Senior Applied Researcher AI/ML (US)

PointClickCare

Canada

On-site

CAD 241,487 - 268,620

Full time

14 days+

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Benefits offered by this job

Benefits starting from Day 1
Retirement Plan Matching
Flexible Paid Time Off
Wellness Support Programs
Continuous Development Support Program

Job summary

A leading health tech company in Canada seeks a Senior Applied Researcher in AI/Machine Learning to drive innovation in healthcare solutions. You will develop and scale AI-based systems while collaborating with diverse teams. Ideal candidates possess a Master's in a related field and experience in SaaS environments. The position offers a salary range of $178,000 - $198,000, with additional benefits that set the standard for workplace culture and employee development.

Qualifications

  • Master’s degree or equivalent experience required.
  • Proven industry experience in a commercial SaaS environment.
  • Hands-on experience with healthcare data is essential.

Responsibilities

  • Apply machine learning techniques to develop model systems.
  • Collaborate with cross-functional teams to deliver solutions.
  • Perform R&D to deliver production-ready model systems.

Skills

Proficiency in Python
Machine Learning techniques
Communication skills
Experience with healthcare data
Knowledge of AI/ML applications

Education

Master's degree in Computer Science, Math, Physics, Engineering

Tools

Azure Data Lake
Apache Spark
Hugging Face Transformers

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 and connect with us on Glassdoor and LinkedIn.

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.
Required Experience
  • Master’s degree or equivalent experience in Computer Science, Math, Physics, Engineering, or a related field, with strong fundamentals in applied Mathematics, statistics, or machine learning.
  • 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).

$178,000 - $198,000 a year

At PointClickCare, base salary is one of the many components that make up our total rewards package. The USD base salary range for this position is $178,000‑198,000 (not overtime eligible) + bonus + benefits. Our salary ranges are determined by job and level. The range displayed on each job posting reflects the target for new hire salaries for the position across all US locations. Within the range, individual compensation is determined by job‑related skills and knowledge, relevant experience including professional and lived experience, and/or work location. Your recruiter can share more information about our total rewards package during the hiring process.

PointClickCare Benefits & Perks
  • Benefits starting from Day 1!
  • Retirement Plan Matching
  • Flexible Paid Time Off
  • Wellness Support Programs and Resources
  • Parental & Caregiver Leaves
  • Fertility & Adoption Support
  • Continuous Development Support Program
  • Employee Assistance Program
  • Allyship and Inclusion Communities
  • Employee Recognition… and more!

It is the policy of PointClickCare to ensure equal employment opportunity without discrimination or harassment on the basis of race, religion, national origin, status, age, sex, sexual orientation, gender identity or expression, marital or domestic/civil partnership status, disability, veteran status, genetic information, or any other basis protected by law. PointClickCare welcomes and encourages applications from people with disabilities. Accommodations are available upon request for candidates taking part in all aspects of the selection process. Please contact recruitment@pointclickcare.com should you require any accommodations. As part of our commitment to a streamlined and equitable hiring experience, PointClickCare uses AI tools to assist with candidate screening and assessment.

When you apply for a position, your information is processed and stored with Lever, in accordance with Lever’s Privacy Policy. We use this information to evaluate your candidacy for the posted position. We also store this information, and may use it in relation to future positions to which you apply, or which we believe may be relevant to you given your background. When we have no ongoing legitimate business need to process your information, we will either delete or anonymize it. If you have any questions about how PointClickCare uses or processes your information, or if you would like to ask to access, correct, or delete your information, please contact PointClickCare’s human resources team: recruitment@pointclickcare.com.

PointClickCare is committed to Information Security. By applying to this position, if hired, you commit to following our information security policies and procedures and making every effort to secure confidential and/or sensitive information.

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