Jobs at Xaira Therapeutics

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.

Perform and optimize Illumina NGS workflows (MiSeq/NextSeq/NovaSeq) and 10x Genomics library preps for single-cell, bulk RNA, CRISPR assays. Design sequencing strategies, partner with cross-functional teams, maintain instruments and data QC, implement automation and LIMS/ELN recordkeeping, and evaluate emerging sequencing methods.

Lead end-to-end phage display campaigns including library design, panning, and hit validation for soluble and membrane protein targets. Optimize selection strategies, troubleshoot antigen production/presentation, run affinity and functional assays (FACS, ELISA, SPR adaptations), scale data generation with computational partners, mentor junior staff, and document technical results.

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.

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.

Manage end-to-end payroll for US and UK employees, ensuring accurate, timely pay and compliance. Reconcile payroll registers, process hires/terminations, handle LOA calculations, tax filings, and year-end reporting. Administer expense reimbursements and corporate card programs, maintain payroll systems, support month-end close and audits, and drive process improvements and internal controls while partnering with HR and Accounting.

Manage cross-functional, high-priority research programs at the intersection of ML and biologics. Build and maintain timelines, define milestones and decisive experiments, coordinate stakeholders, track risks and resources, run meetings, and support decision-making and contingency planning to keep agentic AI and biologics R&D programs on schedule.

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 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.

Lead development and scaling of in vivo CRISPR screening in mouse models, innovate experimental workflows, partner with computational/AI teams to analyze large functional genomics datasets, ensure data quality and reproducibility, manage multiple projects, mentor junior staff, and drive cross-functional collaborations to advance therapeutic discovery.