Biocatalysis AI Scientist - End-to-End Computational Design

Biocatalysis AI Scientist - End-to-End Computational Design

Full-Time 50000 - 65000 £ / year (est.) No working from home possible
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At a Glance

  • Tasks: Build and apply models in enzyme catalysis for pharma and industry applications.
  • Company: Join Dayhoff Labs, a leader in AI and biocatalysis innovation.
  • Benefits: Competitive pay, visa sponsorship, and opportunities for growth.
  • Other info: Collaborate with wet lab engineers in a dynamic team environment.
  • Why this job: Make a real impact in biotech with cutting-edge AI technology.
  • Qualifications: Strong background in protein ML and biocatalysis required.

The predicted salary is between 50000 - 65000 £ per year.

Dayhoff Labs is looking for a Computational Scientist to join their AI team in London or Manchester. This role involves building and applying models in enzyme catalysis for various applications in pharma and industry.

The ideal candidate has a strong background in protein ML and biocatalysis, with experience in translating computational designs to wet lab settings.

Responsibilities include:

  • Owning projects
  • Selecting tools
  • Collaborating closely with wet lab engineers

Competitive compensation and visa sponsorship available for strong candidates.

Biocatalysis AI Scientist - End-to-End Computational Design employer: Dayhoff Labs

At Dayhoff Labs, we pride ourselves on fostering a collaborative and innovative work culture that empowers our employees to excel in their fields. As a Biocatalysis AI Scientist, you will have access to competitive compensation, visa sponsorship, and ample opportunities for professional growth within our dynamic AI team based in vibrant London or Manchester. Join us to contribute to cutting-edge research while enjoying a supportive environment that values creativity and teamwork.

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Contact Details:

Dayhoff Labs Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Biocatalysis AI Scientist - End-to-End Computational Design

Tip Number 1

Network like a pro! Reach out to professionals in the biocatalysis 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! Research Dayhoff Labs and their projects, especially in enzyme catalysis. Be ready to discuss how your background in protein ML can contribute to their goals and how you can bridge the gap between computational designs and wet lab applications.

Tip Number 3

Showcase your projects! If you've worked on relevant projects, create a portfolio or a GitHub repository to demonstrate your skills in computational design and biocatalysis. This will give you an edge and make you memorable to hiring managers.

Tip Number 4

Apply through our website! We encourage you to submit your application directly on our platform. It’s a great way to ensure your application gets the attention it deserves and shows your enthusiasm for the role.

We think you need these skills to ace Biocatalysis AI Scientist - End-to-End Computational Design

Computational Modelling
Enzyme Catalysis
Protein Machine Learning (ML)
Wet Lab Experience
Project Ownership
Tool Selection
Collaboration Skills

Some tips for your application 🫡

Show Off Your Skills:Make sure to highlight your background in protein ML and biocatalysis. We want to see how your experience aligns with the role, so don’t hold back on showcasing your relevant projects and achievements!

Tailor Your Application:Take a moment to customise your CV and cover letter for this specific role. We love seeing candidates who take the time to connect their skills and experiences directly to what we’re looking for at Dayhoff Labs.

Be Clear and Concise:When writing your application, keep it straightforward and to the point. We appreciate clarity, so make sure your passion for enzyme catalysis and computational design shines through without unnecessary fluff.

Apply Through Our Website:We encourage you to submit your application through our website. It’s the best way for us to receive your details and ensures you’re considered for the role. Plus, it’s super easy!

How to prepare for a job interview at Dayhoff Labs

Know Your Biocatalysis Inside Out

Make sure you brush up on your knowledge of enzyme catalysis and protein machine learning. Be ready to discuss specific projects you've worked on, especially those that involved translating computational designs to wet lab settings. This will show your depth of understanding and practical experience.

Showcase Your Project Ownership

Prepare examples of projects where you took the lead. Discuss how you selected tools and methodologies, and how you collaborated with wet lab engineers. This will demonstrate your ability to own projects and work effectively in a team, which is crucial for the role.

Familiarise Yourself with Dayhoff Labs

Research Dayhoff Labs and their current projects in AI and biocatalysis. Understanding their goals and challenges will help you tailor your answers and show genuine interest in the company. Plus, it gives you a chance to ask insightful questions during the interview.

Prepare for Technical Questions

Expect technical questions related to computational design and enzyme catalysis. Brush up on relevant algorithms and tools used in the field. Practising how to explain complex concepts clearly will help you communicate your expertise effectively.