Per Diem Senior Research 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.

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Position Summary:

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.

CSTARs 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.

Job Responsibilities:

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 CSTARs 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 research findings at scientific meetings, conferences, seminars, and internal research forums.

Contribute to grant applications and funding proposals, including the development of research strategies, analytical plans, and preliminary findings.

Provide technical and scientific guidance to research staff, analysts, trainees, and other members of the research team, as appropriate.

Maintain current knowledge of advances in AI, ML, LLMs, NLP, healthcare technology, transplantation research, and responsible AI practices.

Ensure compliance with institutional and regulatory requirements related to research conduct, data security, patient privacy, and the ethical use of AI in healthcare.

Participate in CSTAR meetings, seminars, committees, and interdisciplinary collaborations, as requested.

Minimum Qualifications:

To qualify you must have a PhD and 3 years of…