Digital Pathology Specialist I - Histology
NeoGenomics Laboratories · Aliso Viejo, CA · 4 wk ago
On-siteHealthcareFull-time
Core Responsibilities
- Lead instrument and system installation and validation strategies along with execution for AI-enabled digital pathology, working with key stakeholders such as Operations, Medical and DTSC.
- Serve as the operational lead for all digital pathology scanning initiatives, coordinating activities across Operations, IT, Digital Pathology, Medical Services, and external vendors.
- Prepare high-quality and timely reports to document development activities and system performance.
- Act as the primary point of contact for scanner vendors, image management system (IMS) vendors, and internal stakeholders during deployments and upgrades.
- Ensure site readiness activities are completed prior to scanner installation, including network connectivity, storage connectivity, and integration testing.
- Lead algorithm validation activities to support operational implementation.
- Anticipate and troubleshoot test performance, workflow, and instrumentation issues.
- Lead design, preparation and implementation of IQ/OQ/PQ reports with cross-functional stakeholders.
- Participate in IT development of AI-enabled equipment and tools.
- Collaborate with Operations on the preparation of department forms and SOPs in accordance with regulatory, medical and operational requirements.
- Participate in site and department audits as applicable.
Qualifications
- Two (2) or more years of experience in Digital Pathology, Laboratory, and/or Information Technology experience.
- HT/HTL (ASCP) preferred.
- Knowledge of CAP Whole Slide Imaging (WSI) validation guidelines and related digital pathology standards, guidance documents, and best practices.
- Experience with digital pathology scanners, image management systems, and AI/image analysis platforms.
- Solid understanding of laboratory techniques.
- Advanced knowledge of regulatory requirements.
- Detail-oriented with ability to capture and record complex scientific data accurately and reliably.