Technical Lead Research Informatics; Jr

Introduction

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The Technical Lead, Research Informatics provides senior technical leadership for enterprise research data and analytics platforms supporting Montefiore Health System and Albert Einstein College of Medicine.

This role is responsible for the technical architecture, data engineering standards, system integration, and performance optimization of research informatics platforms, including Epic Cosmos, Epic Cogito (Clarity/Caboodle), OMOP and other research data models, cohort discovery tools, research dashboards, and emerging AI/LLM-enabled solutions.

The Technical Lead partners closely with product leadership, data engineers, analysts, Montefiore IT, compliance, and research stakeholders to design scalable, secure, high-performance systems that enable clinical and translational research. This role serves as the senior technical authority for research data infrastructure and AI-enabled innovation.

• Define and maintain the technical architecture for research informatics platforms, ensuring scalability, performance, and sustainability.
• Lead design decisions across:
  • Epic Cogito (Clarity/Caboodle) research environments.
  • Epic Cosmos data integration and optimization.
  • OMOP and other research data models.
  • Cohort discovery tools.
  • Research dashboards and analytics platforms.
• Ensure interoperability across EHR, research, and enterprise data systems.

• Support the AVP of Research Informatics in planning and executing multiple data innovation initiatives, ensuring milestones, deliverables, and priorities are met.
• Coordinate with Health Research, Montefiore IT, and external collaborators to align projects with institutional goals and regulatory requirements.
• Serve as a primary liaison for project communications, translating research and operational needs into actionable technical requirements.
• Maintain centralized project tracking systems and comprehensive documentation, including project plans, reports, and meeting summaries.
• Facilitate stakeholder engagement through effective meeting coordination, progress reporting, and follow-up communication to ensure accountability.

• Assist with workflow optimization, including project intake, resource allocation, and reporting on operational metrics.
• Facilitate cross-training and knowledge-sharing activities within the Health Research Informatics team to promote continuity and role coverage.
• Prepare materials for leadership updates, stakeholder meetings, and quarterly reports.

• Translate research and operational requirements into detailed product specifications, user stories, and technical requirements.
• Maintain comprehensive product documentation, architecture diagrams, and data dictionaries.
• Partner with data engineers and analysts to ensure high-quality, performant, and scalable research data assets.
• Collaborate with data analysts, engineers, and informatics staff to define project scopes, ETL specifications, and testing plans.
• Lead product governance for research data environments, including data access models, exclusion criteria, and audit processes.
• Ensure alignment with institutional privacy, security, and regulatory standards.
• Support the implementation and maintenance of cohort query tools, Epic databases, OMOP, and other research data systems.
• Lead and support projects leveraging Large Language Models (LLMs) in clinical and medical research—such as automating data extraction from pathology and clinical notes, improving cohort identification, and integrating AI tools into research workflows.
• Ensure adherence to data privacy, security, and ethical standards in all AI- and LLM-related initiatives.
• Collaborate on the development of user documentation, training materials, and standardized workflows to enhance researcher experience and system usability.

• Bachelor’s degree in…