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- Tasks: Apply machine learning to molecular datasets and design innovative modelling experiments.
- Company: Tech-focused company in the UK with a passion for innovation.
- Benefits: Competitive compensation, hybrid/remote work, and ownership of your projects.
- Why this job: Make a real impact in life sciences while working with cutting-edge technology.
- Qualifications: Experience in machine learning and collaboration with diverse teams.
- Other info: Enjoy a dynamic work environment with opportunities for growth.
The predicted salary is between 36000 - 60000 £ per year.
A technology-focused company in the UK seeks a professional to apply machine-learning methods to molecular datasets. The role requires experience in building robust solutions and collaboration with interdisciplinary teams.
Responsibilities include:
- Designing modelling experiments
- Assessing model performance
- Contributing to maintainable ML codebases
This position offers ownership over technical work and competitive compensation in a hybrid or remote working context.
Applied ML Scientist - Molecular Modelling & Life Sciences in London employer: S3 Science Recruitment
Contact Detail:
S3 Science Recruitment Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Applied ML Scientist - Molecular Modelling & Life Sciences in London
✨Tip Number 1
Network like a pro! Reach out to professionals in the field of molecular modelling and life sciences on platforms like LinkedIn. A friendly message can open doors to opportunities that aren’t even advertised yet.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your machine-learning projects, especially those related to molecular datasets. This will give potential employers a taste of what you can bring to the table.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and soft skills. Be ready to discuss your experience with building robust solutions and collaborating with interdisciplinary teams. Practice makes perfect!
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of exciting opportunities waiting for you. Plus, it’s a great way to ensure your application gets the attention it deserves.
We think you need these skills to ace Applied ML Scientist - Molecular Modelling & Life Sciences in London
Some tips for your application 🫡
Show Off Your Skills: Make sure to highlight your experience with machine-learning methods and molecular datasets. We want to see how you've built robust solutions in the past, so don’t hold back on those details!
Collaboration is Key: Since this role involves working with interdisciplinary teams, let us know about your teamwork experiences. Share examples of how you’ve collaborated effectively with others to achieve common goals.
Be Clear and Concise: When writing your application, keep it clear and to the point. We appreciate well-structured applications that make it easy for us to see your qualifications and fit for the role.
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 position without any hiccups!
How to prepare for a job interview at S3 Science Recruitment
✨Know Your ML Fundamentals
Brush up on your machine learning fundamentals, especially those relevant to molecular modelling. Be prepared to discuss specific algorithms you've used and how they apply to real-world datasets. This shows you not only understand the theory but can also implement it effectively.
✨Showcase Your Collaboration Skills
Since the role involves working with interdisciplinary teams, be ready to share examples of past collaborations. Highlight how you communicated complex ideas to non-technical team members and how you contributed to a successful project outcome.
✨Prepare for Technical Questions
Expect technical questions that assess your problem-solving skills and coding abilities. Practice coding challenges related to ML and be ready to explain your thought process. This will demonstrate your ability to build robust solutions and maintainable codebases.
✨Ask Insightful Questions
Prepare thoughtful questions about the company's approach to molecular datasets and their expectations for the role. This not only shows your interest but also helps you gauge if the company aligns with your career goals and values.
