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- Tasks: Lead a team to develop AI algorithms for drug discovery and mentor junior researchers.
- Company: Forward-thinking drug invention company in Greater London with a focus on innovation.
- Benefits: Flexible working arrangements, competitive salary, and opportunities to impact medicine.
- Why this job: Join a dynamic team and contribute to groundbreaking solutions in drug development.
- Qualifications: Strong programming skills in Python and experience with deep learning frameworks.
The predicted salary is between 48000 - 72000 £ per year.
A forward-thinking drug invention company in Greater London is seeking a Senior AI Research Scientist to develop cutting-edge AI algorithms for drug discovery. You will lead a team to model protein-ligand systems and predict molecular properties, while mentoring junior researchers. This role requires strong programming skills in Python and extensive experience with deep learning frameworks. Join a dynamic team focused on real-world applications and innovative drug development solutions. The company offers flexible working arrangements with opportunities to impact the future of medicine.
Senior AI Scientist — Hybrid (2 Remote Days/Week) in London employer: Aqemia
Contact Detail:
Aqemia Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior AI Scientist — Hybrid (2 Remote Days/Week) in London
✨Tip Number 1
Network like a pro! Reach out to professionals in the AI and drug discovery fields on LinkedIn. Join relevant groups and engage in discussions to get your name out there and show your passion for the industry.
✨Tip Number 2
Prepare for those interviews! Brush up on your Python skills and be ready to discuss your experience with deep learning frameworks. We recommend practising common interview questions related to AI and drug discovery to boost your confidence.
✨Tip Number 3
Showcase your projects! If you've worked on any relevant AI algorithms or drug discovery models, make sure to highlight them in your conversations. We love seeing real-world applications of your skills, so don’t hold back!
✨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 individuals who want to make a difference in medicine, so don’t hesitate to put yourself out there!
We think you need these skills to ace Senior AI Scientist — Hybrid (2 Remote Days/Week) in London
Some tips for your application 🫡
Show Off Your Skills: Make sure to highlight your programming skills in Python and any experience you have with deep learning frameworks. We want to see how your expertise aligns with our cutting-edge AI algorithms for drug discovery!
Tailor Your Application: Don’t just send a generic CV! Tailor your application to reflect the specific requirements of the Senior AI Scientist role. Mention your experience in modelling protein-ligand systems and how you've led teams in the past.
Be Yourself: We’re looking for someone who fits into our dynamic team, so let your personality shine through! Share your passion for innovative drug development and how you can contribute to real-world applications.
Apply Through Our Website: To make sure your application gets the attention it deserves, apply directly through our website. It’s the best way for us to see your application and get you on board with our exciting projects!
How to prepare for a job interview at Aqemia
✨Know Your AI Stuff
Make sure you brush up on the latest advancements in AI, especially in drug discovery. Be ready to discuss specific algorithms you've worked with and how they can be applied to protein-ligand systems.
✨Show Off Your Programming Skills
Since strong programming skills in Python are a must, prepare to demonstrate your coding abilities. You might be asked to solve a problem on the spot, so practice coding challenges related to deep learning frameworks.
✨Lead with Confidence
As you'll be leading a team, be prepared to share your leadership experiences. Think of examples where you've mentored junior researchers or led projects, and be ready to discuss your approach to team dynamics.
✨Align with Their Vision
Research the company’s mission and recent projects. Show enthusiasm for their innovative drug development solutions and explain how your skills and experiences align with their goals in transforming medicine.
