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- Tasks: Develop AI technology to revolutionise drug design and collaborate on transformative projects.
- Company: Leading biotech firm in Greater London focused on innovation.
- Benefits: Competitive salary, health benefits, and opportunities for professional growth.
- Why this job: Join a cutting-edge team and make a real difference in drug discovery.
- Qualifications: Master's or PhD in Computational Chemistry or AI, with Python expertise.
- Other info: Dynamic work environment with a focus on teamwork and communication.
The predicted salary is between 36000 - 60000 £ per year.
A biotech company in Greater London seeks a detail-oriented Cheminformatics Engineer passionate about developing AI technology to enhance drug design. The role involves building partnerships, delivering transformational projects, and developing AI methods.
A Master's or PhD in Computational Chemistry or AI is required, along with advanced proficiency in Python. The ideal candidate will be a strong communicator and team player, eager to transition innovative AI research into practical applications.
Cheminformatics Engineer: AI‑Driven Drug Discovery in London employer: DaltonTx
Contact Detail:
DaltonTx Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Cheminformatics Engineer: AI‑Driven Drug Discovery in London
✨Tip Number 1
Network like a pro! Reach out to professionals in the biotech and cheminformatics fields on LinkedIn. Join relevant groups and participate in discussions to get your name out there and show off your passion for AI-driven drug discovery.
✨Tip Number 2
Prepare for those interviews! Research the company and their projects, especially in AI technology for drug design. Be ready to discuss how your skills in Python and computational chemistry can contribute to their goals.
✨Tip Number 3
Showcase your projects! If you've worked on any relevant AI methods or cheminformatics projects, make sure to highlight them in conversations. We love seeing practical applications of innovative research!
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets noticed. Plus, we’re always looking for passionate team players who are eager to make a difference in drug discovery.
We think you need these skills to ace Cheminformatics Engineer: AI‑Driven Drug Discovery in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in cheminformatics and AI. We want to see how your skills align with the role, so don’t be shy about showcasing relevant projects or research!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to express your passion for drug discovery and how you can contribute to our team. We love seeing enthusiasm and a clear understanding of the role.
Showcase Your Python Skills: Since advanced proficiency in Python is a must, include specific examples of how you've used Python in your previous work. We’re keen to see your coding prowess in action!
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 don’t miss out on any important updates from our team!
How to prepare for a job interview at DaltonTx
✨Know Your Stuff
Make sure you brush up on your knowledge of cheminformatics and AI-driven drug discovery. Be ready to discuss specific projects you've worked on, especially those involving Python. This shows you're not just familiar with the theory but have practical experience too.
✨Showcase Your Communication Skills
Since the role requires strong communication, practice explaining complex concepts in simple terms. You might be asked to describe how you would present your AI methods to a non-technical audience, so think about how to make your ideas accessible.
✨Demonstrate Team Spirit
This position values collaboration, so be prepared to share examples of how you've successfully worked in teams. Highlight any partnerships you've built in previous roles and how they contributed to project success.
✨Prepare for Practical Applications
Think about how your innovative AI research can translate into real-world applications in drug design. Be ready to discuss potential projects or ideas that could enhance their current processes, showing that you're forward-thinking and solution-oriented.
