1

Biomedical Engineer Intern Jobs in Colorado (NOW HIRING)

Analytics Engineering Intern

Denver, CO ยท On-site +1

$17.25 - $22.50/hr

Analytics Engineering Intern Employment Type: Full Time Location: Remote Description We are looking for an Analytics Engineering Intern who is eager to learn and passionate about transforming ...

Pay Transparency The pay range for the Project Engineer Intern position in Colorado is $16.00 - $19.00 per hour, however, the base pay offered may vary depending on skills, experience, job-related ...

The Hardware Engineering Intern will support engineers in the testing, evaluation and support of new technology designs and product offerings. Position involves statistical analysis of advanced ...

The Hardware Engineering Intern will support engineers in the testing, evaluation and support of new technology designs and product offerings. Position involves statistical analysis of advanced ...

Analytics Engineering Intern

Denver, CO

$17.25 - $22.50/hr

We are looking for an Analytics Engineering Intern who is eager to learn and passionate about transforming information into actionable insights. This role is ideal for students with curiosity for ...

Greeley, Colorado Wells Engineering Intern - Wells engineering internships consist of actual projects worked on in the office with drilling or completions engineers and other functional groups that ...

Analytics Engineering Intern

Denver, CO ยท On-site

$17.25 - $22.50/hr

Description We are looking for an Analytics Engineering Intern who is eager to learn and passionate about transforming information into actionable insights. This role is ideal for students with ...

Showing results 41-60

Biomedical Engineer Intern information

See Colorado salary details

$14

$26

$40

How much do biomedical engineer intern jobs pay per hour?

As of Aug 7, 2026, the average hourly pay for biomedical engineer intern in Colorado is $26.73, according to ZipRecruiter salary data. Most workers in this role earn between $21.73 and $30.34 per hour, depending on experience, location, and employer.

How do biomedical engineer interns typically collaborate with multidisciplinary teams during their internship?

Biomedical Engineer Interns often work closely with professionals from various backgrounds, such as clinicians, mechanical engineers, and software developers. This collaboration is essential for integrating engineering solutions into healthcare settings. Interns may participate in project meetings, contribute to design discussions, and assist in prototype development, all while receiving mentorship from experienced team members. These interactions provide valuable insight into real-world problem-solving and help interns develop strong communication and teamwork skills.

What is the difference between Biomedical Engineer Intern vs Biomedical Equipment Technician?

AspectBiomedical Engineer InternBiomedical Equipment Technician
Required CredentialsTypically pursuing or recent graduate in biomedical engineering or related fieldAssociate's or bachelor's degree in biomedical technology or related field
Work EnvironmentResearch labs, hospitals, or internship settingsHospitals, clinics, or service centers
Employer & Industry UsageEducational institutions, research organizations, medical device companiesHealthcare facilities, medical equipment service providers
Common Search & ComparisonYesYes

The Biomedical Engineer Intern typically focuses on gaining hands-on experience in designing and testing medical devices, often in research or academic settings. In contrast, the Biomedical Equipment Technician primarily maintains, repairs, and calibrates medical equipment in healthcare environments. Both roles require technical knowledge, but the internship emphasizes learning and development, while the technician role involves operational responsibilities.

What is a biomedical engineer intern?

Biomedical Engineer Interns are students or recent graduates who work temporarily in biomedical engineering roles to gain practical experience. They assist in designing, developing, and testing medical devices, equipment, or software under the supervision of experienced engineers. Interns often participate in research, data analysis, product development, and quality assurance projects. This hands-on training helps them apply their academic knowledge to real-world healthcare challenges and prepares them for future careers in biomedical engineering.

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

To thrive as a Biomedical Engineer Intern, you need a solid background in biology, engineering principles, and mathematics, typically obtained through ongoing or completed coursework in biomedical engineering or a related field. Familiarity with CAD software, data analysis tools like MATLAB, and laboratory instrumentation is often expected. Strong problem-solving abilities, attention to detail, and effective teamwork set standout interns apart. These skills and qualities are crucial for contributing to innovative healthcare solutions and succeeding in collaborative research and development environments.
What are the most commonly searched types of Biomedical Engineer jobs in Colorado? The most popular types of Biomedical Engineer jobs in Colorado are:
What cities in Colorado are hiring for Biomedical Engineer Intern jobs? Cities in Colorado with the most Biomedical Engineer Intern job openings:
Infographic showing various Biomedical Engineer Intern job openings in Colorado as of August 2026, with employment types broken down into 90% Full Time, 6% Part Time, and 4% Contract. Highlights an 87% Physical, 4% Hybrid, and 9% Remote job distribution, with an average salary of $55,590 per year, or $26.7 per hour.

Analytics Engineering Intern

Five and Fly

Denver, CO โ€ข On-site, Remote

$17.25 - $22.50/hr

Full-time

Re-posted 28 days ago


Job description

Analytics Engineering Intern
Department: Analytics Engineering Intern
Employment Type: Full Time
Location: Remote
Description
We are looking for an Analytics Engineering Intern who is eager to learn and passionate about transforming information into actionable insights. This role is ideal for students with curiosity for programming, process automation, and building scalable analytical solutions.
As part of our Analytics team, you will collaborate with experienced professionals, contribute to real projects, and strengthen your technical and analytical skills in a dynamic environment.
Key Responsibilities
  • Support the development of automated data workflows and reporting processes.
  • Assist in building scripts and tools using Python to improve operational efficiency.
  • Work with structured and unstructured data to support analytics and automation
    initiatives.
  • Collaborate on process optimization and automation projects across teams.

Skills, Knowledge and Expertise
Technical Requirements
  • Familiarity with Python for scripting, automation and/or data analysis.
  • Basic knowledge of SQL and data querying concepts.
  • Exposure to Power BI or visualization tools.
  • Familiarity with APIs, automation tools, or workflow optimization concepts is a plus.
  • Intermediate proficiency in Excel and data organization.

Professional Qualifications
  • Currently pursuing a Bachelor's degree in Statistics, Engineering, Economics, Business Administration, Data Science, Computer Science, or related fields.
  • Interest in data analysis, business intelligence, or analytics consulting.
  • Strong analytical thinking and attention to detail.
  • Good communication and collaboration skills.
  • Ability to learn quickly and work in a team-oriented environment.
  • Self-motivated, organized, and curious mindset.
    Preferred Qualifications
  • Experience with Python libraries such as Pandas and NumPy, and familiarity with writing scripts for data processing or automation.
  • Experience building academic or personal projects involving data pipelines, dashboards, or automation.
  • Familiarity with GitHub, Git, or version control tools.
  • Interest in building integrations, automations, or data workflows using APIs and scripting tools.
  • Interest in AI, machine learning, or intelligent automation.