At Prenuvo, we are on a mission to flip the paradigm from reactive “sick-care” to proactive health care. Our unique integrated stack of optimized hardware, software, and increasingly AI, coupled with the patient‑centric experience across our domestic and global clinics, have allowed us to lead the change against “we caught it too late again”. We are looking for a Senior AI Applied Scientist II to independently own a model domain end-to-end within our AI Research org, from problem framing through validated, production‑deployed models.

As Prenuvo’s AI org moves from task‑specific models toward foundational work (meaning pre‑trained backbones, multi‑task heads, and the addition of clinical text and structured data), we need scientists who design experiments rather than only run them, diagnose failure modes on their own, and shape how the team approaches a whole class of problems. You will work at the intersection of deep learning, medical imaging, and clinical translation, accountable for both the rigor of the science and the delivery of the work. 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!

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. 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.

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.

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. Solid collaboration skills across ML Engineering, Product, and Clinical Ops, with high standards for scientific rigor balanced against delivery speed. Familiarity with FDA 510(k) submission processes or predicate‑based regulatory pathways Experience with interpretable AI and state‑of‑the‑art AI methods Prior work in a health tech or clinical AI environment We’re always building foundations that allow us to achieve tomorrow more than we did today.

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, including 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. 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 to applicable federal, provincial, and state rules. If you receive communication that you believe to be fraudulent, please report it immediately to jobs@prenuvo.

📌 Senior AI Applied Scientist II (Vancouver)
🏢 Socotra
📍 Vancouver