AI Solutions Manager
Arize AIFull Time
Mid-level (3 to 4 years), Senior (5 to 8 years)
Candidates must possess a Bachelor's degree, preferably in a Scientific or Technical Field, and have 2 to 5 years of experience in a Quality Assurance role within an FDA-regulated industry. Preferred qualifications include knowledge of 21CFR Part 11, 21 CFR 820.20, ISO 9001/13485, GDP, GCP, and experience with Quality Management Systems and CAPA. Exceptional written and verbal communication skills, attention to detail, proficiency in Excel, and the ability to work independently and in a team are essential.
The Quality Analyst will manage Quality Events and CAPAs, serve as a resource for quality metrics and process improvement, and assist with the implementation and maintenance of Quality Management Systems. Responsibilities include managing Corrective Action and Preventive Action responses, conducting follow-ups to ensure timely completion of corrective actions, assisting with the development and distribution of KPIs and quality metrics, and creating documentation for new flows, procedures, and training materials. The role also involves assisting with updates to Standard Work Instructions and Standard Operating Procedures, managing multiple QA tasks, and prioritizing effectively to meet corporate quality objectives.
Generates clinical evidence for trials
Clario specializes in generating clinical evidence for medical research by utilizing a comprehensive technology platform. Their services support various types of clinical trials, including decentralized, hybrid, and site-based trials. Clario's approach combines nearly 50 years of experience with a vast network of facilities across nine countries, allowing them to conduct a significant number of clinical trials and regulatory approvals. What sets Clario apart from competitors is their extensive expertise and the ability to provide a wide range of endpoint technologies, which enhances the quality of evidence produced. The company's goal is to empower partners in the healthcare industry to improve patient outcomes through reliable and rich clinical data.