Data Scientist | Series A BioTech Startup | £21M+ Raised 💰
📍 Location: London / Remote
💸 Salary: £70,000 – £100,000 + early equity options
About the Company
We’re partnered with a Series A BioTech startup that’s raised over £21 million to revolutionise how data and biology converge to accelerate breakthrough discoveries in life sciences.
Their mission is to harness machine learning, multi-omics data, and AI-driven modelling to unlock new biological insights — driving progress in therapeutics, bioengineering, and sustainable innovation.
Backed by world-class investors and led by a cross-disciplinary founding team of biologists, data scientists, and engineers, this is a chance to join a company defining the next generation of biotech intelligence.
The Role
As a Data Scientist, you’ll be central to developing and deploying advanced models that turn vast biological and experimental datasets into actionable insight.
You’ll work at the intersection of biology, data, and computation — building scalable pipelines, predictive tools, and models that directly guide research, discovery, and decision-making.
Key Responsibilities
Data Science & Modelling
* Design, train, and optimise machine learning models across multi-omics and experimental datasets.
* Build predictive frameworks to accelerate discovery and identify high-value biological targets.
* Ensure model robustness and reproducibility through strong statistical design, data validation, and feature engineering.
Cross-Functional Collaboration
* Work closely with wet-lab scientists, bioinformaticians, and software engineers to bridge experimental and computational workflows.
* Translate biological questions into data-driven hypotheses and visualise outcomes clearly for all stakeholders.
* Drive strategic discussions through clear, evidence-based insights and recommendations.
Infrastructure & Tools
* Develop scalable, automated data pipelines in collaboration with engineering and informatics teams.
* Champion best practices in data management, version control, and model governance.
About You
Education & Experience
* MSc or PhD in Data Science, Computational Biology, Machine Learning, Bioinformatics, or a related field.
* Strong programming skills in Python (NumPy, Pandas, TensorFlow, PyTorch) or R.
* Proven experience analysing biological, genomic, or high-dimensional experimental datasets.
* Familiarity with data visualisation tools (e.g. Plotly, Matplotlib, Tableau) and databases (SQL, PostgreSQL).
Mindset & Attributes
* Passionate about using data to solve complex biological problems.
* Excellent communicator who thrives in a collaborative, fast-moving startup environment.
* Comfortable with ambiguity, ownership, and working across disciplines.
* Previous experience in biotech, life sciences, or AI-driven research is highly desirable.
Why Join?
🌱 Mission-Driven Impact – Use your data science expertise to help shape the future of biology and biotechnology.
🚀 High Ownership – Collaborate directly with the founding and scientific leadership team on key R&D initiatives.
💡 Innovation Culture – Operate at the forefront of AI and biology, where experimentation is encouraged and ideas move fast.
📈 Career Growth – Join a rapidly scaling Series A company backed by tier-one investors, with clear pathways for progression.
If this sounds like you, you'll fit right in.
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