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Health Technology (HealthTech), Medical Diagnostics, AI, Preventative Medicine

Senior AI Applied Scientist II

Vancouver, BCHybridFull TimeSeniorCA$150,000–CA$177,000 /yrPosted 1 month ago

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Required skills

  • Foundation Models
  • Multimodal Systems
  • Whole-Body MRI
  • Self-Supervised Learning
  • Large-Scale Representation Learning
  • Imaging
  • Radiology
  • Lab Data
  • Longitudinal Data
  • Experiment Design

Nice to have

  • Body Composition
  • Vascular Imaging
  • Organ Segmentation
  • Lesion Detection
  • Predicate-based Regulatory Pathways
  • ISMRM

Role summary

Prenuvo is seeking a Senior AI Applied Scientist II to lead the development of foundation models and multimodal systems for whole-body MRI. This hybrid role involves end-to-end ownership of model domains, from problem framing to production deployment, focusing on deep learning, medical imaging, and clinical translation. The scientist will design experiments, diagnose failure modes, drive data quality, and guide the application of generative and agentic AI. Key responsibilities include advancing self-supervised learning, working with modern vision and multimodal architectures, and collaborating across clinical, annotation, and ML Engineering teams. A strong publication record and expertise in PyTorch are required. Preferred qualifications include experience in specific medical imaging areas and familiarity with regulatory pathways.

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 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.

This hybrid role is based in Vancouver. We expect you to be technically credible enough to review model architectures, challenge assumptions, and roll up your sleeves when it matters. We also expect you to build a team environment where people do their best work.

This role does not provide visa sponsorship. Applicants must be legally authorized to work in Canada at the time of hire and must not require employer sponsorship for a work visa (current or future).

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

  • 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

    • 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 could all be the next person who walks through our very doors, seeking clarity or peace of mind. We are proud of our impact on our patients’ lives, and we won’t stop till everyone can benefit from our work.

    • 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, we’re doing big things with bright minds - 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, 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. 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 to applicable federal, provincial, and state rules.

    Please be advised that official communication from our recruitment team will only come from our authorized domain [prenuvo.com]. If you are contacted by a recruiter, please ensure their email address ends with @prenuvo.com. We do not use third-party recruitment services or any other email domains for hiring purposes. If you receive communication that you believe to be fraudulent, please report it immediately to jobs@prenuvo.com.

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