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- Tasks: Lead the integration of biology and machine learning in real-world applications.
- Company: A tech-driven organisation in the UK focused on innovation.
- Benefits: Mentorship opportunities, influence in scientific direction, and a collaborative environment.
- Why this job: Make a significant impact by applying ML to biological datasets.
- Qualifications: PhD in computational biology or related field with industry experience.
- Other info: Join a dynamic team and shape the future of applied biology.
The predicted salary is between 48000 - 72000 £ per year.
A technology-led organisation in the UK seeks a Senior Computational Scientist to provide scientific leadership in the integration of biology and machine learning. This role involves leading the application of foundational models in real-world workflows and ensuring scientific rigor.
Ideal candidates will have a PhD in computational biology or a related field, with strong industry experience applying ML to biological datasets. The position offers opportunities for mentorship and influence in scientific direction.
Senior Computational Scientist — Applied Biology ML Lead in London employer: BioTalent
Contact Detail:
BioTalent Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Computational Scientist — Applied Biology ML Lead in London
✨Tip Number 1
Network like a pro! Reach out to professionals in the field of computational biology and machine learning. Attend industry events or webinars, and don’t be shy to slide into DMs on LinkedIn – you never know who might have the inside scoop on job openings.
✨Tip Number 2
Showcase your expertise! Create a portfolio that highlights your projects involving ML and biological datasets. This could be anything from research papers to GitHub repositories. When you’re in interviews, refer back to these examples to demonstrate your hands-on experience.
✨Tip Number 3
Prepare for technical interviews! Brush up on your knowledge of foundational models and their applications in biology. Practice explaining complex concepts in simple terms, as you might need to communicate your ideas to non-technical stakeholders.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of opportunities waiting for talented individuals like you. Plus, applying directly can sometimes give you an edge over other candidates. So, get your application in and let’s make some waves in the world of applied biology!
We think you need these skills to ace Senior Computational Scientist — Applied Biology ML Lead in London
Some tips for your application 🫡
Show Off Your Expertise: Make sure to highlight your PhD and any relevant experience in computational biology or machine learning. We want to see how you've applied your skills in real-world scenarios, so don’t hold back!
Tailor Your Application: Take a moment to customise your CV and cover letter for this role. We’re looking for someone who can lead the integration of biology and ML, so make it clear how your background aligns with our needs.
Be Clear and Concise: When writing your application, keep it straightforward. We appreciate clarity, so avoid jargon unless it’s necessary. Let us see your passion for the field without getting lost in complex language.
Apply Through Our Website: We encourage you to submit your application through our website. It’s the best way for us to receive your details and ensures you’re considered for the role. Plus, it’s super easy!
How to prepare for a job interview at BioTalent
✨Know Your Stuff
Make sure you brush up on your knowledge of computational biology and machine learning. Be ready to discuss specific projects where you've applied ML to biological datasets, as this will show your practical experience and understanding of the field.
✨Showcase Leadership Skills
Since this role involves scientific leadership, prepare examples of how you've led teams or projects in the past. Highlight your mentorship experiences and how you've influenced scientific direction in previous roles.
✨Prepare for Technical Questions
Expect some technical questions that assess your problem-solving skills and understanding of foundational models. Practise explaining complex concepts in a simple way, as this will demonstrate your ability to communicate effectively with both technical and non-technical audiences.
✨Ask Insightful Questions
At the end of the interview, have a few thoughtful questions ready about the company's approach to integrating biology and ML. This shows your genuine interest in the role and helps you gauge if the company aligns with your career goals.
