Senior Database Analyst

Job ID: 1165007_RR00122401

Facility: NYU Grossman School of Medicine

Position Type: Full-Time/Regular

Shift: Day

Schedule: Monday to Friday; 9:00AM-5:00PM

Department: IT/Health IT/Informatics, NYU Grossman School of Medicine, Psychiatry-Computational Psyc (S1970),

Position Summary:

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

The Senior Database Analyst will work in the interdisciplinary and cutting-edge Digital Health and Computational Psychiatry Program in the Department of Psychiatry. He/She 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
• 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 development of big database systems
• Ensure smooth integration of data acquired from disparate sources
• 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.
• 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
• 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
• Other duties as assigned

Minimum Qualifications:
To qualify you must have a Masters 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.
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.

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.

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 $84,577.93 – $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.

To view the Pay Transparency Notice, please click here

Salaries shown on independent jobs related websites reflect market averages and do not represent information obtained directly from NYU Langone. We invite and encourage each candidate to discuss salary/hourly specifics during the application and hiring process.

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About NYU Langone Health

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NYU Langone is a world-class, patient-centered, integrated academic health system with Magnet®-recognized status by the American Nurses Credentialing Center (ANCC). Our trifold mission to care, teach, and discover is achieved daily through NYU Langone’s inclusive culture devoted to excellence across the organization. Here, you can advance your career supported by exceptionally talented faculty and staff in an environment where everyone works together to deliver the best possible outcomes for our patients.

Our Hiring Process

Joining Our Team

Get ready to start your career journey at NYU Langone, where cutting-edge research meets compassionate care, and discover how you can contribute to shaping the future of medicine.

Step 1

Apply Online

The NYU Langone hiring process begins with you applying through our online portal. Be sure to update and upload your resume. Shortly after you submit your application, you will receive an email confirmation. Ten days after applying you will receive a talent assessment to be completed.

Step 2

Schedule Interviews

If selected to continue the interview process, HR will reach out via phone or email first. Then, depending on your position, they will schedule an interview with unit managers or team members. You are encouraged to dress professionally for all interviews.

Step 3

Receive Offer

If you successfully complete the interview process and are identified as a finalist for the position, we will require that you complete a professional reference process. After evaluating the completed references, a decision will be made on who will receive a preliminary offer. If you receive a preliminary offer, HR will start the onboarding process with an agreed-upon tentative start date.

Step 4

Training & Orientation

You will be contacted by an onboarding specialist who will work with you on your pre-boarding requirements. Once fully cleared, we will ask you to complete compliance orientation regulatory training. On your first day, you will attend an online required orientation to acclimate to the health system and report to your new department based on instructions provided by your hiring manager.