Senior ML Research Scientist
Rad AIFull Time
Senior (5 to 8 years)
Candidates must possess a Ph.D. in a scientific discipline (e.g., Biology, Pharmacology, Clinical Research, or related field) and have at least 8 years of experience in clinical research, with a minimum of 5 years in a senior role. They should demonstrate a strong understanding of clinical trial design, data analysis, and medical writing, along with experience in the cardiac rhythm management (CRM) field. Possessing a relevant scientific certification is preferred.
The Senior Clinical Research Scientist will proactively manage project-level scientific aspects of clinical research projects, including study design, analysis, and evidence dissemination. They will support the Clinical Science function in developing clinical evidence strategies, working closely with internal and external stakeholders to ensure robust clinical findings. The role involves leading the development of clinical study design and protocols, developing analysis plans, and driving the interpretation of clinical data. Additionally, the Senior Clinical Research Scientist will be responsible for leading evidence dissemination through scientific writing, presentations, and collaboration with co-authors. They will also provide cross-functional support to HEOR and regulatory teams, contributing to the development of regulatory documentation, and participating in the review of investigator-initiated research proposals.
Advanced cardiac monitoring solutions provider
iRhythm Technologies focuses on cardiac monitoring solutions, with its main product being the Zio Patch, a wearable device that tracks heart rhythms for up to 14 days. This extended monitoring helps healthcare providers detect irregular heart rhythms that shorter monitoring might miss, making it especially useful for patients at risk. The company serves both patients and healthcare providers, generating revenue by selling the Zio Patch and offering data analysis services to interpret the collected heart data. iRhythm aims to improve patient outcomes and streamline healthcare workflows in the cardiac health sector.