Clinical Database Analyst

NYU Langone Health • New York, NY

4h • $66,300 - $105,722

About The Position

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

The role translates clinical and operational needs into reliable, scalable data solutions and supports implementation and evaluation of informatics interventions. It combines clinical data analysis and reporting, informatics and intervention support, technical infrastructure and operations, and research compliance and collaboration. The analyst works with clinical, research, operational, technical, and informatics stakeholders and presents findings to technical and nontechnical audiences.

Requirements

• Bachelor's degree in Computer Science or a related field.
• At least 2 years of related experience.
• Experience with electronic data capture (EDC) and database management systems, such as REDCap, Velos, Medidata, TrialMaster, or Inform.
• In-depth understanding of data collection, data flow management, data quality, data extraction, and data standards.
• Ability to effectively communicate with all levels of the organization.

Nice To Haves

• Master's 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 large language models (LLMs) to develop applications, automate workflows, or improve clinical and operational processes.
• Knowledge of CDISC standards for CDASH, SDTM, and ADaM.

Responsibilities

• 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 for research studies, quality-improvement initiatives, learning health system projects, and ad hoc analyses.
• Create analysis-ready datasets from multiple sources while maintaining data provenance, documentation, privacy, and compliance with data-governance requirements.
• Conduct data profiling, validation, reconciliation, and quality-control activities to ensure 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.
• 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 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 proposed interventions' effects 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 deployment of clinical decision support tools in Epic.
• 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.
• 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.
• Review study data for completeness and accuracy to maintain research-data integrity.
• Work closely with principal investigators and study teams and participate in study-related meetings as needed.

Benefits

• Comprehensive benefits and wellness package for employees and their loved ones.
• Financial security benefits.
• Generous time-off program.
• Employee resource groups for peer support.
• Employee wellness program covering physical, mental, nutritional, sleep, social, financial, and preventive care.

What This Job Offers

• Job Type: Full-time
• Career Level: Entry Level