Senior Scientist – Protein Design

Senior Scientist – Protein Design

Job Description

Here at AstraZeneca you’ll have the opportunity to make a difference in people’s lives every day. As one of the world’s premier biotechnology companies, our mission is centered on delivering life-changing products that advance world health and help fight and cure disease. As a Senior Scientist in the Early Infectious Disease Unit (Early ID) in Seattle, WA, you’ll play a pivotal role in channeling our scientific capabilities to make a positive impact on changing patients’ lives.

The Early ID team at AstraZeneca is discovering and developing novel vaccines and biologics targeting key viral pathogens. We are consistently pushing the boundaries of science to deliver life-changing medicines to patients. Our deep expertise in virology, bacteriology, immunology, and vaccines enables our ability to advance novel therapeutic approaches and technologies to prevent and treat infectious disease. We have an industry-leading pipeline and offer a unique and strong collaborative network as part of the AstraZeneca family.

We are seeking a highly motivated scientist with broad expertise in machine learning and computational protein design, along with a demonstrated track record of scientific achievement, to join AstraZeneca Seattle team. As a key member of a growing, dynamic group, the qualified Senior Scientist will apply computational protein design throughout the drug discovery process to advance next-generation vaccines and therapeutics. The ideal candidate will be energized by driving projects forward, producing innovative proteins designed for impact, and collaborating across disciplines. AstraZeneca offers a dynamic, collaborative environment where exceptional scientist can grow and make a measurable impact on patients’ lives.

Major responsibilities:

• Perform a range of computational experiments to design and generate novel protein antigens, immunogens, binders, and antibodies that elicit prophylactic immunity or provide therapeutic benefit against clinically relevant pathogens

• Develop, validate, and maintain novel computational pipelines based on various protein structure software (e.g., agentic, deep learning, generative models, structure prediction, docking, and molecular simulation) for protein antigen, binder and antibody design

• Contribute to new concepts and methodologies in antigen design, protein nanoparticle scaffolding, multivalent display, epitope focusing, and other emerging vaccine technology modalities

• Leverage structural biology (e.g., structure prediction, experimental-derived models), large-scale sequence datasets, and literature to guide design hypotheses and perform in silico experiments

• Work collaboratively with colleagues across the organization to translate computational designs into testable constructs and drive projects to successful completion

• Make detailed observations, perform quantitative analyses, interpret results independently, and propose next-step experiments or model refinements based on in silico and in vitro readouts

• Scout, evaluate, and integrate new algorithms, tools, and frameworks (e.g., protein language models, diffusion models, active learning) to improve design success rates and reduce cycle time

• Preparation of precise technical summaries, protocols, quantitative analyses, and maintenance of appropriate documentation

• Contribute to intellectual property by drafting invention disclosures and working with legal teams on patents related to computational design methods and novel constructs

• Optimize use of compute resources

• Oversee the day-to-day organization of different project-related components

• Publishing of discoveries in high quality, peer-reviewed journals

Requirements / Qualifications:

• B.S. in Computational Biology, Bioengineering, Computer Science, Biophysics, Structural Biology or related scientific discipline with 4+ years of experience or

• M.S. in Computational Biology, Bioengineering, Computer Science, Biophysics, Structural Biology or related scientific discipline with 2+ years of experience or

• Ph.D. in Computational Biology, Bioengineering, Computer Science, Biophysics, Structural Biology, or related scientific discipline

Specific skills:

Broad experience required in machine learning, structural biology, and/or biochemistry techniques:

• Up-to-date hands-on experience with state-of-the art computational protein design methods

• Proficiency with deep learning models and agentic workflows for proteins (e.g., protein language models, diffusion/generative models, supervised learning for property prediction)

• Hands-on experience with structure prediction and design (e.g., AlphaFold/ColabFold, Rosetta, ProteinMPNN, RFdiffusion), docking, and enhanced sampling

• Extensive hands-on experience with the design, engineering, production, and characterization of protein antigens and/or other complex proteins

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