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Protein Engineering Internship Jobs (NOW HIRING)

Protein engineering, synthetic biology, and biochemical tool development with emphasis on ... internships acceptable, strong hands-on Compensation, Benefits and Position Details Pay Range ...

Scientist, Research

Waltham, MA · On-site

$142K - $167K/yr

You will work closely with a talented protein design team to push the boundaries of engineered ... and interns. Requirements * PhD in biology, biochemistry, molecular biology, immunology, or a ...

You will work closely with a talented protein design team to push the boundaries of engineered ... and interns. Requirements * PhD in biology, biochemistry, molecular biology, immunology, or a ...

You will work closely with a talented protein design team to push the boundaries of engineered ... and interns. Requirements * PhD in biology, biochemistry, molecular biology, immunology, or a ...

Engineering Co-op

Duncan, SC · On-site

$15.50 - $20/hr

Sealed Air has a strong history of successful co-op and internship placements within the ... and protein products · Able to provide own transportation to the co-op location · Ability to ...

Engineering Co-op

Duncan, SC · On-site

$15.50 - $20/hr

Sealed Air has a strong history of successful co-op and internship placements within the ... and protein products • Able to provide own transportation to the co-op location • Ability to ...

Applications Food Scientist R&D Intern

Plymouth, MN · On-site

$15.75 - $21/hr

Protein Food R/D Team: In this position, summer interns will have the opportunity to work with our ... Our Programming: * With comprehensive learning resources at your disposal, you can take your ...

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Protein Engineering Internship information

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How much do protein engineering internship jobs pay per hour?

As of Jun 27, 2026, the average hourly pay for protein engineering internship in the United States is $19.31, according to ZipRecruiter salary data. Most workers in this role earn between $16.11 and $20.91 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive in the Protein Engineering Internship position, and why are they important?

To thrive as a Protein Engineering Intern, you should have a solid background in molecular biology, biochemistry, or related fields, often supported by ongoing degree coursework and laboratory experience. Familiarity with techniques such as PCR, site-directed mutagenesis, protein purification, and analysis tools like SDS-PAGE and spectrophotometry is highly valued. Strong analytical skills, attention to detail, teamwork, and effective communication are essential soft skills for success in this role. These capabilities ensure accurate experimental results, collaborative progress, and effective contributions to complex research projects.

What is a Protein Engineering Internship job?

A Protein Engineering Internship is a temporary position where interns work on designing, optimizing, and characterizing proteins for applications in fields like biotechnology, pharmaceuticals, and synthetic biology. Interns typically gain hands-on experience with molecular biology techniques, computational modeling, and laboratory experiments. They may assist in tasks such as mutagenesis, expression, purification, and functional analysis of proteins. This role provides valuable exposure to research and development in academic or industry settings.

What types of projects or responsibilities can I expect during a Protein Engineering Internship?

As a Protein Engineering Intern, you can expect to be involved in hands-on laboratory work, such as designing, expressing, and purifying mutant proteins, as well as analyzing their structure and function. You may participate in regular research meetings, collaborate closely with experienced scientists, and contribute to troubleshooting experiments or interpreting data. Interns are often given specific project components or independent tasks, allowing them to gain practical experience and develop problem-solving skills. This exposure helps interns build a strong foundation for future roles in biotechnology or graduate-level research.

More about Protein Engineering Internship jobs
What cities are hiring for Protein Engineering Internship jobs? Cities with the most Protein Engineering Internship job openings:
What are the most commonly searched types of Protein Engineering jobs? The most popular types of Protein Engineering jobs are:
What states have the most Protein Engineering Internship jobs? States with the most job openings for Protein Engineering Internship jobs include:
Infographic showing various Protein Engineering Internship job openings in the United States as of June 2026, with employment types broken down into 1% Internship, 92% Full Time, 4% Part Time, and 3% Contract. Highlights an 90% Physical, 1% Hybrid, and 9% Remote job distribution, with an average salary of $40,174 per year, or $19.3 per hour.
Graduate Intern - Deep Learning in Protein Design

Graduate Intern - Deep Learning in Protein Design

Manus Bio

Waltham, MA

Other

Posted 21 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.