Research Data Engineer II- Cabin

Job summary

As a community, the Uni*** is defined by a deep commitment to Meliora - Ever Better. Embedded in that ideal are the values we share: equity, leadership, integrity, openness, respect, and accountability. Together, we will set the highest standards for how we treat each other to ensure our community is welcoming to all and is a place where all can thrive.

Benefits

Qualifications

• Individual annual salaries/hourly rates will be set within the job's compensation range, and will be determined by considering factors including, but not limited to, market data, education, experience,
• expertise of the individual, and internal equity considerations.
• into robust software and data workflow solutions.
• Develops
• gathering, architecture design, test planning, version control, code review, and deployment.
• Implements automated testing, validation, and quality assurance processes to ensure reliability of research data workflows and software

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
• Performs other
• as assigned to support the technical and operational needs of the CABIN MRI research computing environment.
• MINIMUM EDUCATION & EXPERIENCE
• 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)
• Experience working with large scientific datasets, particularly imaging or biomedical research data (preferred)
• Familiarity with MRI or neuroimaging data formats (e.g., DICOM, NIfTI) (preferred)

Skills

Degrees

Industry

Company size