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Remote Ris Pacs Analyst Jobs in Minnesota (NOW HIRING)

Remote Ris Pacs Analyst information

What is a remote RIS PACS analyst?

A Remote RIS PACS Analyst is an information technology professional who manages, supports, and troubleshoots Radiology Information Systems (RIS) and Picture Archiving and Communication Systems (PACS) for healthcare organizations, often while working from a remote location. These analysts ensure that digital imaging systems function smoothly, allowing radiologists and medical staff to access and store patient images and records efficiently. They may be responsible for system configuration, user support, upgrades, and data security. Their work is essential for maintaining the digital workflow in radiology departments, minimizing downtime, and ensuring compliance with healthcare regulations.

What are some common challenges faced by remote RIS PACS analysts and how can they be addressed?

Remote RIS/PACS Analysts often encounter challenges such as troubleshooting technical issues without physical access to hardware, ensuring data security while working off-site, and maintaining clear communication with radiologists and IT teams across different locations. To address these, analysts typically rely on robust remote access tools, thorough documentation, and scheduled check-ins with onsite staff. Building strong relationships with both clinical and technical team members also helps streamline problem-solving and ensures rapid response to urgent issues.

What is the difference between Remote Ris Pacs Analyst vs Remote Radiology Technologist?

AspectRemote Ris Pacs AnalystRemote Radiology Technologist
Required CredentialsCertification in PACS/RIS systems, often a degree in health information technology or related fieldRadiologic technologist license, ARRT certification, and relevant radiology training
Work EnvironmentRemote, primarily computer-based, supporting imaging systemsRemote or on-site, performing imaging procedures and patient positioning
Employer & Industry UsageHospitals, imaging centers, health IT companiesHospitals, clinics, diagnostic imaging centers

The Remote Ris Pacs Analyst focuses on managing and supporting imaging software systems remotely, while the Remote Radiology Technologist performs imaging procedures and patient care. Both roles require specialized certifications and are integral to radiology departments, but they differ in daily tasks and certification requirements.

What are the key skills and qualifications needed to thrive as a remote RIS PACS analyst?

To thrive as a Remote RIS PACS Analyst, you need a strong background in medical imaging informatics, knowledge of radiology workflows, and experience with RIS (Radiology Information Systems) and PACS (Picture Archiving and Communication Systems), usually supported by a degree in health informatics or a related field. Familiarity with DICOM standards, HL7 integration, and certifications like CIIP (Certified Imaging Informatics Professional) are commonly required. Outstanding problem-solving skills, attention to detail, and effective remote communication are essential soft skills in this role. These competencies ensure seamless imaging operations, rapid troubleshooting, and high-quality support for clinicians and radiology departments in distributed environments.
What are popular job titles related to Remote Ris Pacs Analyst jobs in Minnesota? For Remote Ris Pacs Analyst jobs in Minnesota, the most frequently searched job titles are:
What cities in Minnesota are hiring for Remote Ris Pacs Analyst jobs? Cities in Minnesota with the most Remote Ris Pacs Analyst job openings:

Associate AI Software Engineer

Rayus Radiology

Saint Louis Park, MN • Remote

$65K - $100K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

This job post has expired 1 day ago. Applications are no longer accepted.


RAYUS Radiology rating

7.7

Company rating: 7.7 out of 10

Based on 52 frontline employees who took The Breakroom Quiz

160th of 887 rated healthcare providers


Job description

RAYUS now offers DailyPay! Work today, get paid today!

The pay range for this position is $65,000-$100,000 based on direct and relevant experience.

RAYUS Radiology is looking for an Associate AI Software Engineer to join our team. We are challenging the status quo by shining light on radiology and making it a critical first step in diagnosis and proper treatment. As an Associate AI Software Engineer,you will be responsible for working with our partner vendor for AI platform, and other AI programming tools like Python and Typescript to build and deploy data-driven solutions across our healthcare system. You will be responsible for developing and managing data workflows, analyzing large datasets, and integrating AI and analytics solutions into real-world applications. This is a hands-on role that focuses on executing analytics use cases from start to finish, supporting end-to-end development of analytics applications.

This is an entry level role.NEW GRADSare encouraged to apply and if selected will interview with RAYUS and our vendor partner. The role is remote with occasional in office attendance required at our St. Louis Park, MN location. MN candidates are preferred.

The pay range for this position is $65,000-$95,000 based on direct and relevant experience.

This is a full-time position, working Monday-Friday, 40 hours per week.

ESSENTIAL DUTIES AND RESPONSIBILITIES:

(65%) Systems Development

  1. Collaborate with business analysts, business partners, and other stakeholders, to gather and analyze requirements and translate them into technical specifications
  2. Review software solutions based on standard requirements, and ensure adherence to RAYUS quality controls
  3. Utilize programming languages and tools relevant to the RIS/PACS, and other business solutions, ensuring compliance with industry standards and regulations.
  4. Perform unit and regression testing based upon defined plans and documents/reports outcomes to technical lead
  5. Participate in project meetings including Agile/Scrum grooming, sprint planning, sprint reviews, and daily stand-ups
  6. Collaborate within an agile software development process with the software engineers, subject matter experts, and other stakeholders, to ensure a coordinated and efficient development process
  7. Provide estimates and supporting documentation for new development, maintenance and enhancements
  8. Collaborate with the quality assurance team in the testing of new software

(30%) Application Maintenance

  1. Provide technical assistance and provide timely resolutions to minimize disruptions and adheres to defined service level agreements (SLAs).Respond to software development issues and escalations related to technical obstacles or peer review in a timely manner.
  2. Performs comprehensive root cause analysis and problem-solving with internal and external stakeholders
  3. Provides off hours support for critical maintenance or problem resolution as required
  4. Collaborates across teams to share knowledge that informs optimal service delivery
  5. Maintains comprehensive documentation of system configurations, procedures, and troubleshooting steps, in TFS, Confluence, ServiceNow and other repositories as needed
(5%) Other Duties
  1. Completes other tasks and projects as assigned
Required:
  1. Bachelor's degree in computer science, Data Science, Engineering, or a related field required.
  2. Experience in software development, data engineering, or analytics roles required.
    Proficiency in programming languages like Python, SQL, and Typescript for building analytics applications and managing large datasets required.
  3. Proven ability to translate broad business concepts into effective and scalable data solutions required.
  4. Experience in developing data models and performing data analysis required.
Preferred:
  1. Familiarity with designing scalable and efficient analytics frameworks
  2. Hands-on experience with analytics platforms and tools, including performance optimization and data visualization tools
  3. AI and LLM Aptitude: Strong curiosity and foundational understanding of AI concepts, including Large Language Models (LLMs), machine learning, and natural language processing (NLP), with a willingness to apply and deepen knowledge in these areas
  4. Experience collaborating with senior leadership, IT, and business stakeholders to address strategic challenges
  5. Familiarity with AI and data science platforms for developing and deploying data-driven solutions
  6. Experience with data visualization tools, such as Tableau, Power BI, or similar, for translating complex data insights into actionable, user-friendly visuals

RAYUS is committed to delivering clinical excellence in communities across the U.S., driven by our passion for and superior service to referring providers and patients. RAYUS Radiology is built on our brilliant medicine, brilliant team, brilliant technology and services - all to provide the highest level of patient care possible.

We bring brilliance to health and wellness. Join our team and shine the light on Radiology Services! RAYUS Radiology is an EO Employer/Vets/Disabled.

We offer benefits (based on eligibility) including medical, dental and vision insurance, 401k with company match, life and disability insurance, tuition reimbursement, adoption assistance, pet insurance, PTO and holiday pay and many more! Visit our career page to see them allwww.rayusradiology.com/careers.

DailyPay implementation is contingent upon initial set-up period.


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