Data Integration Analyst
Home/Remote Office Location
Children's Hospital of Philadelphia
SHIFT:
Day (United States of America)Seeking Breakthrough Makers
Children’s Hospital of Philadelphia (CHOP) offers countless ways to change lives. Our diverse community of more than 20,000 Breakthrough Makers will inspire you to pursue passions, develop expertise, and drive innovation.
At CHOP, your experience is valued; your voice is heard; and your contributions make a difference for patients and families. Join us as we build on our promise to advance pediatric care—and your career.
CHOP’s Commitment to Diversity, Equity, and Inclusion
CHOP is committed to building an inclusive culture where employees feel a sense of belonging, connection, and community within their workplace. We are a team dedicated to fostering an environment that allows for all to be their authentic selves. We are focused on attracting, cultivating, and retaining diverse talent who can help us deliver on our mission to be a world leader in the advancement of healthcare for children.
We strongly encourage all candidates of diverse backgrounds and lived experiences to apply.
A Brief Overview
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.
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 Qualifications
- Bachelor's Degree Required
- Master's Degree Computer Science, Information Science, Informatics, Biomedical Engineering, Biological Science or a related discipline Preferred
Experience Qualifications
- At least three (3) years of experience in database development, database administration, data management, or related discipline, with progressively more complex projects Required
- 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
Skills and Abilities
- Working knowledge of SQL required
- Working knowledge of relational database management systems such as PostgreSQL, MySQL, Oracle required
- Working knowledge of one or more of the following required: Python
- Working knowledge of one or more of the following preferred: R, Go, JavaScript
- Working knowledge of biomedical or healthcare data standards such as HL7, ICD, CPT, SNOMED preferred
- Must exhibit excellent verbal, presentation, and written communication skills
To carry out its mission, CHOP is committed to supporting the health of our patients, families, workforce, and global community. As a condition of employment, CHOP employees who work in patient care buildings or who have patient facing responsibilities must be fully vaccinated against COVID-19 and receive an annual influenza vaccine. Learn more.
Employees may request exemptions for valid religious and medical reasons. Start dates may be delayed until candidates are immunized or exemption requests are reviewed.
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* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Computer Science Data management Engineering ETL HL7 JavaScript MySQL Oracle PostgreSQL Privacy Python R RDBMS Research SNOMED SQL Testing
Perks/benefits: Career development
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