Computational Chemist (RNA-Drug Discovery)
Applications for this vacancy closed on 8 April 2025 at 12:00PM
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._
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._
| dc:spatial |
Sir William Dunn School of Pathology, South Parks Road, Oxford
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|---|---|
| Subject | |
| oo:contact | |
| oo:formalOrganization | |
| oo:organizationPart | |
| vacancy:applicationClosingDate |
2025-04-08 12:00:00+01:00
|
| vacancy:applicationOpeningDate |
2025-03-19 09:00:00+00:00
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| vacancy:furtherParticulars | |
| vacancy:internalApplicationsOnly |
False
|
| vacancy:salary | |
| type | |
| comment |
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 ... 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:
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| label |
Computational Chemist (RNA-Drug Discovery)
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| notation |
178366
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| based near | |
| page |