Ai Medical Validation Manager Porto (Hybrid)

.We are helping medical doctors on their day-to-day, by creating a new digital ecosystem where they can easily access the most useful professional resources. By wasting less time searching for the content & tools they need, they have more time for what really matters: their patients. Tonic App is speeding up! We are conquering new markets, building even more amazing tools and our team is getting bigger! This is a great opportunity for you if you are looking for an exciting career change in a fast-growing start-up and you want to be part of a company that is shaping the future of digital health. Be part of a talented, smart and easy-going team that is our best asset and great to work with! What are we looking for? As a Medical Validation Manager you will be responsible for developing and executing an accurate validation framework to ensure the accuracy, reliability, and performance of our AI products when interacting with healthcare professionals. You will play a critical role in maintaining the high quality of our AI products, collaborating closely with our data & AI team and clinical content teams.This role demands a blend of attention to detail, technical expertise, scientific method and critical thinking to support us in developing solutions to meet our high standards of innovation and functionality. Responsibilities: Design validation frameworks and Execute Test Plans – Design detailed, comprehensive, and well-structured validation frameworks, including clinical test cases based to test our AI products' performance. Quality Assurance and Control – Implement quality assurance protocols to maintain high standards of quality for all AI systems and models. Identify, record, and document thoroughly any bugs or performance issues encountered during testing. Data Verification and Model Validation – Verify the quality and integrity of the data used for training and testing AI models. Validate the AI models accuracy, effectiveness, and adherence to specifications. Performance Monitoring and Optimization – Monitor AI systems post-deployment to identify any issues arising in a live environment. Regulatory Compliance and Documentation – Ensure that all AI testing and documentation practices comply with relevant industry standards and regulatory requirements.This is critical in a compliant healthtech startup Continuous Improvement and Education – Stay informed about the latest trends and advancements in AI, QA methodologies, and relevant technologies