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Senior Process Engineer, Assay Development

Foresite Labs Fl2024 006
CompanyForesite Labs Fl2024 006
CategoryEngineering
LocationSan Diego
RemoteHybrid
EmploymentNot stated
LevelSenior
SalaryUSD 131k–140k
Posted17 Jul 2026
Last verified30 Jul 2026
SourceEmployer career page (ashby)
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Description
Senior Process Engineer, Assay Development Location: San Diego, CA Job Type: Full-Time Compensation: $131,000 - $140,000 About Us We are a venture-backed, stealth-stage biotechnology company based in San Diego, focused on developing novel technologies that will redefine how disease is detected, characterized, and managed with a novel approach to clinical genomics. Our mission is to fundamentally transform healthcare through a convergence of innovation across multiple scientific disciplines. Founded by industry veterans with decades of experience in life sciences tools and diagnostics, our leadership team brings a proven track record of translating scientific insight into successful commercial products. Our investors include some of the most respected names in healthcare and deep tech. Position Overview We are seeking a Senior Process Engineer to drive the development, automation, and productionalization of clinical next-generation sequencing (NGS) assays. This is a hands-on individual contributor role focused on translating bench-developed chemistry into robust, automated, audit-ready workflows that are ready for clinical lab deployment. The Senior Process Engineer will work in close partnership with assay development scientists, automation engineers, quality/regulatory specialists, and laboratory operations to design and qualify automated methods for library preparation, nucleic acid extraction, and sample quantitation and normalization. The role requires a builder’s mindset, comfort with ambiguity, and the discipline to apply rigorous engineering practices in an early-stage environment where the process roadmap is still being defined. Key Responsibilities • Develop, optimize, and qualify automated workflows for NGS library preparation.. • Partner with assay development scientists to transfer bench-developed chemistry onto automation platforms, identifying and resolving robustness, scaling, and operability issues. • Apply DOE, SPC, and other statistical tools to characterize process performance, define operating windows, and establish in-process and release specifications. • Contribute to reagent and consumable manufacturing and qualification activities, including QC method development and lot release strategy. • Execute equipment qualification activities (IQ/OQ/PQ) for automation and ancillary instrumentation in partnership with engineering and lab operations. • Support development and maintenance of process documentation, including process maps, equipment lists, and bills of materials, in alignment with design control expectations. • Participate in tech transfer of NGS assays to the clinical laboratory, supporting validation activities and resolving process issues that surface during scale-up and deployment. • Partner cross-functionally with chemistry, automation, software, quality, and lab operations to drive sustainable process improvements. Qualifications Required: • BS/MS in Chemical Engineering, Bioengineering, Biochemistry, Biotechnology, or a related field. • 6+ years of experience in process engineering or process development within clinical diagnostics, NGS, biotech, or other regulated laboratory environments. • Hands-on experience developing and optimizing automated laboratory workflows, including direct protocol development on liquid handling platforms. • Demonstrated experience supporting clinical or near-clinical NGS assays, including library preparation, nucleic acid extraction, methylation conversion, or sample QC workflows. • Prior experience supporting LDT and/or FDA-regulated IVD assay development. Working knowledge of design controls and regulated development frameworks (ISO 13485, IVD or LDT context), with experience operating in a quality-driven environment. • Practical fluency in data-driven process development methods — DOE, statistical process control, Gage R&R, root cause analysis. • Ability to operate independently across multiple workstr
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