Senior Database Analyst

NYU Grossman School of Medicine is one of the nation's top-ranked medical schools, committed to improving the human condition through medical education, scientific research, and direct patient care. This role is within the interdisciplinary and cutting-edge Digital Health and Computational Psychiatry Program in the Department of Psychiatry.

About the role

The Senior Database Analyst will design, develop, and maintain relational and non-relational database systems to support complex, multimodal clinical research studies. This position requires deep expertise in data engineering, database architecture, clinical data standards, and research data governance. The ideal candidate will leverage advanced data analytics, machine learning, and AI-driven techniques to support predictive modeling and translational research insights.

Responsibilities

• Develop data cleaning, quality control, and Extract Transform Load (ETL) routines.
• Maintain accurate data dictionaries and code books.
• Create automated dashboards, query tools, and reports to facilitate real-time data monitoring and interim analyses.
• Coordinate with NYU MCIT EDW team to make updates and correct data issues in the data warehouse.
• Create and execute plans for new data collection projects.
• Ensure smooth integration of data from disparate sources.
• Maintain familiarity with new technologies for data management.
• Develop tools for temperature measurement in rodent and human systems.
• Conduct testing in development database systems.
• Troubleshoot IT problems at NYULMC, interfacing with MCIT EPIC and EDW teams as well as with external IT support personnel as needed.
• Ensure compliance with institutional, federal (e.g., HIPAA, 21 CFR Part 11), and sponsor-specific data governance requirements.
• Develop and implement departmental SOPs for data management.
• Assist in managing the creation of user accounts and access permissions to folders and files.
• Provide support on multiple projects to meet timelines.
• Perform system backups and recovery.
• Produce data files for further analysis by statisticians.
• Conduct queries and reports for basic statistical analysis for reporting purposes.
• Generate and maintain codebooks and data dictionaries for development of big database systems.
• Design, maintain, and update databases and data collection tools.
• Collaborate with biostatisticians and machine learning experts to prepare data for advanced statistical modeling and predictive analytics.
• Apply machine learning algorithms (e.g., clustering, classification, regression) to clinical datasets to uncover patterns and predict patient outcomes.
• Develop, validate, and maintain ML/AI models in collaboration with biostatisticians and clinical investigators.
• Integrate AI tools and platforms into data pipelines to automate quality checks, anomaly detection, and outcome forecasting.
• Utilize tools such as Python, R, and SQL to generate insights from structured and unstructured data.
• Design and implement advanced analytics workflows to support hypothesis generation, exploration analysis, and outcome prediction.
• Perform data summary and manipulation in consultation with senior-level Biostatisticians and Principal Investigators, conducting statistical analyses, and reporting and interpreting results.
• Perform statistical analysis of medical research data using SAS, R, or other computer languages; generate data listings, tables, and figures from clinical data; write statistical reports for clinical studies.
• Facilitate the development and application of adequate statistical methods in psychiatric research.
• Conduct statistical analyses for research manuscripts for publication.
• Conduct statistical power analyses for planning research projects.
• Contribute to research design, methods, and results sections for research publications and grant applications.
• Contribute to data management plans for grants and protocols, and support data sharing via platforms like dbGaP, NDA, and other repositories.
• Liaise with NYU IT, IRB, REDCap, and other institutional systems as needed to support data security and compliance.
• Program data extraction codes and post-processing codes for data analysis in MATLAB or other computer languages.
• Provide mentorship and oversight to junior data analysts and research assistants handling data entry, QA, or preprocessing tasks.
• Generate publication-quality figures for presentations and journals.
• Other duties as assigned.

Requirements

• Master’s or PhD degree in Computer Science, Data Science, Biomedical Informatics, or a related field with 3 or more years of related experience or an equivalent combination of education and experience.
• Advanced knowledge of relational and non-relational databases, database architecture, and data pipeline development.
• Proficiency in SQL, Python, R, and SAS, with experience in applying statistical modeling, data analytics, and machine learning techniques.
• Strong understanding of data management principles, including data collection, data flow, quality control, integration, archiving, and clinical data standards.
• In-depth knowledge of clinical and research operations, including familiarity with FDA, ICH, HIPAA, 21 CFR Part 11, and GCP regulations as they relate to data systems and governance.
• Experience developing and maintaining automated reporting tools and data dashboards for real-time analytics and monitoring.
• Experience working with large, complex, multimodal datasets from structured assessments, electronic health records, and research databases.
• Experience with data visualization tools such as Tableau, Power BI, or equivalent.
• Working knowledge of AI/ML frameworks (e.g., scikit-learn, TensorFlow, PyTorch) and their application in healthcare or research analytics is strongly preferred.
• Experience managing and programming in MS Access and MS SQL Server, including Visual Basic for Applications (VBA).
• Familiarity with Cardiff TELEform, LiquidOffice, and OCR-based data capture systems.
• Experience with business intelligence platforms such as SAP BusinessObjects.
• Ability to administer data security protocols, plan for system backup and recovery, and maintain data access controls.
• Demonstrated ability to work independently, manage multiple tasks simultaneously, and proactively solve technical and logistical challenges.
• Excellent organizational, interpersonal, and teamwork skills, with experience training users in data systems and software tools.
• Ability to effectively communicate with all levels of the organization.

Benefits

NYU Grossman School of Medicine provides a comprehensive benefits and wellness package, including:

• Financial security benefits and a generous time-off program.
• Access to employee resource groups for peer support.
• A holistic employee wellness program focusing on physical, mental, nutritional, sleep, social, financial, and preventive care well-being.

Pay

The salary range for this role is $84,577.93 - $100,000.00 annually. Actual salaries depend on a variety of factors, including experience, specialty, education, and hospital need.