Senior AI Applied Scientist II

What You’ll Do Lead development of foundation models and multimodal systems for whole‑body MRI, advancing self‑supervised and large‑scale representation learning across imaging, radiology, lab, and longitudinal data. Own experiment design and validation study scoping for your domain, diagnosing failure modes independently. Drive the data quality, annotation criteria, and quality standards your models depend on, engaging directly with clinical framing for your domain. Guide the strategic application of generative and agentic AI, including LLM adaptation and workflow orchestration, to accelerate research and clinical workflows. Contribute modeling approaches that others adopt, and define and execute a research roadmap that advances Prenuvo’s foundation‑model capabilities. Lead clinical review for your domain, partner across clinical, annotation, and ML Engineering, and raise the code‑quality bar for the team. Deliver production‑ready models with documented validation, clinical sign‑off, and performance benchmarks, owning the technical narrative for your domain. What You’ll Bring Technical depth Strong MSc or PhD from a top‑tier institution in CS, biomedical engineering, statistics, mathematics, or a related field. A minimum of 4 academic or industry years of ML experience, with a strong publication or applied‑research record including at least one first‑author work. Expert‑level PyTorch and the ability to write and review production‑quality research code. Demonstrated ability to own a model domain end‑to‑end (architecting, training, validating, deploying to a real performance bar) and to design experiments and validation studies independently. Deep fluency in self‑supervised learning: masked image modeling, contrastive learning, JEPA‑style methods, knowledge distillation, and large‑scale representation learning. Strong command of modern vision and multimodal architectures: Vision Transformers, multimodal transformers, foundation models, and vision‑language models. Experience in medical image analysis (segmentation, detection, classification, biomarker extraction, longitudinal modeling) and multimodal fusion of imaging with radiology, clinical, lab, and structured patient data. Experience applying generative and agentic AI (LLM adaptation, workflow orchestration) to healthcare or research applications. Strong collaboration skills across ML Engineering, Product, and Clinical Ops, with high standards for scientific rigor balanced against delivery speed. Nice to have Experience in body composition, vascular imaging, organ segmentation, or lesion detection Familiarity with FDA 510(k) submission processes or predicate‑based regulatory pathways Publications in top journals and conferences such as ISMRM, NeurIPS, MICCAI, ICML, RSNA, etc. Experience with interpretable AI and state‑of‑the‑art AI methods Prior work in a health tech or clinical AI environment What We Offer An avenue to make a positive impact on people’s lives and their health We believe in preventative healthcare for everyone, including our team – Prenuvo provides free, whole‑body scans to each team member Growth opportunities are at the heart of our people journey; there is no single path to success, it can be shaped along the way Building strong relationships is at the core of everything we do – our team gets together each week to connect, share, and socialize Recognizing time away to restore is vital to our wellbeing – we have a flexible vacation policy and we will encourage you to use it We offer a comprehensive benefits package including health, dental, vision, and mental health coverage, to support you and your family Prenuvo offers eligible Canadian employees access to both RRSP and TFSA retirement savings plans, with immediate, optional enrollment and the flexibility to invest and save for the future on your own terms. While Prenuvo provides access to these plans, the company does not currently offer matching contributions. The base salary for this role ranges from $150,000-$177,000 CAD per year, depending upon experience and geographic location We are an equal‑opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. As part of the hiring process, successful candidates will undergo a background check in compliance with applicable federal, provincial, and state rules. #J-18808-Ljbffr Prenuvo