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Senior Applied Researcher AI/ML (US)

2 months ago
United States
Full-time
Senior
Research Scientist
Data Science and Analytics
Apache Spark AWS Azure CI/CD Databricks GCP Generative AI Git Java LightGBM LLM Machine Learning NLP NumPy Pandas Python PyTorch Reinforcement Learning Scikit-learn SciPy SQL
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PointClickCare

PointClickCare

PointClickCare provides a leading cloud-based healthcare software platform that enables long-term and post-acute care providers to effectively manage the complete lifecycle of resident care while enhancing operational efficiency and improving resident ...

Health Care Providers & Services
1K-5K
Founded 2000
$232M raised
View All Jobs 59

Description

  • Apply machine learning and AI techniques, including GenAI and LLM-based approaches, to build and integrate model systems into healthcare SaaS production environments.
  • Collaborate with product leaders, clinical informaticists, data scientists, UI/UX researchers, engineers, and healthcare professionals to deliver high-value solutions.
  • Design, build, and evaluate solutions for structured and unstructured healthcare data, including predictive models, summarization, recommenders, semantic search, extraction, and classification.
  • Conduct research and experimentation to choose appropriate approaches, algorithms, and evaluation methods for production-ready AI systems.
  • Perform data collection, cleaning, analysis, prompt tuning, parameter fine-tuning, model training, development, and evaluation.
  • Apply and evolve responsible AI evaluation practices and create custom performance, quality, fairness, and safety metrics.
  • Contribute to a collaborative team culture by sharing knowledge and helping develop capabilities across the organization.
  • Work across functions to scale AI solutions in large-scale cloud-based production environments.

Requirements

  • Ph.D. with 1+ years of related industry experience or Master’s with 4+ years of 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 such as EHR, ADT, and clinical notes.
  • Proficiency in Python; proficiency in Java or other languages is helpful.
  • Proficiency with SQL and data engineering for AI/ML applications.
  • Experience working with large datasets using big data frameworks such as 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 using NumPy, SciPy, Pandas, Scikit-learn, PyTorch, and LightGBM.
  • Experience building and deploying models on public cloud infrastructure such as Azure, AWS, or Google Cloud, with familiarity in version control, CI/CD pipelines, and production ML scaling considerations.
  • Strong communication and collaboration skills, with comfort working on a distributed team.
  • Experience with one or more of reinforcement learning or RLHF, NLP for summarization/extraction/classification/semantic search, retrieval-augmented generation pipelines, or agentic frameworks such as LangChain or LlamaIndex.

Benefits

  • Base salary range of $178,000 to $198,000 per year, plus bonus and benefits.
  • Benefits starting from Day 1.
  • Retirement plan matching.
  • Flexible paid time off.
  • Wellness support programs and resources.
  • Parental and caregiver leaves.
  • Fertility and adoption support.
  • Continuous development support program and employee assistance program.

Interested in this position?

Apply directly on the company website

Apply Now

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