Senior Scientist

About Xaira Therapeutics Xaira Therapeutics is an integrated biotechnology company driving advances in artificial intelligence to learn the language of life and transform how we treat disease. The company seeks to rethink the drug discovery and development process from end-to-end by bringing together leading talent across three core areas: machine learning research to better understand biology, expansive data generation to power new models, and robust therapeutic product development to treat disease. Xaira is headquartered in the San Francisco Bay Area. Position Overview You will be responsible for advancing molecular screening platforms, protein engineering, and data-driven discovery methodologies in the context of antibody discovery workflows. You will play a key role in driving innovation across multidisciplinary teams and ensuring high throughput and efficiency in discovery biology efforts. Key Responsibilities Build and lead HT protein library benchmarking studies for antibody discovery. Evaluate libraries for quality and metrics, then optimize vector designs for library builds and evaluation. Evaluate and validate new library designs through routine library benchmarking. Collaborate closely with Bioanalysts to quickly ensure library quality prior to discovery screening. Design, qualify, and productionize high-throughput molecular product screening technologies for machine learning data generation and hit identification. Establish workflows for hit selection, isolation, and purification, reducing turnaround times for lead validation as processes are modified. Coordinate the synthesis, build and validation of design libraries. Ensure screening reagents, controls and assays are qualified and in supply prior to screening. Report on screening initiatives to establish baseline metrics, capturing issues to be addressed quickly. Partner with bioinformatics, bioanalysts, and machine learning teams to integrate drug discovery with computational methods. Coordinate with screening teams to gate the delivery of qualified libraries. Recruit, train, and mentor team members, fostering a culture of scientific rigor and growth. Data Generation and Analysis : Utilize cutting-edge methodologies to generate high-throughput data, enabling the development of nature-inspired protein targets and functional insights into library designs, builds and screening. Qualifications Ph.D. in Molecular Biology, Microbiology, Synthetic Biology or related field. 5+ years of industry experience in large molecule hit identification, with a strong focus on high-throughput screening, yeast and phage display, antibody discovery and engineering. Experience building and screening antibody yeast and phage display libraries is required. Proven track record of scaling systems for enhanced throughput and efficiency. Strong background in large-scale molecular biology techniques, including phage and yeast display library builds and screening. Familiarity with bioinformatics and machine learning for data integration and target discovery. Excellent organizational and project management skills. Strong leadership and mentorship experience, with a track record of training and guiding junior researchers. Proven ability to collaborate effectively across multidisciplinary teams. Experience establishing and managing lab infrastructure from scratch. Expertise in developing workflows for hit validation, isolation, and purification. Prior work in metagenomics and protein engineering pipelines. Compensation We offer a competitive compensation and benefits package, seeking to provide an open, flexible, and friendly work environment to empower employees and provide them with a platform to develop their long-term careers. A Summary of Benefits is available for all applicants. The base pay range for this position is expected to be $130,000 - $160,000 annually; however, the base pay offered may vary depending on the market, job-related knowledge, skills and capabilities, and experience. Xaira Therapeutics is an equal-opportunity employer. We believe that our strength is in our differences. Our goal to build a diverse and inclusive team began on day one, and it will never end.

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