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Senior Scientist

Vivodyne - San Francisco, CA, USA - In-office - posted 2026-10-19

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Salary: USD 120,000 - 160,000 / annual

Vivodyne creates human data before clinical trials by testing on large, lab-grown human organ tissues at massive scale. The company combines novel biology, robotics, and AI to accelerate the discovery, design, and development of human therapeutics. They produce clinically translatable multi-omic data from proprietary, physiologically-realistic human organ tissues, enabling more human data generation than all clinical trials in the U.S. combined. The company is backed by selective venture funds and has partnerships with a majority of the top 10 multinational pharmaceutical companies. In this full-time, onsite role in San Francisco, you will lead the development, optimization, and scaling of advanced human tissue models for deployment within Vivodyne's automated experimentation platform for therapeutic discovery. As a Senior Scientist on the Bioengineering team, you will own a scientific program centered around a specific tissue system or disease model, driving projects from early biological hypothesis generation through mature, scalable workflows. You will work cross-functionally with bioengineers, computational biologists, AI scientists, roboticists, hardware engineers, and translational researchers to develop next-generation human tissue platforms that enable deeper understanding of human biology and drug response. Key responsibilities include: - Leading development and optimization of complex in vitro human tissue models using primary human cells and advanced 3D culture systems - Designing, executing, and interpreting rigorous experiments with clear success criteria and proper controls to improve tissue phenotype, stability, scalability, reproducibility, and biological relevance - Driving mechanistic understanding of tissue behavior through multimodal characterization approaches - Troubleshooting difficult experimental problems systematically using first-principles reasoning and quantitative analysis - Partnering closely with robotics and hardware teams to adapt tissue workflows for automated operation and large-scale experimentation - Supporting transfer of tissue models from exploratory R&D into reliable production-grade workflows - Identifying sources of experimental variability and implementing strategies to improve robustness and reproducibility - Contributing to the development of scalable assay and tissue characterization pipelines The role requires exceptional experimental rigor, deep technical expertise in complex cell culture systems, strong scientific reasoning, and the ability to make sound, data-driven decisions in ambiguous and fast-moving environments. REQUIREMENTS: - PhD in bioengineering, cell biology, molecular biology, physiology, developmental biology, genetics, or a related field (focus on gut, lung, or immuno-biology is a plus) - 2–4 years of industry experience following PhD and/or postdoctoral training in biotechnology, therapeutics, tissue engineering, or related fields - Demonstrated record of scientific achievement through high-impact publications, patents, awards, or other evidence of advancing the state of the art - Deep expertise in mammalian cell culture, including primary human cells and complex 3D tissue models - Expertise with modern biomolecular and cellular characterization techniques including confocal imaging, flow cytometry, transcriptomic workflows, proteomic assays, next-generation sequencing workflows, and interpretation of resulting datasets - Proven ability to independently drive complex technical programs in fast-paced R&D environments PREFERRED QUALIFICATIONS: - Direct experience in building complex human models of gut and lung biology or in immunology/complex models of cancer biology - Experience developing organoid, organ-on-chip, or microphysiological systems - Experience scaling biological workflows into automated or high-throughput systems - Experience working with multimodal datasets integrating imaging, transcriptomics, proteomics, and functional readouts

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