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- Tasks: Join a team to revolutionise drug discovery using AI and computational chemistry.
- Company: Leading biotechnology firm in Greater London with a focus on innovation.
- Benefits: Hybrid working model, mentorship opportunities, and collaborative environment.
- Why this job: Make a real impact in healthcare by advancing drug design with cutting-edge technology.
- Qualifications: PhD in a relevant field and 5+ years in computational chemistry required.
- Other info: Great opportunity for knowledge sharing and career growth in a dynamic setting.
The predicted salary is between 43200 - 72000 £ per year.
A leading biotechnology company in Greater London is seeking scientists experienced in computational drug design to contribute towards revolutionary drug discovery efforts.
Candidates should have a PhD in a relevant field and over 5 years of experience in computational chemistry.
The role involves collaboration, mentorship, and applying machine learning techniques to advance drug design.
This position supports a hybrid working model, requiring onsite presence three days per week, fostering knowledge sharing and team cohesion.
Computational Drug Designer, AI-Driven Discovery in London employer: Isomorphic Labs
Contact Detail:
Isomorphic Labs Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Computational Drug Designer, AI-Driven Discovery in London
✨Tip Number 1
Network like a pro! Reach out to professionals in the biotechnology field on LinkedIn or at industry events. We can’t stress enough how valuable personal connections can be in landing that dream role.
✨Tip Number 2
Show off your skills! Prepare a portfolio showcasing your computational drug design projects and any machine learning techniques you've applied. This will help us see your practical experience and creativity in action.
✨Tip Number 3
Practice makes perfect! Get ready for those interviews by rehearsing common questions related to computational chemistry and drug design. We recommend doing mock interviews with friends or mentors to boost your confidence.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who take the initiative to engage directly with us.
We think you need these skills to ace Computational Drug Designer, AI-Driven Discovery in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in computational drug design and computational chemistry. We want to see how your skills align with the role, so don’t be shy about showcasing relevant projects or achievements!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about AI-driven drug discovery and how your background makes you a perfect fit for our team. Let us know what excites you about this opportunity!
Showcase Collaboration Skills: Since this role involves collaboration and mentorship, make sure to mention any experiences where you’ve worked in teams or guided others. We love seeing candidates who can foster a positive team environment!
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 the role. Plus, it’s super easy – just follow the prompts!
How to prepare for a job interview at Isomorphic Labs
✨Know Your Stuff
Make sure you brush up on your computational chemistry knowledge and any relevant machine learning techniques. Be ready to discuss specific projects you've worked on, as well as the methodologies you used. This will show that you're not just familiar with the theory but can apply it practically.
✨Show Your Collaborative Spirit
Since the role involves collaboration and mentorship, be prepared to share examples of how you've worked effectively in teams. Highlight any experiences where you’ve mentored others or contributed to a group project, as this will demonstrate your ability to foster team cohesion.
✨Ask Insightful Questions
Prepare some thoughtful questions about the company’s drug discovery efforts and their use of AI in the process. This shows your genuine interest in the role and helps you understand how you can contribute to their goals. Plus, it gives you a chance to assess if the company is the right fit for you.
✨Embrace the Hybrid Model
Since the position supports a hybrid working model, think about how you can balance remote work with onsite presence. Be ready to discuss how you plan to maintain productivity and communication while working in both environments. This will reassure them that you can thrive in their setup.
