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Protein Engineering Internship Jobs (NOW HIRING)

Uw

Research Scientist/Engr 1

Seattle, WA · On-site

$58K/yr

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

Sealed Air Corporation

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 ...

Sealed Air Corporation

Engineering Co-op

Duncan, SC

$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 ...

Arizona State University

Research Technician

Tempe, AZ · On-site

$21.20 - $22.62/hr

... Programmable Protein Array) protein microarrays and MISPA (Multiplexed In-Solution Protein Array ... internships, or other hands-on laboratory experience. * Experience with molecular biology, protein ...

Merck & Co.

... interns.Education Minimum Requirement:Bachelor of Science in Chemical Engineering, Biotechnology, Mechanical Engineering, Biochemistry, Protein Chemistry, or related field with at least 5 years of ...

MSD

Sr. Specialist, Engineering

Millsboro, DE

... interns. Education Minimum Requirement: Bachelor of Science in Chemical Engineering, Biotechnology, Mechanical Engineering, Biochemistry, Protein Chemistry, or related field with at least 5 years of ...

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How much do protein engineering internship jobs pay per hour?

As of Aug 7, 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?

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.

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Protein Engineering Internship jobs near you
Infographic showing various Protein Engineering Internship job openings in the United States as of August 2026, with employment types broken down into 90% Full Time, 5% Part Time, 4% Contract, and 1% Nights. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $40,174 per year, or $19.3 per hour.

Principal, Machine Learning Scientist

BigHat Biosciences

San Mateo, CA • On-site

$254K - $290K/yr

Full-time

Medical, Dental, Vision, Retirement

This job post has expired 1 day ago. Applications are no longer accepted.

Job description

The role: We are seeking a creative, accomplished Principal Machine Learning Scientist to advance the state of the art in ML-driven therapeutic antibody design.

At BigHat Biosciences our full-stack antibody drug development platform uses ML to drive every stage from discovery to optimization. Our roboticized high-throughput wet-lab continually adds to our large proprietary datasets, which are piped through a custom LIMS++ data management and orchestration layer to automatically update and deploy the latest models. This makes the development of complex, next-gen therapeutics 'trivially parallelizable', at a pace which only accelerates as we develop better ML tooling.

You're not interested in just git-cloning the latest NeurIPS pub and swapping out the dataset. Motivated by an enthusiasm for the possibility of addressing unmet patient needs and a curiosity about the underlying biology, you'll apply your world-class ML skillset to refine and expand this state-of-the-art protein engineering platform. Success will mean not only hands-on methods development, but helping shape the direction for future ML research, and actively participating in the application of our platform to the accelerated design of new therapeutics.
  • Design and implement the next state-of-the-art generative models of antibody sequence and structure, and predictive models of antibody properties, trained on proprietary internal datasets of thousands to millions of antibodies.
  • Provide leadership, technical guidance, and mentorship to other ML and data science FTEs and interns.
  • Help set strategy for future ML research, driven by a strong high-level understanding of BigHat programs and operations as well as real-world drug development challenges.
  • Develop, refine, and deploy de novo design methods for generating initial hits to challenging, therapeutically interesting targets.
  • Develop multi-modality, multi-objective iterative protein sequence optimization approaches to lab-in-the-loop antibody design problems for validation and deployment in our high-throughput wet lab - at BigHat success is only declared upon synthesis of real antibodies with drug-like properties.
  • Maintain an in-depth understanding of the current state-of-the-art in ML-driven protein engineering, both in the literature and at BigHat.
  • Share your findings at top-tier conferences and publish in leading scientific journals to advance the field of protein engineering.
  • Provide ML expertise and support for ongoing therapeutics programs, directly contributing to the development of new drugs.
  • Collaborate with our engineering team to ensure maximal efficiency in the automated and agentic deployment of our latest models to our therapeutics programs.
  • Work closely with an interdisciplinary team of drug developers, wet lab scientists, automation specialists, data scientists, etc. to identify inefficiencies or potential improvements in BigHat's platform, and plan and prioritize ML methods development accordingly.
  • PhD in ML/CS or in the hard sciences with 5+ years experience post-graduation in developing and applying novel ML methods, and a strong quantitative background.
  • Publications in major ML conferences and/or leading journals, and an extensive demonstrable track record developing and applying novel ML in industry.
  • Strong competency in Python, familiarity with PyTorch, and experience with modern software engineering best practices.
  • Excellent communication skills, sufficient biomedical domain knowledge to interact effectively with diverse scientific teams.
  • Enjoys a fast-paced environment and excels at executing across multiple projects.
  • Familiarity with the current state-of-the-art in ML-driven protein engineering
  • Nice-to-haves include experience with de novo design, NGS data, Bayesian optimization, familiarity with antibody biology and drug development, and experience training and deploying models on AWS.
The salary estimated for this position is $254,000 - $290,000 + bonus + options + benefits. Compensation will vary depending on job-related knowledge, skills, and experience. Actual compensation will be confirmed in writing at the time of the offer.
What BigHat Offers:
  • Range of health insurance plan options through Anthem and Kaiser (monthly credit if benefit waived)
  • Dental, and vision coverage through Guardian
  • Additional well-being benefits through Nayya, OneMedical, Wagmo, Rula, and more
  • 401(k) with company match 
  • DTO, two weeks of company-wide shutdown, and 12 company holidays
  • Paid parental leave

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