Data Analyst

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. 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 Data Analyst.

In this role, the successful candidate The Data Analyst will work directly with Dr. Sunita Desai, Assistant Professor Professor in the Department of Population Health. Dr. Desai conducts health care economics and health care policy research. Her lab studies how incentives embedded in policies impact the behavior of health care providers and consumers, with the aim of informing policymaking to improve value and equity in the health care system. To achieve these aims, her lab conducts secondary analyses using quasi-experimental/causal inference methods with large-scale administrative data sets including health care claims and inpatient discharge data. A current focus of the labs work is measuring the impacts of hospital mergers on health care provision and quality of care for low-income populations; studying the impacts of providing medication price information to providers on prescribing behavior; and studying the impacts of health care information technology adoption on costs and quality of care. Dr. Desai is seeking a qualified Data Analyst to provide support for data management and analyses. The Data Analyst will be responsible for planning, designing, and implementing statistical analyses. A successful applicant will be able to work autonomously and comfortably in an academic medical center environment.

Job Responsibilities:

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  Participates in the design, development, and implementation of statistical analysis plans in support of research goals

  
  

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  Managing and preparing large-scale administrative databases for analysis

  
  

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  Conducting statistical analyses using methods in casual inference and machine learning

  
  

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  Plans and facilitates regular data checking and quality assurance

  
  

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  Conducts and interprets statistical analyses for manuscripts, abstracts, and/or progress reports

  
  

Additional Position Specific Responsibilities:
1. Knowledge of current research and trends in public health; appropriate computer processing methods used to generate, organize, and display statistical and research data 2. Knowledge of predictive modeling and machine learning concepts, including design, development, evaluation, deployment and scaling to large datasets 3. Knowledge of databases (Relational / SQL, NOSQL, MongoDB etc.) 4. Good grasp of software engineering principles. Experience in integrating modern software architectures. 5. Knowledge and some experience in operational aspects of software development and deployment, including automation, testing, virtualization and container technology 6. Knowledge of clinical and operational aspects of healthcare delivery. 7. Excellent written and oral communication skills for a variety of audiences

Minimum Qualifications:
To qualify you must have a Bachelors degree in a quantitative discipline (Biomedical Informatics, Computer Science, Machine Learning, Applied Statistics, Mathematics or similar field)

Preferred Qualifications:
Masters degree in health care economics, health care policy, applied statistics, data science, biostatistics or a Bachelors degree with relevant work experience; Strong quantitative skills and advanced programming skills in Stata, SAS, and/or R; Experience wrangling and analyzing large health care data bases, particularly administrative claims data is preferred; Experience and competency with regression analysis and causal inference methods such as differences-in-differences, regression discontinuity designs, and propensity score matching methods preferred; Ability to select and apply appropriate statistical methods for collecting and summarizing varied data and interpret results; ; At least 2 years of work experience and/or research experience in a relevant setting; Excellent organization, time management, and communication skills and the ability to work both independently and as part of a collaborative research team

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.
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