Jobs at Xaira Therapeutics

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.

Build and operate ML infrastructure for large-scale biological foundation models: dispatch distributed training across multi-cloud GPU clusters, deploy high-throughput storage, implement evaluation and experiment-tracking tooling, and integrate training with telemetry and checkpointing systems.

Build backend systems, APIs, SDKs/CLIs, and workflow orchestration that connect generative AI models to biological tools and datasets. Develop tool-calling infrastructure and agentic interfaces, ensure observability and robust testing for long-running scientific workflows, and collaborate with scientists and platform teams to turn research workflows into production software.

Design, program, deploy, and support automated lab workflows on liquid handlers and integrated workcells. Build instrument connectivity, LIMS/ELN integrations, metadata capture, and data pipelines. Troubleshoot automation, improve observability and AI-readiness, document protocols, and mentor junior engineers.

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.

The Contracts Manager will draft, negotiate, and manage various research and development contracts, ensuring compliance, risk assessment, and stakeholder coordination.

Develop and advance state-of-the-art deep learning methods for protein and antibody design. Lead projects on generative and foundation models, implement large-scale distributed training and GPU-based inference, collaborate with biology and drug discovery experts, publish and communicate research, and contribute to open-source efforts.

Lead and define the protein sciences strategy, oversee protein production and characterization (E. coli, cell-free, mammalian), implement automation and high-throughput workflows, direct purification and analytical characterization (HPLC, MS, BLI/SPR, SEC, CE-SDS), translate assays for CMC/clinical development, mentor staff, maintain regulatory-quality documentation, and collaborate cross-functionally with AI, research, process development, and clinical teams.

Lead analytical development for biologics from preclinical through clinical stages: develop, validate, transfer methods; manage stability, external labs, CMC strategy, regulatory submissions, and cross-functional technical oversight.

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 and build the bioanalytical strategy for biologics across discovery, preclinical, and clinical stages. Oversee development, qualification, and validation of ligand-binding and flow cytometry assays for PK/PD and receptor occupancy, manage CRO partnerships, design and interpret DMPK/PKPD studies, author regulatory bioanalytical sections, ensure GLP and ICH M10 compliance, and hire and mentor a focused internal team.

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.