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.
Sensyne Health are seeking a smart and adaptable Epidemiologist to join the Data Science team within our Discovery Sciences function and help the business deliver on our mission to accelerate medical research and improve patient care.
We are an agile team of Clinically led data science specialists who 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 nature of our team is collaborative with an emphasis on genuine passion for healthcare.
Your skills in data wrangling, preparation and analysis, along with your insights on epidemiology studies will enable the team to deliver on our promise of discovering robust clinical insight that will ultimately make a difference to the lives of patients across a range of therapeutic areas.
We love to work with people who are collaborative and who will proactively seek to share knowledge. Individuals who have the confidence to speak up when needed and the pragmatism to accept compromise. We'll give you the autonomy to do the best thing, not just the easiest thing. We all have a strong sense of team and are able to support those around us whilst keeping moving forward.
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