Junior NLP Data Scientist

Canada·Bcentry

Data ScientistData

0 views0 saves0 applied

Apply Now

Quick Summary

Requirements Summary

Applications will be accepted until 11:59 PM on the Posting End Date. This position is subject to the satisfactory completion of required background checks Job End DateAugust 31,

Technical Tools

Data ScientistData

Staff - Non Union

M&P - AAPS

AAPS Salaried - Information Systems and Technology, Level A

Junior NLP Data Scientist

Nunez Laboratory | Department of Psychiatry | Faculty of Medicine

What We Offer

~1 min read

$5,692.25 - $8,179.50 CAD Monthly

The Compensation Range is the span between the minimum and maximum base salary for a position. The midpoint of the range is approximately halfway between the minimum and the maximum and represents an employee that possesses full job knowledge, qualifications and experience for the position. In the normal course, employees will be hired, transferred or promoted between the minimum and midpoint of the salary range for a job.

October 5, 2026

Note: Applications will be accepted until 11:59 PM on the Posting End Date.

This position is subject to the satisfactory completion of required background checks

August 31, 2027

This position will be filled internally. It is posted for informational purposes only.

At UBC, we believe that attracting and sustaining a diverse workforce is key to the successful pursuit of excellence in research, innovation, and learning for all faculty, staff and students. Our commitment to employment equity helps achieve inclusion and fairness, brings rich diversity to UBC as a workplace, and creates the necessary conditions for a rewarding career.

Requirements

~1 min read

Experience with NLP libraries and toolkits (e.g., Hugging Face, spaCy, NLTK).
- Strong programming skills (Python preferred), with experience in ML and data science frameworks (e.g., PyTorch, TensorFlow, Pandas).
- Experience with cloud-based platforms (e.g., AWS, GCP) and containerization tools (e.g., Docker).
- Demonstrated ability to deliver on assignment programming and data science tasks and to work collaboratively within multidisciplinary teams.
- Track record of preparing or contributing to scientific publications.
- Experience working with healthcare or clinical datasets, particularly in oncology or psychiatry.
- Knowledge of privacy regulations and responsible AI practices in healthcare.
- Experience with digital health research, usability testing, or user-centered design.
- Industry or academic experience applying AI in healthcare settings.