UK/EU or compatible timezone (Remote)
Remote, United Kingdom
London, England, United Kingdom
Applications are now closed
Dyad's mission is to improve the delivery and efficiency of healthcare.
We are building a platform to model and manage the flow of information within healthcare organisations, improving outcomes for patients, payers, and healthcare providers. We believe data handling in current healthcare systems is needlessly complex and disconnected, leading to isolated and inefficient decision making. To showcase how this technology can advance the delivery of healthcare and improve lives, we build and deploy products for healthcare providers and payers into the UK and US markets.
Dyad is an energetic, early-stage startup, currently around twenty employees. Our team is growing as we explore new markets and opportunities. We are passionate about technology and its applications in worthwhile ventures. New joiners will have a significant impact on the direction of the company, as well as our culture.
Dyad platform: Dyad's products are founded upon our Semantic AI platform, which enables payers and providers to access cutting-edge AI capabilities for their own use cases and applications. Our partners either use the platform APIs directly or work with us to develop applications for their use cases. For more information, please see our Platform page.
Primary care operations: Dyad develops a suite of products for healthcare operations, including:
We are looking for a senior platform engineer with a demonstrated track record of building and deploying software platforms at scale to join our Data Science team. This team researches, develops and maintains core AI capabilities for our products, as well as for clients who want to leverage the Dyad platform themselves. As a senior platform engineer, you will report directly to the Head of Data Science.
We are building a service-based platform combining knowledge graphs and machine learning to support the development and rollout of our Semantic AI functionality to clients and to our own products. This role is well-suited to a strong engineer who enjoys working with a variety of disciplines across the business and adapting to evolving technology requirements. You will work closely with data scientists, data engineers, and knowledge engineers. As part of an early-stage startup, you will also have the opportunity to work with the wider team, spanning a range of disciplines and expertise.
This role is located in the UK and requires a minimum of two days a week in our Paddington, London office to collaborate with data science team. Candidates must therefore have the right to work in the UK and be willing to relocate to the UK if necessary. Dyad offers visa sponsorship for strong candidates.
Our hiring process
No agencies please
Applications are now closed