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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 employer: Boltz
Contact Detail:
Boltz Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land ML Research Scientist, Molecular Design
✨Tip Number 1
Network like a pro! Reach out to professionals in the biotech 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
Prepare for those interviews! Brush up on your deep learning knowledge, especially with PyTorch. Be ready to discuss your past projects and how they relate to molecular design – we want to see your passion shine through!
✨Tip Number 3
Showcase your work! Create a portfolio of your research and projects. If you have publications, make sure they're easily accessible. This will help us see your contributions to the field and your potential impact.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets noticed. Plus, it shows you're genuinely interested in joining our mission-driven team to make a real-world impact.
We think you need these skills to ace ML Research Scientist, Molecular Design
Some tips for your application 🫡
Show Your Passion: When writing your application, let your enthusiasm for molecular design and AI shine through. We want to see how your mission aligns with ours, so share why you're excited about the role and how you can contribute to our groundbreaking work.
Highlight Relevant Experience: Make sure to showcase your expertise in deep learning and any experience you have with PyTorch. We’re looking for candidates who can hit the ground running, so don’t hold back on detailing your past projects and publications that relate to this role.
Tailor Your Application: Don’t just send a generic application! Take the time to tailor your CV and cover letter to reflect the specific skills and experiences mentioned in the job description. We appreciate when candidates take the extra step to connect their background with what we’re looking for.
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’re considered for the role. Plus, it gives you a chance to explore more about our company and culture!
How to prepare for a job interview at Boltz
✨Know Your Algorithms
Make sure you brush up on the latest algorithms in molecular design and deep learning. Be ready to discuss your previous work with PyTorch and how you've applied it in real-world scenarios. This shows your expertise and passion for the field.
✨Showcase Your Publications
Prepare to talk about your publication record. Highlight key papers that demonstrate your contributions to the field, especially those related to AI and molecular modeling. This will help establish your credibility and commitment to advancing science.
✨Collaborative Mindset
Since this role involves working with an interdisciplinary team, be prepared to discuss your experience collaborating with others. Share examples of how you’ve successfully worked in teams to solve complex problems, as this will show you’re a great fit for their culture.
✨Ask Insightful Questions
Prepare thoughtful questions about the company’s current projects and future goals in AI-powered molecular modeling. This not only shows your interest but also helps you gauge if the company aligns with your own mission-driven approach.
