The role involves leading scientific research in computational biology and machine learning, mentoring junior staff, and collaborating on drug development workflows.
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 + 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 + 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 → experiment → insight
- Strong passion for building at the intersection of biology and machine learning
Top Skills
Bioinformatics
Classical Ml
Computational Biology
Diffusion Models
Machine Learning
PyTorch
Single-Cell
Transformers
Vaes
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