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- Tasks: Apply advanced computational methods to revolutionise drug discovery and optimise biomolecules.
- Company: Join a pioneering team at the forefront of life sciences and technology.
- Benefits: Competitive salary, flexible working hours, and opportunities for professional growth.
- Why this job: Make a real impact in healthcare by leveraging cutting-edge computational techniques.
- Qualifications: Experience in computational biology, chemistry, and proficiency in Python required.
- Other info: Collaborative environment with a focus on innovation and scientific advancement.
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 employer: RBW Consulting
Contact Detail:
RBW Consulting Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Computational Scientist
✨Tip Number 1
Network like a pro! Reach out to professionals in the computational biology and drug discovery fields. Attend relevant meetups or webinars, and don’t be shy about sliding into DMs on LinkedIn. You never know who might have the inside scoop on job openings!
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your work with QSAR models, ADMET predictions, and any high-performance computing projects. 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 how you've tackled challenges in computational chemistry. Practice explaining complex concepts in simple terms – it shows you can communicate effectively with multidisciplinary teams.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of opportunities that might just be the perfect fit for you. Plus, applying directly can sometimes give you an edge over other candidates.
We think you need these skills to ace Computational Scientist
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! Tell us 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 projects you've worked on, especially those involving QSAR models or ADMET predictions. This will show that you not only understand the theory but also have practical experience.
✨Showcase Your Coding Skills
Since proficiency in Python is a must, prepare to demonstrate your coding skills. You might be asked to solve a problem on the spot, so practice coding challenges related to data science and machine learning. Familiarise yourself with CUDA and high-performance computing concepts as well.
✨Collaborate Like a Pro
This role involves working closely with multidisciplinary teams, so be prepared to discuss how you've collaborated in the past. Share examples of how you’ve translated complex models into actionable insights and how you’ve communicated with team members from different backgrounds.
✨Passion for Innovation
Let your enthusiasm for scientific innovation shine through. Talk about any personal projects or research that demonstrate your passion for drug discovery and computational science. Showing that you’re proactive and curious can set you apart from other candidates.
