
11 - 50 employees
We are a field-focused team of scientists establishing quality assured laboratory networks, diagnostic systems and research laboratories across the globe. We pride ourselves on rapid selection and deployment of urgently needed disease detection and surveillance technologies in austere environments.
π₯ 2 minutes ago
πΊπΈ United States β Remote
π΅ $40k - $70k / year
β³ Contract/Temporary
π‘ Mid-level
π Senior
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11 - 50 employees
We are a field-focused team of scientists establishing quality assured laboratory networks, diagnostic systems and research laboratories across the globe. We pride ourselves on rapid selection and deployment of urgently needed disease detection and surveillance technologies in austere environments.
β’ Support design, implementation, maintenance, and optimization of LIS and LDX solutions. β’ Collaborate with the Association of USAPI Laboratories (AUL) and participate in meetings. β’ Work with laboratory staff and IT teams for end-to-end implementation of LIS and LDX solutions. β’ Customize and integrate LIS platforms to meet workflows and quality assurance protocols. β’ Support data migration, validation, and testing prior to go-live. β’ Maintain LIS and LDX performance ensuring data integrity and security. β’ Train laboratory and IT personnel in LIS use, workflows, troubleshooting, and best practices.
β’ Bachelorβs degree in Medical Laboratory Science, Health Informatics, Computer Science, or a related field. β’ Minimum of 3 years of hands-on LIS and/or health data exchange implementation and administration experience. β’ Experience in networking, systems integration, and data interfacing (HL7, ASTM, FHIR, LOINC, API connections). β’ Proven experience designing and maintaining LIS in clinical diagnostic laboratories. β’ Strong familiarity with laboratory testing workflows (hematology, microbiology, molecular diagnostics, etc.). β’ IT background and prior work in resource-limited or international health settings is highly desirable. β’ Proficiency in one or more LIS platforms (e.g., OpenELIS, SENAITE, HCLab).
β’ Health insurance β’ Flexible working hours β’ Professional development opportunities
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