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Added 10 mins ago
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The University of British Columbia

Junior NLP Data Scientist

Vancouver, BC, Canada

$5,692.25 to $8,179.5 CAD / month · Part-time

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Job details

Pay: $5,692.25 to $8,179.5 CAD / month
Job type: Part-time
Apply by: Nov 7, 2026
Posting language: English
Posted: Oct 8, 2026

Original job description

Staff - Non Union

Job Category

M&P - AAPS

Job Profile

AAPS Salaried - Information Systems and Technology, Level A

Job Title

Junior NLP Data Scientist

Department

Chakrabarty Laboratory | Department of Psychiatry | Faculty of Medicine

Compensation Range

$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.

Posting End Date

October 15, 2026

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

Job End Date

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.

Job Summary

The Department of Psychiatry at the University of British Columbia (UBC) is seeking a part-time Junior NLP Data Scientist to join a dynamic, interdisciplinary research program focused on applying artificial intelligence to psychiatry and supportive cancer care.

Under the supervision of Dr. John-Jose Nunez and Dr. Trisha Chakrabarty, Assistant Professors at the Department of Psychiatry, the successful candidate will work in close collaboration with BC Cancer. They will contribute to the technical development of research and clinical tools that use natural language processing (NLP) and machine learning to improve the psychosocial health of patients and enhance care provided by clinicians.

Organizational Status

The Junior NLP Data Scientist receives direct direction and reports to the Principal Investigators, Dr. John-Jose Nunez and Dr. Trisha Chakrabarty. The Data Scientist will also interact with other lab members, research assistants, trainees, and members of other departments at UBC and BC Cancer. They will help coordinate the activities of student developers on the team.

Work Performed

Help with designing and developing predictive and generative NLP pipelines using clinical data.
Assist with front-end and back-end engineering for digital health applications.
Assist with building and maintaining secure, scalable cloud infrastructure for deploying AI models (e.g., AWS).
Assist with researching state-of-the-art techniques in NLP, machine learning, and ethical AI.
Collaborate with physicians, patients, developers, and researchers to co-design and evaluate clinical tools.
Support and at times lead the preparation of peer-reviewed manuscripts, conference abstracts, grant proposals, ethics submissions, and other scientific documentation.
Assist with coordinating student software developers, and liaise with research assistants.

Consequence of Error/Judgement

The Data Scientist receives direction and reports to the Principal Investigators. Errors in accuracy, judgement, tact and poor decisions could delay the timely completion of the projects or be damaging to the reputation, for the PIs, the Department, Faculty, UBC and other institutions affiliated with the project(s). The Principal Investigator will help with quality assurance and review work to mitigate these risks.

Supervision Received

Works under supervision and receives detailed instructions on assignments. Work is reviewed in terms of completeness, accuracy and timeliness.

Supervision Given

The position may involve the supervision of learners who join the laboratory, generally involving data science and programming tasks.

Minimum Qualifications

Undergraduate degree in a relevant discipline. Minimum of one year of related experience, or the equivalent combination of education and experience.

Willingness to respect diverse perspectives, including perspectives in conflict with one’s own
Demonstrates a commitment to enhancing one’s own awareness, knowledge, and skills related to equity, diversity, and inclusion

Preferred Qualifications

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.

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More about this job

Responsibilities

Develop predictive and generative NLP pipelines using clinical data, contribute to digital health applications, and help build secure cloud infrastructure for deploying AI models. Collaborate with clinicians, patients, developers, and researchers to design and evaluate clinical tools, while supporting scientific publications, research documentation, and coordination of student developers.

Requirements

A relevant undergraduate degree and at least one year of related experience, or an equivalent combination of education and experience, are required. Preferred qualifications include programming and machine learning experience, familiarity with NLP and cloud tools, collaborative research experience, and knowledge of clinical data, healthcare privacy, and responsible AI.

Skills

Natural Language Processing
Machine Learning
Python
PyTorch
TensorFlow
Pandas
Hugging Face
spaCy
NLTK
AWS
Google Cloud Platform
Docker
Clinical Data Analysis
Responsible AI
Digital Health Research
Scientific Writing

Visa sponsorship

Not detected in the job text

Keywords

Natural Language Processing
Machine Learning
Predictive Modeling
Generative AI
Clinical Data
Digital Health
Python
PyTorch
TensorFlow
Pandas
Hugging Face
spaCy
NLTK
AWS
Google Cloud Platform
Docker
Cloud Infrastructure
Healthcare
Oncology
Psychiatry
Responsible AI
Privacy Regulations
User-Centered Design
Usability Testing
Clinical Tools
Scientific Publications
Ethics Submissions
Grant Proposals
Multidisciplinary Collaboration

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