BioSpace
US - California - San Diego
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Design and develop software for automated laboratory workflows and closed-loop discovery systems, including data pipelines, visualization tools, machine learning applications, and digital lab infrastructure. Integrate automation schedulers, LIMS, and data platforms, and support reliable deployment using DevOps practices and cloud solutions.
Requirements: Requires a Ph.D. in a relevant computer science, software engineering, or engineering field with at least three years of industry experience; alternatively, an M.S. with at least 10 years or a B.S. with at least 13 years of experience. Candidates should have strong Python, SQL, and JavaScript skills, experience with software development and cloud/DevOps practices, and preferably expertise in laboratory digitalization, autonomous lab systems, and life sciences or pharmaceutical research.
Key Skills: Python, SQL, JavaScript, Laboratory Automation, Machine Learning, Artificial Intelligence, DevOps, Cloud Computing, Data Pipelines, IoT Integration, Digital Lab Twins, LIMS/ELN Integration, Statistical Analysis, Data Visualization, Autonomous Laboratory Systems, Cross-Functional Collaboration
Benefits: Company Bonus, 401(k), Pension, Vacation Benefits, Medical Benefits, Dental Benefits, Vision Benefits, Prescription Drug Benefits, Flexible Spending Accounts, Life Insurance, Death Benefits, Time Off and Leave Benefits, Employee Assistance Program, Fitness Benefits, Employee Clubs and Activities
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