Omni Inclusive
Business Analyst with medical device and veterinary analyzers experience
Key Responsibilities: Veterinary Diagnostic Systems Expertise: • nalyze 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.
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.
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
Key Responsibilities: Veterinary Diagnostic Systems Expertise: • nalyze 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.
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.
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