Elsevier Precision Medicine (PMed) is developing the next generation of clinical decision support and research tools which will escalate the global state of personalized medicine use in healthcare. Together with our partners, we leverage big data, machine learning technology, analytics, and predictive approaches to help facilitate the creation of and deployment of knowledge for use by clinicians to improve diagnosis and treatment.
Key to this strategy is the need for a talented Senior Data Scientist. Reporting to the Senior Director, Software Engineering the successful individual will work in tandem with technology and research to create and advise on different data modeling techniques, deliver the modeling approach and enhance the team's data modeling capabilities. They will also extract meaningful, contextualized data from Elsevier's unrivalled long form content and combine it with patient data to provide actionable insight and guidance to healthcare decision makers.
You will bring engineering experience from building data driven products, creating predictive models and working on large scale content extraction.
Ideally you will also have healthcare domain experience and a PhD in a related field, for example Health Informatics or Predictive Algorithm Design. If you are also a qualified MD then that would be an added benefit.
You will serve as a strong mentor for others.
Hands on experience in product development and various engineering practices (such as Agile) would also be preferred.
This is an exciting career enhancing opportunity to be at the forefront of healthcare technology and its ability to impact the health of people worldwide.