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For Companies At a Glance
- Tasks: Apply physics-based simulations to revolutionise drug discovery.
- Company: Leading drug invention company in Greater London with a dynamic team.
- Benefits: Flexible work options and opportunities for innovation.
- Why this job: Make a real impact in drug discovery while working collaboratively.
- Qualifications: MSc or PhD in a related field, experience with Molecular Dynamics, and Python skills.
- Other info: Join a collaborative environment focused on innovative solutions.
The predicted salary is between 36000 - 60000 £ per year.
A leading drug invention company in Greater London is seeking an Application Scientist to join their Molecular Simulations Team. The role focuses on applying physics-based simulation methods in drug discovery.
Ideal candidates will possess:
- An MSc or PhD in a related field
- Hands-on experience with Molecular Dynamics
- Strong skills in Python
Join a dynamic team with flexible work options and contribute to innovative drug discovery efforts in a collaborative environment.
Molecular Simulations Scientist – Drug Discovery Impact in London employer: Aqemia
Contact Detail:
Aqemia Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Molecular Simulations Scientist – Drug Discovery Impact in London
✨Tip Number 1
Network like a pro! Reach out to professionals in the drug discovery field on LinkedIn or at industry events. A friendly chat can open doors and give you insights that might just land you that dream role.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your Molecular Dynamics projects and Python scripts. This not only highlights your expertise but also gives potential employers a taste of what you can bring to their team.
✨Tip Number 3
Prepare for interviews by brushing up on common questions related to molecular simulations and drug discovery. We recommend practising with a friend or even in front of the mirror to boost your confidence!
✨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 Molecular Simulations Scientist – Drug Discovery Impact in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your MSc or PhD and any hands-on experience with Molecular Dynamics. We want to see how your skills align with the role, so don’t be shy about showcasing relevant projects!
Show Off Your Python Skills: Since strong Python skills are a must, include specific examples of how you've used Python in your previous work or studies. We love seeing practical applications of your coding prowess!
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 you can contribute to our Molecular Simulations Team. Keep it engaging and personal!
Apply Through Our Website: We encourage you to apply directly through our website for a smoother process. It helps us keep track of your application and ensures you don’t miss out on any updates from us!
How to prepare for a job interview at Aqemia
✨Know Your Molecular Dynamics
Make sure you brush up on your knowledge of Molecular Dynamics. Be prepared to discuss specific projects where you've applied these methods, and think about how they relate to the role at the company. Showing that you can connect your experience to their needs will impress the interviewers.
✨Show Off Your Python Skills
Since strong Python skills are a must for this role, be ready to talk about your coding experience. Consider preparing a small project or example that showcases your ability to use Python in molecular simulations. This will demonstrate your practical skills and problem-solving abilities.
✨Understand Their Drug Discovery Process
Research the company's drug discovery process and be familiar with their recent projects or breakthroughs. This will not only help you answer questions more effectively but also allow you to ask insightful questions, showing your genuine interest in their work.
✨Emphasise Collaboration
Since the role involves working in a dynamic team, highlight your teamwork experiences. Share examples of how you've successfully collaborated with others in past projects, especially in a scientific context. This will show that you can thrive in their collaborative environment.
