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- Tasks: Design and develop ML models to revolutionise drug discovery.
- Company: Leading biotech company in London with a focus on innovation.
- Benefits: Flexible hybrid work, competitive salary, and opportunities for professional growth.
- Why this job: Join an interdisciplinary team and make a real impact in life sciences.
- Qualifications: PhD and expertise in deep learning required.
- Other info: Collaborative environment that encourages creativity and development.
The predicted salary is between 36000 - 60000 £ per year.
A leading biotech company in London is seeking a Research Scientist (Machine Learning) to join an interdisciplinary team. In this role, you will design and develop ML models to transform drug discovery, applying innovative approaches in a collaborative environment that fosters growth.
A PhD and proven expertise in deep learning are required. This is a hybrid position, allowing for flexibility between in-office and remote work.
Hybrid ML Research Scientist — Life Sciences & Drug Discovery in City of London employer: BioTalent Ltd
Contact Detail:
BioTalent Ltd Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Hybrid ML Research Scientist — Life Sciences & Drug Discovery in City of London
✨Tip Number 1
Network like a pro! Reach out to professionals in the biotech 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 deep learning knowledge and be ready to discuss your past projects. We recommend practising common interview questions and even doing mock interviews with friends or mentors.
✨Tip Number 3
Showcase your work! Create a portfolio of your ML models and research projects. This can be a great way to demonstrate your skills and passion for drug discovery, making you stand out to potential employers.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of opportunities that might just be the perfect fit for you. Plus, it’s a great way to ensure your application gets seen by the right people.
We think you need these skills to ace Hybrid ML Research Scientist — Life Sciences & Drug Discovery in City of London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in machine learning and drug discovery. We want to see how your skills align with the role, so don’t be shy about showcasing relevant projects or research!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about ML in life sciences and how you can contribute to our team. Keep it engaging and personal – we love to see your personality!
Showcase Your PhD Work: Since a PhD is a must-have for this role, make sure to detail your research and any deep learning applications you've worked on. We’re keen to understand the impact of your work and how it relates to drug discovery.
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’s super easy – just follow the prompts!
How to prepare for a job interview at BioTalent Ltd
✨Know Your ML Models Inside Out
Make sure you can discuss your experience with various machine learning models, especially deep learning techniques. Be ready to explain how you've applied these models in past projects, particularly in the context of life sciences and drug discovery.
✨Showcase Your Collaborative Spirit
Since this role is all about working in an interdisciplinary team, prepare examples that highlight your ability to collaborate effectively. Think of times when you worked with professionals from different backgrounds and how you contributed to a successful outcome.
✨Stay Updated on Industry Trends
Research the latest advancements in machine learning and drug discovery. Being able to discuss current trends or breakthroughs during your interview will show your passion for the field and your commitment to continuous learning.
✨Prepare Questions for Them
Interviews are a two-way street! Prepare thoughtful questions about the company's approach to ML in drug discovery, their team dynamics, and how they support professional growth. This shows you're genuinely interested and helps you assess if it's the right fit for you.
