Senior Applied Researcher (AI/ML, CAD)

Pointclickcare; Ottawa; On-site; CAD 120,000 - 190,000; Full time

Job summary

PointClickCare is seeking a Senior Applied Researcher in AI/ML to advance innovative healthcare AI solutions within a cloud-based SaaS framework. You will work closely with product leaders, clinicians, data scientists, and engineers to design and deploy high-value model systems.

The role focuses on applying GenAI, NLP, and transformer-based approaches to structured and unstructured healthcare data, while emphasizing responsible AI and scalable production practices across the organization.

Qualifications

• Proven experience applying ML/AI techniques to healthcare data.
• Experience with model training, evaluation, and production deployment.
• Strong collaboration across cross-functional teams.
• Excellent communication and problem-solving skills.

Responsibilities

• Apply ML/AI techniques including GenAI and LLM-based approaches for healthcare SaaS.
• Design, build and evaluate model systems for production readiness.
• Work with clinicians, data scientists, and engineers to scale solutions to cloud environments.
• Explore responsible AI and evaluation methods for model quality and safety at scale.

Skills

Python

Java

NLP

Reinforcement learning

LLM/PEFT

Cloud ML

SQL

Data engineering

Healthcare data

Education

PhD in a relevant field

Master's degree in CS/ML with healthcare ML experience

Tools

HuggingFace Transformers

Databricks

PyTorch

Cloud platforms (Azure/AWS/GCP)

LangChain

Job description

• Reporting to the Vice President, Advanced Technology, you will be a member of the Advanced Technology / Applied AI Research team at PointClickCare
• Apply machine learning and AI techniques including GenAI and LLM-based approaches to develop model systems and solutions, collaborating across functions to scale and integrate these into large-scale cloud-based SaaS production environments for healthcare
• Work with product leaders, clinical informaticists, data scientists, UI/UX researchers, engineers, and healthcare professionals to design and deliver high value solutions
• Design, build and evaluate solutions that may involve structured or unstructured data for healthcare use cases, delivering capabilities such as predictive models, summarization, recommenders, semantic search, extraction, classification, or other AI/ML applications
• Perform research and experimentation to select appropriate approaches, algorithms, and evaluation methods, and execute the R&D needed to deliver production-ready model systems
• Perform data collection, cleaning, analysis, prompt tuning, parameter fine-tuning, model training, development, and evaluation—using existing or developing new tools or workflows as needed
• Apply and help evolve responsible AI evaluation practices, using approaches and frameworks such as LLM-as-judge, RAGAS, and LangSmith, and design and implement custom model performance and quality metrics as needed to ensure model quality, fairness, and safety at scale
• Contribute to a collaborative team culture, sharing knowledge and helping develop new capabilities across the organization

You are a talented Senior Applied Researcher in AI / Machine Learning, looking to make a difference solving critical customer and business challenges in the dynamic healthcare marketYou thrive applying creative and pragmatic solutions—from framing problems and preparing data, to selecting appropriate techniques, building and evaluating model systems—that will truly transform healthcare and enable our customers to deliver exceptional careStrong communication and collaboration skills; comfortable working on a distributed teamHands-on experience working with healthcare data (e.g. EHR, ADT, clinical notes)Proficiency in Python. Proficiency in Java or other languages helpfulExperience with one or more of: reinforcement learning or RLHF, NLP techniques for summarization, extraction, classification, or semantic search, retrieval-augmented generation (RAG) pipelines and/or agentic frameworks (e.g. LangChain, LlamaIndex)Experience building and evaluating models using modern ML packages such as NumPy, SciPy, Pandas, Scikit-learn, PyTorch, and LightGBMExperience building and deploying models using public cloud infrastructure (Azure, AWS, or Google Cloud), including familiarity with version control, CI/CD pipelines, and scaling considerations for production ML systems at SaaS scalePh.D grad, with 1+ years related industry experience OR Masters grad with 4+ years industry experience—including at least 1 year directly related to healthcare ML/AIExperience working with large datasets using big data frameworks (e.g. Azure Data Lake, Apache Spark or Databricks)Proven industry experience through multiple major product releases in a commercial SaaS environmentProficiency with SQL and data engineering for AI/ML applicationsSolid understanding of transformer models and LLM-based approaches, including hands-on experience with prompt tuning and PEFT methods (e.g. LoRA, QLoRA) using frameworks such such as Hugging Face Transformers