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Senior Data Analyst – Department of Urology

New York NY NYU Langone Health

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, and interact with us on LinkedInGlassdoorIndeed, FacebookTwitter and Instagram.

Position Summary:

We have an exciting opportunity to join our team as a full-time Senior Data Analyst.

In this role, the senior data analyst will be a critical member of our urology research team to assist with study design, data processing, data analysis, and model deployment. The focus of the research will be using electronic health record data to study patterns of diagnoses and outcomes in urologic diseases, with a specific focus on machine learning methods. This individual will be working primarily in the Department of Urology, with potential oversight from principal investigators with joint appointments in the Department of Population Health.

The successful candidate will have a high degree of professional maturity, commitment to excellence, independence, flexibility, and initiative, and will possess the ability for self-directed learning and to work collaboratively with diverse individuals, teams and populations both internally and externally.

Job Responsibilities:

* Translate end-user data requests into technical specifications and specific data elements required for data set, report, or data mart development.

* Elicit requirements for new reporting and data requests by interacting with end users.

* Writing SQL queries to profile data sources and to extract data to fulfill data requests.

* Test and validate the content of reports and data extracts.  Ensure that customers are satisfied with data provided to them.

* Oversee all activities related to data cleansing, data quality, and data validation using industry standards and processes. 

* Create and maintain value sets needed for various research use cases.

* Assist with preparing data tables for and writing portions of reports.

* Perform data analyses with machine learning and statistical methods.

* Deploy predictive models.

* Actively participates in weekly team meetings.

Additional Position Specific Responsibilities:
Focus on AI research

Minimum Qualifications:

Bachelor’s degree required, Masters preferred (see preferred qualifications).

Preferred Qualifications:

*Minimum of 2 years’ experience working with electronic health record (EHR) and/or healthcare claims data; experience with Epics Clarity & Caboodle databases is strongly preferred.

*Experienced Python programmer.

*Prior experience querying databases with at least basic to intermediate SQL scripting, with the interest and ability to learn various SQL dialects (e.g., Impala SQL, Microsoft Transact-SQL, Oracle PL/SQL, PostgreSQL PL/pgSQL).

*Prior experience creating, structuring, cleansing, and validating data sets suitable for statistical analysis.

*Knowledge of varied statistical analysis and modeling techniques.

*Fast learner with the ability to work both independently and in a team environment.

Helpful but not required:

*Prior experience working in a research environment and/or knowledge of research Common Data Models (e.g., OMOP, i2b2, PCORnet, ACT); experience with the OMOP Common Data Model is a plus.

 *Prior experience working with healthcare terminologies and code sets (e.g., ICD-10, RxNorm, LOINC, CPT), and building or using value sets for specific reporting use cases.

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 Langone Health provides a salary range to comply with the New York City Law on Salary Transparency in Job Advertisements. The salary range for the role is $63,935.04– $80,000.00 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

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 for more information.

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