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 Team

Our Life Sciences 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. Whilst the current team already has three clinically validated products, the new members will be part of a sub-team focusing on innovating new product lines. 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.

The Role

As part of our visualisation and interpretation team this individual will work closely with our Clinical and Data Science/Machine Learning team to interpret and generate novel insights from our machine learning results and to accelerate the clinical workflow. This includes development of novel clinically relevant interpretation tools based on your data science and machine learning knowledge, and in close collaboration with our wider team; implementation of visualisations which ease the clinical workflow and development and maintaining of a scalable code base which can be used for various customer projects.

Responsibilities

• Perform robust data analysis and communicate results with sophisticated visualisation methods.

• Create and implement statistical & machine learning algorithms, assessing their effectiveness through solid validation workflows.
• Clinical project support to guide decision making and create analytical solutions to address questions of interest to our pharma stakeholders.

• Publish research results in national and international conferences and scientific journals.

Requirements

• Higher university degree (MSc or PhD) in Computer Science, Engineering, Mathematics, Physics with focus on AI, ML or data science.
• Time spent working within large / cooperative teams to develop code management skills. This should include experience using version control system such as Git.
• Strong experience with producing efficient and insightful data visualisations
• Strong statistical background
• Strong hands-on experience with Python. Being able to demonstrate writing and managing reusable code
• Experience building data solutions incrementally, integrating and managing datasets from multiple sources.

Desirable

• Experience with clinical data and/or healthcare projects
• An understanding and/or interest in machine learning
• Experience with Azure
• Hands-on experience with programming language R

• Company share option scheme
• 5% employer matched salary sacrifice Pension scheme
• Life Assurance & Income protection
• A range of health, wealth and lifestyle benefit plans including BUPA, Gym and holiday trade options
• Electric Vehicles & Cycle to work schemes
• Proactive career development planning