Jobs at Xaira Therapeutics

Design, build, and optimize antibody screening platforms and assays (biochemical, molecular, cell-based). Engineer microbial and mammalian cell lines, troubleshoot workflows, document experiments, and collaborate with automation, engineering, and computational teams to scale robust, data-rich discovery systems.

This role involves designing and generating DNA assemblies for protein engineering, utilizing display technologies, mentoring junior staff, and contributing to scientific publications.

The Senior Research Associate Scientist will design and build complex DNA assemblies, optimize protein drug discovery, and lead collaborative efforts in protein engineering.

The role involves building and optimizing display technologies for AI antibody design, data generation for AI model training, and characterizing proteins, requiring strong collaboration and technical skills.

The Senior Director will lead the supply chain, procurement, and contract governance functions, ensuring reliable access to external partners, developing sourcing strategies, overseeing vendor management, and enhancing operational continuity across suppliers.

The Accounting Manager will oversee all accounting operations, manage a team of contractors, and enhance the accounting infrastructure while ensuring compliance and efficient financial reporting.

The Associate Scientist will focus on high-throughput protein expression, purification, and characterization campaigns, collaborating with teams to optimize workflows and ensure data quality for therapeutic development.

The Senior Director of Project Management leads complex cross-functional projects in biotech, ensuring clarity and alignment across teams. Responsibilities include defining project scope, managing risks, and integrating AI tools into project processes while developing a high-performing project management team.

The AI Research Engineer will design, build, and deploy AI systems for therapeutic discovery, collaborating with interdisciplinary teams and applying advanced AI techniques to improve model performance.

Lead the IT department, driving AI adoption and technology strategy. Ensure IT operations, security, and infrastructure support drug discovery. Build high-performing teams and partnerships across the organization.