NYU Langone Health
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 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.
Position Summary We have an exciting opportunity to join our team as a Data Science Analyst/Engineer. The Imaging Data Scientist’s primary roles are to process and analyze digital images of tissues using commercially available platforms (e.g., Halo, VisioPharm, SciLS, etc.) and to visualize and perform computational and statistical analysis of the resulting large datasets using languages such as R, Python, C++, Java, and/or MATLAB. The Imaging Data Scientist will prepare results for internal meetings and public dissemination in posters, talks, and papers.
Job Responsibilities
Prepare and present results, reports, both oral and written, to a variety of audiences, concerning processes, models, evaluation, and impact (ROI)
Performs other duties as assigned.
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 efforts
Minimum Qualifications
Masters degree in a quantitative discipline (Biomedical Informatics, Computer Science, Machine Learning, Applied Statistics, Mathematics, or similar field) and 3+ years of experience in machine learning/data science
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 degree in a quantitative field (Biomedical Informatics, Computer Science, Machine Learning, Applied Statistics, Mathematics, or similar field) and 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 candidates must be able to effectively communicate with all levels of the organization
Equal Employment Opportunity Statement 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.
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Position Summary We have an exciting opportunity to join our team as a Data Science Analyst/Engineer. The Imaging Data Scientist’s primary roles are to process and analyze digital images of tissues using commercially available platforms (e.g., Halo, VisioPharm, SciLS, etc.) and to visualize and perform computational and statistical analysis of the resulting large datasets using languages such as R, Python, C++, Java, and/or MATLAB. The Imaging Data Scientist will prepare results for internal meetings and public dissemination in posters, talks, and papers.
Job Responsibilities
Prepare and present results, reports, both oral and written, to a variety of audiences, concerning processes, models, evaluation, and impact (ROI)
Performs other duties as assigned.
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 efforts
Minimum Qualifications
Masters degree in a quantitative discipline (Biomedical Informatics, Computer Science, Machine Learning, Applied Statistics, Mathematics, or similar field) and 3+ years of experience in machine learning/data science
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 degree in a quantitative field (Biomedical Informatics, Computer Science, Machine Learning, Applied Statistics, Mathematics, or similar field) and 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 candidates must be able to effectively communicate with all levels of the organization
Equal Employment Opportunity Statement 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.
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