Columbus · 9 hours ago
Systems Engineer/Scientist (Clinical Monitoring and Diagnostic Systems) - REMOTE
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ConsultingInformation Technology
No H1BU.S. Citizen Only
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Responsibilities
Contribute to a multidisciplinary team building the Emergency Department diagnostic suite of the future.
Provide subject matter expertise across all aspects of the application and integration of a broad range of clinical analytical technologies and data analytics (e.g., wearables, imaging, in-vitro diagnostics, predictive tools, decision support, workflow optimization, behavior surveillance, etc.) to maximize throughput while minimizing cost and misdiagnoses in emergency care settings.
Evaluate technical proposals for scientific merit and innovation. Provide feedback, organize reviewer comments, draft recommendations and project summaries, and presentation materials.
Perform market analyses, technical due diligence, literature reviews and generate briefing documents summarizing technical topics related to application and integration of novel technologies for monitoring, screening and diagnostics across the full range of presenting health conditions common within the emergency medical services and hospital emergency departments.
Develop technical and administrative programmatic documentation on short timelines to communicate technical approach, progress, cost, schedule and risk for advanced technology integration and demonstration efforts.
Qualification
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Required
BA + 7 years’ experience, MS + 5 years’ experience, or PhD + 2 years experience. Degrees and formal training should be in data science, systems engineering, data engineering, operations research, AI/ML, data engineering, business analytics.
Experience in healthcare is required.
Remote is acceptable.
Preferred
Familiarity with FDA regulated commercial technologies for screening and diagnostics across a broad range of acute and chronic diseases and conditions
Familiarity with emerging developmental technologies across disparate fields that could be applied to U.S. domestic Emergency Medical Services and Emergency Department applications
Experience conducting technology analysis of alternatives, assessments, and designing technology / system evaluation strategies and detailed plans to include data collection.
Experience conducting system integration to include physical, data, manpower and workflow (concept of operation)
Expertise in data science and AI/ML, ideally in healthcare settings
Knowledge of interoperability requirements in healthcare systems including APIs and cloud platforms, clinical data standards such as SNOMED, LOINC and ICD-10, messaging and document standards such as HL7 and Clinical Document Architecture, data mapping, and privacy standards.
Team oriented with exceptional communication, writing, and organizational skills.
Prior experience supporting commercial innovation centers, ARPA-like programs (e.g., DARPA, IARPA, APRA-E) or U.S. DoD advanced development programs is desired, but not required
Benefits
Full benefits
Company
Columbus
Columbus is a global IT services and consulting company with more than 1,600 employees serving our customers worldwide.
Funding
Current Stage
Late StageTotal Funding
unknown2011-12-15Acquired
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