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. 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, X and Instagram.

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 experience or equivalent combination of education and experience.

Preferred Qualifications:
Advanced expertise in AI, ML, LLMs, NLP, data science, computer science,
biostatistics, mathematics, or a related quantitative field.
Substantial research experience, including postdoctoral training or
comparable independent scientific experience.
Strong programming and analytical skills and experience working with
large-scale healthcare datasets.
Established record of peer-reviewed publications and scientific
presentations.
Experience developing or evaluating AI applications using electronic health
records, clinical text, or other sensitive healthcare data.
Demonstrated interest or experience in transplantation, surgery, or
applications of AI in medicine.
Experience contributing to multidisciplinary grant applications and funded
research projects.
Excellent written and verbal communication skills and the ability to
collaborate effectively across clinical, scientific, and technical disciplines.
Ability to work independently

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 $35.71 - $54.95 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