, MOE, or similar).
• Proficiency in molecular dynamics simulations (e.g., AMBER, GROMACS, CHARMM) and related free-energy calculations.
• Familiarity with cheminformatics tools and databases (e.g., RDKit, Open Babel, ZINC, ChEMBL).
• Solid understanding of RNA structural biology and RNA-ligand interactions.
• Ability to script in Python or another relevant language for data analysis and workflow automation.
• Strong problem-solving skills and ability to work in an interdisciplinary team.

Applicants who hold a BSc/MSc degree in a relevant subject will be considered for a Research Assistant position that will be offered at Grade 6: £34,982 - £40,855 p.a. with reasonable adjustments in the job responsibilities.

Application Process

The post is available as a fixed-term contract for 1 year in the first instance. If you are interested in this position, and have the skills and experience we are looking for, please apply online. You will be required to upload a CV and supporting statement as part of your online application.

Only applications submitted online and received before 12:00 midday on Tuesday 8th April 2025 will be considered. Interviews will be held as soon as possible thereafter.

At the Dunn School we are committed to supporting the professional and career development of our postdocs and research staff. To help them thrive and achieve their ambitions, we have created a comprehensive range of opportunities and initiatives designed to provide an exceptional launchpad for their future careers.

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