Student Research Worker

Responsibilities

• Prepare, clean, and organize research datasets, including structured EHR data such as vital signs, lab values, and medications
• Support data quality checks and generate basic data summaries under supervision
• Assist with extracting and organizing information from clinical notes using existing tools and workflows
• Support literature reviews and background research related to AI/ML and clinical research
• Assist with documentation for data management and research protocols, including data dictionaries and IRB/DUA materials
• Participate in research team meetings and provide regular updates on assigned tasks

Requirements

• Bachelor's degree or equivalent in education and experience
• Strong programming skills in Python and/or R
• Experience with machine learning libraries (e.g., scikit-learn, TensorFlow, PyTorch)
• Familiarity with NLP techniques and tools (e.g., spaCy, NLTK, Hugging Face)
• Knowledge of statistical analysis and data visualization
• Experience working with large datasets and database management
• Strong analytical, problem-solving, and organizational skills
• Excellent written and verbal communication skills

Preferred Qualifications

• Experience working with electronic health records (EHR) or clinical data
• Familiarity with healthcare terminologies such as SNOMED-CT, ICD, or LOINC
• Knowledge of HIPAA and research data security requirements
• Experience with deep learning approaches for clinical Natural Language Processing (NLP)

About the Company

The Columbia University School of Nursing is seeking a data science-focused student research worker to support AI and machine learning research in cardiovascular health informatics. This position works under the direction of Dr. Kang’s federally funded research program, focusing on applying advanced computational methods to both structured and unstructured electronic health records.