Senior Health Data Architect & ML Analytics

NYU Langone Health; New York (NY); On-site; USD 85,000 - 100,000; Full time

Job summary

NYU Langone Health is seeking a Senior Database Analyst to design, develop, and maintain complex data systems supporting multimodal clinical research. You will harmonize datasets, apply advanced analytics, and collaborate with biostatisticians and ML experts to drive predictive insights in psychiatry and translational research.

The role emphasizes data governance, HIPAA compliance, and scalable data pipelines, utilizing Python, R, SQL, SAS, and BI tools, within a cutting-edge Digital Health

Qualifications

• Masters or PhD in Computer Science, Data Science, Biomedical Informatics, or related field with 3+ years experience or equivalent.
• Proficiency in SQL, Python, R, SAS with statistical modeling and data analytics experience.
• Familiarity with FDA, ICH, HIPAA, 21 CFR Part 11, and GCP regulations as they relate to data systems and governance.
• Experience developing automated reporting tools and data dashboards for real-time analytics and monitoring.
• Experience with large multimodal datasets from EHRs and research databases.

Responsibilities

• Develop ETL routines and data cleaning for complex studies.
• Create data dictionaries and code books.
• Build automated dashboards and reports for real-time analytics.
• Collaborate with biostatisticians and ML experts to prepare data for modeling.
• Design and implement ML/AI models and integrate AI tools into data pipelines.
• Ensure data security and compliance across systems.

Skills

SQL

Python

R

SAS

Tableau

Power BI

ML/AI

Data governance

Education

Masters or PhD in Computer Science/Data Science/Biomedical Informatics

Tools

MS Access

MS SQL Server

VBA

Tableau/Power BI

OCR data capture

Job description

NYU Langone Health is seeking a Senior Database Analyst to design, develop, and maintain complex data systems supporting multimodal clinical research. You will harmonize datasets, apply advanced analytics, and collaborate with biostatisticians and ML experts to drive predictive insights in psychiatry and translational research.

The role emphasizes data governance, HIPAA compliance, and scalable data pipelines, utilizing Python, R, SQL, SAS, and BI tools, within a cutting-edge Digital Health