At a Glance
- Tasks: Design and develop ML models for single-cell and multiomic datasets.
- Company: Join a leading team in an inclusive, collaborative environment in Greater London.
- Benefits: Competitive salary, professional development, and a chance to shape research direction.
- Other info: Work closely with wet-lab scientists and stay at the forefront of ML advancements.
- Why this job: Make a real impact by translating biological questions into innovative ML solutions.
- Qualifications: PhD in 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 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 access to cutting-edge resources and the opportunity to work alongside leading experts in the field, all while contributing to impactful research in the vibrant Greater London area. We are committed to supporting our employees' development through continuous learning opportunities and a strong emphasis on interdisciplinary collaboration.
StudySmarter Expert Advice🤫
We think this is how you could land Senior ML Scientist - Cellular Modelling & Single-Cell AI
✨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 passion for the industry.
✨Tip Number 2
Prepare for those interviews! Brush up on your technical skills and be ready to discuss your past projects, especially those involving single-cell and multiomic datasets. We want to see how you can translate complex biological questions into modelling challenges.
✨Tip Number 3
Showcase your work! Create a portfolio or GitHub repository with your ML models and any relevant research. This gives us a tangible way to see your expertise and creativity in action, especially in the context of cellular modelling.
✨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 joining our inclusive and collaborative team in Greater London.
We think you need these skills to ace Senior ML Scientist - Cellular Modelling & Single-Cell AI
Some tips for your application 🫡
Tailor Your CV:Make sure your CV highlights your PhD and any relevant experience in biological data. We want to see how your skills align with the role, so don’t be shy about showcasing your expertise in ML models and single-cell datasets!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you’re excited about the role and how you can contribute to our team. We love seeing candidates who can communicate complex ideas clearly, so keep it engaging and relevant.
Showcase Your Collaboration Skills:Since this role involves working closely with wet-lab scientists, highlight any past experiences where you’ve collaborated across disciplines. We value teamwork, so let us know how you’ve successfully worked with others to achieve common goals.
Apply Through Our Website:We encourage you to apply directly through our website for a smoother application process. It’s the best way for us to receive your application and ensures you don’t miss out on any important updates from our team!
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.
✨Bridge the Gap Between Biology and Tech
Since this role involves working closely with wet-lab scientists, brush up on your biological knowledge. Be ready to translate complex biological questions into modelling challenges, showcasing your ability to communicate effectively across disciplines.
✨Stay Updated on ML Advancements
Demonstrate your passion for the field by discussing recent advancements in machine learning that could impact cellular modelling. Bring examples of how you've applied new techniques or tools in your work to show you're proactive and engaged.
✨Showcase Your Collaborative Spirit
This position thrives in an inclusive, collaborative environment. Share examples from your past experiences where teamwork led to successful outcomes, highlighting your ability to contribute to a research roadmap alongside diverse teams.
