Research / Clinical Coordinator

San Francisco /
Medical Research – Medical R&D /
Full-time
The primary function of the Research Coordinator is to supervise and manage approximately 1-2 dozen small trials in progress at any one time is to collect biometric data from subjects using wearable research devices and a phone-based application. The candidate will have excellent interpersonal skills and be able to effectively obtain informed consent for low risk and non-invasive protocols in generally healthy adults. Strong organizational skills and attention to detail are needed to effectively capture and label data sets. Some data may be gathered in hospital settings, research labs, exercise labs, or outdoors. Must be able to create and follow research protocols and master basic device troubleshooting. Comfort or experience interacting with medical personnel is highly desirable, but not mandatory.

Technical Requirements:
- Sufficient math / statistical background to understand and implement study size and throughput calculations, and to set and keep study enrollment schedules
- Sufficient organizational tool experience (Excel, Word) to generate reports to the Company on study stage and progress
- Comfortable executing data queries and analysis scripts from a terminal
 
Other Requirements:
- Experience generating clear reports; especially sending batch reports to stakeholders describing the status of studies
- Excellent communication skills to describe possible solutions to medical, technical, and product stakeholders
 
Preferred Qualifications:
- Creative problem solving
- Experience working with wearable and clinical grade devices
- Experience with human research in a lab setting




all.health has developed a comprehensive preventative and proactive healthcare platform that combines clinical-grade sensors, machine learning, patient histories, insurance claims data, and other information to provide real-time at-risk screening for several disease conditions; these include acute respiratory infections such as COVID-19, and chronic conditions such as hypertension and diabetes. Contextualized 24/7 data along with clinician input and interventions will then be used to guide positive behavior changes. The premise is to catch various health conditions early and help reverse or manage the negative effects.