Our Mission and Vision Unlearn exists to transform clinical development by making every trial smarter. We harness data, AI, and digital twins to enable faster, more robust studies that bring life-saving treatments to patients faster. This mission drives everything we do as we partner with biopharmaceutical companies to redesign how clinical trials are planned, run, and analyzed. We are defining the future of clinical development with unmatched scientific credibility, replacing uncertainty with AI-powered precision so decisions are clearer and trials are stronger. We don’t just disrupt the pharmaceutical industry, we create lasting change. We believe AI will define the future of medicine, and we are committed to building that future responsibly, rigorously, and in close collaboration with our partners in clinical development. About Our Team We come from a variety of backgrounds ranging from machine learning to marketing—but regardless of where we come from, Unlearners share some common traits: Unlearners are ambitious ; we aren’t intimidated by big, challenging goals. Unlearners are disciplined experimenters ; we break down our big goals into smaller chunks and meet as often as necessary to track our velocity and iterate quickly. Unlearners are gritty ; we never give up, setbacks just make us try harder. Unlearners are receptive to new ideas ; in fact, we hate being stuck with the status quo Unlearners are storytellers ; sharing information with each other and with the world is super important, too important to be boring. And, last but not least, Unlearners are team-oriented ; we put the mission first, the company second, the team third, and individuals last. Headquartered in San Francisco, Unlearn was founded in 2017 by a team of world-class machine learning scientists. We have raised venture capital from top tier investors such as Altimeter, Insight Partners, Radical Ventures, 8VC, DCVC, and DCVC Bio, and completed our $50 million Series C in January 2024. If our purpose and culture resonate with you, we invite you to apply.
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Job Type
Part-time
Career Level
Mid Level
Education Level
No Education Listed