Are you an engineer who enjoys solving the world’s greatest healthcare challenges with data and AI?
If you have analytical mindset and experience of working large scale datasets this is an incredible opportunity to excel in an exciting, fast-paced arena!
At Oracle Health, we put humans at the heart of every conversation. Our mission is to create a human-centric healthcare experience powered by unified global data.
From patients to providers, payers, and the global population, our objectives are to improve health, reduce costs, and enhance the healthcare experience. We offer the most secure and reliable healthcare solutions, which connect clinical, operational, and financial data to improve care and advance decision-making around health and well-being.
What you will do
This role will work closely with customers, to design, develop, and deploy AI applications on our AI Health Data Platform that address critical healthcare challenges across entire health systems.
You will rapidly build data pipelines, tools, analytics and data applications across the domains of Population Health, Life Sciences and Research. You will rapidly feedback requirements to our product and engineering leaders to build back into the platform.
The ideal candidate will have a strong technical background, experience in healthcare IT, and a passion for improving healthcare delivery. Join us and create the future.
1. Collaborate with healthcare providers and stakeholders to understand their needs and develop tailored solutions.
2. Design and implement healthcare technology solutions, AI-driven analytics tools and applications.
3. Build and iterate data products and applications on a cloud data platform
4. Confidently present complex topics to CTO and executive audiences
5. Able to continuously learn, work independently and autonomously across product & engineering teams, with the ability to make decisions with minimal supervision.
6. Travel up to 40%
7. Hybrid role, with 1 day a week in the London office
Required Experience
8. Bachelor’s degree in computer science or related field or equivalent relevant experience
9. Strong engineering background, preferred in fields such as Computer Science, Mathematics, Software Engineering, Physics, and Data Science.
10. Proficient in programming languages such as Python, Java, or JavaScript.
11. Familiarity with EHR systems (Epic, Cerner, Meditech), healthcare interoperability standards and national health data sets
12. Familiarity with parallel health care industries such as Pharma, Life Sciences, Population Health, Payer, National Health Systems, or State based health programs
13. 10 years of experience in Engineering, Analytics and Data Science in health care
Career Level - IC5