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Research Scientist

Job in New York, New York County, New York, 10261, USA
Listing for: SLAS (Society for Laboratory Automation and Screening)
Full Time position
Listed on 2026-02-14
Job specializations:
  • IT/Tech
    Data Scientist, Machine Learning/ ML Engineer
Salary/Wage Range or Industry Benchmark: 80000 - 100000 USD Yearly USD 80000.00 100000.00 YEAR
Job Description & How to Apply Below
Location: New York

Overview

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 Linked In, Glassdoor, Indeed, Facebook, Twitter and Instagram.

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.

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
  • Master s 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 / Map Reduce, Spark etc.
  • Knowledge of databases (Relational / SQL, NOSQL Mongo

    DB 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 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 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, 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. 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.

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