Junior NLP Data Scientist

Job summary

The candidate will design and develop predictive and generative NLP pipelines using clinical data while assisting with cloud infrastructure and digital health application engineering. They will also collaborate with multidisciplinary teams to co-design clinical tools and contribute to scientific documentation and manuscript preparation.

Job details

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.

What you’ll do

The candidate will design and develop predictive and generative NLP pipelines using clinical data while assisting with cloud infrastructure and digital health application engineering. They will also collaborate with multidisciplinary teams to co-design clinical tools and contribute to scientific documentation and manuscript preparation.

Requirements

The position requires an undergraduate degree in a relevant discipline and at least one year of related experience. Proficiency in Python, machine learning frameworks, and experience with NLP libraries are strongly preferred.

Listed skills

• Docker · Preferred
• Machine learning · Preferred
• Amazon Web Services · Preferred
• Python · Preferred

Other relevant skills

Identified from the job description. Confirm important requirements above.

• Natural Language Processing
• Machine Learning
• Python
• PyTorch
• TensorFlow
• Pandas
• AWS
• Cloud Infrastructure
• Data Science
• Digital Health
• Clinical Data
• Generative AI
• Predictive Modeling
• Docker
• Containerization
• Scientific Writing
• Employment Equity
• Ethical AI
• Tactfulness
• Responsible AI
• Healthcare Industry Knowledge
• Back End (Software Engineering)
• Interdisciplinary Research
• Hugging Face (NLP Framework)
• Ethical Standards And Conduct
• SpaCy (NLP Software)
• Research
• Psychiatry
• Artificial Intelligence
• Amazon Web Services
• Software Development
• Cancer Care
• Information Systems
• Health Research
• Scalability
• Innovation
• Python (Programming Language)
• Oncology
• Natural Language Processing (NLP)
• NLTK (NLP Analysis)
• Privacy Law
• Quality Assurance
• Scientific Literature
• Technological Change
• Usability Testing
• User-Centered Design
• Front End (Software Engineering)
• Pandas (Python Package)
• Teamwork
• PyTorch (Machine Learning Library)

Job areas

• Data & Analytics
• Science & Research
• Healthcare
• Software
• Technology
• Natural Language Processing Scientist
• Natural Language Processing Engineer
• Software Developers
• Computer and Information Research Scientists

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