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- Tasks: Develop AI-powered molecular modeling tools and collaborate with a diverse team.
- Company: Leading biotechnology firm in the UK focused on real-world impact.
- Benefits: Competitive salary, equity ownership, and opportunities for meaningful contributions.
- Why this job: Join a mission-driven team and shape the future of molecular design with AI.
- Qualifications: Strong publication record and expertise in deep learning, especially with PyTorch.
- Other info: Dynamic environment with opportunities for innovation and career growth.
The predicted salary is between 36000 - 60000 £ per year.
A leading biotechnology firm in the United Kingdom is seeking a mission-driven ML Research Engineer/Scientist to develop groundbreaking AI-powered molecular modeling tools. This role involves collaborating with an interdisciplinary team to design new algorithms, rigorous experimentation, and creating evaluation benchmarks.
The ideal candidate has a strong publication record and expertise in deep learning, particularly with PyTorch.
The company offers a competitive salary and equity ownership, emphasizing real-world impact for scientists across the industry.
ML Research Scientist, Molecular Design in London employer: Boltz
Contact Detail:
Boltz Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land ML Research Scientist, Molecular Design in London
✨Tip Number 1
Network like a pro! Reach out to professionals in the biotech and AI fields on LinkedIn. Join relevant groups and engage in discussions to get your name out there and show your passion for molecular design.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving deep learning and PyTorch. This will give potential employers a taste of what you can bring to the table.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and problem-solving skills. Practice explaining complex concepts in simple terms, as you'll likely need to collaborate with interdisciplinary teams.
✨Tip Number 4
Don't forget to apply through our website! We have loads of opportunities that might just be the perfect fit for you. Plus, it shows you're genuinely interested in joining our mission-driven team.
We think you need these skills to ace ML Research Scientist, Molecular Design in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in deep learning and any relevant publications. We want to see how your skills align with the role, so don’t be shy about showcasing your expertise in PyTorch!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Tell us why you’re passionate about molecular design and how you can contribute to our mission. Be specific about your past experiences and how they relate to the job.
Showcase Your Collaboration Skills: Since this role involves working with an interdisciplinary team, make sure to mention any collaborative projects you've been part of. We love to see how you’ve worked with others to achieve common goals!
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 don’t miss out on any important updates from our team!
How to prepare for a job interview at Boltz
✨Know Your Algorithms
Make sure you brush up on the latest algorithms in deep learning, especially those relevant to molecular design. Be ready to discuss your previous work and how it relates to the role, as well as any innovative ideas you might have for new algorithms.
✨Showcase Your Publications
Since a strong publication record is key for this position, prepare to talk about your research papers. Highlight the impact of your work and how it contributes to the field of biotechnology and AI. This will demonstrate your expertise and commitment to advancing the industry.
✨Collaborative Spirit
This role involves working with an interdisciplinary team, so be prepared to discuss your experience in collaborative projects. Share examples of how you've successfully worked with others to achieve common goals, and emphasise your ability to communicate complex ideas clearly.
✨Prepare for Technical Questions
Expect technical questions related to PyTorch and molecular modelling. Brush up on your coding skills and be ready to solve problems on the spot. Practising coding challenges or discussing your thought process during past projects can help you feel more confident.
