Data Scientist

\” Direct message the job poster from CozensWain\” Connecting the Best A-Players – Top 1% in Life Sciences Data Scientist | Series A BioTech Startup | £21M+ RaisedAbout 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 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.\”#J-18808-Ljbffr