Staff Biomedical Platform Engineer, Digital Pathology

Are you motivated to participate in a dynamic, multi-tasking environment? Do you want to join a company that invests in its employees? Are you seeking a position where you can use your skills while continuing to be challenged and learn? Then we encourage you to dive deeper into this opportunity.

We believe in career development and empowering our employees. Not only do we provide career coaches internally, but we offer many training opportunities to expand your knowledge base! We have highly competitive benefits with a variety HMO and PPO options. We have company 401k match along with an Employee Stock Purchase Program. We have tuition reimbursement, leadership development, and even start employees off with 16 days of paid time off plus holidays. We offer wellness courses and have highly engaged employee resource groups. Come join the Neo team and be part of our amazing World Class Culture!

NeoGenomics is looking for a Staff Biomedical Platform Engineer who wants to learn to continue to learn in order to allow our company to grow. This is remote position with a Monday – Friday, day shift.

Now that you know what we're looking for in talent, let us tell you why you'd want to work at NeoGenomics:

As an employer, we promise to provide you with a purpose driven mission in which you have the opportunity to save lives by improving patient care through the exceptional work you perform. Together, we will become the world's leading cancer reference laboratory.

Position Summary:

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.

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

Education, Experience & Qualifications:

• 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