Remote opportunity at
PointClickCareSenior Applied Researcher AI/ML (US)
The Senior Applied Researcher in AI and Machine Learning (US) reports to the Vice President of Advanced Technology and sits on the Advanced Technology and Applied…
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About This Role
The Senior Applied Researcher in AI and Machine Learning (US) reports to the Vice President of Advanced Technology and sits on the Advanced Technology and Applied AI Research team. The post is remote and full time. The researcher uses machine learning and AI to tackle healthcare problems, starting from problem framing and data preparation and moving through method selection to the evaluation of the finished model systems. The work spans…
Job Description
The Senior Applied Researcher in AI and Machine Learning (US) reports to the Vice President of Advanced Technology and sits on the Advanced Technology and Applied AI Research team. The post is remote and full time. The researcher uses machine learning and AI to tackle healthcare problems, starting from problem framing and data preparation and moving through method selection to the evaluation of the finished model systems.
The work spans classic machine learning and generative AI, including large language model techniques. The researcher designs and assesses solutions that draw on structured or unstructured healthcare records. Outputs can include predictive models, document summaries, recommendation engines, semantic search, information extraction and classification tools. Other work covers data collection and cleaning, prompt tuning, fine-tuning, model training and evaluation, using LLM-as-judge methods, RAGAS and LangSmith, plus custom metrics for fairness and safety.
Collaboration is constant: the researcher works with product leads, clinical informatics specialists, data scientists, UX researchers, engineers and clinicians to turn promising models into large cloud-hosted SaaS systems for healthcare. The role also shares know-how and grows what the organization can do. Hands-on work with healthcare data such as EHR, ADT and clinical notes is needed, along with proficiency in Python and SQL. No salary is stated.
Responsibilities
- Apply machine learning and generative AI, including LLM approaches, to healthcare problems
- Collaborate with product leaders, clinicians, engineers and other specialists to deliver solutions
- Design, build and assess models for prediction, summarization, search and classification
- Run experiments to choose algorithms, approaches and evaluation methods
- Handle data preparation, prompt tuning, fine-tuning, training and evaluation
- Advance responsible AI evaluation, including fairness and safety metrics
- Share knowledge and help build new capabilities across the organization
Requirements
- PhD with one or more years of related industry work, or a master's degree with four or more years in industry including a year in healthcare ML or AI
- Track record of multiple major launches in a commercial SaaS environment
- Hands-on experience with healthcare data such as EHR, ADT and clinical notes
- Proficiency in Python and SQL, plus data engineering for AI and ML
- Comfort handling very large datasets on Azure Data Lake, Apache Spark or Databricks
- Solid grasp of transformer models and LLM methods, including prompt tuning and PEFT techniques such as LoRA and QLoRA
- Experience building and deploying models on public cloud platforms
- Clear communication and comfort working on a distributed team
Qualifications
- Proficiency in Java or other programming languages
- Experience building models with NumPy, SciPy, Pandas, Scikit-learn, PyTorch or LightGBM
- Familiarity with reinforcement learning or RLHF, and with NLP for summarization, extraction, classification or search
- Experience with retrieval-augmented generation pipelines or agent frameworks such as LangChain or LlamaIndex
Core Skills
Benefits
- Benefits begin on the first day of employment
- Retirement plan with employer matching
- Flexible paid time off
- Wellness resources and support programs
- Parental and caregiver leave
- Fertility and adoption assistance
- Learning and development support
- Employee assistance program
- Inclusion and allyship groups
- Employee recognition
Frequently Asked Questions
Answers are based only on the employer’s listing; where it doesn’t say, neither do we.
Is this research role remote?
Yes. The listing describes it as remote and full time.
What degree and experience are accepted?
The posting accepts a PhD with one or more years of related industry work, or a master's degree with four or more years in industry, including at least one year in healthcare ML or AI.
Is experience with healthcare data required?
Yes. Hands-on work with healthcare data such as EHR, ADT and clinical notes is required.
Is a salary listed?
No. The posting does not state a salary.
Sample Interview Questions
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