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- Tasks: Lead the application of machine learning to real-world biological workflows.
- Company: A growing tech organisation at the forefront of machine learning and biology.
- Benefits: Influence scientific direction, mentor juniors, and collaborate with diverse teams.
- Why this job: Make a real impact by translating complex data into actionable insights.
- Qualifications: PhD or MSc in relevant fields with hands-on ML experience.
- Other info: Dynamic role with opportunities for leadership as the team grows.
The predicted salary is between 54000 - 84000 £ per year.
We have an exciting opportunity within a growing technology-led organisation applying advanced machine learning to complex biological and scientific data. The focus is on translating foundational models into practical, real-world workflows that support discovery, development, and decision-making in highly technical environments.
As a Senior Computational Scientist, you will provide scientific leadership at the intersection of biology and machine learning, ensuring applied work remains grounded in real-world challenges while delivering outputs that are usable, interpretable, and impactful.
Benefits- A senior individual contributor role with clear influence over scientific direction
- Ownership of applied model evaluation and real-world use cases
- Close collaboration with research, product, and commercial-facing teams
- The opportunity to mentor junior scientists and shape best practices
- Exposure to cutting-edge ML methods applied to complex biological data
- Scope to progress into people or technical leadership as the team scales
- Lead the application and evaluation of foundation models in real-world scientific workflows
- Ensure scientific rigor and relevance across applied modelling efforts
- Act as a key scientific partner to research and engineering teams
- Translate complex biological and ML concepts into clear, actionable insights
- Support and mentor junior team members
- Collaborate with product and business-facing teams to turn research outputs into deliverables
- PhD in Computational Biology, Bioinformatics, Machine Learning, or a related field with industry experience or MSc in a relevant field with substantial industry experience applying ML to biological data
- Experience with single-cell
- Strong understanding of ML/AI methods for biological datasets (e.g. transformers, VAEs, diffusion models, classical ML)
- Hands-on experience with modern ML frameworks such as PyTorch or equivalent
- Ability to communicate complex scientific ideas to both technical and non-technical audiences
- Comfort operating in fast-paced, iterative environments
- A strong interest in building at the intersection of biology and machine learning
Senior Computational Scientist in London employer: BioTalent
Contact Detail:
BioTalent Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Computational Scientist in London
✨Tip Number 1
Network like a pro! Reach out to your connections in the industry, attend relevant meetups, and engage with professionals on platforms like LinkedIn. We can’t stress enough how personal connections can lead to job opportunities.
✨Tip Number 2
Prepare for those interviews! Research the company and its projects, especially how they apply machine learning to biological data. We recommend practising common interview questions and even some technical challenges related to ML methods.
✨Tip Number 3
Showcase your expertise! Create a portfolio or GitHub repository that highlights your projects, especially those involving single-cell analysis or advanced ML techniques. This gives us a tangible way to see your skills in action.
✨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, we love seeing candidates who are proactive about their job search!
We think you need these skills to ace Senior Computational Scientist in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV reflects the skills and experiences that align with the Senior Computational Scientist role. Highlight your expertise in machine learning and any relevant projects you've worked on, especially those involving biological data.
Craft a Compelling Cover Letter: Use your cover letter to tell us why you're passionate about the intersection of biology and machine learning. Share specific examples of how you've applied ML methods in real-world scenarios and how you can contribute to our team.
Showcase Your Communication Skills: Since you'll be translating complex concepts for various audiences, demonstrate your ability to communicate clearly in your application. Use straightforward language and avoid jargon where possible to make your points accessible.
Apply Through Our Website: We encourage you to apply directly through our website. This way, we can ensure your application gets the attention it deserves, and you can easily keep track of your application status!
How to prepare for a job interview at BioTalent
✨Know Your Stuff
Make sure you brush up on your knowledge of machine learning methods, especially those relevant to biological datasets. Be ready to discuss specific models like transformers or VAEs and how you've applied them in real-world scenarios.
✨Showcase Your Leadership Skills
As a Senior Computational Scientist, you'll be expected to lead and mentor. Prepare examples of how you've guided junior scientists or collaborated with cross-functional teams. Highlight your ability to translate complex ideas into actionable insights.
✨Prepare for Technical Questions
Expect some deep dives into your technical expertise. Practice explaining your experience with ML frameworks like PyTorch and how you've tackled challenges in applying these models to biological data. Clear communication is key!
✨Understand the Company’s Vision
Research the organisation's focus on technology-led solutions in biology. Be ready to discuss how your background aligns with their goals and how you can contribute to translating foundational models into impactful workflows.
