Research Data Engineer II- Cabin

Join the University of Rochester’s URMC CABIN environment to design, build, and maintain data engineering and analytics infrastructure that supports MRI research and neuroimaging workflows. This onsite role in Rochester, NY offers a salary range of USD 77,216 to 115,824 per year and opportunities to collaborate with researchers, engineers, and IT teams to advance scientific discovery and data‑driven imaging analyses.

Responsibilities

• Design, implement, and sustain data engineering and analytics platforms that back MRI research, neuroimaging workflows, and multimodal data analysis within the URMC CABIN environment.
• Create and maintain scalable data pipelines and software systems that enable researchers to collect, process, store, and analyze structured and unstructured data from MRI scanners, imaging tools, and related platforms.
• Develop data integration frameworks that unify information from imaging systems, research databases, clinical systems, and analysis environments.
• Support the deployment and upkeep of research data infrastructure, including data repositories, data lakes, and workflow automation used in MRI and neuroscience research.
• Collaborate with researchers, engineers, and IT colleagues to deliver reliable, scalable, and reproducible data and software solutions that enable scientific discovery and advanced imaging workflows.

Requirements

• Bachelor’s degree in Data Science, Computer Science, Biomedical Informatics, Bioinformatics, Statistics, Engineering, or a related field
• Minimum of two years of experience in data engineering, research computing, or data-intensive scientific environments
• An equivalent blend of education and professional experience may be considered
• Proficiency in SQL with hands-on experience in at least one additional language such as Python, R, or Java
• Experience developing and maintaining ETL pipelines and research data workflows

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 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