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- Tasks: Lead AI-driven molecular design for oncology and collaborate with diverse teams.
- Company: A leading global biopharmaceutical company at the forefront of drug discovery.
- Benefits: Competitive benefits, opportunities for publication, and conference presentations.
- Why this job: Shape the future of drug discovery with cutting-edge AI technology.
- Qualifications: PhD in Chemistry and strong machine learning skills required.
- Other info: Exciting opportunity to work in a dynamic and innovative environment.
The predicted salary is between 48000 - 72000 £ per year.
A leading global biopharmaceutical company seeks an AI Computational Chemist - Senior Scientist in Cambridge, UK. You will lead AI-driven molecular design for oncology, collaborating with multidisciplinary teams.
A PhD in Chemistry and strong machine learning skills are essential. The role offers competitive benefits and opportunities for publication and presentation at conferences.
Join us to shape the future of drug discovery at a forefront company.
Senior AI Computational Chemist for Oncology Drug Design in Cambridge employer: AstraZeneca
Contact Detail:
AstraZeneca Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior AI Computational Chemist for Oncology Drug Design in Cambridge
✨Tip Number 1
Network like a pro! Reach out to professionals in the biopharmaceutical field, especially those working in AI and oncology. Attend industry events or webinars to make connections that could lead to job opportunities.
✨Tip Number 2
Showcase your skills! Create a portfolio that highlights your AI-driven projects in molecular design. This will give potential employers a clear view of what you can bring to the table.
✨Tip Number 3
Prepare for interviews by brushing up on both technical and soft skills. Be ready to discuss your PhD research and how it relates to the role. Practice common interview questions with a friend or mentor.
✨Tip Number 4
Don’t forget to apply through our website! We’re always looking for talented individuals like you. Keep an eye on our job postings and submit your application directly for the best chance at landing that dream role.
We think you need these skills to ace Senior AI Computational Chemist for Oncology Drug Design in Cambridge
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your PhD in Chemistry and any relevant experience in AI-driven molecular design. We want to see how your skills align with the role, so don’t be shy about showcasing your machine learning expertise!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about oncology drug design and how your background makes you a perfect fit for our team. Let us know what excites you about the role!
Showcase Your Collaborative Spirit: Since this role involves working with multidisciplinary teams, highlight any past experiences where you’ve successfully collaborated with others. We love seeing how you can bring different perspectives together to drive innovation.
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 AstraZeneca
✨Know Your Chemistry and AI Inside Out
Make sure you brush up on your chemistry fundamentals and machine learning techniques. Be prepared to discuss how you've applied these skills in previous projects, especially in oncology drug design. This will show your depth of knowledge and passion for the field.
✨Showcase Your Collaborative Spirit
Since the role involves working with multidisciplinary teams, be ready to share examples of how you've successfully collaborated with others. Highlight any experiences where you’ve led a project or contributed to a team effort, as this will demonstrate your ability to work well with diverse groups.
✨Prepare for Technical Questions
Expect some technical questions related to AI and computational chemistry. Review common algorithms and methodologies used in molecular design. Practising explaining complex concepts in simple terms can also help you communicate effectively during the interview.
✨Discuss Your Vision for Drug Discovery
Think about the future of drug discovery and how AI can play a role in it. Be prepared to share your thoughts on emerging trends and technologies in the field. This will not only show your enthusiasm but also your forward-thinking mindset, which is crucial for a senior position.
