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Biomedical Engineering Student Intern Jobs in Colorado

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Biomedical Engineering Student Intern information

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$10

$19

$28

How much do biomedical engineering student intern jobs pay per hour?

As of Sep 2, 2026, the average hourly pay for biomedical engineering student intern in Colorado is $19.18, according to ZipRecruiter salary data. Most workers in this role earn between $15.53 and $21.88 per hour, depending on experience, location, and employer.

What does a biomedical engineering student intern do?

A Biomedical Engineering Student Intern assists in the development, testing, and evaluation of medical devices, equipment, or technologies under the supervision of experienced engineers or researchers. Interns gain hands-on experience by working on real-world projects, performing laboratory experiments, collecting and analyzing data, and supporting documentation and regulatory processes. This role helps students apply their academic knowledge, develop technical and professional skills, and gain insight into the biomedical engineering industry.

What types of projects can a biomedical engineering student intern expect to work on, and how do these experiences contribute to professional development?

As a Biomedical Engineering Student Intern, you can expect to work on a variety of projects such as assisting with the design and testing of medical devices, supporting laboratory experiments, and analyzing biomedical data. These projects often involve collaboration with multidisciplinary teams, including engineers, clinicians, and researchers, giving you valuable hands-on experience and exposure to real-world challenges. This experience not only enhances your technical skills but also develops your problem-solving, communication, and teamwork abilities, which are highly valued in the biomedical engineering field and can open doors to future career opportunities.

What are the key skills and qualifications needed to thrive as a biomedical engineering student intern, and why are they important?

To thrive as a Biomedical Engineering Student Intern, you need a solid background in biology, engineering principles, and mathematics, typically pursued through an undergraduate degree in biomedical engineering or a related field. Familiarity with CAD software, laboratory instrumentation, and data analysis tools is commonly expected, along with knowledge of regulatory standards like ISO 13485. Strong communication, problem-solving abilities, and teamwork are crucial soft skills for collaborating on interdisciplinary projects and presenting findings. These skills and qualifications ensure interns can contribute meaningfully to research, development, and testing of medical devices or technologies in a professional setting.

What is the difference between Biomedical Engineering Student Intern vs Biomedical Equipment Technician?

AspectBiomedical Engineering Student InternBiomedical Equipment Technician
Required CredentialsEnrolled in biomedical engineering or related programAssociate's or bachelor's in biomedical technology or related field
Work EnvironmentResearch labs, hospitals, or academic settingsHospitals, clinics, or medical device companies
Employer & Industry UsageEducational institutions, research projects, internshipsMedical facilities, service companies, equipment maintenance

Biomedical Engineering Student Interns typically focus on gaining hands-on experience in research and development within academic or research settings, while Biomedical Equipment Technicians specialize in maintaining, repairing, and calibrating medical devices in clinical environments. Both roles require technical knowledge, but the intern role is more educational and project-based, whereas the technician role is more hands-on and operational.

What are the most commonly searched types of Biomedical Engineering Student jobs in Colorado?

The most popular types of Biomedical Engineering Student jobs in Colorado are:

What cities in Colorado are hiring for Biomedical Engineering Student Intern jobs?

Cities in Colorado with the most Biomedical Engineering Student Intern job openings:

Biomedical Engineering Student Intern jobs near you
Infographic showing various Biomedical Engineering Student Intern job openings in Colorado as of July 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $39,900 per year, or $19.2 per hour.

PHD Graduate Student

University of Colorado Colorado Springs

Colorado Springs, CO • On-site

$15 - $19/hr

Other

This job post has expired today. Applications are no longer accepted.

University Of Colorado Colorado Springs rating

7.3

Company rating: 7.3 out of 10

Based on 6 frontline employees who took The Breakroom Quiz

368th of 627 rated colleges and universities

Job description

PhD Student Position available Spring/Fall 2027 — AI in Biomedical Engineering

H-Lab | Department of Computer Science | University of Colorado at Colorado Springs (UCCS)


PI: Yu (Andy) Huang, Ph.D. — Assistant Professor, Department of Computer Science, UCCS

Contact: yhuang6@uccs.edu 


About the Lab


The newly established H-Lab, directed by Dr. Huang, sits at the boundary between physics, engineering, computer science, and biomedicine. Dr. Huang was trained as a biomedical engineer and created ROAST, the field-standard open-source pipeline for personalized modeling of transcranial electric stimulation (TES), spending five years helping commercialize it in industry before returning to academia. He has also built machine-learning systems, developed with practicing radiologists, that detect disease from medical images at expert-level accuracy. The H-Lab’s current interests focus on developing AI systems for biomedical engineering and bioinformatics. Future interests include understanding modern deep-learning systems, embodied AI, neuromorphic computing, and artificial life​. For the lab’s longer-term research visions, please refer to the PI’s webpage https://andypotatohy.github.io/.


Research directions


We are recruiting one PhD student (fully funded with stipend and tuition waiver for 2 years) to help build AI systems for biomedical engineering & informatics. Specific research topics include but not limited to:


  • Algorithms development
  • Image processing, computer vision
  • Computational photography
  • Finite element modeling
  • Machine learning, deep learning
  • Large language models
  • Open-source software development
  • Synergistic activities from topics above with AI, such as agentic AI, AI for scientists​, and AI for engineers​
  • Philosophy of AI


The successful candidate will have access to deep-learning machines and high-performance computing clusters at UCCS with hundreds of GPUs. The successful candidate will also have opportunities to collaborate with the medical device industry and prestigious medical centers.


If any of this excites you, we want to hear from you.


What you must have:


  • Bachelor’s and/or Master's degree in computer science, electrical engineering, biomedical engineering, physics, applied mathematics, or related areas.
  • Good programming knowledge and experience with Python and/or MATLAB.
  • Fluent written and spoken English.
  • Enthusiasm for cutting-edge research, team spirit, and capability of independent problem-solving.


It’s nice to also have:


  • Interest, prior knowledge and experience in one or more of the following: machine learning, deep learning, computational neuroscience, biomedical signal/image processing, finite element modeling, scientific computing, large language models, agentic AI, and philosophy of AI
  • Prior research experience (thesis, publications, open-source contributions)


How to Apply


The position will open in Spring 2027 or Fall 2027 semester. Interested applicants should apply via the department website (https://eas.uccs.edu/academics/programs/computer-science-phd#admission-details) by October 1st for the Spring admission or by February 1st for the Fall admission. Applicants should note in their Personal Statement on which research direction(s) above interest you most and why, and mention Dr. Huang as your doctoral advisor. Applicants are also encouraged to send their CV and unofficial transcript in PDF format to Dr. Huang at yhuang6@uccs.edu.


Why UCCS Computer Science


One of the few departments nationally offering both a PhD in Computer Science and a standalone PhD in Cybersecurity — the latter designated an NSA National Center of Academic Excellence in Cyber Research (CAE-R), the first such designation in Colorado.

Faculty expertise spanning AI, machine learning, computer vision, NLP, biomedical informatics, cybersecurity, computer networks, software engineering, and multiagent systems, across 10 cross-disciplinary research labs.

Research funded by NSF, DoD, and AFOSR, including four NSF CAREER awards and an AFOSR Young Investigator award among current faculty.

Located in Colorado Springs, with deep aerospace, defense, and tech industry ties (alumni at Google, IBM, Lockheed Martin, MITRE, Northrop Grumman, and beyond) and a fast-growing research profile.

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