Position Summary We are seeking an Automation Scientist to contribute to the development, implementation, and optimization of innovative lab automation systems to enable robust and efficient high-quality data generation for high-throughput cell therapy manufacturing QC testing. This hire will work closely with our Automation Engineering, Analytical Development, and Quality Control teams to capture and manage automated QC method requirements and data quality specifications. This hire will have a strong background in laboratory automation, instrumentation, and data analysis methodologies to implement assay optimization and troubleshooting strategies to streamline the transfer of benchtop assays to fully automated end-to-end workflows. This hire will also work with cross-functional teams to develop and implement assay method validation and verification test plans to ensure our systems meet requirements and quality expectations. Candidates should enjoy working in a fast-paced, mission-driven environment and be prepared to tackle a broad selection of challenges as the company grows.
Responsibilities
Collaborate in the design and development of fully automated QC methods
Analyze automation workflows to identify bottlenecks and areas for optimization
Troubleshoot and resolve technical issues related to automation systems and instrumentation
Develop sample and reagent format and storage management strategies
Coordinate DoEs (Design of Experiments) to optimize assay method parameters
Coordinate the validation and verification testing of automated methods to ensure precision, accuracy, and reproducibility of results
Implement quality control measures to maintain the high-quality generation
Implement troubleshooting methodologies to identify and resolve complex assay method issues
Requirements
Master's or Ph.D. in Bioengineering, Biotechnology, Chemistry, Molecular Biology, or a related field
Experience with assay method development for high-throughput screening
Experience with laboratory analytical instruments and automated systems
Experience with laboratory information systems (LIMS) and data analysis tools
Familiarity with DoE (Design of Experiments) principles and best practices
Strong technical writing skills and experience authoring Standard Operating Procedures (SOPs), documentation, and training materials
Familiarity with GMP compliance requirements
Familiarity with statistical analysis software tools
Creative, self-motivated, eager to take on a wide variety of tasks and grow with the evolving technology
Self-awareness, integrity, authenticity, and a growth mindset
This is Cellares Cellares is the first Integrated Development and Manufacturing Organization (IDMO) and takes an Industry 4.0 approach to mass manufacturing the living drugs of the 21st century. The company is both developing and operating integrated technologies for cell therapy manufacturing to accelerate access to life-saving cell therapies. The company’s Cell Shuttle integrates all the technologies required for the entire manufacturing process in a flexible and high-throughput platform that delivers true walk-away, end-to-end automation. Cell Shuttles will be deployed in Cellares’ Smart Factories around the world to meet total patient demand for cell therapies at global scale. Partnering with Cellares enables academics, biotechs, and pharma companies to accelerate drug development and scale out manufacturing, lower process failure rates, lower manufacturing costs, and meet global patient demand.The company is headquartered in South San Francisco, California with its commercial-scale IDMO Smart Factory in Bridgewater, New Jersey. The company is backed by world-class investors and has raised over $355 million in financing. Leveling will be based on overall experience, education, and demonstration of knowledge throughout the interview process.
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