NYU Langone is one of the nation's premier academic medical centers that includes five hospitals (Tisch Hospital, Rusk Rehabilitation, Hospital for Joint Diseases, Hassenfeld Children's Hospital of New York, and NYU Lutheran Medical Center) and more than 200 ambulatory locations across the New York metropolitan area. It also includes NYU School of Medicine, which since 1841 has trained thousands of physicians and scientists who have helped to shape the course of medical history. Our trifold mission to serve, teach, and discover is achieved daily through an integrated academic culture devoted to excellence in patient care, education, and research. Learn more about NYU Langone.
We have an exciting opportunity to join our team as a Assoc Data Sci Anlyst/Engineer.
The NYU Langone Comprehensive Obesity Initiative is a new, institution-wide effort to better understand, treat and manage obesity at the population and clinical levels. The Initiative unites cutting-edge population health, clinical, and basic science research through a uniquely comprehensive electronic data source -- a multi-disciplinary DataBridge. This rich resource will enable investigators to address long-standing questions from completely new perspectives, using cutting-edge machine learning and other big data techniques. Key insights will be translated into real, evidence-based obesity prevention, treatment, and management solutions. This position helps to test a large, comprehensive repository for integration of diverse data pertaining to obesity (basic, clinical, and population sciences). Contributes to the creation of a user-friendly infrastructure that integrates and makes usable diverse and disparate data, and provides foundations for integration of advanced machine learning methods. Conducts wide-ranging analyses on these data, interprets and presents outcomes.
Assist in writing and editing manuscripts for publication.
Conduct relevant literature reviews to inform cohort selection, variable definitions, and analytic methods
Participate in data-driven decision making with investigators
Develop programs, methodologies, and files for analyzing and presenting data. Clearly communicate processes used and results achieved, and suggest new and alternative approaches.
Suggest innovative solutions to data questions.
Monitor, evaluate, and improve data quality. Detect and address issues in data, analytic results, and databases.
Conduct comprehensive statistical analyses according to the study design (e.g., cross-sectional, time series, difference-in-difference, machine learning) and prepare sophisticated reports, charts and tables. Accurately and appropriately interpret and communicate results
Continually manage ongoing additions to database. Import and clean raw datasets and create analytic datasets. Develop, manage, and improve databases to track provenance and versioning.
Test large, comprehensive repository for integration of diverse data (basic, clinical, and population sciences).
Cultivate deep familiarity with methodological approaches and data from diverse sources including big data platforms, large administrative databases, small-scale survey data, clinical and basic science, and others, and work to construct a database integrating them together.
To qualify you must have a Masters in Data Science, Machine Learning, Computer Science or related area
One year data analysis/machine learning experience or equivalent combination of education and experience.
Familiarity with major machine learning models and data mining techniques.
Able to write code well in Python, R, or C++. Passion about being part of a team that solves big problems in health care.
Familiarity with electronic health record databases.
Familiarity with data driven modeling (including gathering and cleaning data, exploratory analysis, implementing models, error analysis, and presenting the findings)
Extensive experience with Python.
Comfortable with interfacing between database and python-pandas or other packages.
Experience with a few machine learning open-source packages (such as sklearn)
Excellent communication skills
Qualified candidates must be able to effectively communicate with all levels of the organization.
NYU Langone 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.
NYU Langone Medical Center is an equal opportunity and affirmative action employer committed to diversity and inclusion in all aspects of recruiting and employment. All qualified individuals are encouraged to apply and will receive consideration without regard to race, color, gender, gender identity or expression, sex, sexual orientation, transgender status, gender dysphoria, national origin, age, religion, disability, military and veteran status, marital or parental status, citizenship status, genetic information or any other factor which cannot lawfully be used as a basis for an employment decision. We require applications to be completed online.
NYU Langone Medical Center, a world-class patient-centered integrated academic medical center, is one of the nation's premier centers for excellence in clinical care, biomedical research, and medical education. Located in the heart of Manhattan, NYU Langone is composed of four hospitals – Tisch Hospital, its flagship acute care facility; Rusk Rehabilitation; the Hospital for Joint Diseases, one of... only five hospitals in the nation dedicated to orthopaedics and rheumatology; and Hassenfeld Children's Hospital, a comprehensive pediatric hospital supporting a full array of children's health services across the medical center – plus the NYU School of Medicine, which since 1841 has trained thousands of physicians and scientists who have helped to shape the course of medical history. The medical center's tri-fold mission to serve, teach, and discover is achieved 365 days a year through the seamless integration of a culture devoted to excellence in patient care, education and research. For more information, go to www.NYULMC.org.