Lab Software Engineer

South San Francisco, CAfull timeOn Site

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mid

$152k–$205k

H1B: no

Xairatherapeutics The Lab Software Engineer designs and develops software systems to capture and process scientific data from lab instruments. The role collaborates with AI scientists and lab experts to accelerate therapeutic discovery.

Responsibilities

We are seeking a Lab Software Engineer to join our interdisciplinary data and bioinformatics engineering team, working at the intersection of AI, scientific workflows and therapeutic discovery. In this role, you will collaborate closely with AI scientists, lab scientists, and drug discovery experts to design, build, and deploy software systems that accelerate the identification and development of novel therapeutics.
This role spans a range of problem spaces, from building software that can interact with lab instruments to capture data to designing data models to store complex biological data. We are particularly interested in candidates who are excited to develop software and data models which will have a real-world impact within drug discovery, and who are comfortable working in fast-paced, cross-functional environments.
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.

Qualification

Degree in Computer Science

Required

5+ years of industry experience building and deploying data capture and analytics solutions for scientific data (Senior level)
Proven track record of delivering impactful solutions for lab scientists (Senior level)
Demonstrated success gathering requirements from scientists and translating into system design (Senior level)
Experience leading technical projects and driving cross-functional execution (Senior level)
Strong academic or early industry experience in scientific data analysis, database design or data integration (Early career)
Hands-on experience with data model development on scientific projects (Early career)
Demonstrated ability to learn quickly and apply new techniques to real-world problems (Early career)

Preferred

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/