Data Engineer

Oxford, Oxfordshire, United Kingdom · Intelligent Systems Medicine · Data, 1


About Us:

At Sensyne Health we combine technology and ethically sourced patient data to help people everywhere get better care. To do this, we have created a unique partnership with the NHS that delivers a return to our partner Trusts and unlocks the value of clinical data for research while safeguarding patient privacy. Alongside this, we develop clinically validated software applications that create clinician and patient benefit while providing highly curated data. Our products include vital-signs monitoring in hospitals and patient-to-clinician apps to support self-care and remote monitoring of gestational diabetes and chronic diseases such as COPD and heart failure.

We use our proprietary clinical AI technology to analyse ethically sourced, clinically curated, anonymised patient data to solve serious unmet medical needs across a wide range of therapeutic areas, enabling a new approach to clinical trial design, drug discovery, development and post-marketing surveillance.

The Role:
As a Data Engineer, you will be responsible for building and optimising our data architecture and pipelines, as well as data flow and data collection for cross functional teams. You’ll be supporting our Digital Health and Clinical AI research teams carrying out data sourcing, data wrangling and feature engineering tasks. Working with other analysts, you will deliver clean and consistent data pipelines for our teams across the business and with external partners. This role brings exciting opportunities to design and optimise our company’s data architectures and tech stack to bring life to our next generation of products and data analysis, including the chance to work on truly big data initiatives in health data and genomics.





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