At a Glance
- Tasks: Lead ML advancements in biopharma, focusing on co-folding and affinity prediction.
- Company: Join SandboxAQ, a pioneer in AI-driven drug discovery.
- Benefits: Competitive salary, health benefits, and opportunities for professional growth.
- Other info: Be part of a dynamic team making impactful contributions.
- Why this job: Drive breakthroughs in drug discovery and shape the future of biopharma.
- Qualifications: PhD with 4+ years in AI and drug discovery.
The predicted salary is between 70000 - 90000 £ per year.
SandboxAQ is seeking a Staff ML Research Scientist to lead advancements in ML biopharma capabilities focused on co-folding and affinity prediction. You will drive breakthroughs in structure prediction, integrate cutting-edge models into drug discovery workflows, and shape the scientific vision of the company.
The ideal candidate holds a PhD and has over four years of relevant industrial experience with a strong track record of impactful contributions in AI and drug discovery.
Senior ML Scientist - Protein-Ligand Co-Folding employer: Sandboxaq
At SandboxAQ, we pride ourselves on being an exceptional employer that fosters innovation and collaboration in the biopharma sector. Our vibrant work culture encourages continuous learning and professional growth, offering employees the chance to lead groundbreaking projects in AI and drug discovery. Located in a dynamic environment, we provide unique opportunities for impactful contributions that drive advancements in healthcare.
StudySmarter Expert Advice🤫
We think this is how you could land Senior ML Scientist - Protein-Ligand Co-Folding
✨Tip Number 1
Network like a pro! Reach out to professionals in the biopharma and ML 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 technical skills and be ready to discuss your past projects in detail. We recommend practising common interview questions related to ML and drug discovery to really impress.
✨Tip Number 3
Showcase your work! Create a portfolio or GitHub repository that highlights your contributions to AI and drug discovery. This will give potential employers a tangible sense of your skills and experience.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who take the initiative to connect directly with us.
We think you need these skills to ace Senior ML Scientist - Protein-Ligand Co-Folding
Some tips for your application 🫡
Tailor Your CV:Make sure your CV highlights your relevant experience in ML and biopharma. We want to see how your background aligns with the role, so don’t be shy about showcasing your achievements in AI and drug discovery!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you’re passionate about co-folding and affinity prediction. We love seeing candidates who can articulate their vision and how they can contribute to our scientific goals.
Showcase Your Research Impact:When detailing your past work, focus on the impact of your contributions. We’re looking for candidates with a strong track record, so highlight any breakthroughs or advancements you’ve made in structure prediction or related fields.
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 shows you’re keen on joining our team!
How to prepare for a job interview at Sandboxaq
✨Know Your Stuff
Make sure you brush up on the latest advancements in machine learning, especially in biopharma. Familiarise yourself with co-folding techniques and affinity prediction models. Being able to discuss recent breakthroughs will show your passion and expertise.
✨Showcase Your Experience
Prepare to talk about your previous projects and how they relate to drug discovery. Highlight specific contributions you've made in AI that had a significant impact. Use concrete examples to demonstrate your problem-solving skills and innovative thinking.
✨Align with Their Vision
Research SandboxAQ’s scientific vision and values. Think about how your background and goals align with their mission. Be ready to discuss how you can contribute to shaping their future in ML biopharma capabilities.
✨Ask Insightful Questions
Prepare thoughtful questions that show your interest in the role and the company. Inquire about their current projects, challenges they face in drug discovery, or how they envision the future of ML in biopharma. This not only shows your enthusiasm but also helps you gauge if it’s the right fit for you.
