NYU Langone Health

The Department of Population Health at NYU School of Medicine seeks a Research Scientist with a strong background in machine learning and working knowledge of other AI molding tools to support the development of novel methods to generate and update public health surveillance metrics in partnership with a large tech company.. The Research Scientist will be responsible for vetting machine learning models and potentially other AI models developed in partnership with the tech company, for identifying, vetting, and cleaning validation datasets, and other data-related tasks as assigned.. Candidates should have R programming skills and knowledge and experience in geospatial analysis and AI methods.. Preferred Qualifications: A masters degree in a related field (biostatistics, epidemiology, public health, data science) or commensurate experience Skill and experience in Machine Learning and other AI methods Familiarity with commonly used community health metrics Familiarity with U.S. administrative geographies (counties, congressional districts, consolidated and incorporated places, census tracts etc.). and geospatial analysis Skill and experience in R statistical programming language 2-3 years experience in an analytics role with database management experience Skill and experience with statistical analysis, including measures of uncertainty, validation, and regression analysis Qualified candidates must be able to effectively communicate with all levels of the organization.

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, diversity, 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 diversity, inclusion, and individual skills, ideas, and knowledge. For more information, go to med.nyu.edu, and interact with us on LinkedIn, Glassdoor, Indeed, Facebook, Twitter and Instagram. Position Summary: We have an exciting opportunity to join our team as a Research Scientist. The Department of Population Health at NYU School of Medicine seeks a Research Scientist with a strong background in machine learning and working knowledge of other AI molding tools to support the development of novel methods to generate and update public health surveillance metrics in partnership with a large tech company. The Research Scientist will be responsible for vetting machine learning models and potentially other AI models developed in partnership with the tech company, for identifying, vetting, and cleaning validation datasets, and other data-related tasks as assigned. They will join the NYU Health Dashboard Initiative data team that produces the City Health Dashboard (www.cityhealthdashboard.com) and the Congressional District Health Dashboard (https://www.congressionaldistricthealthdashboard.org/). This will involve working with data at the federal, congressional district, county, city, census tract, and census block levels; contributing to the design and evaluation of emerging data sets for creating novel health metrics; aggregating geographic data; and calculating robust health metrics that align with administrative boundaries. Candidates should have R programming skills and knowledge and experience in geospatial analysis and AI methods. Candidates must have strong organizational skills with the ability to carry out a variety of directed tasks. The candidate should also have a demonstrated commitment to public health and health equity. Job Responsibilities:  Assisting in the development, calculation, and validation of new health metrics using machine learning and other AI methods  Retrieving and evaluating data parsed to various geographic boundaries for use in Dashboard initiative websites with attention to issues of sample size, bias, and timeliness  Documenting workflows and methodological challenges to generating health metric estimates across numerous geographies  Regularly present analytic processes and results to other team members  Assisting in preparing journal articles, reports, and policy briefs  Other analytic or research tasks as necessary Minimum Qualifications: To qualify you must have a MS degree and 2-4 years of experience or equivalent combination of education and experience. Preferred Qualifications: A masters degree in a related field (biostatistics, epidemiology, public health, data science) or commensurate experience Skill and experience in Machine Learning and other AI methods Familiarity with commonly used community health metrics Familiarity with U.S. administrative geographies (counties, congressional districts, consolidated and incorporated places, census tracts etc.) and geospatial analysis Skill and experience in R statistical programming language 2-3 years experience in an analytics role with database management experience Skill and experience with statistical analysis, including measures of uncertainty, validation, and regression analysis 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. NYU Grossman School of Medicine 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. If you wish to view NYU Grossman School of Medicine's EEO policies, please click here. Please click here to view the Federal 'EEO is the law' poster or visit https://www.dol.gov/ofccp/regs/compliance/posters/ofccpost.htm for more information. 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 $52,649.99 - $81,000.00 Annually. 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<p>by Jobble</p>

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