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Internship Medical Imaging Machine Learning Jobs in Alabama

Teledyne

Jr. Operations Research Analyst

Huntsville, AL · On-site

$97K - $114K/yr

... medical imaging and pharmaceutical research. We are looking for individuals who thrive on making an ... Familiarity or experience with machine learning algorithms. * Education or experience using ...

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Internship Medical Imaging Machine Learning information

What is an internship in medical imaging machine learning?

An Internship in Medical Imaging Machine Learning is a temporary position, typically held by students or recent graduates, where individuals gain practical experience applying machine learning techniques to medical imaging data. Interns work alongside professionals to develop, train, and evaluate algorithms that help interpret medical images such as X-rays, MRIs, or CT scans. These roles often involve data preprocessing, model development, and performance analysis, providing valuable hands-on experience in both healthcare and artificial intelligence. This internship is ideal for those interested in combining expertise in computer science, machine learning, and medical diagnostics.

What types of projects can I expect to work on during an internship in medical imaging machine learning?

As an intern in medical imaging machine learning, you'll typically contribute to projects involving the development and validation of algorithms for tasks such as image segmentation, classification, or anomaly detection using clinical imaging data. Daily responsibilities often include data preprocessing, model training and evaluation, and collaborating with research scientists and clinicians to interpret results. You'll also have opportunities to participate in team meetings, present findings, and receive mentorship, which can help you build both technical and domain-specific skills for future roles in healthcare AI.

What are the key skills and qualifications needed to thrive as an intern in medical imaging machine learning?

To thrive in a Medical Imaging Machine Learning internship, you need a solid background in computer science, mathematics, and biomedical engineering, typically supported by coursework or experience in machine learning and image processing. Familiarity with Python, TensorFlow or PyTorch, and medical imaging tools such as DICOM viewers is commonly required. Strong analytical thinking, problem-solving abilities, and effective teamwork set candidates apart in this field. These skills and qualities enable interns to contribute meaningfully to research and development projects, ensuring accurate analysis and innovation in medical imaging solutions.

What are the most commonly searched types of Medical Imaging Machine Learning jobs in Alabama?

The most popular types of Medical Imaging Machine Learning jobs in Alabama are:

What are popular job titles related to Internship Medical Imaging Machine Learning jobs in Alabama?

For Internship Medical Imaging Machine Learning jobs in Alabama, the most frequently searched job titles are:

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Cities in Alabama with the most Internship Medical Imaging Machine Learning job openings:

Internship Medical Imaging Machine Learning jobs near you

Internship Operations Coordinator

QuantHub

Birmingham, AL • On-site

Internship

Medical, Dental, Vision, Retirement

Posted 4 days ago

Job description

The Internship Operations Coordinator supports QuantHub's growing workforce initiatives by coordinating the day-to-day execution of internship programs, student experiences, and program operations.
This role serves as the operational backbone for Alabama Data Scholars, the new AI for Alabama initiative launching this fall, and future internship cohorts and workforce programs. Working closely with the Employer Partnerships Manager, this position ensures internship programs are delivered with consistency, accuracy, and exceptional attention to detail while creating an outstanding experience for students and employer partners.
Because QuantHub is an education technology company, this role also supports the integration of AI and data skills training into every internship experience through QuantHub's learning platform and skill pathways.

Requirements

Internship Program Operations
  • Coordinate internship cohorts from application through program completion.
  • Maintain program timelines, operational calendars, and implementation plans.
  • Track onboarding, milestones, deliverables, and participant progress.
  • Coordinate required documentation and participant records.
  • Monitor deadlines and proactively follow up to keep programs on schedule.
Student Experience
  • Serve as the primary point of contact for student questions and support.
  • Coordinate student onboarding, orientation, and ongoing communications.
  • Monitor participation, learning progress, and internship completion.
  • Ensure students understand expectations, deadlines, and available resources.
  • Escalate concerns appropriately while maintaining an exceptional student experience.
Employer Operations
  • Partner closely with the Employer Partnerships Manager to ensure seamless internship implementation.
  • Coordinate employer onboarding and operational communications.
  • Manage internship logistics, scheduling, and required documentation.
  • Coordinate employer follow-up throughout each internship cohort.
Skills Training & Learning Platform
  • Coordinate student enrollment into QuantHub's AI and data skill pathways.
  • Monitor learner progress and credential completion.
  • Support integration of learning activities into the internship experience.
  • Help students navigate QuantHub's learning platform and resources.
AI-Enabled Operations & Continuous Improvement
  • Utilize AI tools to improve communication, reporting, and recurring operational tasks.
  • Recommend practical improvements to workflows and standard operating procedures.
  • Support implementation of scalable processes as workforce programs continue to grow.
  • Identify opportunities to improve efficiency while maintaining a high-quality participant experience.
Data & Reporting
  • Maintain accurate student, employer, and program records.
  • Track participation and program metrics.
  • Assist with grant reporting and stakeholder reporting.
  • Ensure data quality across workforce program systems.
Qualifications:
  • Bachelor's degree in Education, Business, Communications, Project Management, Human Resources, or related field.
  • 2-4 years of relevant program coordination, workforce, higher education, customer success, or nonprofit experience.
  • Exceptional organizational and project management skills.
  • Excellent written and verbal communication skills.
  • Ability to manage multiple priorities in a fast-paced environment.
  • High attention to detail.
  • Strong proficiency with Microsoft Office, Google Workspace, and cloud collaboration tools.
Preferred:
  • Experience supporting internship, workforce, or education programs.
  • Interest in education technology, AI, or workforce development.
  • Experience with learning management systems, CRM platforms, or participant management systems.
  • Experience coordinating events or multi-stakeholder initiatives.
  • Familiarity with AI-powered productivity tools and workflow automation.

Benefits

  • Flexible Time Off (FTO)
  • 11 paid holidays per year
  • Flexible remote work
  • Comprehensive health benefits, including medical, dental, vision, and supplemental coverage options (subject to plan terms and eligibility; see full plan documents for details)
  • SIMPLE IRA with a 3% employer match, subject to plan terms and eligibility requirements