Per Diem Senior Research Scientist
Listed on 2026-09-06
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Research/Development
Research Scientist, Clinical Research, Data Scientist
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, X and Instagram.
We have an exciting opportunity to join our team as a Senior Research Scientist. In this role, the successful candidate The Center for Surgical and Transplant Applied Research (CSTAR) at NYU Langone Health is seeking a per diem Senior Research Scientist to support research involving artificial intelligence, machine learning, and advanced data analytics. CSTAR is a leading research center dedicated to advancing organ donation and transplantation through innovative, data-driven approaches.
The Senior Research Scientist will provide advanced scientific and technical expertise for research involving artificial intelligence (AI), machine learning (ML), large language models (LLMs), natural language processing (NLP), and the analysis of structured and unstructured healthcare data. Working independently within the scientific framework established by CSTAR faculty and principal investigators, the Senior Research Scientist will help design and execute complex research projects intended to generate real-world evidence and improve clinical decision-making in transplantation, surgery, and general medicine.
CSTAR's mission is to make organ donation and transplantation accessible and successful. The center conducts research that informs clinical practice and national policy and collaborates with clinicians, researchers, patients, community partners, professional organizations, and policymakers. This per diem position will provide specialized expertise to support evolving research needs and discrete research projects across the center.
- Initiate, design, organize, and execute complex research projects involving AI, ML, LLMs, and NLP in transplantation, surgery, and general medicine.
- Provide senior-level scientific and technical leadership for the analysis of structured and unstructured healthcare data, including electronic health records, clinical notes, surgical documentation, and multi modal datasets.
- Develop, implement, validate, and evaluate predictive models and other AI-based methods for clinical outcomes, patient stratification, risk assessment, and healthcare decision-making.
- Develop new research questions, analytical approaches, techniques, and methodologies that advance CSTAR's scientific mission.
- Independently assess methodological and technical challenges and recommend scientifically rigorous solutions.
- Collaborate with principal investigators, clinicians, analysts, research staff, and external collaborators to translate clinical and operational challenges into feasible research studies and AI applications.
- Provide scientific oversight and guidance related to study design, model development, validation, interpretation, and reporting.
- Establish and apply procedures for data quality control, reproducibility, documentation, and validation of AI-assisted research.
- Ensure the timely and accurate completion of assigned research projects and deliverables.
- Coordinate research activities and analytical approaches across investigators, clinical teams, technical staff, and collaborating institutions.
- Identify and resolve scientific, methodological, and technical problems affecting research projects.
- Prepare and make significant contributions to manuscripts, abstracts, scientific reports, presentations, and other scholarly products.
- Present…
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