Research Data Engineer II- Cabin

This onsite role designs, develops, and maintains data engineering and analytics infrastructure to support MRI research and neuroimaging workflows within the URMC CABIN environment, building scalable data pipelines and data integration frameworks for multimodal research data.

Responsibilities

• 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.

Requirements

• Bachelor's degree in Data Science, Computer Science, Biomedical Informatics, Bioinformatics, Statistics, Engineering, or a related field (required)
• 2+ years of experience in data engineering, research computing, or data-intensive scientific environments (required)
• An equivalent combination of education and experience may be considered (required)
• Strong programming experience in SQL and at least one additional language such as Python, R, or Java (required)
• Experience building and maintaining ETL pipelines and research data workflows (required)

Technologies

• SQL
• Python
• R
• Java
• Docker
• Singularity
• Git
• REDCap
• electronic lab notebooks
• biospecimen management systems
• DICOM
• NIfTI
• Linux
• HPC
• cloud infrastructure
• data lakes
• data repositories

Knowledge, Skills and Abilities

• Strong analytical and problem-solving abilities
• Ability to design scalable and maintainable data architectures
• Strong organizational and project coordination skills
• Ability to work effectively in collaborative and matrix research environments
• Excellent written and verbal communication skills for interacting with researchers and technical teams
• Ability to present technical concepts clearly to both technical and non-technical stakeholders
• Attention to detail and commitment to high-quality data and software practices

Location

Rochester, NY onsite

Salary

USD 77,216 - 115,824 per year