Scientist, Computational Protein Design

Adimab; Mountain View (CA); On-site; USD 156,800 - 165,760; Full time

Benefits offered by this job

Comprehensive health care benefits

2:1 401(k) match

Meaningful equity

Job summary

Adimab is seeking a Scientist in Computational Protein Design based in Mountain View, CA. You will lead computational protein design campaigns, partnering with both modeling and wet-bench scientists. The role involves utilizing advanced generative AI methods to drive the design-build-test cycle.

The ideal candidate should have a PhD and 2-4 years of post-PhD experience in computational design, with proficiency in relevant tools and strong Python skills.

Competitive salary with a generous benefits package is offered, ensuring a rewarding work experience.

Qualifications

• 2–4 years of post-PhD experience in computational protein or binder design.
• Strong foundation in protein-protein interactions analysis.
• Proven track record of publication or patent contribution in applied ML for proteins.

Responsibilities

• Take ownership of computational protein design campaigns.
• Partner with wet-lab teams to generate custom training data.
• Maintain computational infrastructure for protein design and model development.
• Track developments in computational protein design and evaluate relevance.
• Resource for wet-lab scientists on AI/ML capabilities.

Skills

Structural and energetic analysis of protein interactions

Proficiency with RFAntibody, BindCraft, Protenix

Strong Python skills

Experience with crystallography or cryo-EM

Education

PhD in Biophysics, Biochemistry, Structural Biology, Computational Biology

Tools

Generative design tools

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. A data-driven approach has 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 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.

Benefits

Competitive salary, meaningful equity, 2:1 401(k) match, comprehensive health care benefits, and other individualized benefits.