About
Data Scientist | Series A BioTech Startup | £21M+ Raised About 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
Languages
- English
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