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Senior Database Analyst

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 Senior Database Analyst.

Primary responsibility for extracting data and designing complex relational databases for quality improvement (QI) and research programs within the department of Cardiothoracic Surgery. Implements user interfaces for data capture. Provides reporting capabilities. Manages data security. Performs data quality control and validation of data consistency and integrity. Coordinates data management efforts from multiple clinical sites to seamlessly integrate and structure data from disparate clinical, echo, radiographic, laboratory, and/or research silos into a comprehensive database. Works collaboratively with program leaders, surgeons, nurses, administrators, and staff to support QI and research initiatives. Performs statistical data analysis and assist with grants, publications and presentations. Reports directly to the Department Chairman, the Director of the Aortic Surgery Program, and the Department Administrator.

Job Responsibilities:

    • Work collaboratively with Department of Cardiothoracic Surgery project teams and the NYU Langone Institute for Artificial Intelligence in problem solving and efficient strategies for data collection, database architecture, and statistical analyses.
    • Work closely with the Department Chairman and Aortic Program Director to organize and prioritize data management needs and statistical analyses to support QI and research projects.
    • Design, implement, and develop linkages for relational databases across multiple settings (e.g. EPIC,  Healthix, New York State and Society for Thoracic Surgeons Registries, CMS claims data, National Death Index, etc) and across multiple sites (e.g. NYU Langone Health System hospitals and external collaborating institutions).
    • Design and develop user interfaces for project specific questionnaires, data entry, subject tracking, and medical follow-up.
    • Coordinate data management processes across clinical sites and harmonize data.
    • Design and develop procedures for data quality control and validate integrity and consistency of data.
    • Design reporting procedures and produce reports to Project Leaders on regular basis.
    • Provide database training/tutorial sessions for all researchers and staff involved in data entry.
    • Run basic (e.g. EXCEL) and advanced (e.g SAS, SPSS) statistical data analysis for QI and research projects with knowledge of descriptive statistics, observational research, mulit-center clinical trials, outcomes research, survival analyses, propensity scoring/matching, competing risk, etc.
    • Responsible for ongoing database administration and trouble shooting for all datasets
    • Attend all project team meetings on a regular basis

Minimum Qualifications:
To qualify you must have a Knowledge of electronic data capture (EDC) design and programming.

Preferred Qualifications:
At least 5 years of experience as a professional database manager with statistical skills to support and coordinate QI projects and research studies
Team player with excellent diplomatic skills
Detail oriented with excellent time management skills
Excellent communication skills
Excellent documentation as well as writing skills
Proficient in EXCEL, SAS, SPSS, R, HTML, PHP, Media WIKI, Java, JavaScript, C/C++, SQL, Pearl, Visual Basic
Proficient in working with Operating Systems/Environments (EPIC, Windows, Unix/Linux, Mac), Microsoft Office, Matlab, Mathematica, Photoshop, MySQL interfaces, specifically Navicat, and REDCap, Redmine systems, Powerpoint

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 for more information.

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 $76,721.84 – $123,188.00 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

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