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← Xaira Therapeutics

Lab Software Engineer

Xaira Therapeutics
Location
South San Francisco, California, United States
Posted
17 days ago
Department
Computational Protein Design
Salary
$152,000 - $205,000
What they actually want (must-haves)
  • 5+ years of industry experience building and deploying data capture and analytics solutions for scientific data (for Senior level)
  • Proven track record of delivering impactful solutions for lab scientists (for Senior level)
  • Demonstrated successes of gathering requirements from scientists and translating them into a system design (for Senior level)
  • Experience leading technical projects, working independently and driving cross-functional execution (for Senior level)
  • Strong academic or early industry experience in scientific data analysis, database design or data integration (for earlier career candidates)
  • Hands-on experience with data model development on scientific projects (for earlier career candidates)
Nice to have
  • Degree in Computer Science, Chemistry, Biology, Computational Biology, or a related field
  • Strong programming skills in Python and/or C#
  • Solid understanding of laboratory workflows and data
  • Experience working with ELN/LIMS systems, experience with Benchling preferred
  • Experience developing software to interface with laboratory instruments
What the job really is

As a Lab Software Engineer at Xaira Therapeutics, you will work within a data and bioinformatics engineering team, focusing on the intersection of AI and drug discovery. Your responsibilities will include designing and developing software to interact with lab instruments, building scalable data processing pipelines, and collaborating with various teams to define data models for experimental samples. This role demands a proactive approach in a fast-paced environment, aiming to create impactful software solutions for therapeutic development.

Benefits
  • Competitive compensation and benefits package
  • Base salary, bonus, and equity
  • Open, flexible, and friendly work environment
  • Platform for long-term career development
Things to weigh
  • No specific technologies or frameworks mentioned, which may indicate a lack of clarity in the tech stack
  • Role may involve a mix of high and low throughput experiments, which could vary daily
  • Base pay range provided, but actual salary may vary based on multiple factors
Job score3.8/5
Benefits2/5
Freshness4/5
Career value4/5
Role clarity4/5
Pay transparency5/5

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