Data Scientist

Data Scientist | Series A BioTech Startup | £21M+ Raised 💰📍 Location: London / Remote💸 Salary: £70,000 – £100,000 + early equity optionsAbout the CompanyWe’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 RoleAs 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 ResponsibilitiesData Science & ModellingDesign, 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 CollaborationWork 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 & ToolsDevelop scalable, automated data pipelines in collaboration with engineering and informatics teams.Champion best practices in data management, version control, and model governance.About YouEducation & ExperienceMSc 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 & AttributesPassionate 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.To Note: We regularly share career opportunities, company news, and insights on our LinkedIn page — feel free to follow us and stay in the loop.