Seed-Stage Agri-BioTech Startup | £4M Raised | London / Remote
💰 Salary: £70,000 – £90,000 (plus early equity options)
About the Company
We’re partnered with an ambitious Agri-BioTech startup that has raised £4M in seed funding to revolutionise how biological data and technology shape the future of sustainable agriculture.
Their mission is to improve crop productivity, resilience, and sustainability through the power of data science, machine learning, and biological insight — driving real-world impact on food systems, climate, and biodiversity.
This is a great opportunity to join a small, mission-driven team where your ideas will shape both the science and the strategy of a fast-growing company at the frontier of AgriTech and BioTech.
The Role
As a Data Scientist, you’ll play a central role in turning complex biological and agricultural datasets into actionable insights. You’ll design and apply machine learning models to understand plant performance, optimise breeding pipelines, and predict biological outcomes that accelerate R&D.
You’ll collaborate closely with biologists, agronomists, and engineers to build the data foundations and analytical systems that guide experimental design, drive discovery, and deliver measurable impact in the field.
Key Responsibilities
Data Science & Modelling
- Develop and implement machine learning models and statistical analyses to extract insights from genomic, phenotypic, and environmental datasets.
- Build predictive models to guide experimental strategy and identify high-value biological targets.
- Conduct data cleaning, feature engineering, and validation to ensure scientific rigour.
Collaboration & Strategy
- Partner with wet-lab scientists and agritech engineers to turn research questions into data-driven experiments.
- Communicate findings through clear visualisations and presentations for technical and non-technical stakeholders.
- Play a key role in shaping how data informs company decisions across R&D and product development.
Infrastructure & Tools
- Help establish scalable data pipelines and reproducible workflows in collaboration with software and bioinformatics teams.
- Contribute to best practices in data management, documentation, and model governance.
About You
Technical Background
- MSc or PhD in Data Science, Machine Learning, Computational Biology, Statistics, or related discipline.
- Strong proficiency in Python (Pandas, NumPy, TensorFlow or PyTorch) and R for data analysis and modelling.
- Familiarity with handling biological, genomic, phenotypic, or environmental datasets.
- Experience with data visualisation (e.g. Plotly, Matplotlib, Tableau) and SQL.
Mindset & Experience
- Curious, adaptable, and motivated by solving complex scientific challenges with data.
- Experience in a startup or research-driven environment preferred.
- Excellent communication skills — able to translate data into decisions.
- Comfortable working in an agile, collaborative environment where priorities evolve rapidly.
Why Join?
🌱 Mission-Driven Impact – Contribute to solving global food and climate challenges using data and biology.
🚀 High Ownership – Work directly with founders and senior scientists on core R&D initiatives.
💡 Innovation Culture – Bring your creativity to a company shaping the future of agriculture.
📈 Growth Potential – Be part of an early team with opportunities for rapid career progression as the company scales.
If this sounds like you, youll fit right in.
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