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Intern Computational Protein Design Jobs (NOW HIRING)

LLNL

Machine Learning (ML) Bioengineer

Livermore, CA · On-site

Participate in the development of future research directions and proposals to secure ongoing projects in computational protein design. * Balance multiple projects/tasks and priorities to ensure ...

LLNL

Machine Learning (ML) Bioengineer

Livermore, CA · On-site

Participate in the development of future research directions and proposals to secure ongoing projects in computational protein design. * Balance multiple projects/tasks and priorities to ensure ...

Arcadia Science

Protein Designer

Emeryville, CA · On-site

$130K - $180K/yr

Collaborate cross-functionally with computational and experimental scientists > * Contribute to the development and improvement of analyses, tools, and methodologies related to protein design and the ...

Arcadia Science

Protein Designer

Emeryville, CA · On-site

$130K - $180K/yr

Collaborate cross-functionally with computational and experimental scientists * Contribute to the development and improvement of analyses, tools, and methodologies related to protein design and the ...

Arcadia Science

Protein Designer

Emeryville, CA

$130K - $180K/yr

Collaborate cross-functionally with computational and experimental scientists * Contribute to the development and improvement of analyses, tools, and methodologies related to protein design and the ...

Outpace Bio

Clinical Scientist

Seattle, WA · On-site +1

Our multidisciplinary team of scientists, engineers, coders, and cell therapy developers works at the cutting edge of computational protein design, synthetic biology, and immunology. Together, we are ...

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How much do intern computational protein design jobs pay per hour?

As of May 31, 2026, the average hourly pay for intern computational protein design in the United States is $19.38, according to ZipRecruiter salary data. Most workers in this role earn between $14.42 and $21.63 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as an Intern in Computational Protein Design, and why are they important?

To thrive as an Intern in Computational Protein Design, you need a background in biochemistry, molecular biology, or a related field, with foundational knowledge in protein structure and function. Familiarity with computational tools such as Rosetta, PyMOL, and programming languages like Python or C++ is commonly required. Strong analytical skills, attention to detail, and effective communication are valuable soft skills for collaborating on research projects. These competencies are essential for accurately modeling proteins, interpreting results, and contributing to innovative scientific discoveries.

What types of projects and responsibilities can an Intern in Computational Protein Design expect to work on during their internship?

As an Intern in Computational Protein Design, you will typically assist with designing and modeling proteins using computational tools, analyzing protein structures, and interpreting simulation data under the supervision of senior scientists. You may contribute to ongoing research projects, help optimize protein sequences for specific functions, and prepare reports or presentations on your findings. Interns often collaborate closely with interdisciplinary teams, including biochemists, molecular biologists, and software engineers, gaining exposure to both experimental and computational approaches. This role provides valuable hands-on experience with industry-standard software and fosters a deeper understanding of the protein design process.

What does an Intern in Computational Protein Design do?

An Intern in Computational Protein Design assists research teams in designing and modeling proteins using computer-based methods. Their work often involves using specialized software to predict protein structures, analyze protein interactions, and simulate protein folding. Interns may also help interpret experimental data, write code for data analysis, and contribute to ongoing research projects. This role provides valuable hands-on experience in both computational biology and bioinformatics, helping interns develop skills that are in high demand in biotechnology and pharmaceutical industries.
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Intern Computational Protein Design jobs near you
Infographic showing various Intern Computational Protein Design job openings in the United States as of May 2026, with employment types broken down into 14% Internship, and 86% Full Time. Highlights an 100% In-person job distribution, with an average salary of $40,304 per year, or $19.4 per hour.

Senior AI Peptide and Protein Design Engineer

Ellison Medical Institute

Los Angeles, CA • On-site

Full-time

Posted 18 days ago

Job description

Job Summary:
Ellison Medical Institute is a medical research and development center focused on advancing health and cancer care through innovation and technology. They are seeking a Senior AI Peptide and Protein Design Engineer to lead the development of AI-driven peptide and protein engineering capabilities, collaborating with experts to influence the initiative from its inception.
Responsibilities:
• Develop, deploy, and continuously improve computational pipelines for de novo peptide and protein design, including property prediction using data-driven and modeling approaches. Define robust benchmarking, performance metrics, and validation strategies.
• Design and optimize novel peptide and protein therapeutics using sequence- and structure-based computational design methods, leveraging silico predictions to support lead identification and optimization.
• Work directly with the peptide and protein production and characterization teams to experimentally test designs, interpret results, and incorporate feedback into iterative design cycles.
• Collaborate with target biology and translational research teams to evaluate designs in biological context and support progression from concept to optimized lead candidates.
• Mentoring junior scientists or contributing to hiring and team growth.
• Maintain clear, reproducible documentation of methodologies, code, and results. Communicate findings effectively to scientific and leadership stakeholders.
• Contribute to a high-performing scientific culture that values rigor, innovation, transparency, collaboration, accountability, and efficient execution.
Qualifications:
Required:
• Ph.D. in Computational Peptide/Protein Design, Structural Biology, Protein Engineering, or a closely related field.
• Postdoctoral or industry experience applying computational modeling to peptide or protein engineering, and a strong publication record or proven track record contributing to therapeutic development.
• 5+ years of hands-on experience in peptide and protein design, modeling, and sequence/structure-function prediction, with proficiency in relevant macromolecular modeling software (i.e. AlphaFold, RoseTTAFold, RFdiffusion, RFpeptides, Boltz, ProteinMPNN).
• Demonstrated understanding of peptide and protein biology, including structure, folding, stability, and experimental constraints, gained through direct experimental work and/or close collaboration with wet-lab teams.
• Strong analytical and problem-solving skills applied to complex biological and computational challenges.
• Excellent teamwork, time management, documentation, and communication skills.
• Proven ability to work effectively in interdisciplinary, cross-functional research environments.
Company:
Formerly known as the Ellison Institute of Technology Los Angeles, the Ellison Medical Institute strives to spark innovation, leverage technology, and drive interdisciplinary, patient-centered research to continually enhance health, reimagine and redefine cancer care, and transform lives. Founded in 2016, the company is headquartered in Los Angeles, USA, with a team of 51-200 employees. The company is currently Growth Stage.

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