5 часов назад
Lab Software Engineer (AI)
152 000 - 205 000$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Lab Software Engineer (AI/scientific data): Designing and deploying software systems that capture laboratory instrument data, process scientific datasets, and support therapeutic discovery with an accent on laboratory workflows, scalable data pipelines, and biological data modeling. Focus on integrating lab instruments, building APIs and analysis tools, and managing LIMS/ELN systems for AI and drug discovery teams.
Location: South San Francisco, California, United States
Base salary: $152,000–$205,000 annually, plus bonus and equity.
Company
is a biotech startup using generative AI and foundation models for biology and disease to accelerate drug discovery and develop protein and antibody therapeutics.
What you will do
- Design and develop software interfaces for laboratory instruments and capture data from high- and low-throughput experiments.
- Build scalable pipelines for automated processing of instrument data.
- Define data models and schemas for experimental samples and biological data with computational and experimental teams.
- Develop APIs and tools for data aggregation, analysis, and visualization.
- Configure and manage LIMS and ELN systems.
Requirements
- Degree in Computer Science, Chemistry, Biology, Computational Biology, or a related field.
- Strong programming skills in Python and/or C#.
- Understanding of laboratory workflows and scientific data.
- Experience developing software for laboratory instruments and scientific data models or schemas.
- Working knowledge of SQL queries and database table design.
- Strong problem-solving and collaboration skills in multidisciplinary environments.
Nice to have
- Experience with ELN/LIMS systems, especially Benchling.
- Experience with cloud computing environments, particularly AWS.
- For senior-level candidates: 5+ years of industry experience, a record of delivering lab data solutions, requirements gathering, technical project leadership, and cross-functional execution.
Culture & Benefits
- Open, flexible, and friendly work environment.
- Competitive compensation and benefits package.
- Base salary, bonus, and equity.
- Opportunities for long-term professional development.
- Commitment to diversity and inclusion.
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