Medical Statistician

Oxford, Oxfordshire, United Kingdom · Intelligent Systems Medicine · Clinical AI, 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.

The Team:

Our Intelligent Systems Medicine team is currently expanding to bring further expertise into a cross functional environment. The aim is to drive the next generation of innovation for better patient outcomes, whilst harnessing some of the industry’s most progressive AI approaches. This is centred on data-efficient machine learning algorithms. The nature of our team is collaborative with an emphasis on genuine passion for healthcare advancement. The roles are research based with high potential for professional growth, support towards our business goal and ongoing contribution to the development of healthcare by working in a stimulating environment focused on improving patient outcomes.

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:
We are seeking an experienced Medical Statistician with a strong background in statistical modelling (e.g., longitudinal data analysis, generalised linear mixed models, multinomial models, etc.) for large-scale data analytics and predictive modelling. The Medical Statistician needs to be familiar with statistical programming languages (e.g., R, Python). The main responsibilities of the role include data management and cleaning, data integration, and constructing advanced statistical models to address important questions about risk factors for diseases from databases including data from several hundred thousand individuals.

The Medical Statistician will work closely with a wider team of machine learning researchers bioinformaticians, computational biologists, programmers and clinical researchers within the Intelligent Systems Medicine Department. The successful candidate will provide statistical expertise, and will be actively involved in study design, data preparation and analyses, preparation of reports and presentation of research.


Key Responsibilities




Apply for this job