Lab Software Engineer for AI-Driven Drug Discovery

Engg; South San Francisco (CA); On-site; USD 185,000 - 259,000; Full time

Benefits offered by this job

Equity

Bonuses

Flexible work environment

Job summary

Xaira Therapeutics in California is seeking a Lab Software Engineer to join a multidisciplinary data and bioinformatics team. You will design, build, and deploy software systems that accelerate drug discovery, interfacing with lab instruments and managing complex biological data.

Collaborate with AI scientists and lab researchers to create scalable data pipelines, APIs, and data models, while contributing to LIMS/ELN configurations and advancing translational science.

Qualifications

• Degree in Computer Science, Chemistry, Biology, Computational Biology, or related field.
• Strong programming skills in Python and/or C#.
• Solid understanding of laboratory workflows and data.
• Experience working with ELN/LIMS systems, Benchling preferred.
• 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 preferred.

Responsibilities

• 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.

Skills

Python

C#

Data modeling

SQL

AWS

Education

Degree in Computer Science, Chemistry, Biology, Computational Biology, or related field

Tools

Benchling

LIMS/ELN systems

Job description

Xaira Therapeutics in California is seeking a Lab Software Engineer to join a multidisciplinary data and bioinformatics team. You will design, build, and deploy software systems that accelerate drug discovery, interfacing with lab instruments and managing complex biological data.

Collaborate with AI scientists and lab researchers to create scalable data pipelines, APIs, and data models, while contributing to LIMS/ELN configurations and advancing translational science.