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Intern Computational Protein Design Jobs (NOW HIRING)

Profluent

Research Intern, Computational

Emeryville, CA · On-site +1

$1.6K/wk

Profluent is an AI-first protein design company. Founded in 2022, we develop deep generative models ... We are seeking a passionate Computational Research Intern to join moonshot projects at the ...

Amgen

Protein Design Product Owner What you will do Let'sdo this.Let'schange the world.Within Amgen ... Collaborate with computational and experimental scientists toestablishtheseprocessesasafoundation ...

Amgen

Protein Design Product Owner What you will do Let'sdo this.Let'schange the world.Within Amgen ... Collaborate with computational and experimental scientists toestablishtheseprocessesasafoundation ...

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Intern Computational Protein Design information

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

As of Jun 26, 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 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.

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.
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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 June 2026, with employment types broken down into 44% Full Time, 52% Part Time, and 4% Temporary. Highlights an 90% Physical, 1% Hybrid, and 9% Remote job distribution, with an average salary of $40,304 per year, or $19.4 per hour.

Research Intern, Computational

Profluent

Emeryville, CA • On-site, Remote

$1.6K/wk

Full-time, Internship

Posted 9 days ago

Job description

Profluent is an AI-first protein design company. Founded in 2022, we develop deep generative models to design and validate novel, functional proteins to revolutionize biomedicine. Based in Emeryville, CA, we are backed by leading investors including Altimeter Capital, Bezos Expeditions, Spark Capital, Insight Partners, Air Street Capital, AIX Ventures, and Convergent Ventures, and have raised over $150M to date.
Our generative models learn the blueprint of life by modeling large-scale evolutionary data, enabling us to engineer and write biology in unprecedented ways. We are seeking a passionate Computational Research Intern to join moonshot projects at the intersection of bioinformatics and machine learning.
This is a rare opportunity to tackle open-ended scientific and engineering challenges with direct potential for high-impact publications and real-world applications in synthetic biology and protein engineering.
Responsibilities
  • Design and implement computational approaches to advance cutting-edge research in bioinformatics and machine learning
  • Analyze large-scale genomic and protein datasets to uncover new biological insights and capabilities
  • Collaborate closely with scientists and engineers across machine learning, protein engineering, and biology teams
  • Document and present research findings internally, with the potential to publish in leading journals and conferences

Qualifications
  • Enrolled in a BS, MS, or PhD program in Bioinformatics, Computational Biology, Computer Science, Statistics, or a related quantitative field
  • Strong programming skills in Python and familiarity with scientific computing libraries (e.g., NumPy, pandas, Jupyter)
  • Experience in one or more of the following: machine learning, large-scale data analysis, genomics, or protein bioinformatics
  • Excellent problem-solving skills, scientific curiosity, and ability to work both independently and collaboratively

Internship Details
  • Typical duration: 12 weeks, with flexible start dates
  • Hybrid: 2 - 3 days on-site per week in our Emeryville, CA headquarters
  • Salary: $1,667 per week
  • Opportunity to publish your work and make a lasting impact in computational biology and AI-driven protein design

What We Offer
  • Work on moonshot projects at the frontier of AI and biology
  • Mentorship from leading experts in bioinformatics, machine learning, and synthetic biology
  • A dynamic, mission-driven environment with the resources of a fast-growing, well-funded startup
  • Competitive internship compensation and benefits

Apply