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Bioengineering Internships Jobs (NOW HIRING)

Mayo Clinic

Research Fellow - Neurology

Rochester, MN · On-site

... Interns sponsored by Mayo Clinic. Qualifications * Must have a Ph.D., M.D., or equivalent doctoral degree in neuroscience, cell biology, bioengineering, genetics, or related field. * Hands-on ...

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How much do bioengineering internships jobs pay per year?

As of May 29, 2026, the average yearly pay for bioengineering internships in the United States is $137,178.00, according to ZipRecruiter salary data. Most workers in this role earn between $108,500.00 and $153,500.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Bioengineering Intern, and why are they important?

To thrive as a Bioengineering Intern, you generally need a solid background in biology, engineering principles, and laboratory techniques, often supported by progress toward a relevant bachelor's or master's degree. Familiarity with technical tools such as MATLAB, CAD software, and laboratory instruments, as well as knowledge of data analysis methods, is typically expected. Strong problem-solving abilities, teamwork, and effective communication skills help interns contribute meaningfully to research and development projects. These competencies are vital for successfully supporting innovation, troubleshooting experiments, and collaborating in multidisciplinary bioengineering environments.

What types of projects do bioengineering interns typically work on, and how do these experiences contribute to professional development?

Bioengineering interns often participate in multidisciplinary projects such as designing medical devices, conducting laboratory experiments, or assisting with data analysis for ongoing research. These experiences provide hands-on exposure to industry-standard tools and techniques, allowing interns to apply theoretical knowledge in real-world settings. Collaborating with engineers, scientists, and clinicians helps interns develop teamwork and communication skills, which are essential for career growth. Additionally, interns frequently gain insight into regulatory processes and product development cycles, preparing them for future roles in the biomedical industry.

What are bioengineering internships?

Bioengineering internships are temporary positions that provide students or recent graduates with practical, hands-on experience in the field of bioengineering. These internships typically involve working under the supervision of professionals on projects related to biomedical devices, biotechnology, or healthcare solutions. Interns may assist with laboratory research, data analysis, prototype development, or regulatory documentation. The goal is to help interns apply their academic knowledge, develop technical and soft skills, and gain exposure to the bioengineering industry, often enhancing their future career prospects.

What jobs can I get with a BS in bioengineering?

A BS in bioengineering qualifies graduates for roles such as biomedical engineer, research associate, quality control analyst, or manufacturing technician. These positions often require knowledge of biology, engineering principles, and tools like CAD software or lab equipment, and may involve working in healthcare, research labs, or medical device companies.
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Bioengineering Internships jobs near you
Graduate Intern - Deep Learning in Protein Design

Graduate Intern - Deep Learning in Protein Design

Manus Bio

Waltham, MA

Other

Posted 22 days ago

Job description

Graduate Intern for Deep Learning in Protein Design Boston, Massachusetts, United States, Full-Time

Position Summary

Manus works across industries and value chains to accelerate the transition to BioAlternatives better performing and more sustainable versions of complex molecules traditionally sourced from plants, animals, or fossil fuels. Our platform is proven to work across scales, bridging the Valley of Death between lab and manufacturing more efficiently and more reliably to deliver the benefits of synthetic biology today.

We are seeking a Graduate Intern in Deep Learning for Protein Design to investigate key gaps in AI-guided protein engineering and explore novel approaches to address them. The ideal candidate has experience applying deep learning methods to biological problems, such as protein sequence design, structure prediction, or mutation effect modeling. This internship offers the opportunity to work at the intersection of machine learning and synthetic biology, contributing directly to scalable, real-world applications.

Why work at Manus:

  • Opportunity For motivated, results-oriented team members, our growth creates opportunities for personal and professional advancement.
  • Accountability You are given the resources you need to succeed and the freedom to make it happen; in return, we hold each other accountable for our high expectations.
  • Passion We love what we do and enjoy working with others who feel the same way. We embrace the challenge and hard work that comes with working on the cutting edge.

Key Responsibilities:

  • Evaluating state-of-the-art deep learning models for mutation effect prediction and identify their limitations (eg. Epistasis, protein dynamics, etc)
  • Drive exploratory research into potential avenues to fill gaps in DL-based approaches
  • Communicate results and insights to multidisciplinary teams, including presentations and written reports

Required Qualifications

  • Currently enrolled in a Masters or PhD program in Computer Science or BioEngineering or similar programs with emphasis on AI applications in Biological systems
  • Demonstrated experience with deep learning frameworks (e.g., TensorFlow, PyTorch) and libraries.
  • Proficiency in programming languages such as Python and familiarity with AI-assisted coding tools (eg., Claude Code, Codex)
  • Excellent verbal and written communication skills

Preferred Qualifications

  • Familiarity with protein engineering (eg. Directed evolution, ML/AI-led)
  • Familiarity with protein language models and similar transformer-based models
  • Familiarity with benchmarking techniques and public datasets for protein sequence to function relationship
  • Experience in industrial biotechnology or a related industry

Preferred Working Style

  • Must be very well-organized and be able to handle multiple projects simultaneously.
  • Must be a quick learner who is self-motivated and able to ask questions and seek clarity.
  • Must be flexible with day-to-day duties and able to thrive in a start-up environment.
  • Must be an excellent team member with strong communication skills and a desire to work collaboratively.
  • Must hold themselves to the highest professional, scientific and ethical standards.

Apply