Data Integration Analyst II

Children's Hospital of Philadelphia-posted 25 days ago
Full-time • Mid Level
Philadelphia, PA
5,001-10,000 employees
Hospitals
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Independently develop integrated biomedical data resources and associated applications that enable novel modes of data intensive clinical and translational research. Analyze clinical, clinical research, and laboratory workflows in order to deliver custom data management, data integration, reporting, and analysis solutions that improve the quality, consistency, and utility of scientific data throughout its lifecycle. Build consensus and buy-in to complex data integration projects by defining clear milestones and quickly delivering iterative data management, database and application products. Develop and apply best-practice methods for creation, optimization, and operation of high-value biomedical data resources, including data modeling, data provenance, data integration, quality control, and patient privacy protection. Work independently and as part of a project team in a highly matrixed research environment, including direct interaction with clinicians and biomedical researchers.

  • 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.
  • Bachelor's Degree Required
  • At least three (3) years of experience in database development, database administration, data management, or related discipline, with progressively more complex projects Required
  • Working knowledge of SQL required
  • Working knowledge of relational database management systems such as PostgreSQL, MySQL, Oracle required
  • Must exhibit excellent verbal, presentation, and written communication skills
  • Master's Degree Computer Science, Information Science, Informatics, Biomedical Engineering, Biological Science or a related discipline Preferred
  • At least four (4) years of experience in database development, database administration, data management, or related discipline, with progressively more complex projects preferably in a biomedical science or healthcare environment Preferred
  • Previous experience in source code management, continuous integration, containerization, and automated testing tools and processes is preferred Preferred
  • Project management experience preferred 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 Preferred
  • 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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