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- Tasks: Design and build innovative AI solutions for drug discovery.
- Company: Leading life sciences tech company in Greater London.
- Benefits: Competitive salary, collaborative environment, and impactful work.
- Why this job: Make a real difference in drug discovery with cutting-edge AI technology.
- Qualifications: PhD or equivalent experience in molecular AI or computational chemistry.
- Other info: Join a dynamic team of engineers and scientists for career growth.
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 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
✨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 common questions related to molecular AI and drug discovery. We recommend practising with a friend or using mock interview platforms to build your confidence.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who are proactive about their job search!
We think you need these skills to ace Molecular AI Research Engineer for Drug Discovery
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 on showcasing your expertise!
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 with what we’re looking for.
Be Clear and Concise: When writing your application, keep it clear and to the point. We appreciate well-structured applications that make it easy for us to see your qualifications and passion for drug discovery.
Apply Through Our Website: Don’t forget to submit your application 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 your knowledge of molecular AI and computational chemistry. Be prepared to discuss your previous projects and how they relate to drug discovery. 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 or discuss your experience with deep learning frameworks. Practise coding challenges beforehand to boost your confidence.
✨Collaborate Like a Pro
This role involves working closely with engineers and scientists, so highlight your teamwork skills. Prepare examples of past collaborations where you successfully integrated different perspectives to achieve a common goal. This will show that you can thrive in a collaborative environment.
✨Ask Insightful Questions
At the end of the interview, don’t forget to ask questions! Inquire about the company’s current projects in drug discovery or how they envision the future of molecular AI. This demonstrates your genuine interest in the role and helps you assess if it’s the right fit for you.
