Senior Database Analyst

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.

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Position Summary:

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

In this role, the successful candidate 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 also leverage advanced data analytics, machine learning, and AI-driven techniques to support predictive modeling and translational research insights. The candidate will play a critical role in harmonizing diverse datasets across studies, supporting advanced statistical modeling and predictive analytics in psychiatric and translational research.

Job 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 data warehouse
• Ensure compliance with institutional, federal (e.g., HIPAA, 21 CFR Part 11), and sponsor-specific data governance requirements.
• 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.
• 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.
• Ability to 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.
• Generation of publication quality figures for presentations and journals
• 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.
• Develop and implement departmental SOPs for data management
• Assist in managing the creation of user accounts and access permissions to folders and files, establish new user accounts and privileges
• 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 development of big database systems
• Ensure smooth integration of data acquired from disparate sources
• Design, maintain and update databases and data collection tools
• Data summary and manipulation in consultation with senior level Biostatistician and Principal Investigators, conducting statistical analyses, and reporting and interpreting of results
• He/She will 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

Other duties as assigned

Minimum Qualifications:
To qualify you must have a Master's or PhD degree in Computer Science, Data Science, Biomedical Informatics, or a related field with 3 or more years 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.
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.

Preferred Qualifications:
Working knowledge of AI/ML frameworks (e.g., scikit-learn, TensorFlow, PyTorch) and their application in healthcare or research analytics is strongly preferred.

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.

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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 $85,000.00 - $100,000.00 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.

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