NYU Langone Health
The NYU Grossman School of Medicine is hiring faculty at the Assistant and Associate Professor levels in the Precision Medicine Division, Department of Medicine. The division focuses on collaborative research and aims to improve patient care through evidence-based practices.
Key Responsibilities
- • Lead her/his own research programs
- • Foster collaborations throughout NYU Langone Health
- • Consult on strategic technological decisions for NYU Grossman School of Medicine
Required
- • PhD in biomedical informatics, epidemiology, implementation science, engineering, or computer science, with applications in the life sciences
- • MDs with computational expertise are highly encouraged to apply
Preferred
- • Focus on medical machine learning computational and statistical modeling
- • Research using electronic health records, mobile health data and other human data
- • Interest in areas outside of cancer a plus
Company Overview
Industry: Healthcare Technology
Company Size: 500-1,000 employees
Founded: 2015
Headquarters: San Francisco, CA
Company Links
Key Contacts
Contact information not available
About the Company
Leading healthcare technology company focused on improving patient outcomes through innovative digital solutions. We're transforming the way healthcare is delivered with cutting-edge technology and data-driven insights. Our platform serves over 10,000 healthcare professionals and has processed millions of patient interactions.
Recent News & Updates
The NYU Grossman School of Medicine is hiring faculty at the Assistant and Associate Professor levels at the Precision Medicine Division, Department of Medicine. Headed by Dr. Morgan Grams, M.D. Ph.D., and Dr. Aristotelis Tsirigos, Ph.D., the Precision Medicine Division is a collaborative, interdisciplinary research unit and a hub of research expertise within the Department of Medicine. Faculty members include clinical researchers and data scientists in the School of Medicine who foster strong collaborations with the Department of Population Health, the Institute for System Genetics, and the Center for Data Science. Faculty will also consult on strategic technological decisions for NYU Grossman School of Medicine. Scientifically, the overarching goal of the Division is to produce evidence that informs the delivery of high-quality, equitable, and tailored patient care, responding rapidly to changes in health care guidelines, delivery, safety, and regulation. Research performed in the division spans the continuum from pre-clinical multimodal omics to analysis of real-world evidence to implementation science, with the singular goal of improving patients’ lives. We are particularly interested in specific skills relating to bioinformatics in a Learning Health System.
We seek collaborative colleagues with a focus on medical machine learning computational and statistical modeling, as well as research using electronic health records, mobile health data and other human data. Interest in areas outside of cancer a plus.
Successful candidates will hold a primary faculty appointment in the Department of Medicine, and will have opportunities to participate in one or more graduate programs. The candidate is expected to lead her/his own research programs as well as foster collaborations throughout NYU Langone Health.
PhD in biomedical informatics, epidemiology, implementation science, engineering, or computer science, with applications in the life sciences. MDs with computational expertise are highly encouraged to apply.
NYU Langone Health 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.
Keep track of your job search
Save personal notes for each job to track your thoughts, application status, and follow-ups.
Try for freeUpload your resume
Sign up to upload your resume and get AI-powered customization for job applications.
Sign up freePractice your interview
Get AI-powered mock interviews tailored to this Assistant/Associate Professor role. Upload your resume and practice with real-time voice feedback.
Sign up to practice