Data Scientist
Listed on 2026-02-16
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IT/Tech
Data Scientist, Data Analyst
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Direct message the job poster from Cozens Wain
"Connecting the Best A-Players - Top 1% in Life Sciences 🧬Data Scientist | Series A Bio Tech Startup | £21M+ Raised 💰
About the CompanyWe’re partnered with a Series A Bio Tech 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 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.
- 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.
- Develop scalable, automated data pipelines in collaboration with engineering and informatics teams.
- Champion best practices in data management, version control, and model governance.
- MSc or PhD in Data Science, Computational Biology, Machine Learning, Bioinformatics, or a related field
. - Strong programming skills in Python (Num Py, Pandas, Tensor Flow, 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, Postgre
SQL).
- 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.
🌱
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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