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- Tasks: Work with biopharma teams to deploy AI-driven biology solutions and drive real-world breakthroughs.
- Company: Helical is revolutionising bio foundation models for pharma, backed by top VCs and industry leaders.
- Benefits: Become a co-owner, access cutting-edge AI tools, and join a fast-growing, innovative team.
- Other info: Join our London or Luxembourg office and be part of an inspiring, collaborative culture.
- Why this job: Be at the forefront of AI and biology, making impactful contributions in drug discovery.
- Qualifications: MSc or PhD in Computational Biology, strong Python skills, and experience with transcriptomic data.
The predicted salary is between 36000 - 60000 £ per year.
Computational Biologist & Machine Learning (customer-facing)
Computational Biologist & Machine Learning (customer-facing)
5 days ago Be among the first 25 applicants
Get AI-powered advice on this job and more exclusive features.
Helical is on a mission to democratize bio foundation models.
Biology is entering its ‘software moment’ — and our mission is to power the in-silico labs of tomorrow.
Helical is building the application layer for Bio Foundation Models in pharma. Our therapeutic-area agnostic platform for Bio Foundation models empowers pharma teams to deploy single-cell, RNA, and DNA foundation models for use cases like target ID, biomarker discovery, patient stratification, and mRNA design.
We’re now hiring a customer-facing computational biologist as a key strategic hit for the core Bio x AI team.
Helical raised over 3M€ in its Seed-funding round from leading VCs in France and the US as well as prominent Business Angels s.a. the CEO of HuggingFace, the CEO & CTO of Cohere, …
Join us to be part of the early-stage fast-growing founding team of Helical driving groundbreaking innovation and play a decisive role in contributing towards our ambitious goals, while being a part of an inspiring, collaborative and entrepreneurial culture in the heart of Europe.
Our github: https://github.com/helicalAI/helical/
About Us
UK or Luxembourg · Full-time
Helical is on a mission to democratize bio foundation models.
Biology is entering its ‘software moment’ — and our mission is to power the in-silico labs of tomorrow.
Helical is building the application layer for Bio Foundation Models in pharma. Our therapeutic-area agnostic platform for Bio Foundation models empowers pharma teams to deploy single-cell, RNA, and DNA foundation models for use cases like target ID, biomarker discovery, patient stratification, and mRNA design.
We’re now hiring a customer-facing computational biologist as a key strategic hit for the core Bio x AI team.
Helical raised over 3M€ in its Seed-funding round from leading VCs in France and the US as well as prominent Business Angels s.a. the CEO of HuggingFace, the CEO & CTO of Cohere, …
Join us to be part of the early-stage fast-growing founding team of Helical driving groundbreaking innovation and play a decisive role in contributing towards our ambitious goals, while being a part of an inspiring, collaborative and entrepreneurial culture in the heart of Europe.
Our github: https://github.com/helicalAI/helical/
Our Website: https://www.helical-ai.com/
Your Role:
You’ll work directly with top-tier biopharma teams to deploy Helical’s platform and uncover novel biology using Bio Foundation Models. From single-cell to bulk and RNA-seq data, you’ll help drive real-world breakthroughs in target ID, patient stratification, and RNA sequence design.
This is a fast-paced, high-ownership role. You’ll prototype with the latest AI models, move from concept to insight in days, and work closely with product and engineering to shape what we build next.
If you want to operate at the frontier of AI x Bio — and turn cutting-edge models into real scientific impact — join the most advanced team in the space and help rewire drug discovery from the inside out.
Requirements:
Essential
- MSc or PhD in Computational Biology or similar fields
- Strong programming skills in Python
- Hands-on experience with single-cell or bulk transcriptomic data
- Experience or at least exposure to single-cell foundation models (e.g. Geneformer, scGPT)
- Strong understanding of AI/ML tools (e.g. fine-tuning, …)
- Strong grasp of computational biology methods and best practices
- Excellent communicator — able to translate science across technical and non-technical stakeholders
- Product-oriented mindset and eagerness to be customer-facing
- Passion for the intersection of biology and machine learning
- Obsessive about speed of iteration — you move extremely fast, learn what you don’t know on the fly, and never wait for perfect. This is the #1 criterion for joining Helical.
Nice to Have
- Industry experience in biotech/pharma (internal or customer-facing) or strong contributions to open-source computational biology projects
- Familiarity with Transformer architectures, SSMs, or Bayesian optimization
- Experience working in therapeutic or diagnostic development programs
Our Perks:
Every employee is an co-owner of Helical and you will become a member of the founding team.
Super fast-growing team and company
Work closely with a team on the cutting edge of AI research.
Access to a supercomputer (partnership with luxProvide, part of NVIDIA’s inception program).
Access to a worldwide network of AI experts to learn from.
Office & Locations:
Helical has their main offices in London and Luxembourg. Aligning to one of both locations is mandatory.
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Computational Biologist & Machine Learning (customer-facing) employer: Helical
Contact Detail:
Helical Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Computational Biologist & Machine Learning (customer-facing)
✨Tip Number 1
Familiarise yourself with Helical's mission and the specific applications of Bio Foundation Models in pharma. Understanding their goals will help you articulate how your skills can contribute to their vision during interviews.
✨Tip Number 2
Network with professionals in the biotech and computational biology fields, especially those who have experience with customer-facing roles. This can provide insights into the industry and potentially lead to referrals.
✨Tip Number 3
Prepare to discuss your hands-on experience with single-cell or bulk transcriptomic data. Be ready to share specific examples of projects where you've applied AI/ML tools, as this will demonstrate your practical knowledge.
✨Tip Number 4
Showcase your communication skills by practising how to explain complex scientific concepts to non-technical stakeholders. This is crucial for a customer-facing role and will set you apart from other candidates.
We think you need these skills to ace Computational Biologist & Machine Learning (customer-facing)
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in computational biology and machine learning. Emphasise any hands-on work with single-cell or bulk transcriptomic data, as well as your programming skills in Python.
Craft a Compelling Cover Letter: In your cover letter, express your passion for the intersection of biology and machine learning. Discuss how your background aligns with Helical's mission and how you can contribute to their innovative projects.
Showcase Communication Skills: Since the role is customer-facing, demonstrate your ability to communicate complex scientific concepts to both technical and non-technical stakeholders. Include examples of past experiences where you've successfully done this.
Highlight Your Iterative Approach: Mention your ability to learn quickly and iterate on projects. Provide examples of how you've moved from concept to insight rapidly, showcasing your eagerness to adapt and improve in fast-paced environments.
How to prepare for a job interview at Helical
✨Showcase Your Technical Skills
Be prepared to discuss your programming skills in Python and any hands-on experience you have with single-cell or bulk transcriptomic data. Highlight specific projects where you've applied these skills, especially if they relate to AI/ML tools.
✨Communicate Effectively
As a customer-facing role, it's crucial to demonstrate your ability to translate complex scientific concepts to both technical and non-technical stakeholders. Practice explaining your past work in simple terms to ensure clarity during the interview.
✨Demonstrate Your Passion
Express your enthusiasm for the intersection of biology and machine learning. Share examples of how you've kept up with advancements in the field and any personal projects that showcase your dedication to this area.
✨Emphasise Speed and Adaptability
Helical values speed of iteration, so be ready to discuss how you've quickly learned new concepts or adapted to changes in previous roles. Provide examples of situations where you had to move fast and how you managed to deliver results under pressure.