Data Scientist – Series A Agri-BioTech Startup

£11M+ Raised | London / Remote (UK)

💰 Salary: £70,000 – £95,000 + early equity options

About the Company

We’re partnering with a Series A Agri-BioTech startup that’s raised over £11 million to transform how data and biology combine to shape the future of sustainable agriculture.

They need to harness the power of machine learning, biological data, and environmental intelligence to improve crop performance, resilience, and sustainability, driving measurable impact on global food systems, climate, and biodiversity.

This is an opportunity to join a high-growth, mission-driven team at a pivotal stage of expansion, where your contributions will directly influence both the company’s science and its strategy.

The Role

As a Data Scientist, you’ll play a pivotal role in transforming complex biological and agronomic datasets into actionable insight. You’ll design, implement, and scale machine learning models that drive discovery, optimise breeding pipelines, and accelerate product innovation.

You’ll work cross-functionally with biologists, agronomists, and engineers — turning data into decisions that move the needle for sustainable agriculture.

Key Responsibilities

Data Science & Modelling

• Develop and apply machine learning models to extract insights from genomic, phenotypic, and environmental datasets.
• Build predictive models to guide experimental design and identify high-value biological targets.
• Ensure robustness through data cleaning, feature engineering, validation, and reproducibility.

Cross-Functional Collaboration

• Partner with wet-lab and field scientists to translate research questions into data-driven experiments.
• Present analyses and visualisations that clearly communicate findings to both technical and non-technical stakeholders.
• Contribute to strategic decisions across R&D and product development through evidence-based insights.

Infrastructure & Tools

• Help shape scalable data pipelines and workflows alongside software and bioinformatics teams.
• Promote best practices in data management, documentation, and model governance.

About You

Education & Background

• MSc or PhD in Data Science, Machine Learning, Computational Biology, Statistics, or related discipline.
• Proficiency in Python (NumPy, Pandas, TensorFlow or PyTorch) and R for modelling and analysis.
• Experience handling biological, genomic, phenotypic, or environmental datasets.
• Familiarity with data visualisation tools (e.g. Plotly, Matplotlib, Tableau) and SQL.

Mindset & Attributes

• Curious, adaptable, and driven by solving complex scientific problems with data.
• Excellent communicator who can bridge biology and computation.
• Comfortable working in a fast-paced, high-ownership startup environment.
• Previous experience in biotech, agri-tech, or research-driven teams is a plus.

Why Join?

🌱 Mission-Driven Impact – Apply your data science expertise to tackle food security and climate change.

🚀 High Ownership – Work directly with the founding team and senior scientists on core R&D challenges.

💡 Innovation Culture – Join a company where creativity, experimentation, and impact are encouraged.

📈 Career Growth – Be part of the early team shaping a rapidly scaling Series A biotech.

If this sounds like you, you'll fit right in.

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