Children's Hospital of Philadelphia operates a large clinical and research apparatus built on Epic Systems, complemented by a technical stack spanning research tools (R, Python, PyTorch, TensorFlow, MATLAB) and healthcare IT systems (ServiceNow, Workday, OnBase). Current hiring skews heavily toward clinical and research staff, with modest engineering and security capacity — typical for a nonprofit hospital system — though the adoption of GitHub Copilot and RPA suggests emerging focus on operational automation. Pain points cluster around revenue cycle integrity, regulatory compliance, and reimbursement optimization rather than clinical care delivery.
Notable leadership hires: Medical Director, Cardiac Anesthesiology Chief, Research Lab Director, Chief Pharmacy Officer, Director Central Processing
Children's Hospital of Philadelphia is a nonprofit pediatric medical center founded in 1855 and based in Philadelphia, PA. The organization operates as one of the leading pediatric hospitals and research institutions globally, with specializations including fetal surgery, pediatric oncology, cardiology, cardiothoracic surgery, and transplantation. The hospital runs active clinical trials, NIH-funded research programs, and internal quality improvement initiatives across its divisions. With over 10,000 employees, the organization spans healthcare delivery, research, finance, operations, engineering, security, and support functions, with hiring concentrated in clinical and research roles.
Epic Systems is the primary EHR platform, with active projects focused on Epic system enhancements and integration with downstream systems including ServiceNow and OnBase for workflow automation.
Active research includes NIH-funded prospective cohort studies on antimicrobial pharmacology in mothers and infants, brain disease progression and pathology, and ongoing clinical trials managed through the research division.
The organization uses Python, R, C/C++, and MATLAB primarily for research and analytics, alongside PyTorch and TensorFlow for machine learning applications in medical research.
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