Data Engineer - Research Informatics

Montefiore Health System; Plaza (ND); On-site; USD 128,000 - 160,000; Full time

Job summary

Montefiore Health System in Yonkers, NY seeks a Data Engineer in Research Informatics to design, build, and maintain scalable data pipelines. You will integrate complex healthcare data sources, including EHRs and registries, to support cohort identification, longitudinal tracking, and real-world evidence generation.

The role emphasizes data quality, reproducibility, and regulatory compliance, with close collaboration across researchers, biostatisticians, and data engineers to ensure scalable and

Qualifications

• Master’s degree or equivalent in AI, computer science, bioinformatics, or related field.
• Experience with medical imaging, NLP, large language or vision-language models, and multimodal learning.
• Experience with GPU/ HPC, reproducible model training, containers, SQL, APIs, or data platforms.
• Familiarity with FAIR data practices, ontologies, data provenance, and responsible AI.
• Proven research communication through publications, talks, or open source work.

Responsibilities

• Develop and maintain research data pipelines integrating clinical records, text, imaging and approved data sources.
• Implement governed data access workflows for cohort discovery, phenotyping, and trial feasibility.
• Develop and validate AI methods, including multimodal models and interpretable approaches.
• Turn methods into maintainable services with versioning, tests, and documentation.
• Collaborate with researchers, data scientists, and IT to align with enterprise data standards.

Skills

Clinical AI

NLP/Info extraction

Multimodal learning

Research data platforms

LLMs

Education

Master’s degree or equivalent

Tools

GPU HPC

SQL

APIs

Containers

Data pipelines

Job description

City/State:

Yonkers, New York

Grant Funded:

No

Department:

IT - Data & Analytics Health Research Informatics

Work Shift:

Day

Work Days:

MON-FRI

Scheduled Hours:

8:30 AM-5 PM

Scheduled Daily Hours:

7.5 HOURS

Pay Range:

$128,000.00-$160,000.00

Montefiore Medical Center is nationally recognized for clinical excellence—breaking new ground in research, training the next generation of healthcare leaders, and delivering science-driven, patient-centered care. Montefiore is ranked among the top hospitals nationally and regionally by U.S. News & World Report. For more than 100 years, we have been innovating new treatments, procedures, and approaches to patient care, producing stellar outcomes, and raising the bar for medical centers in the region and worldwide. As we build on this momentum, we continue to advance the practice of medicine and set the standard for excellence. Our workforce is among the most diverse in the US: Montefiore associates speak 60+ languages.

Position Summary:

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, including EHR systems, clinical registries, and external datasets.

Working at the intersection of clinical care and scientific discovery, the Data Engineer develops robust data models and infrastructure to support key research use cases such as cohort identification, longitudinal patient tracking, clinical trials, and real-world evidence generation. This role emphasizes data quality, reproducibility, and compliance with regulatory standards, ensuring that data assets are reliable, secure, and suitable for research use.

The Data Engineer will work closely with clinical researchers, biostatisticians, data scientists, and cross-functional teams to translate complex research and clinical questions into scalable data solutions. In addition, this role will collaborate side by side with data engineers across the broader Montefiore data organization, aligning with enterprise data standards, platforms, and best practices to ensure consistency, scalability, and interoperability across clinical, operational, and research domains.

This role also contributes to the advancement of enterprise research data platforms, supporting secure data access, governance, and innovation in analytics to improve patient outcomes and accelerate scientific discovery.

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 escalat 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.

Required:

• 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.

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

* Montefiore employees must be available to work on-site at our Yonkers and Bronx, NY locations as business needs require.

Montefiore Health System, Inc. is an equal employment opportunity employer. Montefiore Health System, Inc. will recruit, hire, train, transfer, promote, layoff and discharge associates in all job classifications without regard to their race, color, religion, creed, national origin, alienage or citizenship status, age, gender, actual or presumed disability, history of disability, sexual orientation, gender identity, gender expression, genetic predisposition or carrier status, pregnancy, military status, marital status, or partnership status, or any other characteristic protected by law.