Senior AI Applied Scientist II

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 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 [email protected].

You will independently own a model domain end-to-end, from problem framing to production deployment of AI models. This involves leading LLM fine-tuning, designing agentic AI architectures, and collaborating across clinical and engineering teams to deliver high-impact healthcare solutions.

Candidates must hold an MSc or PhD in a relevant technical field with at least 4 years of experience in ML/NLP. You must possess expert-level proficiency in PyTorch, LLM fine-tuning libraries, and a proven track record of deploying models in production environments.

• Free whole-body scans • Flexible vacation policy • Health insurance • Dental insurance • Vision insurance • Mental health coverage • RRSP retirement savings plan • TFSA retirement savings plan

• PythonPreferred

Identified from the job description. Confirm important requirements above.

• Deep learning
• Medical imaging
• LLM fine-tuning
• Agentic AI
• PyTorch
• NLP
• Python
• RAG
• Clinical translation
• Experiment design
• Model architecture
• Data quality
• Multimodal integration
• Supervised fine-tuning
• Reinforcement learning
• Technical leadership
• Clinical Translation
• Hallucinations
• LLaMA (Language Model)
• Large Language Modeling
• Langgraph
• Pipelines
• Language Models
• Workflow Management
• CrewAI
• AI Research
• AutoGen
• Retrieval Augmented Generation
• Schema Markup
• Technical Leadership
• Hugging Face Transformers
• Medical Devices
• Planning
• Reinforcement Learning from Human Feedback (RLHF)
• AI Agents
• Research
• Multi-Agent Systems
• Artificial Intelligence
• Applied Research
• Auxiliary Memory
• Mental Health
• Biomedical Engineering
• Biotechnology
• Medical Imaging
• Clinical Decision Support
• Communication
• Regulatory Compliance
• Computational Linguistics
• Continuous Monitoring
• Data Quality

• Technology
• Science & Research
• Healthcare
• Software
• Data & Analytics
• Applied Scientist
• Artificial Intelligence Engineer (General)
• Software Developers

Minimum education

Master’s degree

Minimum experience

5+ years

Posting language

English

Working hours

40 hours per week