Data 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 [http://nyulangone.org], 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 Data Analyst.

The Center on Causal Data Science for Child and Adolescent Maltreatment Prevention (The CHAMP Center) seeks a data analyst to support its work determining predictive and causal models for child maltreatment exposures (e.g., physical abuse, sexual abuse, neglect) and outcomes (e.g., PTSD, depression, aggression). The aim of this work is to use these models to build clinical Decision Support Tools to prevent maltreatment and its consequences. The Data Analyst will join a team of data scientists, clinical scientists, and clinicians to build such models so they can inform clinical care. The candidate will have a central role on this team, preparing large real-world data sets for advanced computational analysis using state-of-the-art machine learning predictive classification, and causal data science methods. The Data Analyst will contribute to data pipeline development, database management, quality assurance, statistical analysis, reporting, and data sharing. This individual will work collaboratively with a diverse group of experts on internal and external teams to ensure timely, accurate, and reproducible analytic deliverables. The role also includes supporting research publications, presentations, funded programs, and grant-related reporting activities.

Job Responsibilities

• Develop data cleaning routines in alignment with program goals, working efficiently with internal and external teams
• 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

Minimum 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

Minimum Experience: At least 23 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

Preferred Qualifications

• Experience with machine learning, predictive analytics, and AI-enabled data workflows
• 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

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.

View Know Your Rights: Workplace discrimination is illegal [https://www.eeoc.gov/sites/default/files/2023-06/22-088_EEOC_KnowYourRights6.12ScreenRdr.pdf].

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 - $79,000.00 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.

To view the Pay Transparency Notice, please click here [https://cdn-static.findly.com/wp-content/uploads/sites/290/2017/04/pay-transp_formattedESQA508c.pdf]