Xaira Therapeutics

Xaira Therapeutics

Principal Scientist, Functional Genomics

South San Francisco, California, United States · Principal

Sponsorship not specified$175k-$205kDetected 54 days ago
Machine LearningData ScienceLLMsBioinformaticsCRISPRMolecular BiologyNGSResearchExperimental DesignAnimal StudiesAnimal ModelsCommunicationCollaborationMentoringPublic Speaking

About the role

  • Xaira is seeking a highly motivated and experienced Principal Scientist to join our Functional Genomics team with a focus on high-throughput perturbation platforms and single-cell genomics technologies.
  • This position offers the opportunity to contribute to cutting-edge efforts at the intersection of functional genomics, machine learning, and disease biology.
  • Present scientific findings and contribute to publications, patents, and scientific presentations while mentoring and providing scientific guidance to researchers within the organization

Responsibilities

  • Lead high-throughput perturbation and functional genomics efforts supporting therapeutic discovery and AI/ML-driven research initiatives
  • Develop and implement advanced functional genomics technologies, including perturb-seq, CRISPRi/a, and single-cell omics workflows across complex cellular systems such as primary cells, differentiated cell types, and in vivo models
  • Design, optimize, and scale screening workflows to improve throughput, reproducibility, data quality, and experimental robustness
  • Collaborate closely with AI/ML scientists, computational biologists, automation engineers, and disease biology teams to integrate large-scale perturbation datasets into predictive modeling frameworks
  • Contribute to scientific strategy, experimental design, protocol development, and prioritization across multiple programs and platform initiatives
  • Our goal to build a diverse and inclusive team began on day one, and it will never end.

Requirements

  • Ph.D. in Immunology, Genomics, Molecular Biology, Bioengineering, or related scientific discipline with 10+ years of relevant industry and/or applied research experience
  • Experience generating, analyzing, and interpreting large-scale perturbation datasets across complex cellular systems including primary cells, differentiated models, and organoid systems
  • Familiarity with AI/ML applications in functional genomics and experience collaborating closely with computational and data science teams
  • Excellent analytical, organizational, written, and verbal communication skills, with the ability to thrive in fast-paced, highly collaborative environments focused on scientific innovation
  • Deep expertise in CRISPR-based screening approaches, perturb-seq, and single-cell RNA sequencing technologies, with a strong track record developing and scaling high-throughput functional genomics platforms
  • Demonstrated ability to independently lead scientific initiatives, drive cross-functional collaboration, and mentor scientists within multidisciplinary research environments

Skills

  • About Xaira Therapeutics
  • Xaira is an innovative biotech startup focused on leveraging AI to transform drug discovery and development.
  • Collectively, these technologies aim to continually enable the identification of novel therapies and to improve success in drug development.
  • Xaira is headquartered in the San Francisco Bay Area, Seattle, and London.

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.
  • We offer a competitive package that includes base salary, bonus, and equity.
  • The base pay range for this position is expected to be $175,000 - $205,000 annually; however, the base pay offered may vary depending on the market, job-related knowledge, skills and capabilities, and experience.

Benefits

  • A Summary of Benefits is available for all applicants.

This listing is sourced directly from Xaira Therapeutics's careers page and normalized into a canonical job model.