Drug discovery has a translation problem: more than 95% of drugs that succeed in animal models fail in humans. We're building the alternative: human-first drug discovery, powered by organoids and AI, running on real human biology from the very first experiment. Our platform is 87% concordant with clinical patient data - a vast improvement over the 3% translational success rate of animals. We’ve demonstrated the ability to model immunotoxicology, immunogen stimulation, and two autoimmune diseases with more on the way. Numerous pharma partners including 3 Fortune 500 companies are already using the platform. We've raised ~$30M from AIX Ventures, Marc Benioff, Jeff Dean, and Y Combinator. With the FDA Modernization Act 3.0 and the FDA's March 2026 validation framework, the regulatory tailwinds only continue to get stronger. The opportunity ahead of the company is generational: build the first scaled engine for generating real human biological data, and use it to fundamentally change how medicines are discovered. Note to candidates: this describes a strong profile, not a checklist. If you don't match every point but believe you'd do this job well, please apply. We are hiring a Scientist I to run the hands-on cell and tissue culture work that every Parallel Bio program depends on. You will process human tissue, build and maintain cell banks, run immunological assays, and turn what works at the bench into robust, documented processes. This role is shared between Technical Operations and Science. You will split time between executing partner studies and strengthening the systems behind them: SOPs, cell inventory, and process consistency. It suits a scientist who likes the bench and has a high standard for technical accuracy, precision, and data quality.
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Job Type
Full-time
Career Level
Entry Level
Education Level
Ph.D. or professional degree