Are you looking to work at AARH Lab as an Undergraduate or Graduate Research Assistant?

Research Assistant Position – AI & Healthcare Data Processing

Acadia AIoT Research Hub (AARH) | Acadia University

Position: Undergraduate or Graduate Research Assistant
Project: AI-Assisted Healthcare Forms Processing – Parseo Health
Start Date: Immediately
Type: Part-time, project-based position
Supervisor: Dr. Esteve Hassan

Job Description

We are seeking a motivated undergraduate or graduate student to support an industry research project focused on improving AI-assisted processing of healthcare authorization forms.

The successful candidate will work on Python-based data processing, PDF form field extraction, natural language processing (NLP), clinical terminology mapping, and evaluation of automated field-labelling accuracy.

Required Qualifications:

• Undergraduate (preferably 3rd/4th year) or graduate student in Computer Science, Software Engineering, Data Science, or a related field.
• Strong Python programming skills.
• Knowledge of machine learning and NLP fundamentals.
• Experience with data processing, JSON, and APIs.
• Strong analytical, problem-solving, and communication skills.
• Ability to work independently and start immediately.

Preferred Qualifications:

• Experience with PDF processing libraries and text extraction.
• Familiarity with scikit-learn, spaCy, or Hugging Face.
• Knowledge of healthcare data standards (FHIR, SNOMED CT, LOINC).
• Experience with Git and software development projects.

To Apply: Send your CV, a brief summary of relevant technical experience, and your availability to Dr. Esteve Hassan.

Applications will be reviewed immediately until the position is filled.

 

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