Scientist, Computational Protein Design

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

Benefits offered by this job

Competitive salary

401(k) match

Comprehensive health care benefits

Job summary

Adimab, LLC is seeking a Scientist specialized in Computational Protein Design to join its team in Mountain View, California. The role focuses on taking ownership of protein design campaigns, collaborating cross-functionally with modeling and wet-bench scientists to leverage modern AI methods in drug discovery.

The ideal candidate holds a PhD in a relevant field and has 2–4 years of post-PhD experience. Competitive compensation packages include a base salary up to $165,760 and eligibility for bonuses.

Qualifications

• Strong foundation in analyzing structural and energetic factors of protein interactions.
• 2–4 years of post-PhD experience in computational protein design.
• Experience in crystallography or cryo-EM is a plus.

Responsibilities

• Take ownership of computational protein design campaigns.
• Design experiments for custom training data generation.
• Build and maintain computational infrastructure for design campaigns.

Skills

Computational protein design

Machine learning

Python programming

Structural biology analysis

Education

PhD in Biophysics, Biochemistry, or related field

Tools

RFAntibody

BindCraft

Protenix

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 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!

We offer individually tailored compensation packages comprised of a competitive salary, meaningful equity, a 2:1 401(k) match, and comprehensive health care benefits.