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

Senior AI Applied Scientist II (Agentic)

Vancouver, BCHybridFull TimeSeniorCA$150,000–CA$177,000 /yrPosted 2 months ago

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Required skills

LLM
AI
Deep Learning
Medical Imaging
Clinical Translation
SFT
PEFT
LoRA
QLoRA
DPO

Nice to have

Vision-Language Models
Health Tech
Biotech
Clinical AI

Role summary

Prenuvo is seeking a Senior AI Applied Scientist II to lead end-to-end model development within their AI Research organization. This hybrid role, based in Vancouver, focuses on applying deep learning, medical imaging, and clinical translation to proactive healthcare. Responsibilities include fine-tuning LLMs on clinical data, designing agentic AI systems, establishing robust NLP evaluation frameworks, integrating multimodal data, and driving experiment design and data quality. The ideal candidate will have a strong technical background with an MSc or PhD, at least 4 years of ML/NLP experience, and expert-level PyTorch skills. Experience with LLM fine-tuning libraries, agentic AI frameworks, and NLP evaluation techniques is crucial. Preferred qualifications include experience with medical text, vision-language models, and regulatory guidelines for AI in healthcare.

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 (Agentic) 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

LLM Fine-Tuning & Domain Adaptation: Lead the end-to-end fine-tuning of large language models (SFT, PEFT/LoRA, DPO/RLHF) on clinical text, radiology reports, and longitudinal patient histories to build specialized, domain-adapted clinical models.

Agentic AI System Architecture: Design, develop, and operationalize autonomous and semi-autonomous AI agent systems utilizing multi-step reasoning, tool use, workflow orchestration, planning, and memory architectures to automate and accelerate complex research and clinical workflows.

Comprehensive NLP & LLM Evaluation: Establish robust, automated, and human-in-the-loop NLP evaluation frameworks to benchmark clinical accuracy, detect hallucinations, assess reasoning capabilities, and ensure safety, reliability, and regulatory compliance of deployed language models.

Multimodal Integration: Collaborate on multimodal systems connecting imaging foundation models with LLMs, structured lab data, and clinical text to create holistic patient insight platforms.

Experiment Design & Validation: Own experiment design and validation study scoping for your domain, diagnosing failure modes independently and establishing rigorous scientific benchmarks.

Data Quality & Clinical Framing: Drive data quality standards, clinical annotation criteria, and knowledge grounding (e.g., RAG, ontology alignment) for language and agentic pipelines in close collaboration with medical experts.

Technical Leadership & Collaboration: Partner across clinical, annotation, and ML Engineering teams, raising the code-quality bar and contributing reusable architectures and frameworks adopted org-wide.

Production Delivery: Deliver production-ready LLM and agentic models with documented validation, clinical sign-off, and continuous monitoring 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, computational linguistics, AI/ML, statistics, biomedical engineering, or a related field.

A minimum of 4 academic or industry years of ML/NLP experience, with a strong publication or applied-research record including first-author works in top ML/NLP venues (e.g., NeurIPS, ACL, EMNLP, NAACL, ICML, ICLR).

Expert-level PyTorch and proficiency with modern LLM fine-tuning libraries (e.g., Hugging Face Transformers, Unsloth, vLLM, DeepSpeed, Axolotl).

Hands-on expertise in LLM Fine-Tuning & Alignment: Supervised Fine-Tuning (SFT), Parameter-Efficient Fine-Tuning (LoRA, QLoRA), Reinforcement Learning from Human Feedback (RLHF), and Direct Preference Optimization (DPO) applied to open-source foundation models (e.g., Llama, Qwen, Mistral).

Demonstrated depth in Agentic AI Architectures: Designing and deploying LLM agents using frameworks like LangGraph, AutoGen, or CrewAI, implementing tool use/calling, ReAct prompting, multi-agent coordination, external memory, and multi-step execution.

Proven track record in NLP Evaluation & Grounding: Designing custom evaluation suites, benchmark creation, automated evaluation metrics (e.g., ROUGE, BERTScore, LLM-as-a-Judge), hallucination mitigation, semantic search, and Retrieval-Augmented Generation (RAG).

Demonstrated ability to own an LLM/Agent model domain end-to-end (architecting, training, evaluating, deploying to production performance standards).

Strong collaboration skills across ML Engineering, Product, and Clinical Ops, balancing scientific rigor with rapid delivery.

Nice to have

Experience fine-tuning LLMs on medical or clinical text corpora (e.g., EHRs, DICOM structured reports, PubMed).

Experience integrating vision-language models (VLMs) with medical imaging pipelines.

Familiarity with FDA guidelines for AI/ML-based Software as a Medical Device (SaMD) or clinical decision support tools.

Prior experience in health tech, biotech, or clinical AI environments.

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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Senior AI Applied Scientist II (Agentic)

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