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- Tasks: Develop machine learning models for single-cell and multiomic datasets.
- Company: Relation Therapeutics Limited, a pioneering firm in drug discovery.
- Benefits: Opportunity to work on groundbreaking projects in a collaborative environment.
- Other info: Join a dynamic team focused on innovative biological applications.
- Why this job: Make a real impact in drug discovery with cutting-edge technology.
- Qualifications: PhD in a relevant field and experience with Python and ML frameworks.
The predicted salary is between 60000 - 80000 £ per year.
Relation Therapeutics Limited based in Greater London is seeking a Senior Machine Learning Scientist. In this role, you will develop machine learning approaches purpose-built for single-cell and multiomic datasets. Strong understanding of biological data is essential, along with a PhD in a relevant field. The position offers an opportunity to contribute to groundbreaking work in drug discovery and to collaborate in a matrixed, interdisciplinary environment.
Applicants should have hands-on experience with Python and modern ML frameworks, aiming to make impactful contributions in biological applications.
Senior ML Scientist — Cellular Modelling & Multiomics in London employer: Relation Therapeutics Limited
Contact Detail:
Relation Therapeutics Limited Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior ML Scientist — Cellular Modelling & Multiomics in London
✨Tip Number 1
Network like a pro! Reach out to professionals in the field of machine learning and drug discovery. Attend meetups or webinars, and don’t be shy to slide into DMs on LinkedIn. We all know that sometimes it’s not just what you know, but who you know!
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects related to single-cell and multiomic datasets. Whether it's a GitHub repo or a personal website, let your work speak for itself. We want to see your hands-on experience with Python and ML frameworks!
✨Tip Number 3
Prepare for those interviews! Brush up on your knowledge of biological data and be ready to discuss how your expertise can contribute to drug discovery. We recommend practising common interview questions and even doing mock interviews with friends or mentors.
✨Tip Number 4
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 apply directly. Don’t miss out on this opportunity to join us at Relation Therapeutics!
We think you need these skills to ace Senior ML Scientist — Cellular Modelling & Multiomics in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with machine learning and biological data. 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 cellular modelling and multiomics. We love seeing enthusiasm for drug discovery and how you can contribute to our team.
Showcase Your Technical Skills: Since this role requires hands-on experience with Python and ML frameworks, make sure to mention specific tools and technologies you’ve worked with. We’re keen to know how you’ve applied these in real-world scenarios!
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. Don’t miss out!
How to prepare for a job interview at Relation Therapeutics Limited
✨Know Your Biology
Make sure you brush up on your biological data knowledge. Since the role focuses on single-cell and multiomic datasets, be prepared to discuss how your understanding of biology can influence machine learning approaches. This will show that you’re not just a tech whiz but also someone who can apply their skills in a meaningful way.
✨Showcase Your Python Skills
Since hands-on experience with Python is crucial, come ready to discuss specific projects where you've used Python and modern ML frameworks. Be prepared to explain your thought process and the impact of your work. If possible, bring along examples or code snippets to demonstrate your expertise.
✨Prepare for Interdisciplinary Collaboration
This role involves working in a matrixed environment, so think about your past experiences collaborating with different teams. Be ready to share examples of how you’ve successfully worked with biologists, data scientists, or other professionals. Highlight your communication skills and adaptability.
✨Impactful Contributions Matter
The position is all about making impactful contributions in drug discovery. Think about how your previous work has led to significant outcomes. Prepare to discuss specific instances where your machine learning solutions have made a difference, especially in biological applications. This will help you stand out as a candidate who understands the bigger picture.