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- Tasks: Research and develop AI features for drug discovery and intelligent compound selection.
- Company: Cutting-edge drug design company in London with a focus on innovation.
- Benefits: Hands-on experience, opportunities for publication, and collaboration with experts.
- Why this job: Make a real impact in drug programs while advancing your research skills.
- Qualifications: Experience in machine learning and a passion for scientific excellence.
- Other info: Join a collaborative team dedicated to transforming therapeutic areas.
The predicted salary is between 20000 - 30000 £ per year.
A cutting-edge drug design company in London seeks an experienced ML engineer intern. You will research and develop features to tackle AI challenges in drug discovery, focusing on intelligent compound selection for ADMET modeling. This position offers hands-on experience from the start-up phase and emphasizes scientific excellence, with opportunities for publication in peer-reviewed journals. Join a collaborative team committed to impacting real-world drug programs in various therapeutic areas.
PhD Research Internship: AI-Driven Drug Design in London employer: deepmirror
Contact Detail:
deepmirror Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land PhD Research Internship: AI-Driven Drug Design in London
✨Tip Number 1
Network like a pro! Reach out to professionals in the AI and drug design fields on LinkedIn. A friendly message can go a long way, and you never know who might help you land that internship.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects related to machine learning and drug design. This will give you an edge during interviews and demonstrate your hands-on experience.
✨Tip Number 3
Prepare for those interviews! Research common questions in the ML and drug discovery space, and practice your answers. We recommend doing mock interviews with friends or using online platforms to boost your confidence.
✨Tip Number 4
Apply through our website! We make it super easy for you to submit your application directly. Plus, it shows you're genuinely interested in joining our team and making an impact in the world of drug design.
We think you need these skills to ace PhD Research Internship: AI-Driven Drug Design in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in machine learning and drug design. We want to see how your skills align with the AI challenges we tackle, so don’t hold back on showcasing your projects!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Tell us why you’re passionate about AI-driven drug design and how you can contribute to our team. Keep it engaging and personal – we love to see your enthusiasm!
Showcase Your Research Skills: Since this role involves research, mention any previous projects or publications you've worked on. We’re keen to see your scientific excellence and how you approach problem-solving in the field of drug discovery.
Apply Through Our Website: We encourage you to apply directly through our website for a smoother process. It helps us keep track of applications and ensures you don’t miss out on any important updates from us!
How to prepare for a job interview at deepmirror
✨Know Your AI and ML Basics
Make sure you brush up on your machine learning fundamentals, especially as they relate to drug design. Be prepared to discuss algorithms, data handling, and any relevant projects you've worked on that showcase your skills in this area.
✨Showcase Your Research Experience
Since this role involves research, be ready to talk about your previous research projects. Highlight any experience with ADMET modeling or intelligent compound selection, and don’t forget to mention any publications or presentations you've contributed to.
✨Demonstrate Team Collaboration Skills
This position is all about working within a collaborative team. Think of examples where you've successfully worked with others, particularly in a research setting. Emphasise your ability to communicate complex ideas clearly and how you contribute to a positive team dynamic.
✨Prepare Questions About the Company
Show your interest in the company by preparing thoughtful questions. Ask about their current projects, the technologies they use, or how they envision the future of AI in drug discovery. This not only shows your enthusiasm but also helps you gauge if the company is the right fit for you.