At a Glance
- Tasks: Investigate RNA structural ensembles and develop tools for efficient sampling.
- Company: Join the prestigious Randall Centre at King's College London.
- Benefits: Hybrid work, professional development days, and opportunities to present at international conferences.
- Why this job: Make a real impact in molecular modelling and collaborate with top researchers.
- Qualifications: PhD in computational molecular science or related field; experience in molecular simulations required.
- Other info: Inclusive environment with a commitment to diversity and career growth.
The predicted salary is between 36000 - 60000 £ per year.
About Us
The Randall Centre for Cell & Molecular Biophysics is located in the heart of London and is part of King\’s College London. It is part of the School of Basic & Biomedical Sciences which sits within the Faculty of Life Sciences & Medicine which has a broad spectrum of research interests spanning fundamental biology, disease, and physiology.
We are based at the Guy\’s Campus of King\’s College London which is a founding member of the prestigious Russell Group of world-class, research-intensive universities.
Our research addresses fundamental biological questions at the interface between the physical and biomedical sciences.
We develop and apply state-of-the-art biophysical techniques to study molecular and cellular processes in biology and medicine. The Centre is internationally recognised, helping us to foster cross-organisational collaborations and attract the best emerging and established talent from across the globe.
About the role
This role is part of a BBSRC-funded project to investigate RNA structural ensembles in silico . You will work on studying RNA structural ensembles and develop new tools to sample these ensembles more efficiently. These will continue current research in the group that integrates ML into physics-based simulations and on a coarse-graining model developed in collaboration with external partners.
The aim of this project is to enable fast and accurate simulations of RNA structural ensembles, which in turn will be used to identify potential binding sites for small ligands. The work will be conducted in close collaboration with experiment (Prof. Conte\’s lab at KCL) and with external collaborators at the University of Cambridge and Universite de Paris.
You will be able to develop skills in scientific programming, RNA structural biology, integrative modelling and ligand discovery. There will be opportunities to present the work at international conferences. You will be expected to present work internally, actively follow open science principles and produce software that is well documented. There may be opportunities to train Masters and PhD students in the research group.
This role requires a significant amount of experience in scientific computing and molecular simulations (see essential criteria). This role is therefore only suitable for candidates with such background. If you are not sure that you meet this criterion, please contact Dr. Roeder for more detail.
This is a full-time role, and you will be offered a fixed term contract for two years with a start date no sooner than 1st November 2025. The role may be held in a hybrid fashion, with up to 3 days a week work from home.
Research staff at King\’s are entitled to at least 10 days per year (pro-rata) for professional development. This entitlement, from the Concordat to Support the Career Development of Researchers , applies to Postdocs, Research Assistants, Research and Teaching Technicians, Teaching Fellows and AEP equivalent up to and including grade 7. Visit the Centre for Research Staff Development for more information.
About You
To be successful in this role, we are looking for candidates to have the following skills and experience:
Essential criteria
- PhD qualified in computational molecular science or similar relevant subject area *
- Experience in setting up and running molecular simulations
- Track record of disseminating research outputs in appropriate formats (publications, presentations and software contributions)
- Advanced skills in data analysis for molecular simulations
- Track record of method development for molecular simulations
- Experience of working effectively in a team
- Experience of working with high-performance computing
* Please note that this is a PhD level role but candidates who have submitted their thesis and are awaiting award of their PhDs will be considered. In these circumstances the appointment will be made at Grade 5, spine point 30 with the title of Research Assistant. Upon confirmation of the award of the PhD, the job title will become Research Associate and the salary will increase to Grade 6.
Desirable criteria
- Track record in developing AI methods for molecular simulations
- Experience in collaborating with wet lab researchers
- Knowledge of enhanced sampling methods
- Experience in modelling RNAs
Downloading a copy of our Job Description
Full details of the role and the skills, knowledge and experience required can be found in the Job Description document, provided at the bottom of the page. This document will provide information of what criteria will be assessed at each stage of the recruitment process.
Further Information
We pride ourselves on being inclusive and welcoming. We embrace diversity and want everyone to feel that they belong and are connected to others in our community.
We are committed to working with our staff and unions on these and other issues, to continue to support our people and to develop a diverse and inclusive culture at King\’s.
As part of this commitment to equality, diversity and inclusion and through this appointment process, it is our aim to develop candidate pools that include applicants from all backgrounds and communities.
We ask all candidates to submit a copy of their CV, and a supporting statement, detailing how they meet the essential criteria listed in the advert. If we receive a strong field of candidates, we may use the desirable criteria to choose our final shortlist, so please include your evidence against these where possible.
To find out how our managers will review your application, please take a look at our \’ How we Recruit \’ pages.
Interviews are due to be held in late September (maybe subject to change)
This post is subject to Occupational Health clearance. #J-18808-Ljbffr
Research Associate in Molecular Modelling of RNAs employer: King's College London
Contact Detail:
King's College London Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Research Associate in Molecular Modelling of RNAs
✨Tip Number 1
Network like a pro! Reach out to current or former employees at the Randall Centre for Cell & Molecular Biophysics. A friendly chat can give you insider info and maybe even a referral, which can really boost your chances.
✨Tip Number 2
Prepare for the interview by diving deep into their research. Familiarise yourself with their projects on RNA structural ensembles and think about how your skills in molecular simulations can contribute. Show them you’re not just another candidate!
✨Tip Number 3
Practice your presentation skills! You might need to present your work internally or at conferences, so being able to communicate your ideas clearly is key. Grab a friend and do a mock presentation to get comfortable.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, it shows you’re serious about joining the team at King’s College London.
We think you need these skills to ace Research Associate in Molecular Modelling of RNAs
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the role of Research Associate in Molecular Modelling of RNAs. Highlight your relevant experience in molecular simulations and scientific computing, as well as any collaborations with wet lab researchers.
Craft a Compelling Supporting Statement: Your supporting statement is your chance to shine! Clearly outline how you meet the essential criteria listed in the job description. Use specific examples from your past work to demonstrate your skills and experience.
Showcase Your Research Outputs: Don’t forget to mention your track record of disseminating research outputs. Include details about publications, presentations, and any software contributions you've made. This will show us that you're proactive and engaged in the research community.
Apply Through Our Website: We encourage you to apply through our website for a smooth application process. It’s the best way to ensure your application gets to the right people and is considered promptly!
How to prepare for a job interview at King's College London
✨Know Your Stuff
Make sure you brush up on your knowledge of RNA structural biology and molecular simulations. Be ready to discuss your previous research experiences and how they relate to the role. Familiarise yourself with the latest developments in the field, especially any relevant AI methods or enhanced sampling techniques.
✨Showcase Your Skills
Prepare to demonstrate your scientific programming skills and data analysis capabilities. Bring examples of your work, such as publications or software contributions, to highlight your experience. This will show that you can not only talk the talk but also walk the walk when it comes to practical applications.
✨Collaboration is Key
Since this role involves working closely with both experimental labs and external collaborators, be ready to discuss your teamwork experiences. Share specific examples of how you've successfully collaborated in the past, and emphasise your ability to communicate effectively with diverse teams.
✨Ask Thoughtful Questions
Prepare some insightful questions about the project and the team dynamics. This shows your genuine interest in the role and helps you gauge if it's the right fit for you. Consider asking about the integration of machine learning into their current research or how they approach open science principles.