Data Engineer - Research Informatics

Montefiore Health System is seeking a Data Engineer, Research Informatics to build and maintain scalable data pipelines, research-ready datasets, and data infrastructure for clinical and translational research. The role also develops and evaluates AI methods, supports governed data access, and collaborates with researchers and enterprise teams to deliver reliable, secure research data solutions.

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 to support FAIR aligned reuse
• 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 when suitable for the use case
• 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 ICTR, the Data Science Institute, and Montefiore data, IT, security, privacy, and oversight partners to implement approved access and governance requirements. Prepare technical evidence for review and escalate higher risk use cases through established channels
• 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

Preferred

• 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
• Healthcare Data
• Research Data
• EHR Systems
• Epic Clarity
• Caboodle
• Clinical Registries
• Real-World Data
• Research Data Standards
• Research Data Models
• FHIR
• OMOP

Company

• Academic health system providing specialized patient care and medical education
• Bronx, New York, USA
• https://www.montefiorehealthsystem.org/
• Founded in 1884
• 10001+ employees

Qualifications

• Master's degree or equivalent research or industry experience in AI, computer science, biomedical informatics, or a related field
• 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
• 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

Required skills

• API Development, Biomedical Ontologies, Clinical NLP and Information Extraction, Clinical Research Data, Epic Clarity and Caboodle, FAIR Data Practices, FHIR, GPU and High-Performance Computing, Large Language Models, Medical Imaging, Multimodal Learning, OMOP, SQL

Preferred skills

• $16.68M, (12), (13), (2), (5), *2026, 2022, 2023, 2024, 2025, 2026-10-15, 68, Accounting and Finance, Bronx, New York, USA, Customer Service and Support, Data Powered by, Distribution of Different Job Fields Receiving Sponsorship, Engineering and Development, Grant· $9.68M, H1B Sponsorship, Key Investors, Late Stage, Management and Executive, National Institutes of Health, New York State Department of Health, Product Management, Represents job field similar to this job, Total Funding, Trends of Total Sponsorships, https://www.montefiorehealthsystem.org

Experience

• Mid level