*** Candidates must be based within the UK ***
In any healthcare system, analyses are performed and decisions are made that affect people’s lives; from predicting risk and understanding symptoms to determining the most appropriate clinical and lifestyle interventions for a patient. Artificial intelligence algorithms enable a leap forward in the quality and accessibility of healthcare by supporting more personalised clinical decisions and population health management. At Babylon, we are building the next generation of AI / ML systems which are at the heart of our digital health products and platform to deliver the highest standard of care for millions of our members globally.
As part of the Applied Sciences team, you will help us achieve this goal by translating cutting edge research into our digital health products and services to support our members globally.
THREE REASONS WHY TO APPLY
You will be working alongside Applied Scientists in the development of cutting-edge research AI/ML solutions, leading on technical implementation and architecture, including proof-of-concepts, prototypes and research tooling.
Accelerate the integration of state-of-the-art research into our products, representing the Applied Science team in the transition of knowledge and assets to product engineering teams (e.g. MLOps & data engineering).
Develop compelling prototypes to demonstrate to commercial and product stakeholders how our research can push the boundaries of what our next-generation products and services can provide.
WHY OUR WORK MATTERS
The success of this role will be measured by our ability to leverage multiple data sources to develop research prototypes that form the basis of future products of Babylon. By optimising and supporting the integration of new AI models and algorithms into our digital healthcare platforms, you will be contributing towards supporting the highest standard of care for millions of members globally.
You will provide engineering and systems focussed guidance to the wider Applied Science team, which includes scientists and engineers across AI and data science as well as epidemiologists, health economists and other disciplines. The role will also require significant collaboration with other technology, clinical, product and regulatory teams at Babylon to ensure that our latest developments are leveraged within our products and service.
Nice to have
WORKING AT BABYLONWhether you work in one of our amazing offices or a distributed team, Babylon is highly collaborative and fun! You’ll have a chance to work in a fast-paced environment with experienced industry leaders. We have a learning environment where you can make an impact.
WHO WE AREWe are a team on a mission, to put accessible and affordable healthcare in the hands of every person on earth. Our mission is bold and ambitious, and it’s one that’s shared by our team who shares our values, to dream big, build fast and be brilliant. To achieve this, we’ve brought together one of the largest teams of scientists, clinicians, mathematicians and engineers to focus on combining the ever-growing computing power of machines, with the best medical expertise of humans, to create a comprehensive, immediate and personalized health service and make it universally available.
At Babylon our people aren’t just part of a team, they’re part of something bigger. We’re a vibrant community of creative thinkers and doers, forging the way for a new generation of healthcare. We’re only as good as our people. So, finding the best people is everything to us. We serve millions, but we choose our people one at a time…
DIVERSITY AT BABYLONWe believe that difference inspires a better, healthier world. That’s why it’s at the heart of everything we do. From our people to our products, difference enriches every part of our business and creates a culture based on equality of opportunity, and in which all Babylonians can progress their careers. We’re committed to creating an environment of mutual respect where equal employment opportunities are available to all applicants without regard to race, colour, religion, sex, pregnancy status, national origin, age, physical and mental disability, marital status, sexual orientation, gender identity, gender expression, genetic information, and any other characteristic protected by applicable law.