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- Tasks: Design and build innovative AI solutions for drug discovery.
- Company: Leading life sciences tech company in Greater London.
- Benefits: Impactful work, collaborative environment, and career growth opportunities.
- Why this job: Make a real difference in drug discovery with cutting-edge AI technology.
- Qualifications: PhD or equivalent in molecular AI or computational chemistry; strong Python skills.
- Other info: Join a team of engineers and scientists to revolutionise healthcare.
The predicted salary is between 48000 - 72000 £ per year.
A leading life sciences technology company in Greater London is seeking AI research engineers to design and build innovative AI solutions for drug discovery. You will develop advanced models to predict molecular properties, collaborating with engineers and scientists to integrate these into software used by chemists.
The ideal candidate holds a PhD or equivalent experience in molecular AI or computational chemistry, with strong skills in Python and deep learning frameworks. This position offers impactful work in a collaborative environment.
Molecular AI Research Engineer for Drug Discovery in London employer: Aspire Life Sciences Search
Contact Detail:
Aspire Life Sciences Search Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Molecular AI Research Engineer for Drug Discovery in London
✨Tip Number 1
Network like a pro! Reach out to professionals in the life sciences and AI fields on LinkedIn. Join relevant groups and participate in discussions to get your name out there and show off your expertise.
✨Tip Number 2
Showcase your skills! Create a portfolio of your projects, especially those involving Python and deep learning frameworks. This will give potential employers a taste of what you can do and how you can contribute to their team.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and soft skills. Practice explaining complex concepts in simple terms, as you'll need to collaborate with chemists and engineers who may not have a deep AI background.
✨Tip Number 4
Don't forget to apply through our website! We love seeing candidates who are genuinely interested in joining our team. Tailor your application to highlight your experience in molecular AI and drug discovery to stand out.
We think you need these skills to ace Molecular AI Research Engineer for Drug Discovery in London
Some tips for your application 🫡
Show Off Your Skills: Make sure to highlight your experience with Python and deep learning frameworks in your application. We want to see how your skills align with the role, so don’t hold back!
Tailor Your Application: Customise your CV and cover letter to reflect the specific requirements of the Molecular AI Research Engineer position. We love seeing candidates who take the time to connect their background to what we’re looking for.
Be Clear and Concise: When writing your application, keep it straightforward and to the point. We appreciate clarity, so make sure your passion for drug discovery and AI shines through without unnecessary fluff.
Apply Through Our Website: We encourage you to submit your application directly through our website. It’s the best way for us to receive your details and ensures you’re considered for this exciting opportunity!
How to prepare for a job interview at Aspire Life Sciences Search
✨Know Your Molecular AI Inside Out
Make sure you brush up on the latest advancements in molecular AI and computational chemistry. Be prepared to discuss your previous projects and how they relate to drug discovery, as this will show your passion and expertise in the field.
✨Show Off Your Python Skills
Since strong Python skills are a must, be ready to demonstrate your coding abilities. You might be asked to solve a problem on the spot, so practice coding challenges related to data manipulation and model building beforehand.
✨Collaborative Spirit is Key
This role involves working closely with engineers and scientists, so highlight your teamwork experiences. Share examples of how you've successfully collaborated on projects, especially in a research setting, to showcase your ability to integrate into their environment.
✨Prepare Questions That Matter
Think of insightful questions to ask about the company's approach to AI in drug discovery. This not only shows your interest but also helps you gauge if the company culture aligns with your values and work style.
