Data Analyst

NYU Langone Health seeks a Data Analyst to support the CHAMP Center’s work developing predictive and causal models related to child maltreatment and its outcomes. The role prepares and analyzes large research datasets, supports data pipelines and models, and contributes to reporting, data sharing, publications, presentations, and grant activities.

Responsibilities

• Develop data cleaning routines in alignment with program goals, working efficiently with internal and external teams including communicating with stakeholders
• Maintain accurate data dictionaries and code books
• Facilitate real-time data monitoring and interim analyses
• Create and execute plans for new data collection projects
• Maintain familiarity with new technologies for data management
• Provide support on multiple projects to meet timelines
• Create and perform system backups and recovery
• Collaborate with biostatisticians and machine learning experts to prepare data for advanced predictive and causal analyses
• Contribute to the development, validation, and maintenance of models in collaboration with data scientists and clinical investigators, and report and interpret results
• Integrate AI tools and platforms into data pipelines to automate quality checks and outcome forecasting
• Perform statistical analysis of medical and research data using SPSS, Python, Excel, SQL, or other relevant tools; generate data listings, tables, figures, and reports from clinical or operational datasets
• Contribute to research design, methods, and results sections for research publications and grant applications
• Generate publication-quality figures for presentations and journals
• Promote consistency in analytic methods, documentation, and best practices across projects
• Prepare interim summaries and reports, and translate research questions into feasible analytic approaches
• Review and quality-check analytic outputs and code to ensure methodological rigor, reproducibility, and adherence to study protocols
• Assist in pipeline optimization, automation, and quality assurance activities
• Process and analyze complex datasets, including large multimodal research data
• Assist in database administration, code modifications, reporting support, and maintenance of data systems
• Create ad hoc reports and summaries to support operational, research, and funded program needs
• Contribute to data sharing, documentation, archival practices, and compliance with reporting deadlines and protocols
• Adhere to ethical research conduct, confidentiality standards, and institutional procedures

Preferred

• Experience with machine learning, predictive analytics, and AI-enabled data workflows preferred
• Experience Supporting Psychiatric Research Or Other Clinical Research Data
• Familiarity with data standardization, quality assurance processes, and reproducible analytic methods
• Experience contributing to manuscripts, presentations, and grant applications
• Knowledge of funded program reporting, compliance, and interdisciplinary collaboration
• Machine Learning
• Predictive Analytics
• AI-Enabled Data Workflows
• Psychiatric Research Data
• Clinical Research Data
• Data Standardization
• Quality Assurance
• Reproducible Analytics
• Manuscript Contributions
• Presentation Development
• Grant Applications
• Funded Program Reporting
• Compliance
• Interdisciplinary Collaboration

Benefits

• Comprehensive benefits and wellness package
• Financial security benefits
• Generous time-off program
• Employee resource groups for peer support
• Holistic employee wellness program focused on physical, mental, nutritional, sleep, social, financial, and preventive care

Company

• Integrated academic health system for patient care, education, and research
• New York, New York, USA
• https://nyulangone.org/
• Founded in 1841
• 10001+ employees

Qualifications

• To qualify you must have a Masters degree in a relevant field such as biomedical sciences, physical sciences, public health, computer science, data science, biostatistics, or a related discipline
• At least 2-3 years of relevant experience in data analysis, data management, database systems, or research/clinical data environments
• Advanced knowledge of data analysis and data pipeline development
• Experience working with large, multimodal datasets from research databases
• Demonstrated ability to work independently, manage multiple tasks simultaneously, and proactively solve technical and logistical challenges
• Experience in managing data, manipulating data queries, and working with multiple databases
• Strong communication skills and the ability to collaborate effectively with cross-functional teams
• Proficiency in SPSS, Python, Excel, SQL, and database reporting tools
• Experience preparing reports, summaries, tables, and figures for research, clinical, operational, or funded program purposes
• Qualified candidates must be able to effectively communicate with all levels of the organization
• Experience with machine learning, predictive analytics, and AI-enabled data workflows preferred
• Experience Supporting Psychiatric Research Or Other Clinical Research Data
• Familiarity with data standardization, quality assurance processes, and reproducible analytic methods
• Experience contributing to manuscripts, presentations, and grant applications
• Knowledge of funded program reporting, compliance, and interdisciplinary collaboration

Required skills

• Causal data science, Data analysis, Data pipeline development, Database management, Large multimodal datasets, Machine learning, Microsoft Excel, Predictive analytics, Python, SPSS, SQL, Statistical analysis

Experience

• 2-3 years