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INTRODUCTION

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.

Position Summary:

We have an exciting opportunity to join our team as a Clinical Database Analyst.

The Clinical Data Analyst will join the Center for Healthcare Innovation and Delivery Science (CHIDS), led by Leora Horwitz. CHIDS advances healthcare delivery research, learning health system development, quality improvement, applied AI, pragmatic clinical trials, and care-delivery innovation. The center serves as a collaborative hub for clinicians, researchers, educators, and administrators working to redesign care and improve patient outcomes. The Clinical Data Analyst will support a portfolio of high-impact initiatives, including enterprise applications of large language models (LLMs) to streamline patient care, development of a digital-first primary care practice, and EHR-based tools that strengthen clinical decision-making.

The ideal candidate is highly organized, collaborative, and technically proficient, with experience working with clinical data, healthcare operations, research workflows, and enterprise EHR environments. This individual will translate clinical and operational needs into reliable, scalable data solutions and support the implementation and evaluation of informatics interventions.

JOB RESPONSIBILITIES:

Data Management, Analysis, and Reporting

• Develop, validate, and maintain SQL queries, integrated datasets, dashboards, reports, and other analytic deliverables using clinical, research, administrative, and operational data.
• Extract, integrate, clean, and analyze data from Epic and other institutional source systems to support research studies, quality-improvement initiatives, learning health system projects, and ad hoc analyses.
• Create analysis-ready datasets from multiple data sources while maintaining data provenance, documentation, privacy, and adherence to data-governance requirements.
• Conduct data profiling, validation, reconciliation, and quality-control activities to ensure analytic datasets are accurate, complete, consistent, and fit for purpose.
• Develop recurring and ad hoc reports for project monitoring, data-integrity review, stakeholder communication, and decision support.
• Present findings to technical and nontechnical audiences through written summaries, visualizations, presentations, and stakeholder discussions.

Informatics and Intervention Support

• Partner with clinical, research, operational, technical, and informatics stakeholders to define project goals, workflows, data requirements, outcome measures, and implementation plans.
• Translate clinical and operational questions into clear data specifications, analytic plans, and scalable reporting solutions.
• Support the design, implementation, evaluation, and optimization of clinical and research interventions embedded in Epic and related EHR workflows.
• Assess the impact of proposed interventions on clinical workflows, documentation practices, data capture, end-user experience, and downstream reporting.
• Develop monitoring approaches for intervention adoption, workflow impact, data completeness and quality, and relevant project outcomes.
• Collaborate with clinical systems teams to support the deployment of clinical decision support tools in Epic.

Technical Infrastructure and Operations

• Troubleshoot data, software, and system issues; collaborate with NYULMC MCIT Research staff to develop and implement automated solutions for recurring data extraction, transformation, analysis, and reporting.
• Administer study-database user access; coordinate resolution of access issues and service interruptions; and manage requests for system modifications and report development.
• Manage the prod_CHIDS Databricks catalog, including data access, dashboard development, and long-term project monitoring.
• Support the Rapid RCT Labs analytical infrastructure, including the HPC environment, Databricks platform, GitHub organization, and Ivanti ticketing system.
• Provide technical guidance on project infrastructure, reporting strategies, scalability, reproducibility, and data-management practices.

Research Compliance and Collaboration

• Ensure compliance with applicable external and internal regulations, policies, and standard operating procedures governing research data and data systems, including Good Clinical Practice (GCP), FDA requirements, and organizational policies.
• Maintain high standards of research-data integrity by reviewing study data for completeness and accuracy.
• Work closely with principal investigators and study teams and participate in study-related meetings as needed.

MINIMUM QUALIFICATIONS:

Bachelor's degree in Computer Science or related field with at least 2 years related experience. Experience with electronic data capture (EDC) and database management systems (e.g., REDCap, Velos, Medidata, TrialMaster, Inform, etc.). In-depth understanding of data collection, data flow management, data quality, data extraction and data standards (knowledge of CDISC standards for CDASH, SDTM and ADaM a plus).

PREFERRED QUALIFICATIONS:

Masters degree in biomedical informatics, clinical informatics, data science, public health, healthcare administration, or a related field.

Experience supporting learning health system, implementation science, clinical quality-improvement, or enterprise health informatics initiatives.

Experience with Epic reporting and analytics tools, such as Clarity, Caboodle, Reporting Workbench, SlicerDicer, Cogito, or related platforms.

Experience using LLMs to develop applications, automate workflows, or improve clinical and operational processes.

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. 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. We require applications to be completed online.

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 $66,300.00 - $105,722.27 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.