Manage tech transfer and daily operations of mammalian or microbial bioreactor systems. Optimize cell culture, fermentation, and purification (chromatography/filtration). Ensure compliance with cGMP and FDA regulations, author SOPs, and investigate deviations using CAPA processes.
- The Team You Will Join: The Upstream/Downstream Biomanufacturing unit safely scales molecular and cellular therapies from benchtop lab concepts to commercial-scale manufacturing.
- The Opportunity: Seeking a Bioprocess Engineer to oversee the tech-transfer and daily operational output of mammalian or microbial bioreactor systems.
- Key Responsibilities:
- Optimize cell culture, fermentation, and purification (chromatography/filtration) parameters.
- Maintain strict adherence to current Good Manufacturing Practices (cGMP) and FDA regulations.
- Author standard operating procedures (SOPs) and investigate deviations (CAPA).
- Required Qualifications: Bachelor’s or Master’s in Chemical Engineering, Biotechnology, or Bioengineering; 3+ years of experience within a regulated cGMP manufacturing environment.
Similar Jobs
Automation
Lead signal and power integrity (SIPI) architecture and implementation for compute and AI SoCs and platforms. Design, model, and simulate end-to-end power delivery (DC/AC/transient), validate I/O performance, drive chiplet and advanced packaging solutions, and collaborate across silicon, package, motherboard, thermal, and platform teams to deliver production-ready HPC processor systems.
Top Skills:
Ac SimulationAdvanced PackagingChiplet ArchitectureDc SimulationDecoupling Capacitor SolutionsFoundry TechnologiesHpc PlatformsIp DesignMotherboard/Pcb DesignOsat TechnologiesPower Integrity ModelingSignal And Power Integrity (Sipi)Silicon NodesSoc DesignSubstrate TechnologiesTransient SimulationVoltage Regulator Design
Automation
Lead applied research projects that advance AI for software developers (code completion, embeddings, agentic systems). Build datasets from public and internal code, train and manage large-scale ML experiments and models, collaborate across Microsoft Research, product teams, and GitHub, and transition research into product through experimentation and evaluation.
Top Skills:
Code EmbeddingsCodellmCopilot CliGithub CopilotLlmRagVisual StudioVs Code
Automation
Lead vision and execution for agentic AI products that reason, plan, and act across apps, web, and OS. Define MVPs, partner with research, engineering, and design, set up evaluation and data processes, balance platform trade-offs, and drive adoption while managing risk and postmortems.
Top Skills:
Ai/MlAzureBingCopilotEdgeGenerative AiJavaScriptM365PythonSQL
What you need to know about the San Francisco Tech Scene
San Francisco and the surrounding Bay Area attracts more startup funding than any other region in the world. Home to Stanford University and UC Berkeley, leading VC firms and several of the world’s most valuable companies, the Bay Area is the place to go for anyone looking to make it big in the tech industry. That said, San Francisco has a lot to offer beyond technology thanks to a thriving art and music scene, excellent food and a short drive to several of the country’s most beautiful recreational areas.
Key Facts About San Francisco Tech
- Number of Tech Workers: 365,500; 13.9% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Google, Apple, Salesforce, Meta
- Key Industries: Artificial intelligence, cloud computing, fintech, consumer technology, software
- Funding Landscape: $50.5 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Sequoia Capital, Andreessen Horowitz, Bessemer Venture Partners, Greylock Partners, Khosla Ventures, Kleiner Perkins
- Research Centers and Universities: Stanford University; University of California, Berkeley; University of San Francisco; Santa Clara University; Ames Research Center; Center for AI Safety; California Institute for Regenerative Medicine

