We 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.
babylon was included in WIRED’s 2016 Top 100 Hottest Startups in Europe and CB Insights 2017 Global ‘AI 100’ list. Fortune Magazine included babylon in their 2017 list of ’50 Companies Leading the AI Revolution’, the only listed company using AI in healthcare delivery.
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…
What do we want?
We are looking for a motivated, scientifically sophisticated and technically capable software research scientist with experience of Bayesian approaches to machine learning and AI, to aid in the development of our market-leading products. Reporting to the lead data scientist, you will be part of a collaborative and growing AI team based in our central London office.
You will be working with highly skilled data science, NLP, data, engineering and product teams to release great products across Babylon. Your skills will be put to use on the development of code to answer deep problems in statistical modelling and machine intelligence across our product line, where we are building complex systems to meet our core goal of making health care easier for everyone to access.
The focus of this role is on the improvement of inference algorithms used in graphical models, which form the basis of many of our AI systems. A candidate for this role will have knowledge and experience of implementing statistical and machine learning models at scale as well as a familiarity with relevant inference methods. Experience with knowledge engineering specific to these types of models will be considered a very strong asset.
We have a team of the best people you’d ever want to meet, working on some of the most futuristic projects. We like people who are smart, funny, innovative and tenacious, who can adapt and work together.
Who fits the role?
A software engineer, scientific programmer or applied scientific researcher with experience delivering statistical and machine learning models specific to AI.
Knowledgeable in general Bayesian approaches to statistical modeling, including demonstrated experience with Bayesian methods: inference, modeling, etc. Experience of Bayesian networks / Probabilistic Graphical Models specifically will be given very strong preference.
Solid programming skills in Python, and experience with at least one deep learning toolkit such as TensorFlow, Theano, Torch or Keras, as well as numpy and Sci-kit learn.
Experience programming on GPU’s is strongly preferred.
Organized and pro-active, with strong attention to detail.
A natural team player, who enjoys working collaboratively with colleagues.
Flexible and adaptable, with a “can do” approach and solid problem-solving skills.
Focused on delivery, with a passion for quality and innovation.
Someone who thrives in a dynamic environment and will contribute to ongoing organisational improvements.
What matters most?
MSc/PhD in a quantitative discipline (mathematics, computational statistics, physics, life sciences, etc.); exceptional BSc candidates with relevant commercial experience will also be considered.
Demonstrated statistical and machine learning experience, academic or commercial, and knowledge of major data science tools and frameworks.
Commercial-grade coding skills in at least one major language. Python is preferred, and knowledge of other languages is optional but valuable (e.g. C++/Java/Julia/R).
Experience with cloud computing environments, such as AWS.
Comfortable working in a collaborative and commercial scientific environment that operates using agile methodologies.
A proven track record of delivering high profile, user-oriented solutions in a fast-paced environment.
Strong communication skills, including the ability to communicate deeply technical concepts to non-technical audiences, at all levels and in all mediums from email to written and oral presentations.
Great organizational skills with the ability to thrive in a demanding environment whilst juggling multiple priorities.
A highly motivated self-starter with a can-do attitude, even in the face of demanding deadlines.
What’s nice to have?
Research papers in machine learning at venues such as NIPS, ICML, AISTATS etc.
Experience presenting technical concepts to a general audience.
Healthcare domain experience.
Tagged as: Digital Health, Health, Healthcare
We are a team on a mission, to put accessible and affordable healthcare in the hands of every person on...Apply For This Job