Xaira Therapeutics

HQ
South San Francisco
Total Offices: 2
112 Total Employees
Year Founded: 2023

Jobs at Xaira Therapeutics

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2 Days AgoSaved
In-Office
South San Francisco, CA, USA
Healthtech • Biotech
Build and maintain robotics software for robotic arms, mobile robots, sensors, grippers, and laboratory instruments. Develop motion planning, perception, safety logic, task execution, simulation, and recovery workflows for automated biology labs. Integrate hardware and instruments, debug physical systems, support material handling and sample tracking, and collaborate with scientists and engineers to automate laboratory processes. Evaluate AI, computer vision, and autonomy techniques for reliable robotic execution.
2 Days AgoSaved
In-Office
South San Francisco, CA, USA
Healthtech • Biotech
Build and validate robotics simulation and digital-twin systems for laboratory automation. Develop Real2Sim and Sim2Real workflows, integrate perception, motion planning, AI models, sensors, and robot control systems, and create synthetic-data, telemetry, and evaluation tools. Benchmark performance, debug physical and simulated systems, support new equipment installations, and collaborate with robotics, software, AI, automation, and scientific teams.
One Month AgoSaved
In-Office
South San Francisco, CA, USA
Healthtech • Biotech
Own end-to-end procurement operations, including procure-to-pay, sourcing, contract lifecycle management, supplier negotiations, and procurement technology. Support accounting processes, improve supplier performance, and build spend analytics. Lead AI enablement across contract analysis, spend classification, supplier intelligence, negotiation preparation, and workflow automation. Drive build-versus-buy decisions, data integrity, stakeholder adoption, cycle-time reduction, and cost savings across life-sciences suppliers.
One Month AgoSaved
In-Office
2 Locations
Healthtech • Biotech
Develop and deploy scalable, production-ready AI and machine learning models for protein, antibody, and broader drug discovery. Collaborate with AI scientists, engineers, and drug discovery experts to translate research concepts into robust systems, support large-scale model training, and deliver measurable impact in life sciences and healthcare.
Healthtech • Biotech
Develop and apply deep learning models for protein and antibody structure, sequence, and property modeling. Train and evaluate GPU-based models using PyTorch, contribute to computational protein design research, analyze biological and biophysical datasets, document findings, and communicate progress with interdisciplinary scientists and engineers.
2 Months AgoSaved
In-Office
South San Francisco, CA, USA
Healthtech • Biotech
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.
2 Months AgoSaved
In-Office
South San Francisco, CA, USA
Healthtech • Biotech
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.
2 Months AgoSaved
In-Office
South San Francisco, CA, USA
Healthtech • Biotech
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.
2 Months AgoSaved
In-Office
Seattle, WA, USA
Healthtech • Biotech
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.