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- Tasks: Lead scientific efforts in translating models into impactful drug discovery workflows.
- Company: Innovative biotech firm focused on cutting-edge biology and machine learning.
- Benefits: Competitive salary, mentorship opportunities, and potential for career growth.
- Why this job: Make a real-world impact by merging biology with machine learning.
- Qualifications: PhD or MSc in relevant fields with industry experience in ML and biology.
- Other info: Fast-paced environment with opportunities to mentor and collaborate.
The predicted salary is between 48000 - 72000 £ per year.
We’re looking for a Senior Computational Scientist to help translate our foundation models into impactful, real-world discovery workflows. In this role, you’ll provide scientific leadership across model evaluation and applied use cases, ensuring our work stays grounded in the most relevant challenges in drug development and translational research. You’ll join as a senior individual contributor, reporting to the Head of Computational Biology, with the opportunity to grow into management as the team scales. You will act as a key scientific partner to our research team, mentor and support junior colleagues, and work closely with Product and Business Development to turn cutting-edge biology and ML into deliverables that matter for customers.
Requirements:
- PhD in Computational Biology, Machine Learning, Bioinformatics, or a related field, with a strong focus on single-cell and ML, and 2+ years of industry (non-academic) experience OR MSc in a relevant field and 5+ years of industry experience applying ML to single-cell/omics problems
- Strong understanding of ML/AI methods for biological data (e.g., transformers, VAEs, diffusion models, classical ML)
- Hands-on experience with modern ML frameworks such as PyTorch (or equivalent)
- Excellent communication skills — able to translate complex science into clear, actionable insights for technical and non-technical stakeholders
- Comfortable in a fast-paced, high-iteration environment, moving quickly from prototype to experiment to insight
- Strong passion for building at the intersection of biology and machine learning
Senior Scientist (Comp. Bio/ML) in London employer: Helical
Contact Detail:
Helical Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Scientist (Comp. Bio/ML) in London
✨Tip Number 1
Network like a pro! Reach out to your connections in the computational biology and machine learning fields. Attend industry meetups or webinars, and don’t be shy about introducing yourself to potential colleagues or mentors. You never know who might have the inside scoop on job openings!
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects related to ML and bioinformatics. Whether it’s a GitHub repository or a personal website, having tangible examples of your work can really set you apart from the competition.
✨Tip Number 3
Prepare for interviews by brushing up on your communication skills. Practice explaining complex concepts in simple terms, as you’ll need to convey your ideas clearly to both technical and non-technical stakeholders. Mock interviews with friends can help you nail this!
✨Tip Number 4
Don’t forget to apply through our website! We’re always on the lookout for passionate individuals who want to make an impact in drug development and translational research. Your next big opportunity could be just a click away!
We think you need these skills to ace Senior Scientist (Comp. Bio/ML) in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in computational biology and machine learning. We want to see how your skills align with the role, so don’t be shy about showcasing relevant projects or achievements!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about the intersection of biology and ML. We love seeing candidates who can communicate complex ideas clearly, so keep it engaging and straightforward.
Showcase Your Communication Skills: Since this role involves translating complex science for various stakeholders, make sure to highlight your communication skills in your application. We appreciate candidates who can break down intricate concepts into digestible insights!
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 role. Plus, it shows you’re keen on joining our team!
How to prepare for a job interview at Helical
✨Know Your Models Inside Out
Make sure you’re well-versed in the foundation models relevant to the role. Brush up on your understanding of ML methods like transformers and VAEs, and be ready to discuss how you've applied these in real-world scenarios, especially in drug development.
✨Prepare for Technical Questions
Expect to dive deep into technical discussions about single-cell data and ML frameworks like PyTorch. Practise explaining complex concepts in a way that’s easy to understand for both technical and non-technical folks, as this will showcase your communication skills.
✨Showcase Your Leadership Skills
As a senior individual contributor, you’ll need to demonstrate your ability to mentor and support junior colleagues. Think of examples from your past experience where you’ve taken the lead or helped others grow, and be ready to share those stories.
✨Emphasise Your Passion
Let your enthusiasm for the intersection of biology and machine learning shine through. Be prepared to discuss why you’re excited about this field and how you envision contributing to impactful discovery workflows in the company.
