Lab Software Engineer

Xaira is an innovative biotech startup focused on leveraging AI to transform drug discovery and development. The company is leading the development of generative AI models to design protein and antibody therapeutics, enabling the creation of medicines against historically hard-to-drug molecular targets. It is also developing foundation models for biology and disease to enable better target elucidation and patient stratification. 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.

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

We are hiring across levels and are open to candidates with a range of experience:

For more experienced candidates (Senior level):

• 5+ years of industry experience building and deploying data capture and analytics solutions for scientific data.
• Proven track record of delivering impactful solutions for lab scientists.
• Demonstrated successes of gathering requirements from scientists and translating them into a system design.
• Experience leading technical projects, working independently and driving cross-functional execution.

For candidates earlier in their careers:

• Strong academic or early industry experience, particularly in areas such as scientific data analysis, database design or data integration.
• Hands-on experience with data model development on scientific projects.
• Demonstrated ability to learn quickly and apply new techniques to real-world problems.

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