# Senior Applied Researcher AI/ML

**Company:** [PointClickCare](https://hotfix.jobs/companies/pointclickcare)
**Location:** Remote
**Role:** AI Research
**Salary:** CA$159k – CA$176k/yr
**Experience:** 5+ years
**Skills:** Python, SQL, Azure Data Lake, Spark, Databricks, Transformer Models, LLMs, Lora, Qlora, Hugging Face Transformers, PyTorch, scikit-learn, Ragas, Langsmith, Retrieval-Augmented Generation
**Posted:** 2026-03-09

> The Senior Applied Researcher develops and evaluates AI/ML model systems for healthcare SaaS products, working with structured and unstructured clinical data. The role requires advanced graduate education, industry healthcare ML experience, and hands-on expertise in LLMs, cloud platforms, data engineering, and production deployment.

## Job Description

## Responsibilities
- Apply machine learning and AI techniques, including **GenAI** and **LLM-based approaches**, to develop model systems and solutions for healthcare SaaS production environments.
- Collaborate with product leaders, clinical informaticists, data scientists, UI/UX researchers, engineers, and healthcare professionals to design and deliver solutions.
- Design, build, and evaluate solutions using structured and unstructured healthcare data, including predictive models, summarization, recommenders, semantic search, extraction, and classification.
- Conduct research and experimentation to select approaches, algorithms, and evaluation methods, and execute R&D for production-ready model systems.
- Perform data collection, cleaning, analysis, prompt tuning, parameter fine-tuning, model training, development, and evaluation.
- Apply and evolve responsible AI evaluation practices using **LLM-as-judge**, **RAGAS**, and **LangSmith**; implement custom metrics for model quality, fairness, and safety.
- Share knowledge and help develop new organizational capabilities.

## Requirements
- Ph.D. with **1+ years** of related industry experience, or a master's degree with **4+ years** of industry experience, including at least 1 year directly related to healthcare ML/AI.
- Industry experience delivering multiple major product releases in a commercial SaaS environment.
- Hands-on experience with healthcare data such as EHR, ADT, and clinical notes.
- Proficiency in **Python** and **SQL**; Java or other languages are helpful.
- Experience with data engineering and large datasets using **Azure Data Lake**, **Apache Spark**, or **Databricks**.
- Strong understanding of transformer models and LLM-based approaches, including prompt tuning and PEFT methods such as **LoRA** and **QLoRA**, using **Hugging Face Transformers**.
- Experience building and evaluating models with **NumPy**, **SciPy**, **Pandas**, **scikit-learn**, **PyTorch**, and **LightGBM**.
- Experience building and deploying models on public cloud infrastructure, including **Azure**, **AWS**, or **Google Cloud**, with familiarity with version control, CI/CD pipelines, and production ML scaling.
- Strong communication and collaboration skills, including comfort working on a distributed team.
- Experience with reinforcement learning or RLHF, NLP techniques, RAG pipelines, or agentic frameworks such as **LangChain** or **LlamaIndex**.

## Compensation
- Annual salary: **CAD 159,000–176,000**.

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