Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Apply advanced computational methods in drug discovery and collaborate with diverse teams.
- Company: Join a leading firm at the forefront of drug discovery and innovation.
- Benefits: Competitive salary, flexible working hours, and opportunities for professional growth.
- Why this job: Make a real impact in healthcare by optimising drug discovery processes.
- Qualifications: Experience in computational biology, chemistry, and proficiency in Python required.
- Other info: Dynamic role with hands-on experience in high-performance computing.
The predicted salary is between 36000 - 60000 ÂŁ per year.
Our client are looking for a highly skilled Computational Scientist with data science and Machine Learning experience to join their drug discovery team. This role is ideal for someone who thrives at the intersection of computational biology, chemistry, and high‑performance computing, and who enjoys working hands‑on across the full discovery pipeline.
What you’ll be doing:
- Applying advanced computational approaches across the drug discovery lifecycle
- Developing and deploying QSAR models and ADMET prediction workflows for small molecules
- Predicting and analysing structures and interactions of large biomolecules (e.g. proteins, RNAs)
- Driving biomolecule optimisation and de novo design
- Leveraging GPU computing (CUDA) and high‑performance computing to scale complex simulations
- Collaborating closely with multidisciplinary discovery teams to translate models into impact
What we’re looking for:
- Strong familiarity with the life sciences sector and the drug discovery process
- Background in computational biology and/or computational chemistry
- Hands‑on experience in:
- Small‑molecule QSAR modelling and ADMET prediction
- Structural prediction and interaction modelling of large biomolecules
- CUDA and high‑performance computing environments
Computational Scientist in London employer: RBW Consulting
Contact Detail:
RBW Consulting Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Computational Scientist in London
✨Tip Number 1
Network like a pro! Reach out to professionals in the computational biology and drug discovery fields on LinkedIn. Join relevant groups and participate in discussions to get your name out there.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving QSAR models or GPU computing. This will give potential employers a taste of what you can bring to their team.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge. Be ready to discuss your experience with Python, CUDA, and high-performance computing. We want you to shine!
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who are proactive about their job search.
We think you need these skills to ace Computational Scientist in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in computational biology and chemistry. We want to see how your skills align with the drug discovery process, so don’t hold back on showcasing relevant projects!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about drug discovery and how your background in data science and machine learning makes you a perfect fit for our team.
Showcase Your Technical Skills: Don’t forget to mention your hands-on experience with QSAR modelling, ADMET predictions, and high-performance computing. We love seeing practical examples of how you've used Python and CUDA in your work!
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for this exciting opportunity in our drug discovery team!
How to prepare for a job interview at RBW Consulting
✨Know Your Science
Make sure you brush up on your knowledge of computational biology and chemistry. Be ready to discuss specific examples of how you've applied advanced computational approaches in drug discovery, especially around QSAR models and ADMET predictions.
✨Showcase Your Technical Skills
Prepare to demonstrate your proficiency in Python and CUDA. You might be asked to solve a problem on the spot, so practice coding challenges related to high-performance computing and small-molecule modelling before the interview.
✨Collaborate Like a Pro
Since this role involves working with multidisciplinary teams, think of examples where you've successfully collaborated with others. Highlight your communication skills and how you’ve translated complex models into actionable insights for your team.
✨Passion for Innovation
Express your enthusiasm for scientific innovation and problem-solving. Share any personal projects or research that showcase your drive and creativity in the field, as this will resonate well with the interviewers looking for someone who thrives in a dynamic environment.
