Senior Database Analyst
$84,578–$100,000 year
On-siteNew York, United States
Job Summary
Design, develop, and maintain relational and non-relational database systems to support complex, multimodal clinical research studies. Develop data cleaning, quality control, and ETL routines while creating automated dashboards and query tools for real-time data monitoring. Collaborate with biostatisticians and machine learning experts to apply algorithms for predictive modeling, outcome forecasting, and advanced statistical analysis. Ensure smooth integration of data from disparate sources and maintain compliance with institutional, federal, and sponsor-specific data governance requirements. Provide mentorship to junior analysts and oversee data management plans for grants and protocols.
Required Qualifications
- Masters or PhD degree in Computer Science, Data Science, Biomedical Informatics, or a related field
- 3 or more years related experience
- Advanced knowledge of relational and non-relational databases, database architecture, and data pipeline development
- Proficiency in SQL, Python, R, and SAS
- 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
- Ability to effectively communicate with all levels of the organization
Desired Qualifications
- Working knowledge of AI/ML frameworks (e.g., scikit-learn, TensorFlow, PyTorch) and their application in healthcare or research analytics
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