Overview
Skills
Job Details
Job Description (Posting). Key Responsibilities:
Analyze and translate business and user needs into system designs tailored for veterinary analyzers (chemistry, hematology, pathology).
Collaborate with R&D and OEM teams on device integration, firmware/software lifecycle, and interoperability.
Evaluate and document diagnostic equipment performance and interface compatibility (e.g., LIS, PIMIS).
Cloud & On-Prem Integration (Azure-Focused):
Design hybrid architecture connecting on-prem OEM systems to Azure cloud services (IoT Hub, Azure Data Factory, Azure Synapse, Blob Storage).
Lead efforts in cloud migration, device telemetry ingestion, data lakes, and secure access control via Azure Active Directory.
Manage APIs and data pipelines supporting real-time diagnostics, alerts, and compliance logging.
OEM and Edge Technology Collaboration:
Work closely with OEM hardware/software vendors for embedded system integrations, SDK utilization, and device lifecycle management.
Validate compatibility of local diagnostic equipment with cloud-enabled analytics, dashboards, and mobile platforms.
Precise Reporting and Data Management:
Define and build structured reports for diagnostic trends, device utilization, error rates, and lab throughput.
Leverage Power BI, Azure Monitor, and custom dashboards for near-real-time visualizations and KPI tracking.
Ensure traceability, audit-readiness, and compliance.
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Required Skills and Qualifications:
Bachelor s/Master s in Biomedical Engineering, Computer Science, or related technical discipline.
10+ years of experience in system analysis, healthcare IT, and medical or veterinary device integration.
In-depth knowledge of chemistry, hematology, and pathology analyzers from key OEMs (e.g., IDEXX, Abaxis, Heska, etc.).
Proven hands-on experience with Azure Cloud services including IoT, DevOps, Data Factory, Key Vault, and ARM templates.
Familiarity with device communication protocols (HL7, ASTM, POCT1-A, serial, TCP/IP).
Strong documentation and reporting capabilities using Power BI, SQL
Experience in data privacy, cybersecurity, and regulatory frameworks for diagnostic devices.
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Preferred:
Certifications: Microsoft Certified: Azure Solutions Architect Expert / Azure IoT Developer
Experience with Agile/Scrum methodologies and DevOps toolchains (Terraform, GitHub Actions, Azure DevOps).
Background in veterinary or animal health domain-specific data analytics and workflow optimization
Skill (Primary) Data Fabric-Cloud Datawarehouse-Snowflake