Staff Biomedical Platform Engineer, Digital Pathology at NeoGenomics Laboratories – Fort Myers, Florida
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About This Position
Assists in the architecture and technical implementation of integration layers connecting the selected Image Management System (IMS) and Medical Services technology with core enterprise systems (LIMS, EHR, ordering portals) and Image Analysis (IA) models using API, HL7, and FHIR standards
Designs and maintains the API middleware and microservices strategy across cloud-based and on-prem infrastructure to orchestrate complex workflows between image scanners, IA models, storage platforms, and pathologist viewing systems
Serves as a technical advisor during IMS vendor evaluation by validating integration capabilities, API robustness, and alignment with the NeoGenomics security posture
Collaborate with Data Engineering teams to architect data pipelines that ingest structured metadata and unstructured image assets into Snowflake and the enterprise data lake for downstream analytics and monetization
Defines and enforces technical standards for data interoperability, ensuring semantic consistency across pathology reports, image annotations, and clinical data streams
Designs tiered storage solutions leveraging high-performance computing (HPC) and hot and cold cloud storage to manage petabyte-scale digital pathology assets while optimizing cost
Implements secure and compliant data exchanges aligned with HIPAA, GDPR, and GxP requirements for sharing de-identified image data with biopharma and AI development partners
Partners with Bioinformatics and AI teams design inference pipelines that automatically
route digital slides to IA models for pre-screening and return results to the pathologist workflow
- Bachelor’s degree in Computer Science, Software Engineering, Biomedical Informatics, or equivalent work experience required; Master’s degree in Computer Science, Software Engineering, or Biomedical Informatics preferred
- 10 or more years of experience in software architecture and systems integration with 5 or more years working in regulated healthcare or life sciences (pharma, biotech, or reference laboratories) preferred
- Demonstrates expertise in designing integrations for Digital Pathology, Radiology (PACS/RIS), or high-content imaging systems
- Brings extensive hands-on experience with Microsoft Azure cloud services (Logic Apps, API Management, Functions) and modern data platforms (Snowflake, Databricks)
- Maintains a proven track record of implementing healthcare interoperability standards, including HL7, FHIR, and DICOM
- Integrates AI/ML models into clinical production workflows, preferably within oncology or genomics contexts
- Exhibits deep mastery of API design (REST, GraphQL), message queuing, and event-driven architecture
One is pending.