Research Data Engineer II- Cabin

Job Location

220 Hutchison Rd, Rochester, New York, 14620, United States of America.

$77,216.00 - $ per year.

Designs, develops, and maintains data engineering and analytics infrastructure to support MRI research, neuroimaging workflows, and multimodal scientific data analysis within the URMC CABIN research environment.

Builds and supports scalable data pipelines and software systems that enable researchers to collect, process, manage, and analyze structured and unstructured research data generated from MRI scanners, imaging analysis tools, and related research platforms.

Develops data integration frameworks that aggregate information from multiple sources including imaging systems, research databases, clinical systems, and analysis environments.

Supports the implementation and maintenance of research data infrastructure such as data repositories, data lakes, and workflow automation systems used in MRI and neuroscience research.

Collaborates with researchers, engineers, and IT teams to deliver reliable, scalable, and reproducible data and software solutions that support scientific discovery and advanced imaging analysis workflows.

Design, build, and maintain scalable Extract, Transform, and Load (ETL) pipelines that ingest and process large volumes of MRI and research data from diverse sources including imaging systems, research databases, and scientific computing platforms.

Develop and maintain data architecture capable of supporting growing imaging datasets and complex research workflows.

Collaborate with research teams to translate scientific, technical, and operational requirements into robust software and data workflow solutions.

Develop tools and applications to support MRI data collection, processing, analysis, and reporting.

Manage multiple project timelines while ensuring solutions meet the needs of research teams and stakeholders.

Design and implement project‑specific data workflows supporting MRI research studies, including automated data ingestion, preprocessing pipelines, metadata management, and analytics infrastructure.

Support reproducible research practices and contribute technical expertise to the scientific research process.

Support the development and maintenance of research data infrastructure, including data repositories, research data lakes, high‑performance computing (HPC) environments, and data access APIs.

Ensure reliable, secure, and scalable access to research datasets used in imaging analysis and scientific computing workflows.

Follow established software development lifecycle practices including requirements gathering, architecture design, test planning, version control, code review, and deployment.

Implement automated testing, validation, and quality assurance processes to ensure reliability of research data workflows and software tools.

Participate in the design and execution of testing procedures to validate data pipelines, research software, and system integrations.

Ensure accuracy, reliability, and reproducibility of data processing workflows used in research studies.

Develop and maintain comprehensive technical documentation for data pipelines, system architecture, APIs, and workflow automation tools.

Ensure documentation supports maintainability, reproducibility, and long‑term sustainability of research systems.

Stay informed on emerging technologies in data engineering, neuroimaging analysis, scientific computing, and research software development.

Evaluate new tools, frameworks, and platforms that may enhance MRI research data processing, analytics, and data management capabilities.

Perform other duties as assigned to support the technical and operational needs of the CABIN MRI research computing environment.

• Bachelor’s degree in Data Science, Computer Science, Biomedical Informatics, Bioinformatics, Statistics, Engineering, or a related field (required)
• 2+ years of…