This position can be based remotely in the United States
Prognos’ is a NYC-based healthcare startup whose mission is to improve health by driving the best actions learned from the world's data. In order to achieve this goal we have curated the world’s largest clinical lab dataset, covering over 200M patients in the US, and are currently deploying cutting-edge technology for predicting disease at the earliest possible time.
The Mission of the Data Science team at Prognos is to develop, deploy and maintain analytic and machine learning pipelines within Prognos’ products, addressing business-relevant problems in close collaboration with our Engineering, Clinical and Product teams.
We are looking for an experienced engineer to join the team, and help us move this mission-critical task forward. This position will be focused on helping us learn about patient health from medical time series. Are you interested in applying modern data engineering, MLOps and devops practices to complex health data? Do you want to work on developing and deploying production feature engineering, data tracking and model deployment pipelines? Then come work with us!
Candidates must have at least three years of prior professional experience working with large datasets, especially data engineering pipeline development. A bachelor’s degree or higher in Computer Science, Computer Engineering, Electrical Engineering or a similar quantitative field is preferred but not strictly necessary, depending on industry experience. Experience with medical data (Claims, Rx, Clinical) is a big plus.
Required Skills and Experience
Preferred Skills and Experience
About Prognos Health
Prognos is a leading clinically-focused healthcare analytics company with a platform that can query patient-centric data to answer key healthcare questions in minutes not months. The prognosFACTOR™ platform addresses payer, life sciences and provider needs, enabling clients to securely, efficiently and cost effectively analyze billions of lab and health records on more than 325 million de-identified patients. prognosFACTOR is HIPAA compliant and harmonizes and integrates lab data with other healthcare data assets from a trusted and diverse data ecosystem. For more information, visit prognoshealth.com.
Values & Culture
To improve health by driving the best actions learned from the world’s data
To prevail over disease and empower people everywhere to live life to the fullest
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