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- Tasks: Design innovative ML models and collaborate on AI applications in drug discovery.
- Company: Leading biotechnology firm with a mission-driven culture.
- Benefits: Hybrid working environment, growth opportunities, and collaborative teams.
- Why this job: Make a real impact in life sciences using cutting-edge AI technologies.
- Qualifications: PhD in a relevant field and expertise in deep learning.
- Other info: Join a dynamic team focused on innovation and scientific advancement.
The predicted salary is between 48000 - 72000 £ per year.
A leading biotechnology firm is seeking a Research Scientist (Machine Learning) to work on innovative AI applications in drug discovery. The role involves designing novel ML models, collaborating with interdisciplinary teams, and applying deep learning to scientific problems.
Ideal candidates will have a PhD in a relevant field and expertise in deep learning technologies. This position offers a hybrid working environment, emphasizing growth and collaboration in a mission-driven culture.
Senior ML Research Scientist, Life Sciences (Hybrid) in London employer: NLP PEOPLE
Contact Detail:
NLP PEOPLE Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior ML Research Scientist, Life Sciences (Hybrid) in London
✨Tip Number 1
Network like a pro! Reach out to professionals in the biotech and AI fields on LinkedIn. Join relevant groups and engage in discussions to get your name out there and show your passion for ML in drug discovery.
✨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 conversation starter during interviews and demonstrates your hands-on experience in the field.
✨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, applying directly shows your enthusiasm for joining our mission-driven culture.
We think you need these skills to ace Senior ML Research Scientist, Life Sciences (Hybrid) in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with machine learning and deep learning technologies. We want to see how your skills align with the innovative AI applications in drug discovery that we're working on.
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Tell us why you're passionate about life sciences and how your PhD has prepared you for this role. We love seeing candidates who can connect their research to real-world applications.
Showcase Collaboration Skills: Since this role involves working with interdisciplinary teams, be sure to mention any collaborative projects you've been part of. We value teamwork and want to know how you can contribute to our mission-driven culture.
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 this exciting opportunity in our hybrid working environment.
How to prepare for a job interview at NLP PEOPLE
✨Know Your ML Models Inside Out
Make sure you can discuss your experience with various machine learning models in detail. Be prepared to explain how you've designed and implemented these models, especially in the context of drug discovery. This will show your depth of knowledge and passion for the field.
✨Showcase Your Collaborative Spirit
Since the role involves working with interdisciplinary teams, be ready to share examples of past collaborations. Highlight how you’ve effectively communicated complex ideas to non-experts and how you’ve contributed to team success. This will demonstrate that you’re a team player who thrives in a collaborative environment.
✨Prepare for Technical Questions
Expect to face technical questions related to deep learning technologies. Brush up on key concepts, algorithms, and recent advancements in the field. Practising coding problems or case studies relevant to life sciences can also give you an edge during the interview.
✨Align with Their Mission-Driven Culture
Research the company’s mission and values, and think about how your personal goals align with theirs. During the interview, express your enthusiasm for contributing to innovative AI applications in drug discovery. This will show that you’re not just looking for a job, but are genuinely interested in their mission.
