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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.
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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.
You design experiments with intent. You understand how to distinguish signal from noise, identify the critical question, and execute the next experiment that most efficiently moves a program forward. You are rigorous, skeptical, and deliberate in your reasoning, and you hold a high standard for experimental quality and interpretation.
You are an exceptional experimentalist with deep technical fluency and strong laboratory instincts. You understand the importance of controls, reproducibility, assay validation, and operational precision alongside speed. You can troubleshoot complex biological systems systematically and efficiently.
You take ownership of programs and outcomes. You are highly organized, reliable, and capable of managing multiple priorities while maintaining scientific quality and attention to detail. You understand that excellent science requires both creativity and disciplined execution.
You communicate clearly, document thoroughly, and work effectively across disciplines. You can explain complex biological concepts to engineers, computational scientists, and leadership teams while incorporating feedback from diverse stakeholders.
You remain thoughtful and effective in dynamic environments. You can tune out noise, prioritize effectively, and maintain focus on the highest-value scientific questions. You are comfortable operating in ambiguity while maintaining scientific rigor and clarity of thought.
Vivodyne, Inc. is an equal opportunity employer. Vivodyne complies with all laws respecting equal employment opportunity and does not discriminate against applicants with regard to any protected characteristic as defined by federal, state, and local law.
Compensation will be determined based on several factors including, but not limited to, skill set, years of experience, and the employee’s geographic location.
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