Senior Scientist
Vivodyne
| Company | Vivodyne |
| Category | Science & Research |
| Location | San Francisco (Brisbane) |
| Remote | On-site (inferred) |
| Employment | Not stated |
| Level | Senior |
| Salary | Not stated by the employer |
| Posted | 19 May 2026 |
| Last verified | 4 Aug 2026 |
| Source | Employer ATS (greenhouse) |
Description
Vivodyne creates human data before clinical trials.
We accelerate the successful discovery, design, and development of human therapeutics by testing on large, lab-grown human organ tissues at massive scale, driving technological advancement at the convergence of novel biology, robotics, and AI. We identify and validate new therapeutic targets and de-risk new therapeutic assets by producing clinically translatable multi-omic data from our proprietary, physiologically-realistic human organ tissues at unprecedented scale, speed, and quality. This enables us to produce more human data than all clinical trials in the U.S. combined. We’re financially backed by some of the most selective and successful venture funds, and we have already partnered with a majority of the top 10 multinational pharmaceutical companies to discover and develop better, safer drugs and dramatically reduce the burden of animal testing.
www.vivodyne.com
Role
This is a full-time, onsite role in San Francisco.
You will lead the development, optimization, and scaling of advanced human tissue models for therapeutic discovery at Vivodyne. This role is focused on building robust, biologically faithful in vitro tissue systems that generate actionable data and can be deployed reproducibly at scale within Vivodyne’s automated experimental platform.
As a Senior Scientist on the Bioengineering team, you will own a scientific program centered around a specific tissue system or disease model (e.g. liver, lung, gut), driving projects from early biological hypothesis generation through mature, scalable workflows suitable for high-throughput experimentation and therapeutic evaluation.
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.
This 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. We are looking for a scientist who combines deep biological intuition with disciplined execution and who consistently designs experiments that produce clear, actionable conclusions.
Responsibilities
Tissue Model Development
Lead development and optimization of complex in vitro human tissue models using primary human cells and advanced 3D culture systems.
Design, execute, and interpret experiments to improve tissue phenotype, stability, scalability, reproducibility, and biological relevance.
Develop healthy and disease-state tissue models across multiple organ systems and therapeutic areas.
Drive mechanistic understanding of tissue behavior through multimodal characterization approaches.
Experimental Leadership
Independently design rigorous experimental strategies with clear success criteria, controls, and actionable outcomes.
Generate high-quality datasets using approaches including confocal imaging, transcriptomics, proteomics, flow cytometry, and functional assays.
Analyze and synthesize complex biological data to guide model optimization and program direction.
Troubleshoot difficult experimental problems systematically using first-principles reasoning and quantitative analysis.
Establish and refine SOPs and experimental workflows suitable for scalable automated execution.
Platform Scaling & Automation
Partner closely with robotics and hardware teams to adapt tissue workflows for automated operation and large-scale experimentation.
Support transfer of tissue models from exploratory R&D into reliable production-grade workflows.
Identify sources of experimental variability and implement strategies to improve robustness and reproducibility.
Contribute to the development of scalable assay and tissue character