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Job Description
Xaira Therapeutics is seeking a highly motivated Scientist to join their Functional Genomics team. This role is pivotal in advancing the company's mission through high-throughput functional genomics efforts, contributing to new biological discoveries. The Scientist will be responsible for leading projects that push the boundaries of functional genomics technology, genetic screening, data science, AI/ML, and translational biology.

Role involves:
  • Developing, implementing, and scaling high-throughput CRISPR-based screening protocols.
  • Driving continuous innovation in experimental workflows and screening methodologies.
  • Partnering with computational biology, AI/ML, and drug discovery teams to analyze and interpret data.
  • Identifying and resolving challenges in data generation, ensuring assay reproducibility and quality control.
  • Managing multiple projects independently, ensuring timely delivery of high-quality data.
  • Maintaining accurate records of experiments, protocols, and findings.

Requirements:
  • Ph.D. in Molecular Biology, Genetics, Pharmacology, or a related field with 2+ years of industry experience.
  • Familiarity with perturb-seq and single-cell genomics.
  • Ability to troubleshoot technical issues and optimize methodologies for large-scale pooled screens.
  • Excellent written and verbal communication skills.
  • Demonstrated success in collaborative work within a fast-paced environment.

Xaira Therapeutics offers:
  • Competitive compensation and benefits package.
  • An open, flexible, and friendly work environment.
  • A platform to develop long-term careers.
  • Base salary, bonus, and equity.
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Xaira Therapeutics

Xaira Therapeutics is a biotech startup pioneering AI-driven drug discovery. Headquartered in the San Francisco Bay Area, Seattle, and London, Xaira develops generative AI models for protein and antibody therapeutics, targeting historically challenging molecular targets. The company also creates foundation models for biology and disease to improve target identification and patient stratification, with the aim of accelerating the development of novel therapies and improving success rates in drug development.

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