Zina Sarif's Linkedin Analytics

On a mission to create a world where every life science company, research institute, and scientist fuelled by the ambition to conquer non-communicative diseases can seamlessly streamline their clinical trial pipeline. Thus, delivering tomorrow's medical breakthroughs to today's patients at an unprecedented scale and speed. Did you know that we have the potential to eliminate four years from the twelve-year timeline of clinical drug development by turbocharging clinical operations with intelligent automation? While business automation has been present for over a decade, clinical research has resisted automation, mainly due to the unfamiliarity of the tech elite with the field. This is precisely the change that Yendou is initiating! As the co-founder and CEO of Yendou, we are reshaping how clinical research teams, across stakeholders, come together and collaborate in clinical trials. During my time at Parexel and AstraZeneca, I witnessed the incredible power of the clinical operations machinery in orchestrating oncology clinical trials across various stakeholders and countries. At the same time, I recognized the challenges of designing operations that are both cost-effective and time-efficient, including coordinating the flow of critical information across stakeholders, borders, and compliance requirements. The reason is crystal clear: today, clinical operations teams spend a significant 60% of their time chasing down information to complete their tasks. The frictions of coordination, of communicating the right amount of information, to the right people, at the right time, in the right place, slow down our clinical operations and lower our R&D productivity. The outcome? Inflated drug development costs and extended development timelines. My co-founder, Patrick, and I established Yendou with a mission to liberate clinical operation teams to focus on more complex challenges. We're on a mission to eliminate the administrative work of running a clinical operation. We firmly believe that clinical researchers across organizations should concentrate on the challenging tasks—those that only people can do—while software manages the rest.