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Silico Protein Design Jobs (NOW HIRING)

SystImmune, Inc

Director, Protein Engineering

Redmond, WA · On-site

$180K - $240K/yr

SystImmune is seeking a Director of Protein Engineering to lead the FUSE team. This is a hands-on ... silico/AI-based design) is strongly preferred. * Excellent scientific judgment and the ability to ...

Systimmune

Director, Protein Engineering

Redmond, WA · On-site

$180K - $240K/yr

SystImmune is seeking a Director of Protein Engineering to lead the FUSE team. This is a hands-on ... silico/AI-based design) is strongly preferred. * Excellent scientific judgment and the ability to ...

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Silico Protein Design information

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$42K

$114.5K

$201.5K

How much do silico protein design jobs pay per year?

As of Jun 15, 2026, the average yearly pay for silico protein design in the United States is $114,491.00, according to ZipRecruiter salary data. Most workers in this role earn between $83,500.00 and $144,000.00 per year, depending on experience, location, and employer.

What are some common challenges faced by professionals in Silico Protein Design and how can they be addressed?

Professionals in Silico Protein Design often encounter challenges such as handling the complexity of protein structures, ensuring computational predictions translate effectively to laboratory results, and keeping up with the rapid evolution of bioinformatics tools. To address these, it's important to work closely with experimental teams, stay updated on the latest software and databases, and continuously refine computational models based on feedback from experimental validation. Collaboration and ongoing learning are key to overcoming these hurdles and advancing in this innovative field.

What is silico protein design?

Silico protein design refers to the use of computer algorithms and software to model, predict, and create new protein structures with desired functions. This process allows scientists to simulate how amino acid sequences will fold and behave, enabling the design of proteins for specific applications such as therapeutics, enzymes, or materials. By leveraging computational tools, researchers can save time and resources compared to traditional experimental methods, making the protein engineering process more efficient and innovative.

What is the difference between Silico Protein Design vs Protein Biochemist?

AspectSilico Protein DesignProtein Biochemist
Required CredentialsDegree in Bioinformatics, Computational Biology, or related fieldDegree in Biochemistry, Molecular Biology, or related field
Work EnvironmentPrimarily computational, using software and modeling toolsLaboratory-based, involving wet lab experiments
Industry UsageResearch and development in biotech, pharmaceuticals, academiaResearch, diagnostics, and product development in biotech and pharma

Silico Protein Design focuses on using computational methods to predict and engineer protein structures, while Protein Biochemists perform laboratory experiments to study protein functions. Both roles are essential in biotech and pharma industries but differ mainly in their approach—digital modeling versus wet lab work.

What are the key skills and qualifications needed to thrive as an In Silico Protein Designer, and why are they important?

To thrive as an In Silico Protein Designer, you need a solid background in molecular biology, computational modeling, and protein biochemistry, typically supported by a relevant advanced degree. Familiarity with bioinformatics tools, molecular modeling software (like Rosetta or PyMOL), and programming languages such as Python is crucial. Strong analytical thinking, attention to detail, and effective collaboration skills help you interpret complex data and work within multidisciplinary teams. These competencies enable the accurate design and optimization of proteins for research and therapeutic applications, ensuring innovation and scientific rigor.
Infographic showing various Silico Protein Design job openings in the United States as of June 2026, with employment types broken down into 100% Full Time. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $114,491 per year, or $55 per hour.

Principal Scientist, Antibody Engineering & Rational Design

Calico

South San Francisco, CA • On-site

$198K - $241K/yr

Full-time

Posted 27 days ago

Job description

Who We Are:
Calico (Calico Life Sciences LLC) is an Alphabet-founded research and development company whose mission is to harness advanced technologies and model systems to increase our understanding of the biology that controls human aging. Calico will use that knowledge to devise interventions that enable people to lead longer and healthier lives. Calico's highly innovative technology labs, its commitment to curiosity-driven discovery science, and, with academic and industry partners, its vibrant drug-development pipeline, together create an inspiring and exciting place to catalyze and enable medical breakthroughs.
Position Description:
We are seeking an innovative Principal Scientist to bridge the gap between traditional antibody discovery and cutting-edge computational design. In this role, you will serve as the primary scientific liaison between wet-lab antibody team and our machine learning engineers, driving the evolution of our "Design-Build-Test-Learn" cycle.
Acting as both a project leader and technical expert, you will translate complex in silico designs into actionable experimental workflows. You will be responsible for ensuring that computational predictions are rigorously validated and that the resulting biological data is structured to retrain and refine our internal models. We are looking for a deep expert in therapeutic antibody development who is eager to move beyond traditional random screening and champion a rational, data-driven approach to biologic drug discovery.
Position Requirements:
  • Ph.D. in molecular biology, biochemistry, computational modeling, structural biology, or related discipline
  • 8+ years' post-PhD experience in antibody/protein engineering within the biotech or biopharma industry
  • Demonstrated ability to work intimately with data scientists and ML engineers and able to articulate biological constraints (e.g., immunogenicity, manufacturability) to computational teams and interpret their in silico outputs for experimental validation
  • Hands-on proficiency with structural modeling and extensive knowledge in ML protein design tools
  • Experience designing experiments specifically to generate high-quality training data for ML models (e.g., focused libraries, systematic mutagenesis) is highly desirable
  • Extensive experience in rational design for humanization, affinity/specificity optimization, pH-dependence, and liability removal
  • Experience in engineering multi-specific antibodies
  • Strong understanding of biophysical characterization to ensure designed molecules are developable therapeutics
  • Experience technically managing CROs for in vivo and in vitro discovery of antibodies, gene synthesis, protein production, and screening assays
  • Ability to propose novel scientific approaches and solve complex technical hurdles independently
  • Must be willing to work onsite 5 days a week

The estimated base salary range for this role is $198,000 - $241,000. Actual pay will be based on a number of factors including experience and qualifications. This position is also eligible for two annual cash bonuses.

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