At a Glance
- Tasks: Design ML models for single-cell and multiomic datasets while collaborating with wet-lab scientists.
- Company: Join a forward-thinking team in an inclusive, collaborative environment in Greater London.
- Benefits: Competitive salary, professional development, and a chance to shape research direction.
- Other info: Stay at the forefront of ML advancements and contribute to exciting research projects.
- Why this job: Make a real impact in the field of biology through innovative machine learning solutions.
- Qualifications: PhD in a relevant field and expertise in biological data analysis.
The predicted salary is between 60000 - 80000 € per year.
Relation is seeking a Senior Machine Learning Scientist with a PhD and expertise in biological data to develop ML models for single-cell and multiomic datasets. The candidate will work closely with wet-lab scientists, contribute to shaping the team's research roadmap, and communicate findings effectively across disciplines.
Responsibilities include:
- Designing ML models
- Staying current with ML advancements
- Translating biological questions into modelling challenges
This role offers a chance to work in an inclusive, collaborative environment in Greater London.
Senior ML Scientist - Cellular Modelling & Single-Cell AI in London employer: Relation
At Relation, we pride ourselves on being an excellent employer by fostering a collaborative and inclusive work culture that encourages innovation and professional growth. Our team members benefit from working at the forefront of machine learning in the vibrant Greater London area, with ample opportunities for career development and the chance to make a meaningful impact in the field of biological data science.
StudySmarter Expert Advice🤫
We think this is how you could land Senior ML Scientist - Cellular Modelling & Single-Cell AI in London
✨Tip Number 1
Network like a pro! Reach out to professionals in the field of machine learning and biology on platforms like LinkedIn. Join relevant groups and participate in discussions to get your name out there and show 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 ML interview questions and thinking about how your work aligns with the role at Relation.
✨Tip Number 3
Showcase your passion for the field! When you get the chance, share your thoughts on recent advancements in ML and how they can impact biological research. This will demonstrate your enthusiasm and keep you top of mind for the hiring team.
✨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, it shows you’re genuinely interested in being part of our inclusive and collaborative environment.
We think you need these skills to ace Senior ML Scientist - Cellular Modelling & Single-Cell AI in London
Some tips for your application 🫡
Show Off Your Expertise:Make sure to highlight your PhD and any relevant experience with biological data in your application. We want to see how your background aligns with the role of developing ML models for single-cell and multiomic datasets.
Tailor Your Application:Don’t just send a generic CV and cover letter! We love it when candidates customise their applications to reflect our job description. Mention specific skills or projects that relate to designing ML models and working with wet-lab scientists.
Communicate Clearly:Since this role involves communicating findings across disciplines, make sure your application showcases your ability to explain complex concepts simply. We appreciate clarity and conciseness in your writing!
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 inclusive, collaborative environment.
How to prepare for a job interview at Relation
✨Know Your ML Models Inside Out
Make sure you can discuss your experience with various machine learning models, especially those relevant to single-cell and multiomic datasets. Be prepared to explain how you've designed and implemented these models in past projects, as well as any challenges you faced and how you overcame them.
✨Bridge the Gap Between Biology and Tech
Since this role involves working closely with wet-lab scientists, it’s crucial to demonstrate your understanding of biological concepts. Brush up on key biological terms and be ready to translate complex biological questions into modelling challenges. This will show that you can effectively communicate across disciplines.
✨Stay Updated on ML Advancements
The field of machine learning is constantly evolving, so make sure you’re familiar with the latest advancements and trends. Mention any recent papers or technologies that excite you during the interview. This shows your passion for the field and your commitment to continuous learning.
✨Prepare Questions for Them
Interviews are a two-way street, so come prepared with thoughtful questions about the team’s research roadmap and collaborative environment. This not only demonstrates your interest in the role but also helps you assess if the company culture aligns with your values.
