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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.
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.
Requirements
- 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).
- Demonstrated successes of gathering requirements from scientists and translating them into a system design (for Senior level).
- Experience leading technical projects, working independently and driving cross-functional execution (for Senior level).
- Strong academic or early industry experience, particularly in areas such as scientific data analysis, database design or data integration (for earlier career candidates).
- Hands-on experience with data model development on scientific projects (for earlier career candidates).
- Demonstrated ability to learn quickly and apply new techniques to real-world problems (for earlier career candidates).
Skills
- Python
- C#
- Laboratory workflows and data
- ELN/LIMS systems
- Benchling
- Software interfacing with laboratory instruments
- Data models/schemas for scientific samples and data
- SQL database queries and table design
- Cloud computing environments
- AWS
- Problem-solving
- Collaborative, multidisciplinary environment
Location
- San Francisco Bay Area
- Seattle
- London
Work Type
- Full-time
Experience Level
- Senior level
- Early career
Education Level
- Degree in Computer Science, Chemistry, Biology, Computational Biology, or a related field.
Salary/Compensations
- $152,000 - $205,000 annually
Benefits
- Competitive compensation and benefits package
- Open, flexible, and friendly work environment
- Platform to develop long-term careers
- Base salary, bonus, and equity
About the Company
- 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.
Equal Opportunity
- 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.