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- Tasks: Enhance drug design using AI and collaborate on innovative projects.
- Company: Pioneering tech firm in London with a focus on drug discovery.
- Benefits: Exciting opportunity to impact the pharmaceutical industry and drive innovation.
- Why this job: Join a cutting-edge team transforming drug discovery processes.
- Qualifications: Master’s or PhD in Computational Chemistry or AI, plus programming skills.
- Other info: Dynamic environment with opportunities for significant career growth.
The predicted salary is between 36000 - 60000 £ per year.
A pioneering technology firm in London is seeking a Cheminformatics Engineer to enhance drug design. You will contribute to developing AI solutions and collaborate across teams to drive innovation.
The ideal candidate holds a Master’s or PhD in Computational Chemistry or AI and has solid programming skills. This position offers an exciting opportunity to make a significant impact in the pharmaceutical industry, with a focus on transforming drug discovery processes.
AI-Driven Cheminformatics Engineer for Drug Discovery employer: Dalton
Contact Detail:
Dalton Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land AI-Driven Cheminformatics Engineer for Drug Discovery
✨Tip Number 1
Network like a pro! Reach out to professionals in the cheminformatics and AI fields on LinkedIn. Join relevant groups and participate in discussions to get your name out there and show your passion for drug discovery.
✨Tip Number 2
Showcase your skills! Create a portfolio of your projects, especially those related to AI and cheminformatics. This will give potential employers a clear view of what you can bring to the table and how you can contribute to their innovative solutions.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and soft skills. Be ready to discuss your experience with programming and AI applications in drug design. Practice common interview questions and think about how you can demonstrate your problem-solving abilities.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of exciting opportunities waiting for you. Tailor your application to highlight your unique skills and experiences that align with the role of Cheminformatics Engineer.
We think you need these skills to ace AI-Driven Cheminformatics Engineer for Drug Discovery
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your relevant experience in cheminformatics and AI. We want to see how your skills align with the role, so don’t be shy about showcasing your programming prowess and any projects that relate to drug discovery.
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about transforming drug discovery processes and how your background makes you a perfect fit for our team. Keep it engaging and personal – we love to see your personality!
Showcase Your Projects: If you've worked on any relevant projects, whether in academia or industry, make sure to mention them. We’re keen to see how you’ve applied your computational chemistry knowledge and AI skills in real-world scenarios, so don’t hold back!
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. Plus, it gives you a chance to explore more about our company culture!
How to prepare for a job interview at Dalton
✨Know Your Stuff
Make sure you brush up on your knowledge of cheminformatics and AI. Be ready to discuss specific algorithms or tools you've used in your projects. This shows you're not just familiar with the theory but can apply it practically.
✨Showcase Your Programming Skills
Prepare to demonstrate your programming abilities, especially in languages relevant to the role like Python or R. You might be asked to solve a coding problem or explain your approach to a past project, so practice articulating your thought process.
✨Collaborative Mindset
Since this role involves working across teams, be ready to share examples of how you've successfully collaborated in the past. Highlight your communication skills and how you’ve contributed to team success in previous projects.
✨Passion for Innovation
Express your enthusiasm for drug discovery and how AI can revolutionise the field. Share any personal projects or research that align with the company's mission, showing that you're genuinely invested in making an impact.
