Data Scientist (Platform Development)

ECM Selection

Cambridge, Cambridgeshire, United Kingdom

Today

Posted: 7 May 2026 (Today)

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Take a lead role in shaping data science pipelines, platforms and methodologies

Cambridge; £DoE + Benefits

This life science stealth start-up is expanding, and having put together their core science team, are now looking to hire their first Data Scientist to join them. As you may expect in a start-up, projects and roles are quite fluid and dynamic, and as a Data Scientist, you would be tasked to build their data platform and establish processes to generate insight from the scientific data that is generated. Examples of project work will include algorithm development for time series events, maintaining data analysis pipelines, and implementing best-in-practice data analysis techniques.

Requirements

* Master’s or ideally PhD in mathematics, science or similar.

* Demonstrable experience in data analysis in a science environment (ideally biotech or applied life sciences).

* Strong application experience in data science methodologies including signal processing, classical algorithms, and machine learning.

* Ability to make sense of data within project context and company goals, so that insight can aid further research and projects.

* Good Python programming skills with the ability to write maintainable code to a good standard including use of relevant libraries and associated tools. This should include awareness to write appropriate tests.

* Excellent communication skills with the ability to talk to non-technical and non-scientific stakeholders.

* Any exposure to training ML models (neural networks) would be desirable.

This role would predominately be based at offices in Cambridge (although some flexibility for hybrid working would be possible when projects allow).

Please note no company sponsorship is available, and interested applicants must have full rights to work in the UK without any restrictions.

Keywords: Start-Up, Life Sciences / Biotech, Python, Platform Development, Machine Learning, Neural Networks, Data Science, Cambridge

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