Part-time Data Science Analyst/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, diversity, 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 diversity, inclusion, and individual skills, ideas, and knowledge. For more information, go tomed.nyu.edu, and interact with us onLinkedIn,Glassdoor,Indeed,Facebook,TwitterandInstagram.

Position Summary:

We have an exciting opportunity to join our team as a Data Science Analyst/Engineer.

The Data Science Analyst/Engineer leads high-impact, data-driven projects within NYULMC's healthcare ecosystem, focusing on the design, development, and deployment of advanced machine learning and informatics solutions. The role involves working with large, complex clinical datasets to solve critical healthcare challenges, while overseeing interdisciplinary teams and ensuring seamless integration of predictive models into clinical workflows. It requires strong collaboration across departments and clear communication of technical findings to diverse audiences, supporting data-informed decision-making and demonstrating return on investment.

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 dataoriented projects of high importance, including development, deployment, and evaluation
• Design and build data solutions using stateoftheart 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:
To qualify you must have a Masters degree in a quantitative discipline (Biomedical Informatics, Computer Science,
Machine Learning, Applied Stascs, 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
(scikitlearn, 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 soware engineering principles. Experience in integrating modern
software architectures.
Knowledge and some experience in operational aspects of soware 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 Stascs, Mathematics or similar field) + 2 years experience.
Demonstrated skills in design and implementation of complex machine learning models.
Demonstrated knowledge of soware 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. Rather, we are an institution you can be proud of, an institution where you'll feel good about devoting your time and your talents.

NYU Grossman School of Medicine is an equal opportunity and affirmative action employer committed to diversity and inclusion in all aspects of recruiting and employment. All qualified individuals are encouraged to apply and will receive consideration without regard to race, color, gender, gender identity or expression, sex, sexual orientation, transgender status, gender dysphoria, national origin, age, religion, disability, military and veteran status, marital or parental status, citizenship status, genetic information or any other factor which cannot lawfully be used as a basis for an employment decision. We require applications to be completed online.
If you wish to view NYU Grossman School of Medicine's EEO policies, please click here. Please click here to view the Federal "EEO is the law" poster or visit https://www.dol.gov/ofccp/regs/compliance/posters/ofccpost.htm for more information.

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 $44.68 - $66.45 Hourly. 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