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Rpa Radiology Jobs in Michigan (NOW HIRING)

Automation Analyst

Grand Rapids, MI · On-site

$70 - $100/hr

We also have a substantial portfolio of RPA automations in production that you'll help inherit. Some are excellent, some are brittle, some probably shouldn't exist. Your job spans both ends.

We also have a substantial portfolio of RPA automations in production that you'll help inherit. Some are excellent, some are brittle, some probably shouldn't exist. Your job spans both ends.

We also have a substantial portfolio of RPA automations in production that you'll help inherit. Some are excellent, some are brittle, some probably shouldn't exist. Your job spans both ends.

Advanced degree in Information Systems, Computer Science, Business Administration, or a related technology field. 10+ years of deep technical expertise in UiPath Robotic Process Automation (RPA). ...

Showing results 21-40

Rpa Radiology information

What is an RPA Radiology?

RPA Radiology professionals are Radiology Physician Assistants, also known as Radiologist Physician Assistants or Radiology Practitioner Assistants. They work under the supervision of radiologists to perform a variety of tasks, including patient assessment, performing certain imaging procedures, and assisting with image-guided interventions. Their role helps improve workflow efficiency in radiology departments and ensures timely patient care. RPAs typically have advanced training in radiologic sciences and must be certified to practice in their field.

What are the key skills and qualifications needed to thrive as an RPA Radiology?

To thrive as an RPA in Radiology, you need a strong background in medical imaging, patient care, and anatomy, typically supported by a relevant degree and ARRT certification. Familiarity with radiology information systems (RIS), picture archiving and communication systems (PACS), and advanced imaging modalities is essential. Excellent communication, attention to detail, and teamwork skills set top professionals apart in this role. These competencies ensure accurate imaging procedures, effective patient interactions, and seamless collaboration with radiologists and healthcare teams.

What are some typical challenges faced by RPA Radiology professionals when implementing automation solutions in healthcare settings?

RPA Radiology professionals often encounter challenges such as integrating automation tools with legacy radiology information systems and ensuring data privacy compliance. They may also need to address workflow resistance from staff unfamiliar with robotic process automation and troubleshoot issues related to the accuracy and reliability of automated processes. Successful professionals collaborate closely with IT, radiologists, and administrative teams to tailor solutions that enhance efficiency while maintaining patient safety and regulatory standards.

What is the difference between Rpa Radiology vs X-ray Technician?

AspectRpa RadiologyX-ray Technician
CredentialsCertification in radiologic technology, ARRT certification often requiredCertification in radiologic technology, ARRT certification often required
Work EnvironmentHospitals, imaging centers, clinicsHospitals, outpatient clinics, diagnostic labs
Job RoleAssists radiologists with imaging procedures, manages imaging equipmentPerforms diagnostic X-ray procedures under radiologist supervision
Industry UsageHealthcare, diagnostic imagingHealthcare, diagnostic imaging

Both Rpa Radiology and X-ray Technicians require similar certifications and work in healthcare settings. Rpa Radiology may involve more administrative and technical support roles, while X-ray Technicians focus primarily on performing imaging procedures. Understanding these differences helps in choosing the right career path in radiology.

Infographic showing various Rpa Radiology job openings in Michigan as of August 2026, with employment types broken down into 84% Full Time, 3% Temporary, and 13% Contract. Highlights an 97% In-person, and 3% Hybrid job distribution.

$175K - $200K/yr

Full-time

Re-posted 11 days ago


Beacon Specialized Living rating

5.5

Company rating: 5.5 out of 10

Based on 43 frontline employees who took The Breakroom Quiz

173rd of 246 rated social care providers


Job description

Position Summary:
This role will be responsible for developing secure, compliant AI infrastructure and reusable frameworks that enable internal teams and external consultants to build and deploy AI agents for Operations, Human Resources, Admissions, and IT, while also supporting advanced LLM-driven clinical and client risk use cases integrated with Beacon's EHR, eMAR, HRIS, CRM, and incident management systems.
NOTE: **Applicants must be legally authorized to work in the United States**
Primary Responsibilities:
• Always be compliant with all company and regulatory policies and procedures.
• Design and maintain an enterprise AI Agent framework supporting:
• Task automation
• Data retrieval and summarization
• Workflow orchestration
• Human-in-the-loop approvals
• Build shared services including:
• Prompt management and versioning
• Tool and API integration layers
• Authentication, role-based access, and audit logging
Clinical AI & Client Risk Intelligence
• Develop and support LLM-powered clinical and risk-focused solutions such as:
• Behavioral and incident pattern analysis
• Medication adherence and documentation quality monitoring
• Early-warning indicators for client risk and escalation
• Integrate AI outputs into clinical workflows, dashboards, and alerts.
• Partner with clinical leadership to ensure interpretability and usability of AI insights.
LLM Engineering & MLOps
• Implement and manage LLM integrations including:
• Secure prompt pipelines
• Retrieval-Augmented Generation (RAG) using enterprise data
• Model evaluation and drift monitoring
• Deploy AI services using scalable cloud-native architecture (APIs, containers, CI/CD).
• Optimize performance, cost, and latency across production AI workloads.
Data Integration & Platform Collaboration
• Work with Data Engineering to leverage:
• Microsoft Fabric
• Azure Data Lake
• Power BI semantic models
• Integrate data from:
• EHR and eMAR platforms
Education and Qualifications:
• Bachelor's degree in Computer Science, Engineering, Data Science, or related field.
• 5+ years of experience in software engineering, data engineering, or AI engineering.
• Hands-on experience with:
• LLM APIs and orchestration frameworks
• Prompt engineering and RAG architectures
• API and microservice development

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