The Clinical Trial Coordinator will be responsible for coordinating the PREDICT 2 study, particularly some aspects of recruitment. You will ensure that our PREDICT 2 participant recruitment, consent and data gathering is compliant with all IRB rules and regulations. You come to the role with experience in, and knowledge of IRB guidelines and requirements. You will be part of our participant recruitment and operational team to ensure the success of the study’s completion. It will be your responsibility to recruit participants and ensure target segments (e.g. defined age and gender brackets) are met.
You have a degree from a top-tier university and you have completed a BSc in life sciences or medical sciences, or you have previous clinical trial experience.
You are very well versed in the IRB rules and regulations.
An interest in nutritional science is key.
The opportunity to work in an early stage start-up company across a dynamic, multi-disciplinary team.
The chance to work with leading scientists on a continuation of the continuation of the largest nutrition science trial of its kind.
Working in a cutting-edge field to help build our understanding of personalized responses to nutrition, which has the potential to help millions of people across the world.
You have excellent interpersonal and communication skills. You love to engage participants in the research.
You have exceptional communication skills.
You have experience coordinating human clinical trials and have collected and handled data.
You have excellent knowledge of the IRB Informed Consent process. You are also capable of ensuring IRB guidelines are met, and any issues are reported as necessary.
You have an eye for detail and excellent organisational skills.
You are dynamic, motivated, and able to work both in a team and independently.
You have a passion for the subject.
Internal Number: 2C32FAEF08
About Project Sapiens
We are working on the new frontier combining human biology and data science.
We are combining cutting-edge nutritional science and the latest machine learning to predict personalised metabolic responses to foods. To achieve this, we are conducting our own clinical trials in collaboration with world-class scientists and technology experts.
We are a very well-funded start-up from an interdisciplinary team that has built billion-dollar revenue businesses from scratch, beaten Google on its home turf of machine learning for advertising, and includes some of the 1% most-cited scientists in the world.