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Research Scientist

NYU Grossman School of Medicine
$70,000.00 - $85,000.00 / yr
United States, New York, New York
Dec 20, 2025

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 med.nyu.edu, and interact with us on LinkedIn, Glassdoor, Indeed, Facebook, Twitter and Instagram.

Position Summary:
The Research Scientist will process and analyze digital images of tissues using commercial platforms, apply computational and statistical methods to large datasets with programming languages such as R or Python, and prepare results for internal and external dissemination. The role involves developing analytical strategies for research proposals, collaborating on predictive modeling projects, and working with complex clinical datasets in healthcare. The Research Scientist will report to Dr. Coley, Xenotransplant Pathology Director, and contribute to reports, manuscripts, and presentations for various audiences.

Job Responsibilities:

  • Process and analyze digital images of tissues using commercially available platforms and visualize and perform computational and statistical analysis of the resulting large datasets using languages such as R, Python, C++, Java and/or MATLAB.
  • Collaborate with the Xenotransplant Pathology Director to contribute to ongoing predictive modeling /analytics efforts.
  • Under faculty supervision, design analytical strategies for research proposals and draft statistical analysis plans for grants.
  • Prepare interim reports to summarize ongoing studies for presentation at internal lab meetings and collaborative research meetings in the Transplant Institute.
  • Contribute original thoughts, hypothesis, and analysis to write reports, abstracts, and manuscripts under faculty supervision.
  • Work with large, complex, and noisy clinical datasets for solving challenging problems in the healthcare domain.
  • Collaborate with the overall NYULMC healthcare community and external collaborators 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 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
(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 software engineering principles. 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 Stascs, 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 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. 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 $70,000.00-$85,000.00 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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