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Biomedical Engineering Internship Jobs in Connecticut

Biomedical Engineering Internship information

What is a biomedical engineering internship?

A Biomedical Engineering Internship is a temporary position for students or recent graduates to gain hands-on experience in the field of biomedical engineering. Interns often work alongside professionals on projects involving medical devices, healthcare technology, or research and development. This internship provides practical exposure to industry practices, laboratory techniques, and regulatory standards. It helps interns build essential skills, expand their professional network, and increase their chances of securing a full-time role after graduation.

What do biomedical engineering interns do?

Biomedical engineering interns often assist with projects such as designing or testing medical devices, analyzing data from clinical trials, or supporting research on new healthcare technologies. Interns may also be involved in quality assurance tasks, laboratory experiments, or working alongside engineers and healthcare professionals to improve current systems. Collaboration with multidisciplinary teams is common, providing valuable exposure to different aspects of the biomedical field and hands-on experience that supports professional growth.

What are the key skills and qualifications needed to thrive as a biomedical engineering intern?

To thrive as a Biomedical Engineering Intern, you need a solid understanding of biology, engineering principles, and problem-solving skills, often supported by progress toward a relevant degree. Familiarity with CAD software, laboratory equipment, and data analysis tools like MATLAB is commonly expected. Strong teamwork, communication, and adaptability help interns successfully integrate into multidisciplinary research or development teams. These skills and qualities are crucial for contributing effectively to innovative healthcare solutions and gaining valuable industry experience.

What is a typical biomedical engineering internship?

A biomedical engineering internship typically involves assisting with the design, testing, and development of medical devices or equipment. Interns often work in laboratories or clinical settings, gaining experience with CAD software, biomedical instrumentation, and regulatory standards while supporting ongoing research or product development projects.

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

The most popular types of Biomedical Engineering jobs in Connecticut are:

What are popular job titles related to Biomedical Engineering Internship jobs in Connecticut?

For Biomedical Engineering Internship jobs in Connecticut, the most frequently searched job titles are:

What job categories do people searching Biomedical Engineering Internship jobs in Connecticut look for?

The top searched job categories for Biomedical Engineering Internship jobs in Connecticut are:

What cities in Connecticut are hiring for Biomedical Engineering Internship jobs?

Cities in Connecticut with the most Biomedical Engineering Internship job openings:

Infographic showing various Biomedical Engineering Internship job openings in Connecticut as of August 2026, with employment types broken down into 87% Full Time, 5% Part Time, 2% Temporary, 5% Contract, and 1% Nights. Highlights an 85% Physical, 5% Hybrid, and 10% Remote job distribution.

Assistant Professor in PET Center

AACTE Connect360

New Haven, CT • On-site

$68K - $83K/yr

Full-time

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


Job description

The PET Center / Radiology Department at the Yale School of Medicine invites applications for tenure-track assistant professor positions in positron emission tomography (PET) imaging. Successful candidates will be expected to teach both undergraduate and graduate courses in related areas, develop a research program in collaboration with an interdisciplinary team of faculty and secure research funding.

Responsibilities may include the development, characterization and validation of novel imaging biomarkers with PET, pharmacokinetic modeling of novel radiopharmaceuticals, development of advanced image reconstruction algorithms for quantitative PET and PET/MR imaging and the development of deep learning methods to improve quantitative PET imaging.

Yale School of Medicine educates and nurtures creative leaders in medicine and science, promoting curiosity and critical inquiry in an inclusive environment enriched by diversity. We advance discovery and innovation fostered by partnerships across the university, our local community, and the world. We care for patients with compassion, and commit to improving the health of all people.

The Yale University PET Center located on Howard Avenue in New Haven, CT is a 22,000 sq. ft. facility established to advance the interests of Yale clinicians, scientists, and students in molecular imaging research.

The Yale University PET Center is comprised of a technologically advanced radiochemistry laboratory engaged in the development and use of a rich set of PET radiopharmaceuticals labeled with the most common PET isotopes (11C, 15O, 13N, and 18F); and an imaging and data analysis section that oversees scanning procedures and optimizes data acquisition and analysis. The Yale University PET Center collaborates with other School of Medicine departments to provide educational opportunities for doctoral and postdoctoral trainees.

Collaborations with industry partners serve to advance the use of molecular imaging in new medication discovery and the development of new PET radiopharmaceuticals. Current research interests focus on disorders of the central nervous system (CNS), oncology, cardiology, and diabetes. Successful candidates should have a Ph.D. or MD/PhD in biomedical engineering, physics, electrical and computer engineering, computer science, applied mathematics or related fields.

They should have experience and a track record of publications in two of the following areas: PET imaging physics, modeling of PET data and corresponding physical corrections. Tomographic image reconstruction including conventional reconstruction algorithms and penalized image reconstruction techniques.

Radiotracer development, acquisition of experimental data including arterial blood and plasma as well as radiometabolite analysis using HPLC techniques, pharmacokinetic modeling including blood-based and reference region-based models, and use of numerical solvers for model fitting. Deep learning tools and methods for image denoising, reconstruction, segmentation and classification. Experience with computer science and data science, image processing and analysis.

Proficiency with programming languages such as C/C , Python, MATLAB, R, Linux scripting (e.g. bash). Strong verbal and written communication skills demonstrated by publication track record and experience with grant writing. Mentoring skills for undergraduate and graduate students, interns and visitors. Besides the requirements listed above, additional desired qualifications include: Experience with MR imaging and MR image reconstruction and analysis.

Experience with brain imaging and knowledge of biomarkers in Alzheimer's and other neurodegenerative diseases. Familiarity with optimization theory and applications to inverse problems. Rank is dependent on the successful candidate's qualifications.