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Remote Medical Imaging Machine Learning Jobs in Iowa

... learning and development opportunities and contribute to the success of a globally expanding ... Health Benefits: Full-time employees are eligible for comprehensive medical, dental, and vision ...

... learning and development opportunities and contribute to the success of a globally expanding ... Health Benefits: Full-time employees are eligible for comprehensive medical, dental, and vision ...

Neuroscience Tutor

Iowa City, IA · Remote

$18 - $40/hr

... brain imaging techniques, and neural plasticity while preparing students for medical school ... Ability to adapt to different learning styles and student needs. Ways To Connect With Students * 1 ...

Neuroscience Tutor

Ames, IA · Remote

$18 - $40/hr

... brain imaging techniques, and neural plasticity while preparing students for medical school ... Ability to adapt to different learning styles and student needs. Ways To Connect With Students * 1 ...

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Remote Medical Imaging Machine Learning information

What is a remote medical imaging machine learning specialist?

A remote medical imaging machine learning specialist is a professional who develops and applies machine learning algorithms to analyze medical images, such as X-rays, MRIs, and CT scans, from a remote location. They work with healthcare providers and researchers to improve diagnostic accuracy and streamline image analysis, often using artificial intelligence techniques. This role typically requires expertise in both medical imaging technologies and advanced machine learning, as well as the ability to collaborate virtually with multidisciplinary teams. Their work helps enable faster, more precise medical diagnoses and can contribute to advances in telemedicine.

What are the key skills and qualifications needed to thrive as a Remote Medical Imaging Machine Learning Specialist, and why are they important?

To excel as a Remote Medical Imaging Machine Learning Specialist, you need a solid background in computer science, mathematics, and medical imaging, often supported by a relevant degree (such as in computer science, biomedical engineering, or a related field) and experience with machine learning frameworks. Familiarity with technical tools like Python, TensorFlow, PyTorch, and DICOM imaging systems, along with experience in medical imaging data annotation and model deployment, is typically required. Strong analytical thinking, attention to detail, and effective remote communication skills help differentiate top performers in this field. These competencies ensure the accurate development and deployment of AI models that support clinical decision-making and improve patient outcomes in healthcare environments.

How does a Remote Medical Imaging Machine Learning professional typically collaborate with radiologists and other healthcare experts?

Remote Medical Imaging Machine Learning professionals work closely with radiologists, data scientists, and IT teams to develop and refine AI models for diagnostic imaging. Collaboration often occurs through virtual meetings, shared data annotation platforms, and cloud-based model deployments. Regular feedback from radiologists is essential to ensure the models provide clinically relevant and accurate outputs. This teamwork helps bridge the gap between technical development and real-world clinical needs, leading to more effective and reliable imaging solutions.
What are popular job titles related to Remote Medical Imaging Machine Learning jobs in Iowa? For Remote Medical Imaging Machine Learning jobs in Iowa, the most frequently searched job titles are:
What job categories do people searching Remote Medical Imaging Machine Learning jobs in Iowa look for? The top searched job categories for Remote Medical Imaging Machine Learning jobs in Iowa are:
What cities in Iowa are hiring for Remote Medical Imaging Machine Learning jobs? Cities in Iowa with the most Remote Medical Imaging Machine Learning job openings:
Human Resources Associate - Medical Center North Liberty

Human Resources Associate - Medical Center North Liberty

The University Of Iowa

Iowa City, IA • On-site, Remote

Other

PTO

Posted 17 days ago


University Of Iowa rating

6.8

Company rating: 6.8 out of 10

Based on 84 frontline employees who took The Breakroom Quiz

423rd of 552 rated colleges and universities


Job description

University of Iowa Health Care Medical Center North Liberty (MCNL) is seeking a Human Resources Associate.  This position will support human resource operations within MCNL with primary emphasis on payroll and onboarding functions. Additionally, this position will assist with provision of advice and guidance to department leadership and employees while supporting additional HR functions such as compliance, recognition, communication, and employee engagement. Key responsibilities include payroll administration, coordinating onboarding sessions, completing onboarding tasks, and supporting overall HR operations.

This position will work Monday through Friday generally between the hours of 8:00am-5:00pm. This position is eligible for a combination of on-campus (MCNL) and remote work. Remote work must be performed at an offsite location within the state of Iowa. Successful candidates must comply with requirements of the remote work program and related policies. Work arrangement options will be discussed during the hiring process.

Position Responsibilities:

HR Program Administration & Operations

  • Maintain and edit confidential personnel documents, responsible for uploading documents to ePersonnel files in HRIS for all MCNL staff.
  • Responsible for workflow-related transactions including Change of Status (Accounting Only, Percent Time Change, etc.), Leave of Absence (LOA), Position Management, Special Compensation payments, etc.
  • Supports completion of payroll processing for MCNL and all underlying departments.
  • Verify and enter Certifications, Licenses, and Degree information for staff in ERMA and HRIS.
  • Follow up with managers of staff due for license renewals, compact state licenses due or other required licenses or certification for staff.
  • Maintain knowledge of human resources policies and procedures, including those covered by Regents Merit System, collective bargaining agreements and the University Professional & Scientific system.
  • Responsible for input and ongoing maintenance of information within UI Driver's License Review System for all MCNL Departments and/or Employees
     

Talent Management & Engagement

  • Distribute UI Health Care Years of Service awards and University Longevity awards to supervisors for dissemination to staff; provide resources and information for effective delivery of awards.
  • Initiate ancillary appointments in ERMA and CQ, submit web requests to HCIS, verify license(s) are current, create name badge and ensure all required paperwork is received for Agency Traveler staff for MCNL departments.
  • Coordinate with UI Health Care Traveler and Finance on matters regarding Agency Traveler staff to ensure any issues are resolved timely.
  • Assists MCNL staff regarding the Performance Review system and requirements.
  • Initiate workflow transactions including requests for flex pay, spot awards or other special compensation.
  • Support staff engagement initiatives.
     

Advising & Communication

  • Assist in distributing and communicating HR updates to MCNL leadership and employees.
  • Communicate with staff and leadership to provide basic 'how to' instructions and guidance regarding policies and practices such as payroll applications, compliance issues, and employment inquiries. 
  • Evaluate requests and exercise discretion and judgment in providing confidential information to appropriate parties internally and externally.
  • Schedule face to face meetings, initiate phone call discussions, and support communication with email updates.
     

Strategic Planning

  • Communicate information, policies, and operational changes to assigned divisions/units; provide input on development of policies and procedures within the department; provide recommendations regarding changes to processes, practices, and strategies.
  • Identify opportunities to improve systems and processes, achieve efficiency and/or improve service delivery.
     

Compliance with Policies, Laws, & Regulations

  • Run HR reports, as needed; follow up to ensure compliance; take action to ensure compliance with laws, University policies and departmental expectations, as requested follow up with assigned divisions/units to address outstanding compliance requirements.
  • Monitor licenses, performance appraisals, eCOI disclosure, Flu Campaign and Harassment Prevention. Generate and distribute reports and communications to leadership regarding compliance deadlines and staff who are not compliant.
  • Complete compliance verification documents for current MCNL staff as requested.


University of Iowa Health Care Medical Center North Liberty is home to UI Health Care's nationally recognized Orthopedics service line, offering comprehensive, coordinated, and accessible care across the outpatient, inpatient, and surgical venues. These state-of-the-art clinical facilities also include a full-service community imaging center, laboratory services, physical therapy, retail pharmacy, and emergency department as well as an array of support services. The facility has been designed to support a superior patient and staff experience, excellence across our patient care, teaching, and research missions; convenient access to services; and engaging community partnerships. UI Health Care is seeking a welcoming, highly skilled, and collaborative workforce to be a part of this new campus, and to help further our mission of: Changing Medicine. Changing Lives.
 

Pay Grade: Professional and Scientific Pay Structures | University Human Resources - The University of Iowa (uiowa.edu)

Salary: 2B

University of Iowa offers a generous benefits package, including 24 days paid vacation per year to start and paid sick leave.  Complete information regarding the full benefits package may be viewed at https://hr.uiowa.edu/benefits

Percent of Time:  100%

Location: 701 West Forevergreen Road, North Liberty, IA 52317

Staff Type: Professional & Scientific

Type of Position: Regular

Education Required:

A Bachelor's degree in Human Resources Management or Business Administration or related field, or an equivalent combination of education and experience.

Experience Requirements:

  • Demonstrated excellent verbal and written communication and interpersonal skills.
  • Must possess strong organizational and analytical skills and attention to detail.
  • Demonstrated proficiency with Microsoft Office Suite applications.

Desired Qualifications:

  • Minimum 6 months' human resources experience (within last 3 years), preferably with payroll and/or onboarding responsibilities. 
  • Ability to be organized, flexible and multi-task in a high volume and fast-paced environment.
  • Working knowledge of state and federal regulations affecting human resources.
  • Knowledge of and experience with HR systems (e.g. HRIS, HRMS, payroll, etc.).

In order to be considered applicants must upload a resume (under submission relevant materials) that clearly addresses how they meet the listed required and desired qualifications of this position.  A cover letter is highly desired as part of the application process. Job openings are posted for a minimum of 7 calendar days. This job may be removed from posting and filled any time after the minimum posting period has ended.

Successful candidates will be required to self-disclose any conviction history and will be subject to a criminal background check and credential/education verification.

This position is not eligible for University sponsorship for employment authorization.

For additional questions, please contact Connor Downes at connor-downes@uiowa.edu.

Additional Information
  • Classification Title: HR Associate
  • Appointment Type: Professional and Scientific
  • Schedule: Full-time
  • Work Modality Options: Hybrid within Iowa
Compensation
  • Pay Level: 2B
Contact Information
  • Organization: Healthcare
  • Contact Name: Connor Downes
  • Contact Email: connor-downes@uiowa.edu

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