Scientist, Antibody Discovery

About Xaira Therapeutics

Xaira is an innovative biotech startup focused on leveraging AI to transform drug discovery and development. The company is leading the development of generative AI models to design protein and antibody therapeutics, enabling the creation of medicines against historically hard-to-drug molecular targets. It is also developing foundation models for biology and disease to enable better target elucidation and patient stratification. Collectively, these technologies aim to continually enable the identification of novel therapies and to improve success in drug development. Xaira is headquartered in the San Francisco Bay Area, Seattle, and London.

About the Role

At Xaira, we're building antibody discovery engines that feed AI-driven design at scale. We're looking for an accomplished protein biochemist to own phage display campaigns end-to-end within our Display Technologies group — designing selection strategies, cracking difficult targets, and turning campaigns into the high-quality datasets that train our antibody design models.

This is a high-ownership role. You'll run your own campaigns, set technical direction, and have the autonomy to push what's possible in display-based discovery. You take pride in rigorous bench execution, think critically about experimental design, and want your data to matter beyond your own project.

Beyond your bench work, you'll help raise the group's level — mentoring associate scientists, setting technical standards, and partnering with computational and engineering colleagues to scale data generation.

Responsibilities

• Independently design, execute, and own phage display campaigns from library through panning and hit validation.
• Develop and optimize selection strategies for challenging targets, including QC and effective use of antigens across formats.
• Develop and apply library-scale approaches to measuring binder properties, and help adapt assays to higher-throughput, automated formats.
• Partner with computational and ML colleagues to generate, structure, and QC data at scale for model training.
• Mentor associate scientists and contribute to technical standards within the group.

Qualifications

• PhD in Molecular Biology, Biochemistry, Immunology, Protein Engineering, or related field, with 2–4 years of relevant industry experience.
• Significant hands-on expertise in antibody/protein discovery by phage display — library design, panning/selection, and hit validation.
• Hands-on flow cytometry (FACS) experience, including data interpretation and gating strategy.