Senior Applied Researcher AI/ML (Remote, US)

About the role

PointClickCare, a health technology company serving over 30,000 provider organizations, is hiring a Senior Applied Researcher in AI / Machine Learning for its Advanced Technology / Applied AI Research team, reporting to the Vice President, Advanced Technology. The role solves critical customer and business challenges in the healthcare market, from framing problems and preparing data to building and evaluating model systems. The position is remote in the US, with occasional travel to the Mississauga and/or Salt Lake City offices for onboarding, team events and meetings.

Key responsibilities

• Apply machine learning and AI techniques, including GenAI and LLM-based approaches, to build model systems integrated into large-scale cloud-based SaaS 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 using structured or unstructured healthcare data, such as predictive models, summarization, recommenders, semantic search, extraction and classification.
• Perform research and experimentation to choose approaches, algorithms and evaluation methods, and run the R&D needed for production-ready models.
• Handle data collection, cleaning, analysis, prompt tuning, parameter fine-tuning, model training, development and evaluation.
• Help evolve responsible AI evaluation practices (e.g., LLM-as-judge, RAGAS, LangSmith) and define custom metrics for model quality, fairness and safety.
• Share knowledge and help develop new capabilities across the organization.

Required profile

• Ph.D. graduate with 1+ years of related industry experience, or Master's graduate with 4+ years, including at least 1 year in healthcare ML/AI.
• Proven experience through multiple major product releases in a commercial SaaS environment.
• Hands-on experience with healthcare data (EHR, ADT, clinical notes).
• Strong communication and collaboration skills, comfortable on a distributed team.

Required skills

• Python; Java or other languages helpful.
• SQL and data engineering for AI/ML applications.
• Big data frameworks such as Azure Data Lake, Apache Spark or Databricks.
• Transformer models and LLMs, including prompt tuning and PEFT methods (LoRA, QLoRA) with Hugging Face Transformers.
• NumPy, SciPy, Pandas, Scikit-learn, PyTorch and LightGBM.
• Public cloud deployment (Azure, AWS or Google Cloud), version control, CI/CD pipelines and scaling for SaaS ML systems.
• One or more of: reinforcement learning or RLHF, NLP summarization/extraction/classification/semantic search, RAG pipelines and agentic frameworks (LangChain, LlamaIndex).