Data Engineer, Research Informatics

About the Role

The Data Engineer, Research Informatics plays a critical role in enabling data-driven clinical and translational research across Montefiore. This position is responsible for designing, building, and maintaining scalable data pipelines and research-ready datasets that integrate complex, multi-source healthcare and research data.

Key Responsibilities

• Develop and maintain research data pipelines that integrate clinical records, text, imaging, and other approved data sources. Document data definitions, quality checks, metadata, lineage, and transformations.
• Help implement standardized, governed data access workflows and reusable tools for cohort discovery, phenotyping, trial feasibility, recruitment planning, and research analytics. Translate investigator needs into scoped requirements and track delivery.
• Develop, benchmark, and validate AI methods, including information extraction, multimodal models, large or vision language models, and interpretable or knowledge informed approaches.
• Turn validated methods into maintainable research services and interfaces, with version control, automated tests, monitoring, user documentation, and clear handoff to authorized operational partners.
• Set evaluation plans with investigators and clinical experts, including baselines, validation splits, human review, error analysis, reproducibility checks, and assessment of subgroup performance and potential bias.
• Work with various partners to implement approved access and governance requirements. Prepare technical evidence for review and escalate higher risk use cases.
• Support investigators through consultations, demonstrations, training materials, and reusable examples; contribute technical content to publications, grants, and multi-site research collaborations.
• Track service measures such as request turnaround, cohort or feasibility output quality, reuse of methods, model performance, and investigator feedback; report progress and operational issues.

Requirements & Tech Stack

• Experience in one or more of the following: medical imaging; clinical NLP or information extraction; large language or vision language models; multimodal learning; clinical or other sensitive research data.
• Experience with GPU or high-performance computing, reproducible model training and inference, containers, SQL, APIs, or research data platforms.
• Familiarity with clinical research workflows, FAIR data practices, common data models, biomedical ontologies, data provenance, human review, or responsible AI assessment.
• Evidence of research communication and user-focused delivery through publications, presentations, open source work, training, or documented deployed projects.

Qualifications

• Master’s degree or equivalent research or industry experience in AI, computer science, biomedical informatics, or a related field.
• Experience working with healthcare and/or research data, including EHR systems (Epic Clarity, Caboodle preferred), clinical registries, or real-world data sources.
• Familiarity with research data standards and models (e.g., FHIR, OMOP) is a plus.
• Montefiore employees must be available to work on-site at our Yonkers and Bronx, NY locations as business needs require.