Lab Software Engineer

Xaira Therapeutics; South San Francisco (CA); On-site; USD 152,000 - 205,000; Full time

Benefits offered by this job

Equity

Competitive compensation

Job summary

Xaira Therapeutics, a biotech startup leveraging AI for drug discovery, is seeking a Lab Software Engineer to build software that interacts with lab instruments, manages complex data, and supports acceleration of therapeutic development.

The role spans data capture, pipeline development, data modeling, API/tool creation, and LIMS/ELN system management in a fast-paced, cross-functional environment.

Qualifications

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

Responsibilities

• Design and develop software to interact with lab instruments and capture data.
• Build scalable pipelines for automated processing of instrument data.
• Define data models/schemas for experimental samples and data.
• Develop APIs and tools to aggregate data for analysis and visualization.
• Participate in configuring and managing LIMS/ELN systems.

Skills

Problem solving

Collaboration

Learning agility

Education

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

Tools

Python

C#

SQL

AWS

Job description

About Xaira Therapeutics

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.

About the Role

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.

What You Will Do

• 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.

Leveling

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.

Preferred Skills and Qualifications

• 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.

Compensation

We offer a competitive compensation and benefits package, seeking to provide an open, flexible, and friendly work environment to empower employees and provide them with a platform to develop their long-term careers. A Summary of Benefits is available for all applicants. We offer a competitive package that includes base salary, bonus, and equity. The base pay range for this position is expected to be $152,000 - $205,000 annually; however, the base pay offered may vary depending on the market, job-related knowledge, skills and capabilities, and experience.

Xaira Therapeutics an equal-opportunity employer. We believe that our strength is in our differences. Our goal to build a diverse and inclusive team began on day one, and it will never end.

TO ALL RECRUITMENT AGENCIES: Xaira Therapeutics does not accept agency resumes. Please do not forward resumes to our jobs alias or employees. Xaira Therapeutics is not responsible for any fees related to unsolicited resumes.