Senior Data Analyst

NYU Langone; New York (NY); On-site; USD 70,000 - 93,000; Full time

Job summary

NYU Grossman School of Medicine seeks a Senior Data Analyst in the Ronald O. Perelman Department of Emergency Medicine, Research Division.

The role focuses on data management, analyses of clinical, administrative, and operational data, and designing statistical analyses for large national multicenter datasets. The analyst will work with EHR and CMS data, perform machine learning and causal inference analyses, document code, and present results.

Qualifications

• Bachelor's degree required with 3–5 years of experience.
• Master's degree in statistics, biostatistics, epidemiology, data science, or health economics with 3–5 years in a relevant setting preferred.
• Strong quantitative skills and advanced programming in R, Python, SAS, and/or Stata.
• Experience with EHR data and/or CMS Medicare/Medicaid data.
• Ability to select and apply appropriate statistical methods for large datasets.
• Excellent organizational, time management, and communication skills.
• Ability to work independently and in a collaborative research team.
• Knowledge of biostatistics and epidemiology principles, study design, and causal inference.
• Experience with SQL, version control (Git/Github), and healthcare coding systems (ICD-10, CPT, NDC).
• Ability to work with AI tools to support research and data analysis.

Responsibilities

• Demonstrates Core Values in performance of duties.
• Maintains and constructs analytic datasets and cohorts from EHR and other sources.
• Ensures HIPAA, IRB, and data-use compliance.
• Leads data extraction and preparation using SQL, Epic Clarity, Caboodle; works with OMOP/PCORnet data models and Databricks.
• Oversees multicenter data infrastructure locally and nationally.
• Analyzes large datasets (e.g., HCUP, CMS) in HPC environments.
• Contributes to study design, grant development, and publication drafting.
• Performs coding, debugging, and reproducible data analyses.
• Troubleshoots data/software issues and documents analyses clearly.
• Presents findings to teams and supports publications and conference presentations.

Skills

R

Python

SAS

Stata

SQL

Git/Github

EHR data

CMS data

Biostatistics

Epidemiology

Education

Master's degree in statistics/biostatistics/epidemiology/data science/health economics

Bachelor's degree

Tools

Epic Clarity

Caboodle

Databricks

OMOP

PCORnet

NIA LINKAGE CMS data

Job description

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 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 inclusion and individual skills, ideas, and knowledge. For more information, go to med.nyu.edu , and interact with us on LinkedIn , Glassdoor , Indeed , Facebook , X and Instagram .

Position Summary:

We have an exciting opening for a Senior Data Analyst within the Ronald O. Perelman Department of Emergency Medicine, Research Division. In this role, the successful candidate will work under the direction of Principal Investigator and Medical Director for Geriatric Emergency Medicine, Dr. Ula Hwang. The Senior Data Analyst will be responsible for supporting data management and analyses using clinical, administrative, and operational data, and for planning, designing, and implementing statistical analyses. This will include working with large national and multicenter research network databases, including electronic health record (EHR) and claims data. The individual in this position will support multiple projects in day-to-day activities, including preliminary data analysis, data visualization, predictive and machine learning analytics, causal inference analyses, and results dissemination. All research and programming code must be regularly documented and archived per best practices. Other responsibilities will include coordinating and participating in regular meetings that pertain to data preparation, management, analyses and ongoing research projects. The analyst will communicate information and data in written and verbal form to colleagues as well as project and senior management teams. A successful applicant will be a strong communicator, be curious, inquisitive and resourceful, have a high degree of professional maturity and commitment to excellence, and be able to work autonomously and comfortably on a health services research team in an academic medical center environment.

Job Responsibilities:

• Demonstrates knowledge of the organizations Core Values and incorporates them into the performance of duties.
• Maintains, cleans, and constructs analytic datasets and research cohorts from electronic health record (EHR) databases and other sources in support of research protocols and projects. Ensures that data are compiled, analyzed, and presented appropriately, and performs reviews to ensure data accuracy and completeness.
• Ensures compliance with HIPAA, IRB protocols, and data use agreements.
• Leads knowledge sharing and training of research staff in data extraction, data preparation, data standardization approaches using SQL, Epic Clarity and Caboodle databases, common data models including OMOP, PCORnet, data platforms such as Databricks, and NIA LINKAGE CMS Medicare/Medicaid claims data.
• Oversees and manages multicenter research data infrastructure both locally and nationally.
• Manages and analyzes large datasets, such as HCUP and CMS Medicare/Medicaid claims using high-performance computing environments.
• Contributes to grant proposal and study design development, including initial stages of research project development (e.g., research questions, hypotheses, and statistical analysis plans) and grant writing to secure funding.
• Performs coding, debugging and other tasks in support of data analyses.
• Troubleshoots data or software problems and rapidly resolves issues that occur.
• Under the supervision of research faculty, analyzes, develops, and interprets scientific results. Maintains clear documentation of analyses, including well-documented, version-controlled and reproducible code and analytic workflows. Presents findings to the research team and collaborators.
• Supports the development of publications and conference presentations, including drafting academic and non-academic publications and creating tables, figures, and other data visualizations for presentations.
• May perform other duties as assigned.

Minimum Qualifications:

To qualify you must have a Bachelors Degree and 3-5 years of experience required.

Preferred Qualifications:

• Masters degree in a scientific discipline such as statistics, biostatistics, epidemiology, data science, or health economics, and at least 3-5 years of experience in a relevant setting, or an equivalent combination of education and experience.
• Strong quantitative skills and advanced programming skills in R, Python, SAS, and/or Stata.
• Experience working with EHR clinical data and/or CMS Medicare/Medicaid claims data.
• Ability to select and apply appropriate statistical methods for collecting, summarizing, and analyzing EHR and other large datasets.
• Excellent organizational, time management, and communication skills.
• Ability to work both independently and as part of a collaborative research team.
• Knowledge of principles and methods of biostatistics and epidemiology, including study design, statistical analysis, and causal inference.
• Experience with database queries and SQL, version control systems (e.g., Git/Github), and familiarity with healthcare coding systems and standards (e.g., ICD-10, CPT, NDC)
• Abitity to function independently, demonstrate strong analytical judgment, are inquisitive, anticipatory, resourceful, enjoy critical thinking, and are able to explain methodological choices
• Experience using large language models (LLMs) and other AI tools to support research, programming, or data analysis, including the ability to critically evaluate and validate AI-assisted outputs.

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. At NYU Langone Health, we are committed to supporting our workforce and their loved ones with a comprehensive benefits and wellness package. Our offerings provide a robust support system for any stage of life, whether it's developing your career, starting a family, or saving for retirement. The support employees receive goes beyond a standard benefit offering, where employees have access to financial security benefits, a generous time-off program and employee resources groups for peer support. Additionally, all employees have access to our holistic employee wellness program, which focuses on seven key areas of well-being: physical, mental, nutritional, sleep, social, financial, and preventive care. The benefits and wellness package is designed to allow you to focus on what truly matters. Join us and experience the extensive resources and services designed to enhance your overall quality of life for you and your family.

NYU Grossman School of Medicine is an equal opportunity employer and committed to inclusion in all aspects of recruiting and employment. All qualified individuals are encouraged to apply and will receive consideration.

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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 $70,481.60 - $93,492.00 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.