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Associate Data Scientist Engineer

Associate Data Scientist Engineer

NYU Langone HealthNew York, NY, United States
1 day ago
Job type
  • Full-time
Job description

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 to , and interact with us on LinkedIn, Glassdoor, Indeed, Facebook, Twitter and Instagram.

Overview

Position Summary : We have an exciting opportunity to join our team as an Associate Data Scientist / Engineer. In this role, the successful candidate will join the Division of Applied AI Technologies as an Associate Data Science Analyst / Engineer. They will work with the Division of Applied AI Technologies (DAAIT), part of the MCIT Department of Health Informatics and the Center for Healthcare Innovation and Delivery Science. The mission of the unit is to apply the latest advances in machine learning and predictive analytics toward solving clinically and operationally significant 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. This individual will be positioned to contribute to analytics efforts at NYULH by teaming up with clinicians, operations and administrative teams. This individual will develop innovative and impactful data driven healthcare solutions. The Data Scientist / Engineer will report to Heather Oesau and will collaborate with other unit members and the NYULH community at large.

Job Responsibilities

  • Prepare and present results and reports (both written and oral) concerning processes, models, evaluation, and impact (ROI) to a variety of audiences.
  • 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.
  • Collaborate with the overall NYULMC healthcare community and contribute to ongoing predictive modeling / analytics efforts.

Minimum Qualifications

  • Masters degree in a quantitative discipline (Biomedical Informatics, Computer Science, Machine Learning, Applied Statistics, Mathematics or similar field).
  • Proficiency in at least one programming language (Python, R) and machine learning tools (scikit learn, R).
  • Knowledge of predictive modeling and machine learning concepts, including design, development, evaluation, deployment and scaling to large datasets.
  • Familiarity with computing models for big data Hadoop / MapReduce, Spark etc.
  • Knowledge of databases (Relational / SQL, NOSQL, MongoDB, etc.).
  • Good grasp of software engineering principles and experience in integrating modern software architectures.
  • Knowledge and some experience in operational aspects of software development and deployment, including automation, testing, virtualization and container technology.
  • Knowledge of clinical and operational aspects of healthcare delivery.
  • Excellent written and oral communication skills for a variety of audiences.
  • Preferred Qualifications

  • PhD in a quantitative field such as Biomedical Informatics, Computer Science, Machine Learning, Applied Statistics, Mathematics or similar field.
  • Two 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 candidates must be able to effectively communicate with all levels of the organization.

    NYU Grossman School of Medicine provides its staff with far more than just a place to work. We are an institution you can be proud of, an institution where you'll feel good about devoting your time and your talents. At NYU Langone Health, we are committed to supporting our workforce and their loved ones with a comprehensive benefits and wellness package. Our offerings provide a robust support system for any stage of life, whether it's developing your career, starting a family, or saving for retirement. The support employees receive goes beyond a standard benefit offering, where employees have access to financial security benefits, a generous time-off program and employee resources groups for peer support. Additionally, all employees have access to our holistic employee wellness program, which focuses on seven key areas of well-being : physical, mental, nutritional, sleep, social, financial, and preventive care. The benefits and wellness package is designed to allow you to focus on what truly matters. Join us and experience the extensive resources and services designed to enhance your overall quality of life for you and your family.

    NYU Grossman School of Medicine is an equal opportunity employer and committed to inclusion in all aspects of recruiting and employment. All qualified individuals are encouraged to apply and will receive consideration. We require applications to be completed online.

    View Know Your Rights : Workplace discrimination is illegal.

    NYU Langone Health provides a salary range to comply with the New York state Law on Salary Transparency in Job Advertisements. The salary range for the role is $67,771.14 - $110,240.00 Annually. Actual salaries depend on a variety of factors, including experience, specialty, education, and hospital need. The salary range or contractual rate listed does not include bonuses / incentive, differential pay or other forms of compensation or benefits.

    To view the Pay Transparency Notice, please click here

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