Senior Machine Learning Data Scientist

Would you like to contribute creatively to a large, meaningful mission? We are in the processing of transforming healthcare. In particular, we are transforming the way that care givers across the country integrate information and make decisions. With a recent acquisition, we now have an unprecedented combination of scale and industry leading technology and talent to change the way we experience healthcare. Specifically designed with the size and scale to address the complexity of today’s and tomorrow’s healthcare system, we are a company committed to advancing medical benefits management – and enabling better outcomes for patients, providers, and plans. Ours is an evidence-based approach that leverages our exceptional capabilities, powerful analytics, and

an acute sensitivity to the challenges and needs of everyone involved across the healthcare spectrum. Applying proven talent and leading-edge technology, we harness healthcare’s evolving demand and inherent change to realize and deliver improved results for everyone.

Want to join us?

We leverage our deep evidence based knowledge and technology to deliver services and software solutions so healthcare payers and providers can deliver the best quality care. Our natural language processing (NLP) and machine learning (ML) platform replaces outdated manual processes with software-driven clinical reasoning.

We are seeking highly creative and motivated post graduate and/or postdoctoral data scientists with exceptional skills who will complement our growing team. Our NLP platform coupled with large proprietary healthcare datasets and strategic vision of

transforming decision making in healthcare require a state of the art machine learning platform. As a

machine learning data scientist, you will:

 Design, develop, and prototype machine learning and statistical analysis techniques to automate clinical decision making, including deep learning, collaborative filtering, and other machine learning techniques to extract insights at scale from structured and unstructured electronic health record data and other healthcare data sources.

 Design and apply statistical techniques to evaluate and monitor the outcomes of automated clinical decision making at scale

 Help evolve our NLP platform, combining input from clinicians and other domain experts with state of the art NLP techniques

 Build data driven apps whose goals are to: translate data into intelligence, help transform the work of clinical decision making, quality reporting and pathway planning, and to help solve a variety of strategic business problems in healthcare.

 Assists business with causal inferences & observations providing data-driven business insights.

Requirements: