Data Integration Analyst I

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About the Job

The Translational Research Informatics Group (TRIG) in the Department of Biomedical and Health Informatics (DBHI) is seeking a Data Integration Analyst I to advance imaging informatics within the Radiology Clinical Research Core, led by Hansel Otero, MD, FAAP, Vice Chair for Clinical Research in the Department of Radiology. In this role, the analyst will leverage the technical and scientific expertise of DBHI and the Department of Radiology to perform image de-identification and delivery, integrate medical imaging data with clinical phenotypic and research data, and build scalable data pipelines that support translational and clinical research across multiple pediatric domains. The ideal candidate will have a technical understanding of biomedical imaging standards and modalities, working knowledge of one or more Picture Archiving and Communication Systems (PACS), familiarity with radiology clinical workflows, and experience with cloud computing environments and architecture.

What you will do

• Collaborate with biomedical researchers to identify and analyze scientific problems that require integration of disparate, highly dimensional data types such as clinical and genomic data.
• Quickly acquire biomedical domain knowledge in order to understand requirements for data integration, optimizing data resources and applications to meet scientific needs.
• Create requirements for complex data integration and application development projects, and translate requirements into deliverables.
• Develop and implement innovative data models that represent complex biomedical data types in usable and accessible schema.
• Write extract, transform, and load (ETL) procedures that combine and recombine biomedical data into new, more useful formats.
• Build and optimize scientific data management, data discovery, reporting, and analysis applications using a combination of off-the-shelf and custom tools.
• Manage small projects and subprojects within larger initiatives, identifying, tracking, and reporting on tasks and deliverables against project timelines.

Education

• Bachelor's Degree Required
• Bachelor's Degree Computer Science, Information Science, Informatics, Biomedical Engineering, Biological Science or a related discipline Preferred

Experience

• At least one (1) year of experience in database development, database administration, data management, or related discipline, preferably in a biomedical science or healthcare environment Preferred
• Previous experience in source code management, continuous integration, containerization, and automated testing tools and processes Preferred
• Project management experience Preferred
• Previous experience in data modeling, ETL, and applications of highly dimensional data types such as derived from genomics and observational clinical or human subjects research data Preferred

Knowledge, Skills and Abilities

• Must exhibit excellent verbal, presentation, and written communication skills
• Working knowledge of SQL
• Working knowledge of relational database management systems such as PostgreSQL, MySQL, Oracle
• Working knowledge of one or more of the following preferred: Python/Django, JavaScript/HTML (as used in Single Page Applications), Java, Scala
• Working knowledge of biomedical or healthcare data standards such as HL7, ICD, CPT, SNOMED preferred

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SALARY RANGE:

Salary ranges are shown for full-time jobs. If you're working part-time, your pay will be adjusted accordingly.

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At CHOP, we are committed to fair and transparent pay practices. Factors such as skills and experience could result in an offer above the salary range noted in this job posting. Click here for more information regarding CHOP's Compensation and Benefits.