Student Research Worker

Job Details

• Job Type: Short Term Casual
• Bargaining Unit:
• Regular/Temporary:
  Temporary
• End Date if Temporary:
• Hours Per Week: 10
• Standard
  
  Work Schedule:
• Building:
• Salary Range: $23/HR-$23/HR

The salary of the finalist selected for this role will be set based on a variety factors, including but not limited to departmental budgets, qualifications, experience, education, licenses, specialty, and training. The above hiring range represents the University's good faith and reasonable estimate of the range of possible compensation at the time of posting.

The School of Nursing is seeking a data science-focused student research worker to support AI and machine learning research in cardiovascular health informatics. The position involves working with both structured and unstructured electronic health records (EHR) data, applying advanced computational methods including machine learning and natural language processing under the direction of Dr. Turchioe's federally funded research program.

• Processing and analyzing structured EHR data (vital signs, laboratory values, medications, diagnoses)
• Developing and applying natural language processing (NLP) methods to extract information from clinical notes
• Implementing machine learning models for prediction and classification tasks in cardiovascular populations
• Cleaning, preparing, and managing large healthcare datasets
• Conducting literature reviews on AI/ML methods in clinical research
• Assisting with manuscript preparation including methods sections, results visualization, and statistical reporting
• Collaborating with the research team on study design and analytical approaches
• Contributing to IRB protocols and data management documentation
• Attending research team meetings and presenting analytical findings
• Performing other duties as assigned

This is a grant funded position. Continued employment is based on availability of funding.

• Currently enrolled in a graduate program (MS or PhD) in data science, computer science, biomedical informatics, biostatistics, or related field
• Strong programming skills in Python and/or R
• Experience with machine learning libraries (scikit-learn, Tensor Flow, PyTorch, or similar)
• Familiarity with NLP techniques and tools (spaCy, NLTK, Hugging Face, or similar)
• Knowledge of statistical analysis and data visualization
• Experience working with large datasets and database management
• Strong analytical and problem-solving skills
• Excellent attention to detail and organizational abilities
• Ability to work independently and collaboratively in a research team
• Strong written and verbal communication skills

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

Columbia University is committed to the hiring of qualified local residents.