Staff Biomedical Platform Engineer, Digital Pathology

NeoGenomics Laboratories

28d•Remote

About The Position

As a Staff Biomedical Platform Engineer, Digital Pathology you will serve as a pivotal technical leader. This role designs and implements the end-to-end “digital backbone” of the NeoGenomics Digital Pathology ecosystem. You will act as the primary technical bridge between external Image Management Systems (IMS), computational pathology and Image Analysis (IA) algorithms, internal LIMS, and the enterprise data warehouse (Snowflake/Azure). Working within a cross-functional matrix of R&D, Lab Operations, Medical Services, and software development teams, the role ensures secure and efficient flow of high-volume Whole Slide Imaging (WSI) data. You will support operational improvements and AI-driven diagnostic workflows, directly impacting diagnostic precision and throughput through scalable, GxP-compliant integration patterns.

Requirements

Bachelor’s degree in Computer Science, Software Engineering, Biomedical Informatics, or equivalent work experience
10 or more years of experience in software architecture and systems integration
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
Exhibits deep mastery of API design (REST, GraphQL), message queuing, and event-driven architecture

Nice To Haves

Master’s degree in Computer Science, Software Engineering, or Biomedical Informatics
5 or more years working in regulated healthcare or life sciences (pharma, biotech, or reference laboratories)
Experience integrating AI/ML models into clinical production workflows within oncology or genomics contexts

Responsibilities

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