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Intern Computational Protein Design Jobs in California

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Computational Protein Designer

San Francisco, CA · On-site

$24.25 - $29.50/hr

Computational Protein Designer The opportunity We are seeking a Computational Protein Design Scientist to join our team working at the interface of generative AI and synthetic biology. Working ...

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Intern Computational Protein Design information

What are the key skills and qualifications needed to thrive as an intern in computational protein design?

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.

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Intern Computational Protein Design jobs near you
Infographic showing various Intern Computational Protein Design job openings in California as of August 2026, with employment types broken down into 6% Internship, 63% Full Time, 9% Part Time, 8% Temporary, and 14% Contract. Highlights an 88% In-person, 6% Hybrid, and 6% Remote job distribution.

Scientist, Computational Protein Design

Adimab

Mountain View, CA • On-site

Full-time

Medical, Retirement

Re-posted 12 days ago

Job description

Role: Scientist, Computational Protein Design

Adimab is the leading technology provider for therapeutic antibody drug discovery, focusing solely on our partnerships without pursuing an internal product pipeline. Since 2009, we have partnered with over 140 pharmaceutical and biotechnology companies, generating more than 650 therapeutic programs, of which more than 85 have entered clinical trials.  

Role Overview 
The role is on Adimab's computational biology team in Mountain View, CA. Data-driven approaches have been central to the development of the Adimab platform, and the team is actively utilizing and developing modern de novo protein design and generative AI methods to extend its capabilities. You will serve as the computational lead for protein design campaigns, embedded within a world-class team of modeling and wet-bench scientists, with direct access to Adimab's industry-leading experimental capabilities to drive the design-build-test cycle.  

Responsibilities 

  • Take end-to-end ownership of computational protein design campaigns — from design generation through wet-lab collaboration, analysis of experimental data, and optimization of the design-build-test cycle. Applications span de novo epitope-targeted IgG, VHH, and minibinder design, as well as protein solubilization and stabilization. 
  • Partner with wet-lab teams to design experiments that generate custom training data for affinity, epitope, and specificity prediction models. Train and rigorously benchmark resulting models against internal and external baselines. 
  • Build and maintain the computational infrastructure supporting both protein design campaigns and model development, including reproducible pipelines and integration of computational outputs with wet-lab data. 
  • Track developments in computational protein design and ML; evaluate relevance to Adimab's platform and identify opportunities for integration. 
  • Serve as a resource for wet-lab scientists on AI/ML capabilities and best practices, helping antibody and protein engineering teams apply computational design methods. 

Needed Upon Hire 

  • PhD in Biophysics, Biochemistry, Structural Biology, Computational Biology, or a related field. 
  • 2–4 years of post-PhD experience specifically in computational protein or binder design. 
  • Strong foundation in the analysis of structural and energetic factors driving protein-protein interactions. 
  • Proficiency with structure prediction and generative design tools such as RFAntibody, BindCraft, and Protenix. Crystallography or cryo-EM experience is a plus. 
  • Strong Python skills and experience building reproducible analysis and modeling pipelines. 
  • Proven track record of publication or patent contribution in applied ML for proteins or computational design. 
Pay Range: $156,800 - $165,760 base salary and eligibility for 15% bonus

Come join us! 

Our integrated antibody discovery and engineering platform provides unprecedented speed from antigen to purified, full-length human IgGs with exquisite specificity and biophysical behavior. We offer fundamental advantages by delivering diverse panels of antibodies that meet the most demanding standards for affinity, epitope specificity, species cross-reactivity, and developability. We enable our partners to rapidly expand their biologics pipelines through a broad spectrum of technology access arrangements.

As a profitable privately-held biotech company, we take a long-term view on value creation and make substantial investments in technology development, research, and our people. We offer individually tailored compensation packages comprised of a competitive salary, meaningful equity, a 2:1 401(k) match, and comprehensive health care benefits.

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