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Senior Applied Researcher AI/ML (US)

PointClickCare· PointClickCare – Engineering
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Remote$182.7k - $203kFull-timePosted 7mo ago

About the role

Senior Applied Researcher in AI/ML focused on healthcare, leveraging GenAI/LLM and production-ready model systems to solve critical customer and business challenges in a large-scale SaaS environment.

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.

Qualifications

  • 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).

Skills

Required:PythonSQLBig data frameworksTransformer models / LLMML packagesCloud deploymentCommunication
Nice to have:JavaReinforcement learning / RLHF

Benefits

  • 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!
Last updated Oct 21, 2026. Interested? Apply on the company site.

About PointClickCare

Healthcare Software for Smarter Care Delivery | PointClickCare

Transform care coordination and outcomes with AI-powered healthcare software that improves collaboration, reimbursement, and transitions of care.

healthcare softwareEHRcare coordinationhealthcare solutionssenior livingskilled nursinghospitals & health systemscare outcomes
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