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Protein Design Jobs in Redmond, WA (NOW HIRING)

Arzeda

Scientist, Protein Testing

Seattle, WA · On-site

$90K - $130K/yr

Design, develop, and mature enzymatic assays end to end, from ideation and proof-of-concept through reliable, repeatable, higher-throughput use. * Improve assay sensitivity, specificity ...

Arzeda

Scientist, Protein Testing

Seattle, WA · On-site

$90 - $130/hr

Design, develop, and mature enzymatic assays end to end, from ideation and proof-of-concept through reliable, repeatable, higher-throughput use. * Improve assay sensitivity, specificity ...

Systimmune

Director, Protein Engineering

Redmond, WA · On-site

$180K - $240K/yr

Use NGS, flow cytometry, and computational tools to inform iterative protein design and lead ... selection. Stay current on the protein engineering, display technology, and lab automation ...

SystImmune, Inc

Director, Protein Engineering

Redmond, WA · On-site

$180K - $240K/yr

Use NGS, flow cytometry, and computational tools to inform iterative protein design and lead ... selection. Stay current on the protein engineering, display technology, and lab automation ...

Uw

Research Scientist/Engineer 3

Seattle, WA · On-site

The Institute for Protein Design (IPD) at the University of Washington is a world-leading research center focused on creating new proteins that solve challenges in medicine, technology, and ...

Uw

Director of Philanthropy

Seattle, WA

Develop and implement a strategic major gifts plan in partnership with the Senior Director for Philanthropy for the UW Medicine's Institute for Protein Design, as well as other emerging priorities as ...

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All JobsProtein Design JobsProtein Design Jobs in Redmond, WA

Protein Design information

See Redmond, WA salary details

$47K

$128.2K

$225.7K

How much do protein design jobs pay per year?

As of Sep 2, 2026, the average yearly pay for protein design in Redmond, WA is $128,224.00, according to ZipRecruiter salary data. Most workers in this role earn between $93,500.00 and $161,300.00 per year, depending on experience, location, and employer.

What is protein design?

Protein design is the process of creating new proteins or modifying existing ones to have specific functions or properties. This can involve using computational tools, laboratory techniques, or a combination of both to predict and engineer amino acid sequences that will fold into desired three-dimensional structures. Protein design is used in various fields, including medicine, biotechnology, and research, to develop novel enzymes, therapeutics, or materials. The field requires a strong understanding of biology, chemistry, and computer science to achieve successful outcomes.

What are the key skills and qualifications needed to thrive as a protein design scientist, and why are they important?

To thrive as a Protein Design Scientist, you need a strong background in molecular biology, biochemistry, and computational modeling, typically supported by an advanced degree in a relevant field. Proficiency with tools such as Rosetta, PyMOL, and molecular dynamics simulation software, as well as experience with protein expression and purification techniques, is essential. Analytical thinking, problem-solving, and effective communication are important soft skills to drive innovation and collaborate with interdisciplinary teams. These skills are crucial for designing functional proteins, troubleshooting experiments, and advancing research goals in biotechnology and pharmaceutical development.

What are some typical challenges faced by professionals in protein design, and how are they addressed within a team setting?

Professionals in protein design often encounter challenges such as predicting accurate protein folding, ensuring stability, and achieving desired biological activity. These complexities are typically addressed through close collaboration with computational biologists, structural biologists, and experimental scientists. Teams frequently hold cross-functional meetings to troubleshoot issues, share findings, and iterate on design strategies based on laboratory results. This collaborative environment helps leverage diverse expertise and accelerates the development of novel proteins with desired functions.

What is the difference between Protein Design vs Protein Engineering?

AspectProtein DesignProtein Engineering
Required CredentialsBiochemistry, Molecular Biology, BioinformaticsBiochemistry, Molecular Biology, Bioinformatics
Work EnvironmentResearch labs, biotech companies, academiaResearch labs, biotech companies, academia
Industry UsageDesigning novel proteins, drug development, synthetic biologyModifying existing proteins for improved function or stability

Protein Design focuses on creating new proteins with specific functions, often using computational methods. Protein Engineering involves modifying existing proteins to enhance or alter their properties. Both roles require similar skills and are used in research, biotech, and pharmaceutical industries, but their goals differ: one designs from scratch, the other optimizes existing proteins.

What are popular job titles related to Protein Design jobs in Redmond, WA?

For Protein Design jobs in Redmond, WA, the most frequently searched job titles are:

What job categories do people searching Protein Design jobs in Redmond, WA look for?

The top searched job categories for Protein Design jobs in Redmond, WA are:

What cities near Redmond, WA are hiring for Protein Design jobs?

Cities near Redmond, WA with the most Protein Design job openings:

Protein Design jobs near you
Infographic showing various Protein Design job openings in Redmond, WA as of June 2026, with employment types broken down into 87% Full Time, 10% Part Time, and 3% Contract. Highlights an 92% Physical, 1% Hybrid, and 7% Remote job distribution, with an average salary of $128,224 per year, or $61.6 per hour.

AI Scientist Intern, Computational Protein Design

Xaira Therapeutics

Seattle, WA

$10K - $15K/mo

Internship

Posted 5 days ago

Job description

About the Role

As an AI Scientist Intern on our Computational Protein Design team, you will work alongside talented scientists and engineers developing generative AI models for protein and antibody therapeutic design. During your internship, you will contribute to advancing state-of-the-art machine learning models for biology, with a focus on impacting protein/antibody design and drug discovery. You will also have the opportunity to collaborate with interdisciplinary experts in biology, drug discovery, and clinical research.

Responsibilities

  • Develop and apply deep learning methods for protein/antibody structure, sequence, or property modeling, under the guidance and mentorship of experienced scientists and engineers
  • Implement and train models on GPUs using PyTorch
  • Contribute to ongoing research projects involving protein structure, sequence, or biophysical/affinity datasets
  • Participate in discussions to help generate innovative ideas for advancing AI methodologies in computational protein design
  • Document findings and communicate progress effectively to peers and mentors

Qualifications

  • Currently pursuing a MS or PhD in Computer Science, Machine Learning, or a related technical field, with strong publication record
  • Hands-on experience with PyTorch and training/inference of AI models on GPUs
  • Strong interest in AI innovation and its applications to interdisciplinary fields such as biology and chemistry
  • Extensive hands-on experience with deep learning methods and frameworks
  • Ability to work collaboratively in a team environment and learn from experienced mentors
  • A scientifically curious mindset with a passion for exploring new challenges
  • Experience with large-scale distributed training and inference is a plus
  • Exposure to molecular structure or biological sequence data or computational biology/bioinformatics is a plus, but not required
  • Prior research experience demonstrated through publications and/or significant open source code authorship
  • Interest in contributing to open-source deep learning libraries and frameworks is a plus

Internship Duration
3 months
The expected monthly compensation range is $10,000-$15,000, depending on experience and qualifications. We are open to higher compensation for candidates with exceptional experience or impact. This internship is designed to provide a unique learning experience, offering hands-on exposure to the intersection of AI and computational protein design while allowing you to contribute meaningfully to real-world projects.

Apply