Senior Data Scientist/Engineer

NYU Grossman School of Medicine is one of the nation's top-ranked medical schools. For 175 years, NYU Grossman School of Medicine has trained thousands of physicians and scientists who have helped to shape the course of medical history and enrich the lives of countless people. An integral part of NYU Langone Health, the Grossman School of Medicine at its core is committed to improving the human condition through medical education, scientific research, and direct patient care. At NYU Langone Health, equity and inclusion are fundamental values. We strive to be a place where our exceptionally talented faculty, staff, and students of all identities can thrive. We embrace inclusion and individual skills, ideas, and knowledge. For more information, go tomed.nyu.edu, and interact with us on LinkedIn, Glassdoor, Indeed, Facebook, XandInstagram.Position Summary:We have an exciting opportunity to join our team as a Senior Data Scientist/Engineer. Onsite position.We are seeking a qualified Senior Data Scientist/Engineer to work within the Predictive Analytics Unit at NYU Langone Health. The individual will be positioned to contribute to analytics reports at NYU. By teaming up with clinicians, operations and administrative teams, the individual will develop innovative and impactful data driven healthcare solutions.The Predictive Analytics Unit is a data science team that is a part of Medical Center IT (MCIT) and the Center for Healthcare Innovation and Delivery Science (CHIDS). Our mission is to apply the latest advances in machine learning and predictive analytics toward solving prediction and classification problems across the medical center. We are both an operational and academic group that is interested in applying machine learning in healthcare settings and pushing the boundaries of academic research.Job Responsibilities: * Lead specific data oriented projects of high importance, including development, deployment, and evaluation * Design and build data solutions using state of the art machine learning and informatics methods; deploy and integrate these products within the larger ecosystem of healthcare infrastructure at NYULMC * Work with large, complex and noisy clinical datasets for solving challenging problems in the healthcare domain * Build and engineer workflows to collect, store, clean and process structured as well as unstructured data, verify their integrity and appropriateness for specific business processes and analytics systems * Manage associate data scientists, engineers, and clinically trained professionals for testing novel approaches, implementation, maintenance, and improvement of predictive models. * Collaborate with the overall NYULMC healthcare community and contribute to ongoing predictive modeling / analytics reports * Prepare and present results, reports, both oral and written, to a variety of audiences, concerning processes, models, evaluation, and impact (ROI)Minimum Qualifications:To qualify you must have a Masters degree in a quantitative discipline (Biomedical Informatics, Computer Science, Machine Learning, Applied Stascs, Mathematics or similar field) and5-7 years of experience in machine learning/ data science.Proficiency in at least one programming language (Python, R) and machine learning tools (scikitlearn, R)Knowledge of predictive modeling and machine learning concepts, including design, development, evaluation, deployment and scaling to large datasetsFamiliarity with computing models for big data Hadoop / MapReduce, Spark etc.Knowledge of databases (Relational / SQL, NOSQL MongoDB etc.)Preferred Qualifications:PhD degree in a quantitative field (Biomedical Informatics, Computer Science, Machine Learning, Applied Statistics, Mathematics or similar field) + 2 years experience.Demonstrated skills in design and implementation of complex machine learning models.Demonstrated knowledge of software engineering and operational skills through prior projects.Qualified c