Senior Applied Researcher AI/ML (US) at PointClickCare

This role is designed for a seasoned AI/ML specialist with a strong background in healthcare data. The ideal candidate holds a Master’s degree and has a proven

Work type: remote

Location: Remote - US

Salary: $178,000 – $198,000/yr

Type: Full-time

Summary

This role is designed for a seasoned AI/ML specialist with a strong background in healthcare data. The ideal candidate holds a Master’s degree and has a proven track record of moving models from research to production within a commercial SaaS environment. You should be deeply familiar with clinical datasets (EHR/ADT) and modern LLM techniques like prompt tuning, RAG pipelines, and parameter-efficient fine-tuning (PEFT). The position offers a competitive salary range of $178k – $198k and the stability of working for a founder-led, privately held leader in health tech. While fully remote within the US, you’ll benefit from high-impact work utilizing a massive proprietary dataset. The company culture is highly rated, emphasizing a "human-first" approach to AI and significant reinvestment into R&D. **You might be a good fit if you:** * Have hands-on experience with Python, PyTorch, and Hugging Face in a production Cloud environment (Azure/AWS/GCP). * Are comfortable navigating complex healthcare data like clinical notes and structured medical records. * Expertly leverage LLM frameworks such as LangChain, LlamaIndex, or LangSmith to build and evaluate agentic systems. * Enjoy collaborating with clinical informaticists and product leaders to solve real-world patient care challenges.

Job Description

At PointClickCare our mission is simple: to help providers deliver exceptional care. And that starts with our people. As a leading health tech company that’s founder-led and privately held, we empower our employees to push boundaries, innovate, and shape the future of healthcare.

With the largest long-term and post-acute care dataset and a Marketplace of 400+ integrated partners, our platform serves over 30,000 provider organizations, making a real difference in millions of lives. We also reinvest a significant percentage of our revenue back into research and development, ensuring our employees have the resources to innovate and make a lasting impact. Recognized by Forbes as a top private cloud company and honored as one of Canada’s Most Admired Corporate Cultures, we offer flexibility, growth opportunities, and meaningful work.

At PointClickCare, we empower our people to be the architects of a smarter healthcare future; one that is human-first and accelerated by AI to create meaningful and lasting change. Employees harness AI as a catalyst for creativity, productivity, and thoughtful decision-making. By integrating AI tools into our daily workflows, collaboration is enhanced, outcomes are improved, and every team member has the proficiency to maximize their impact. It all starts with our hiring practices where we uncover AI expertise that complements our mission, and we continue to invest in training and development to nurture innovation throughout the employee journey.

Join us in redefining healthcare — so it doesn’t just survive, it thrives. To learn more about PointClickCare, check out [Life at PointClickCare](https://can01.safelinks.protection.outlook.com/?url=https%3A%2F%2Fpointclickcare.com%2Flife-at-pointclickcare%2F&data=05%7C02%7CSandeep.Dhillon%40pointclickcare.com%7Ce9353db140a24fd980f808ddb00013f1%7Cafd0249eca3d42058bf4ac2b6abd0fec%7C0%7C0%7C638860236586947941%7CUnknown%7CTWFpbGZsb3d8eyJFbXB0eU1hcGkiOnRydWUsIlYiOiIwLjAuMDAwMCIsIlAiOiJXaW4zMiIsIkFOIjoiTWFpbCIsIldUIjoyfQ%3D%3D%7C0%7C%7C%7C&sdata=dIKtrMG7L0sb%2FfLrFRvhcZAmfqfNXTXDTvMsoJkwGvM%3D&reserved=0) and connect with us on [Glassdoor ](https://can01.safelinks.protection.outlook.com/?url=https%3A%2F%2Fwww.glassdoor.ca%2FOverview%2FWorking-at-PointClickCare-EI_IE452666.11%2C25.htm&data=05%7C02%7CSandeep.Dhillon%40pointclickcare.com%7Ce9353db140a24fd980f808ddb00013f1%7Cafd0249eca3d42058bf4ac2b6abd0fec%7C0%7C0%7C638860236586978442%7CUnknown%7CTWFpbGZsb3d8eyJFbXB0eU1hcGkiOnRydWUsIlYiOiIwLjAuMDAwMCIsIlAiOiJXaW4zMiIsIkFOIjoiTWFpbCIsIldUIjoyfQ%3D%3D%7C0%7C%7C%7C&sdata=KVgSiL%2ByFmnpxTc5PmuErMwRNwDmTGqUzJIUSIm5fY0%3D&reserved=0)and [LinkedIn](https://can01.safelinks.protection.outlook.com/?url=https%3A%2F%2Fwww.linkedin.com%2Fcompany%2Fpointclickcare%2F&data=05%7C02%7CSandeep.Dhillon%40pointclickcare.com%7Ce9353db140a24fd980f808ddb00013f1%7Cafd0249eca3d42058bf4ac2b6abd0fec%7C0%7C0%7C638860236586994867%7CUnknown%7CTWFpbGZsb3d8eyJFbXB0eU1hcGkiOnRydWUsIlYiOiIwLjAuMDAwMCIsIlAiOiJXaW4zMiIsIkFOIjoiTWFpbCIsIldUIjoyfQ%3D%3D%7C0%7C%7C%7C&sdata=AFNWMltUX65iQ5E5LFYOrA9bKP10SzKQ7jwcti57q2E%3D&reserved=0).

Travel to Office expectations
For Remote Roles: If this role is remote, there will be in-office events that will require travel to and from the Mississauga and/or Salt Lake City office. These will include, but not limited to, onboarding, team events, semi-annual and annual team meetings.

For Hybrid Roles: If this role is Hybrid, there will be an expectation to reside within commutable distance to the office/location specified in the job listing. This will include, but not limited to, weekly/bi-weekly/monthly events in the office with your specific team. This is a requirement for this role.

The Role

Reporting to the Vice President, Advanced Technology, you will be a member of the Advanced Technology / Applied AI Research team at PointClickCare.

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 market. You 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 care.

Responsibilities

• 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.

• Ph.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/AI

• Proven industry experience through multiple major product releases in a commercial SaaS environment.

• Hands-on experience working with healthcare data (e.g. EHR, ADT, clinical notes).

• Proficiency in Python. Proficiency in Java or other languages helpful.

• Proficiency with SQL and data engineering for AI/ML applications.

• Experience working with large datasets using big data frameworks (e.g. Azure Data Lake, Apache Spark or Databricks)

• Solid 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 as Hugging Face Transformers.

• Experience building and evaluating models using modern ML packages such as NumPy, SciPy, Pandas, Scikit-learn, PyTorch, and LightGBM.

• Experience 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 scale.

• Strong communication and collaboration skills; comfortable working on a distributed team.

• Experience 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).

Reporting to the Vice President, Advanced Technology, you will be a member of the Advanced Technology / Applied AI Research team at PointClickCare.

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 market. You 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 care.

Responsibilities

• 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.

• Ph.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/AI

• Proven industry experience through multiple major product releases in a commercial SaaS environment.

• Hands-on experience working with healthcare data (e.g. EHR, ADT, clinical notes).

• Proficiency in Python. Proficiency in Java or other languages helpful.

• Proficiency with SQL and data engineering for AI/ML applications.

• Experience working with large datasets using big data frameworks (e.g. Azure Data Lake, Apache Spark or Databricks)

• Solid 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 as Hugging Face Transformers.

• Experience building and evaluating models using modern ML packages such as NumPy, SciPy, Pandas, Scikit-learn, PyTorch, and LightGBM.

• Experience 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 scale.

• Strong communication and collaboration skills; comfortable working on a distributed team.

• Experience 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).

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