Medical Image Annotation

**About Us** At Prenuvo, we are on a mission to flip the paradigm from reactive "sick-care" to proactive health care. Our award-winning whole body scan is fast (under 1 hour), safe (MRI has no ionizing radiation), and non-invasive (no contrast). Our unique integrated stack of optimized hardware, software, and increasingly AI, coupled with the patient-centric experience of our clinics across North America, have allowed us to lead the charge against "we caught it too late again." We are looking for a **Medical Image Annotation & Research Associate** to join our dynamic Clinical data sciences and AI annotation Team. In this role, you will contribute to the execution of medical imaging annotation projects, with a primary focus on labeling and validating radiology data to ensure high-quality ground truth for AI model development. You will be responsible for performing rigorous quality control of AI-generated outputs, while also supporting data management, exploratory analytics, and literature-based research to inform ongoing innovation in medical imaging AI. This position is preferably based in **Vancouver** for an on-site, hybrid work arrangement located at **1290 Homer Street, Vancouver BC, V6H 1E1** allowing for seamless collaboration with our expert teams. Help reshape the world through proactive healthcare while working with cutting-edge technology and high performing teams with deep expertise - join us to make a difference in people's lives **What You'll Do** - Coordinate and oversee the end-to-end medical image annotation process, ensuring consistency, accuracy, and completeness of ground truth data for AI model training and validation. - Support annotation project timelines, resources, and deliverables, aligning cross-functional teams to meet quality and performance goals. - Collaborate with radiologists and clinical experts to refine annotation protocols and improve labeling strategies based on clinical best practices and AI model feedback. - Perform detailed reviews of annotated datasets, identify discrepancies or quality issues, and provide actionable feedback to enhance annotation accuracy and reviewer consistency. - Develop and maintain comprehensive documentation, including annotation guidelines, quality control protocols, tracking systems, and training materials, to support scalable and standardized workflows. - Conduct research, literature reviews, data analysis and visualization to assess annotation quality, model performance trends, and project progress, supporting evidence-based data-driven decision-making. - Support regulatory and clinical validation activities, partnering with compliance teams to ensure all workflows align with relevant regulatory standards. **What You'll Bring** - Genuine interest in Prenuvo's mission, with a passion for advancing healthcare through responsible, innovative use of AI, research, and data. - Excellent communication and collaboration skills, with the ability to work effectively alongside radiologists, AI researchers, data scientists, and regulatory professionals. - Strong analytical and image interpretation skills, with the ability to accurately identify and annotate complex medical features in MRI scans. - In-depth knowledge of medical terminology, disease pathology, and diagnostic imaging modalities, with a focus on MRI. - Meticulous attention to detail, with a strong ability to identify discrepancies and maintain high annotation accuracy and consistency. - Previous experience in research and literature review required, including the ability to synthesize findings to inform annotation protocols, model development, and regulatory documentation. - Research project management skills, with experience coordinating timelines, deliverables, and cross-functional collaboration in fast-paced, data-driven environments. - Competence in data management and basic data analytics, including the ability to organize, track, and interpret annotation and model performance data using spreadsheets or visualization tools. - Previous hands-on experience using medical image annotation tools, particularly for MRI studies, is preferred. - Academic training or equivalent professional experience (e.g., biomedical sciences, radiology, medical imaging, or life sciences) is preferred with demonstrated expertise in anatomy, pathology, and radiology imaging—particularly sectional anatomy in MRI- Having a Bachelor's, Master's, MD, and/or PhD in a relevant field is an added bonus. **Our Values** First: we are **Pioneers** - Transforming healthcare requires divergent thinking, bias for action, disciplined experimentation, and consistent grit and determination to maintain momentum. This journey is as challenging as it is rewarding. Second: we are **Platform-Builders** - We're always building foundations that allow us to achieve tomorrow more than we did today. We never lose sight of what's ahead - in a mindset of ownership and duty to our mission. Above all: we are **Patients** - We co