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Position Summary: We have an exciting opportunity to join our team as a Data Analyst.
In this role, the successful candidate Execute ongoing analysis of research initiatives related to health policy, health choice/behavior, health economics, and population health. Contribute to the Department of Population Health's Section on Health Choice, Policy and Evaluation (HCPE), a dynamic and active research group dedicated to determining the influence of public policy on health and health choices and advancing ways to make policies more effective. Using multidisciplinary approaches, particularly behavioral economics, the group focuses on low-income, racial and ethnic minority populations and pressing public health problems, with a significant focus on obesity. The data analyst processes data from conceptualization through presentation and is responsible for management of datasets. The analyst supports a dynamic group of faculty to make informed policy recommendations and develop novel health policy solutions, often around the food environment, eating and food purchasing behaviors.A strong area of interest for the group is growing our capacity to use machine learning techniques to solve health problems.
Import and clean raw datasets, evaluate data quality, and create analytic datasets
Perform statistical analyses according to the study design (e.g., cross-sectional, time series, difference-in-difference, machine learning)
Detect and address issues in data and analytic results
Develop, manage, and improve databases to track provenance and versioning
Monitor, evaluate and improve the quality of data; prepare reports, charts and tables of data for faculty and staff
Cultivate deep familiarity with methodological approaches and data from diverse sources including big data platforms, large administrative databases, small-scale survey data, electronic health trackers, GPS units and others
Accurately and appropriately interpret and communicate results
Develop programs, methodologies, and files for analyzing and presenting data
Clearly communicate processes used and results achieved, suggest new and alternative approaches
Participate in data-driven decision making with investigators
Conduct relevant literature reviews to inform cohort selection, variable definitions, and analytic methods
Assist in writing and editing manuscripts for publication
Minimum Qualifications: To qualify you must have a Bachelor's Degree with 2 years relevant work experience in Public Health, Economics, Statistics, Biostatistics, or related quantitative research field. Strong statistical computing skills. Proficient in Stata. Keen attention to detail and good documentation habits. Excellent written and oral communication skills. Strong ability to identify, analyze and solve problems. Self-directed and able to manage priorities on multiple projects simultaneously. Must work and communicate effectively with partners. Strong time-management and prioritization skills.
Preferred Qualifications: Masters degree preferred. Proficiency with additional statistical packages such as SAS, R, or Python. Experience working with large datasets Proficient with geospatial tools such as ArcGIS (and by extension, the ArcPy module) or QGIS. Interest in learning programming languages. Experience contributing to research or articles for peer review.
Qualified candidates must be able to effectively communicate with all levels of the organization.
NYU 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 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 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. To view the Pay Transparency Notice, please click here.
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Internal Number: 69434979
About NYU Langone Medical Center
NYU Langone Health is a world-class, patient-centered, integrated academic medical center, known for its excellence in clinical care, research, and education. Included in the 200+ locations throughout the New York area are five inpatient locations: Tisch Hospital, its flagship acute-care facility; Rusk Rehabilitation, ranked as one of the top 10 rehabilitation programs in the country; NYU Langone Orthopedic Hospital, a dedicated inpatient orthopedic hospital with all musculoskeletal specialties ranked top 10 in the country; Hassenfeld Children's Hospital at NYU Langone, a comprehensive pediatric hospital supporting a full array of children's health services; and NYU Langone Hospital—Brooklyn, a full-service teaching hospital and level 1 trauma center located in Sunset Park, Brooklyn. Also part of NYU Langone Health is the Laura and Isaac Perlmutter Cancer Center, a National Cancer Institute–designated cancer center, and NYU School of Medicine, which since 1841 has trained thousands of physicians and scientists who have helped to shape the course of medical history.