Lab Software Engineer

The role

You will design and build software that connects to lab instruments to capture experimental data. You will also build data pipelines, data models and tools that help scientists and AI teams advance drug discovery.

What you will do

• Design and develop software to interact with lab instruments and capture data from high and low throughput experiments.
• Build scalable pipelines for automated processing of instrument data.
• Define data models and schemas for experimental samples and data with computational and experimental teams.
• Develop APIs and tools to aggregate data for analysis and visualization.
• Participate in the configuration and management of LIMS and ELN systems.

Required qualifications

• For senior level: 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: experience gathering requirements from scientists and translating them into system design.
• For senior level: experience leading technical projects and driving cross-functional execution.
• For earlier careers: strong academic or early industry experience in scientific data analysis, database design or data integration.
• For earlier careers: hands-on experience with data model development on scientific projects.
• For earlier careers: demonstrated ability to learn quickly and apply new techniques to real-world problems.

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 with ELN/LIMS systems; experience with Benchling preferred.
• Experience developing software to interface with laboratory instruments.
• Experience developing data models and schemas for scientific samples and data.
• Working knowledge of SQL database queries and table design.
• Experience with cloud computing environments; AWS experience preferred.
• Strong problem-solving skills and ability to work in a collaborative, multidisciplinary environment.

Benefits

• Competitive compensation and benefits package.
• Open, flexible and friendly work environment.
• Platform to develop long-term careers.
• Base salary, bonus and equity.
• Summary of Benefits available to all applicants.

Before you apply

• Xaira Therapeutics is an equal-opportunity employer.
• Xaira Therapeutics does not accept agency resumes.

About the company

Xaira is an AI-focused biotech startup developing generative AI models to design protein and antibody therapeutics and foundation models for biology and disease. It is headquartered in the San Francisco Bay Area, Seattle and London.