At a Glance
- Tasks: Lead advancements in drug discovery using innovative ML architectures.
- Company: Join SandboxAQ, a leader in AI-driven solutions for healthcare.
- Benefits: Competitive salary, professional growth, and a diverse, inclusive workplace.
- Other info: Mentor junior researchers and thrive in a dynamic research environment.
- Why this job: Make a real impact in healthcare by advancing drug discovery with cutting-edge technology.
- Qualifications: PhD in a relevant field and hands-on ML experience required.
The predicted salary is between 70000 - 90000 £ per year.
SandboxAQ is seeking a Staff ML Research Scientist to lead advancements in drug discovery. This role focuses on developing groundbreaking ML architectures for protein-ligand co-folding and affinity prediction.
With a PhD in a relevant field and extensive hands-on experience, the ideal candidate will architect ML capabilities and mentor junior researchers.
SandboxAQ offers competitive compensation and supports professional growth in a diverse and inclusive environment.
Staff ML Research Scientist, Co-Folding & Affinity in London employer: Sandboxaq
At SandboxAQ, we pride ourselves on being an exceptional employer, offering a dynamic work culture that fosters innovation and collaboration in the heart of the UK. Our commitment to employee growth is evident through our investment in cutting-edge technology and continuous learning opportunities, ensuring that you can thrive as a Senior ML Research Engineer while contributing to groundbreaking advancements in life sciences AI. Join us to be part of a team that values creativity and impact, where your work directly influences the future of drug and materials discovery.
StudySmarter Expert Advice🤫
We think this is how you could land Staff ML Research Scientist, Co-Folding & Affinity in London
✨Tip Number 1
Network like a pro! Reach out to professionals in the ML and drug discovery fields on platforms like LinkedIn. A friendly chat can open doors and give you insights that might just land you that Staff ML Research Scientist role.
✨Tip Number 2
Show off your skills! Prepare a portfolio showcasing your previous projects, especially those related to protein-ligand co-folding and affinity prediction. This will help us see your hands-on experience and innovative thinking in action.
✨Tip Number 3
Practice makes perfect! Get ready for technical interviews by brushing up on your ML architectures and problem-solving skills. Mock interviews with friends or mentors can really boost your confidence and performance.
✨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 genuinely interested in joining our diverse and inclusive team at SandboxAQ.
We think you need these skills to ace Staff ML Research Scientist, Co-Folding & Affinity in London
Some tips for your application 🫡
Tailor Your CV:Make sure your CV highlights your relevant experience in ML architectures and drug discovery. We want to see how your background aligns with the role, so don’t be shy about showcasing your PhD and any hands-on projects you've tackled.
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you’re passionate about protein-ligand co-folding and affinity prediction. We love seeing candidates who can connect their personal motivations to our mission at SandboxAQ.
Showcase Your Mentorship Skills:Since this role involves mentoring junior researchers, make sure to include any relevant experience you have in guiding others. We value collaboration and growth, so let us know how you’ve helped others develop their skills.
Apply Through Our Website:We encourage you to apply directly through our website for the best chance of getting noticed. It’s the easiest way for us to keep track of your application and ensure it reaches the right people!
How to prepare for a job interview at Sandboxaq
✨Know Your ML Stuff
Make sure you brush up on the latest advancements in machine learning, especially around protein-ligand co-folding and affinity prediction. Be ready to discuss your previous projects and how they relate to the role at SandboxAQ.
✨Showcase Your Mentoring Skills
Since this role involves mentoring junior researchers, think of examples where you've successfully guided others. Prepare to share your approach to mentorship and how you foster a collaborative environment.
✨Prepare for Technical Questions
Expect some deep technical questions about ML architectures. Practice explaining complex concepts clearly and concisely, as you'll need to demonstrate not just knowledge but also the ability to communicate effectively.
✨Align with Their Values
SandboxAQ values diversity and inclusion, so be prepared to discuss how you contribute to a positive team culture. Think about experiences that highlight your commitment to these values and how they can enhance the workplace.
