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- Tasks: Lead the integration of biology and machine learning in innovative projects.
- Company: A cutting-edge technology organisation in the UK.
- Benefits: Mentorship opportunities, influence in scientific direction, and a collaborative environment.
- Why this job: Make a real impact by applying ML to biological datasets.
- Qualifications: PhD in computational biology or related field with industry experience.
- Other info: Join a dynamic team focused on scientific rigor and innovation.
The predicted salary is between 43200 - 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 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
✨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 about asking for informational interviews – it’s a great way to get your foot in the door.
✨Tip Number 2
Showcase your expertise! Create a portfolio that highlights your projects and achievements in applying ML to biological datasets. This can really set you apart and give potential employers a taste of what you can bring to the table.
✨Tip Number 3
Prepare for those interviews! Brush up on your technical skills and be ready to discuss how you've led projects in the past. Think about real-world examples where you’ve integrated biology and machine learning – they’ll want to see your scientific rigor in action.
✨Tip Number 4
Don’t forget to apply through our website! We’re always on the lookout for talented individuals like you. Make sure your application stands out by tailoring it to the specific role and showcasing your passion for the intersection of biology and technology.
We think you need these skills to ace Senior Computational Scientist — Applied Biology ML Lead
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 candidates who can demonstrate their understanding of the integration of biology and ML, so make it clear how you fit the bill.
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 computational biology and machine learning concepts. Be ready to discuss how you've applied ML to biological datasets in your previous roles. This will show that you not only understand the theory but can also implement it in real-world scenarios.
✨Showcase Your Leadership Skills
Since this role involves scientific leadership, prepare examples of how you've led projects or mentored others in your field. Think about specific instances where your guidance made a difference in a project’s outcome or team dynamics.
✨Prepare for Technical Questions
Expect some technical questions related to foundational models and their application in biology. Brush up on recent advancements in the field and be ready to discuss how you would approach integrating these models into workflows.
✨Ask Insightful Questions
At the end of the interview, don’t forget to ask questions that demonstrate your interest in the company’s direction and challenges. Inquire about their current projects or how they envision the integration of ML in their workflows. This shows you're not just interested in the role, but also in contributing to their mission.
