The Scientist, Computational Protein Design will lead protein design campaigns, collaborating with ... structure prediction and generative design tools such as RFAntibody, BindCraft, and Protenix. • ...
The Scientist, Computational Protein Design will lead protein design campaigns, collaborating with ... structure prediction and generative design tools such as RFAntibody, BindCraft, and Protenix. • ...
Postdoctoral Fellow, Structural Biology
Buffalo, NY · On-site
$70K - $85K/yr
This project sits at the intersection of X-ray scattering and deep learning, aimed at integrating experimental data to predict protein ensemble structures. As an Empire AI-funded fellow, you will ...
Postdoctoral Fellow, Structural Biology
Buffalo, NY · On-site
$70K - $85K/yr
This project sits at the intersection of X-ray scattering and deep learning, aimed at integrating experimental data to predict protein ensemble structures. As an Empire AI-funded fellow, you will ...
Deep knowledge of GPCR biology and membrane protein structure-function relationships. * Proven ... Background in computational protein design tools (e.g., Rosetta, AI/ML-driven prediction). Benefits:
Deep knowledge of GPCR biology and membrane protein structure-function relationships. * Proven ... Background in computational protein design tools (e.g., Rosetta, AI/ML-driven prediction). Benefits:
Scientist, Computational Protein Design
Mountain View, CA · On-site
$156K - $165K/yr
Role: Scientist, Computational Protein Design Adimab is the leading technology provider for ... Proficiency with structure prediction and generative design tools such as RFAntibody, BindCraft ...
Scientist, Computational Protein Design
Mountain View, CA · On-site
$156K - $165K/yr
Role: Scientist, Computational Protein Design Adimab is the leading technology provider for ... Proficiency with structure prediction and generative design tools such as RFAntibody, BindCraft ...
We are seeking a Scientist I or II to work on structure prediction and co-folding. The team's current emphasis is protein-protein and complex prediction in support of antibody and biologics design ...
We are seeking a Scientist I or II to work on structure prediction and co-folding. The team's current emphasis is protein-protein and complex prediction in support of antibody and biologics design ...
ML models (protein design, structure prediction, docking) * GPU-based compute infrastructure * APIs, workflows, and orchestration layers * Scientific datasets and research pipelines
ML models (protein design, structure prediction, docking) * GPU-based compute infrastructure * APIs, workflows, and orchestration layers * Scientific datasets and research pipelines
MS/PhD degree in Bioinformatics, Computational Biology, or a related field with a focus on protein ... structure prediction, and metabolic pathway analysis (e.g., BLAST, HMMER, Pfam, PDB, KEGG)
MS/PhD degree in Bioinformatics, Computational Biology, or a related field with a focus on protein ... structure prediction, and metabolic pathway analysis (e.g., BLAST, HMMER, Pfam, PDB, KEGG)
Sr. Research Investigator, Structural Biology at Incyte Corporation Wilmington, NC
Wilmington, NC · On-site
$83K - $106K/yr
Knowledge of protein structure prediction and computational approaches for protein design is desirable. * Stay current on emerging technologies and instrumentation in protein chemistry, biochemistry ...
Sr. Research Investigator, Structural Biology at Incyte Corporation Wilmington, NC
Wilmington, NC · On-site
$83K - $106K/yr
Knowledge of protein structure prediction and computational approaches for protein design is desirable. * Stay current on emerging technologies and instrumentation in protein chemistry, biochemistry ...
ML Engineer, LS AI
San Francisco, CA · On-site
Drive research on structure prediction and co-folding models for protein complexes, protein-protein interactions, and related biomolecular systems * Design, train, and evaluate models that advance ...
ML Engineer, LS AI
San Francisco, CA · On-site
Drive research on structure prediction and co-folding models for protein complexes, protein-protein interactions, and related biomolecular systems * Design, train, and evaluate models that advance ...
ML Scientist, Foundation Models for Life Sciences
San Francisco, CA · On-site
$176K - $304K/yr
We are seeking a Scientist I or II to work on structure prediction and co-folding. The team's current emphasis is protein-protein and complex prediction in support of antibody and biologics design ...
ML Scientist, Foundation Models for Life Sciences
San Francisco, CA · On-site
$176K - $304K/yr
We are seeking a Scientist I or II to work on structure prediction and co-folding. The team's current emphasis is protein-protein and complex prediction in support of antibody and biologics design ...
Computational and Experimental Scientist
San Francisco, CA · On-site
$3.0K - $5.0K/mo
What We're Looking For * 2+ years building or operating discrete diffusion models, protein language models (such as ESM or ProtT5), or structure prediction systems in an active make-test-model loop.
New
Quick apply
Computational and Experimental Scientist
San Francisco, CA · On-site
$3.0K - $5.0K/mo
What We're Looking For * 2+ years building or operating discrete diffusion models, protein language models (such as ESM or ProtT5), or structure prediction systems in an active make-test-model loop.
New
Computational and Experimental Scientist
San Francisco, CA · On-site
$3.0K - $5.0K/mo
What We're Looking For * 2+ years building or operating discrete diffusion models, protein language models (such as ESM or ProtT5), or structure prediction systems in an active make-test-model loop.
New
Computational and Experimental Scientist
San Francisco, CA · On-site
$3.0K - $5.0K/mo
What We're Looking For * 2+ years building or operating discrete diffusion models, protein language models (such as ESM or ProtT5), or structure prediction systems in an active make-test-model loop.
New
Senior AI Protein Engineer
Los Angeles, CA · On-site
$112K - $154K/yr
Leverage sequence- and structure-based modeling to predict stability, folding, and binding ... Required Qualifications: - Ph.D. in Computational Protein Design, Structural Biology ...
Senior AI Protein Engineer
Los Angeles, CA · On-site
$112K - $154K/yr
Leverage sequence- and structure-based modeling to predict stability, folding, and binding ... Required Qualifications: - Ph.D. in Computational Protein Design, Structural Biology ...
Research Engineer
San Francisco, CA · On-site
Chai's models are moving beyond protein structure prediction into real-world therapeutic engineering. This is a chance to push the frontier of AI drug design, working alongside a craft-obsessed team ...
Research Engineer
San Francisco, CA · On-site
Chai's models are moving beyond protein structure prediction into real-world therapeutic engineering. This is a chance to push the frontier of AI drug design, working alongside a craft-obsessed team ...
Handson experience using and interrogating modern AI/ML models for protein representation, structure prediction, or generation (e.g., transformer or diffusion-based approaches). * Strong ...
Handson experience using and interrogating modern AI/ML models for protein representation, structure prediction, or generation (e.g., transformer or diffusion-based approaches). * Strong ...
Develop and iterate deep learning models across the molecular modeling stack (structure prediction, protein-ligand co-folding, affinity, and/or generative design). * Build benchmarking/evaluation ...
Develop and iterate deep learning models across the molecular modeling stack (structure prediction, protein-ligand co-folding, affinity, and/or generative design). * Build benchmarking/evaluation ...
Experience supporting structure prediction or co-folding workloads, including AlphaFold-derived methods (e.g., Boltz, Protenix), diffusion models, or protein language models * Experience with agentic ...
Experience supporting structure prediction or co-folding workloads, including AlphaFold-derived methods (e.g., Boltz, Protenix), diffusion models, or protein language models * Experience with agentic ...
Senior Scientist, Computational Biotherapeutics Engineering
Cambridge, MA · On-site
$93K - $156K/yr
Hands-on experience using and interrogating modern AI/ML models for protein representation, structure prediction, or generation (e.g., transformer or diffusion-based approaches). * Strong ...
Senior Scientist, Computational Biotherapeutics Engineering
Cambridge, MA · On-site
$93K - $156K/yr
Hands-on experience using and interrogating modern AI/ML models for protein representation, structure prediction, or generation (e.g., transformer or diffusion-based approaches). * Strong ...
ML Engineer, LS AI
San Francisco, CA · On-site
Drive research on structure prediction and co-folding models for protein complexes, protein-protein interactions, and related biomolecular systems * Design, train, and evaluate models that advance ...
ML Engineer, LS AI
San Francisco, CA · On-site
Drive research on structure prediction and co-folding models for protein complexes, protein-protein interactions, and related biomolecular systems * Design, train, and evaluate models that advance ...
Role: Scientist, Computational Protein Design Adimab is the leading technology provider for ... Proficiency with structure prediction and generative design tools such as RFAntibody, BindCraft ...
Quick apply
Role: Scientist, Computational Protein Design Adimab is the leading technology provider for ... Proficiency with structure prediction and generative design tools such as RFAntibody, BindCraft ...
Protein Structure Prediction information
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$17.31 - $20.41
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$22.45 is the 25th percentile. Wages below this are outliers.
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The median wage is $31.66 / hr.
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11% of jobs
$40.10 is the 75th percentile. Wages above this are outliers.
$39.03 - $42.13
14% of jobs
$42.13 - $45.24
9% of jobs
$45.24 - $48.34
5% of jobs
$48.34 - $51.44
2% of jobs
$17
$33
$51
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Scientist, Computational Protein Design
Mountain View, CA • On-site
Full-time
Re-posted 4 days ago
Job description
Adimab is the leading technology provider for therapeutic antibody drug discovery, focusing solely on partnerships without pursuing an internal product pipeline. The Scientist, Computational Protein Design will lead protein design campaigns, collaborating with wet-lab teams and utilizing modern AI methods to enhance 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.
Qualifications:
Required:
• 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.
• 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.
Preferred:
• Crystallography or cryo-EM experience is a plus.
Company:
Adimab is an antibody discovery and optimization platform, developing full-length human Immunoglobulin Gs. Founded in 2007, the company is headquartered in Lebanon, USA, with a team of 51-200 employees. The company is currently Growth Stage.
About Adimab
Sourced by ZipRecruiter
Industry
Biotechnology research and development
Company size
51 - 200 Employees
Headquarters location
Lebanon, NH, US
Year founded
2007