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Sr. Research Associate Scientist, Benchmarking

Sr. Research Associate Scientist for antibody discovery workflows.
Xaira Therapeutics
On-Site
United States
USD 85,000 - 130,000
Job Description
Xaira Therapeutics is seeking a Sr. Research Associate Scientist to advance molecular screening platforms and data-driven discovery methodologies. This role involves driving innovation across multidisciplinary teams and ensuring high throughput in antibody discovery efforts. The candidate will be based in Seattle, Washington.

Role Involves:
  • Building and screening HT protein library benchmarking studies.
  • Evaluating and validating new library designs.
  • Designing and implementing innovative screening technologies.
  • Coordinating the synthesis, build, and validation of design libraries.
  • Partnering with bioinformatics, bioanalysts, and protein design teams.
  • Generating and analyzing high-throughput data.

Requirements:
  • Masters or Bachelor's Degree in Molecular Biology, Microbiology, Synthetic Biology, or related field.
  • 3-5 years of industry experience in large molecule hit identification.
  • Strong focus on high-throughput screening, yeast and phage display, antibody discovery and engineering.
  • Experience building and screening antibody yeast and phage display libraries.
  • Strong background in large-scale molecular biology techniques.
  • Familiarity with bioinformatics and machine learning.
  • Excellent organizational and project management skills.
  • Proven ability to collaborate effectively across multidisciplinary teams.

Xaira Therapeutics Offers:
  • Competitive compensation and benefits package.
  • Bonus and equity.
  • Open, flexible, and friendly work environment.
Apply Manually

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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