The Associate Principal Scientist will contribute to CMC development of the company's pipeline, leading the design, development, and optimization of cell culture processes and the transfer of processes to clinical and commercial manufacturing sites.
Compensation
$142,000 - $224,100
Responsibilities
Participates in andor leads upstream process development of first-in-human and commercial processes by efficiently developing high yield, robust, and scalable cell culture processes.
Responsible for process development, process characterization, and regulatory filing activities to ensure a smooth and clear path to successful PPQs and BLAs for the company's pipeline.
Partner with colleagues in Discovery, Cell Line, Downstream Process Development, Analytical Sciences, and Manufacturing to develop integrated clinical and commercial process and manufacturing solutions that achieve quality by design targets with robust control strategies.
Advancing the upstream platform processes through creative process improvement initiatives to increase operational efficiency and reduce costs.
Collaborate with academia, industry partners, and vendors to drive development, innovation, and adoption of new process technologies.
Requirements
Ph.D. with 4+ years' experience
Master's with 8+ years' experience in chemical engineering, Bioengineering, Biological Engineering, or a related field
Nice to have: cell culture media development
Nice to have: high throughput microbioreactor systems
Lead failure analysis for next‑generation HBM devices, applying electrical, physical, and statistical techniques to identify root causes and drive corrective actions.
Responsibilities
Perform electrical, physical, and statistical failure analysis to identify, characterize, and understand defect and failure mechanisms in HBM products.
Analyze component- and system-level data to resolve root causes of failures using statistical techniques, engineering methodologies, and AI-enabled tools.
Apply AI tools (e.g., Copilot, Claude) and improved analytics to enhance failure detection, reliability learning cycles, yield improvement, and component performance.
Work closely with Product, Process, Test, Quality, and Manufacturing Engineering teams to resolve fabrication, assembly, and test-related issues.
Identify process defects, assembly-related failures, and test flow marginalities through detailed data analysis and characterization.
Requirements
Bachelor’s degree in Electrical Engineering, Computer Engineering, Physics, Materials Science, or a related field.
Nice to have: 7+ years of experience performing electrical and statistical failure analysis in the semiconductor industry
Nice to have: 7+ years of experience applying electrical and physical characterization techniques for semiconductor device and component analysis
Nice to have: Advanced coursework or hands-on experience in VLSI design, semiconductor processes, device physics, Python, and applied statistics
Nice to have: Experience using Artificial Intelligence or Generative AI tools (e.g., Copilot, Claude) for large-scale data analysis, failure prediction, and root cause identification
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