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- Tasks: Develop AI methods to revolutionise drug design and collaborate with diverse teams.
- Company: Leading pharmaceutical technology company in the UK focused on innovation.
- Benefits: Competitive salary, health benefits, and opportunities for professional growth.
- Why this job: Join us to transform drug discovery and make a real difference in patient outcomes.
- Qualifications: Master's or PhD in Computational Chemistry or AI, strong Python skills required.
- Other info: Dynamic role with a focus on cutting-edge technology and impactful projects.
The predicted salary is between 36000 - 60000 £ per year.
A pharmaceutical technology company in the UK is seeking a detail-oriented Cheminformatics Engineer to enhance productivity in drug design. The role includes developing cutting-edge AI methods and collaborating with diverse teams.
Candidates should have a Master's or PhD in Computational Chemistry or AI, strong Python skills, and the ability to manage the full software lifecycle.
Join us to transform drug discovery and improve patient outcomes.
AI-Enabled Cheminformatics Engineer for Drug Design in London employer: DaltonTx
Contact Detail:
DaltonTx Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land AI-Enabled Cheminformatics Engineer for Drug Design in London
✨Tip Number 1
Network like a pro! Reach out to professionals in the pharmaceutical tech space on LinkedIn. Join relevant groups and engage in discussions to get your name out there and show off your passion for AI and cheminformatics.
✨Tip Number 2
Showcase your skills! Create a portfolio that highlights your Python projects, especially those related to drug design or AI. This will give potential employers a taste of what you can bring to the table.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and soft skills. Be ready to discuss how you've managed software lifecycles and collaborated with teams. Practice common interview questions to boost your confidence!
✨Tip Number 4
Don’t forget to apply through our website! We’re always on the lookout for talented individuals like you. Keep an eye on our job postings and make sure your application stands out by tailoring it to the role.
We think you need these skills to ace AI-Enabled Cheminformatics Engineer for Drug Design in London
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 in Python and software lifecycle management can contribute to our mission in drug design.
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Tell us why you're passionate about transforming drug discovery and how your background aligns with our goals. Keep it engaging and personal!
Showcase Your Projects: If you've worked on any projects related to computational chemistry or AI, don’t hold back! We love seeing real examples of your work that demonstrate your problem-solving skills and creativity.
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 to join 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 methods. 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 Collaboration Skills
Since the role involves working with diverse teams, prepare examples of how you've successfully collaborated in the past. Highlight any cross-functional projects where you contributed to drug design or similar fields. This will demonstrate your ability to work well with others.
✨Understand the Software Lifecycle
Be prepared to talk about your experience managing the full software lifecycle. Discuss how you've approached development, testing, and deployment in previous roles. This will show that you can handle the responsibilities of the position effectively.
✨Ask Insightful Questions
Prepare thoughtful questions about the company's approach to drug design and how they integrate AI into their processes. This not only shows your interest in the role but also helps you gauge if the company is the right fit for you.
