Postdoctoral Research Fellow in AI-assisted Clinical Informatics in University of British Columbia – Canada

Summary

The University of British Columbia is seeking a highly motivated Postdoctoral Research Fellow in AI-assisted Clinical Informatics and Federated Analysis in Gynecologic Cancers. The position is within the Uterine Health Research Lab, led by Dr. Aline Talhouk, a data-driven group focusing on applying innovative data science and AI approaches to improve cancer prevention, diagnosis, treatment, and patient outcomes. The role involves developing and deploying AI-powered analytics infrastructure, leading multi-omics data integration, and creating interactive visualization and clinical decision support tools for gynecologic cancers. The successful candidate will also build and evaluate RAG-based large language models and contribute to scientific publications and grant applications. The position offers an annual salary of $70,000 – $80,000 plus benefits, with a contract duration until November 30, 2027. The application deadline is October 15, 2026.

Key Facts

Department	Talhouk Laboratory, Department of Obstetrics Gynaecology, Faculty of Medicine
Position Type	Postdoctoral Research Fellow
Discipline	Health Data Science, Bioinformatics, Artificial Intelligence
Research Area	AI-assisted Clinical Informatics, Federated Analysis, Gynecologic Cancers, Uterine Health, Computational Biology, Predictive Modelling, Multi-omics Data Integration
Degree Required	PhD in computer science, clinical informatics, statistics or a closely related field
Experience	Demonstrated experience in health data visualization, interactive dashboard development, or clinical data tool design; experience benchmarking computational tools and interpreting performance metrics; experience with structured and unstructured data; strong understanding of machine learning or AI methods applied to health or biomedical data; demonstrated ability to assess model outputs and iteratively refine analytical approaches; experience contributing to manuscripts or scientific reports; ability to work independently and manage complex multi-partnership projects.
Salary	$70000 – $80000 per year plus benefits
Contract Duration	Until November 30, 2027
Deadline	2026-10-15
Employer Contact	Lygia Siqueira, [email protected] (for accommodation requests); [email protected] (for general accessibility inquiries)

About the Project

The research project focuses on developing and deploying AI-powered analytics infrastructure for gynecologic cancer research. This includes leading the development of multi-omics data integration, interactive visualization tools, and AI-assisted clinical decision support tools. A key component involves building and evaluating retrieval-augmented generation (RAG)-based large language models (LLMs) pipelines to extract entities, relationships, and concepts from literature, clinical trials, and treatment guidelines, transforming them into structured knowledge graphs. The project also involves designing an AI-powered analytics dashboard for synthesizing distributed aggregate outputs from an international multi-site research network, enabling clinician-ready interpretation of findings across rare gynecologic cancer subtypes. Iterative co-design with clinicians and patient partners will ensure usability and clinical relevance.

Key Responsibilities

• Develop interactive visual dashboards and exploratory data analysis tools for multi-omics and clinical data.
• Design and develop an AI-powered analytics dashboard for synthesizing distributed aggregate outputs from an international multi-site research network.
• Build and evaluate retrieval-augmented generation (RAG)-based large language models (LLMs) pipelines to extract key entities, relationships, and concepts from literature, clinical trials, and treatment guidelines.
• Transform extracted information into structured knowledge graphs encoding relationships among histotypes, biomarkers, therapies, and outcomes.
• Assess the accuracy, completeness, and usability of AI-generated outputs, iteratively refining pipelines and methods.
• Conduct iterative co-design with clinicians, member investigators, and patient partners to ensure usability and clinical relevance of developed tools.
• Contribute to manuscripts, grant applications, conference presentations, and knowledge translation activities.
• Mentor junior trainees and research staff within the lab.

Required Skills

• PhD in computer science, clinical informatics, statistics or a closely related field conferred within the past five years.
• Demonstrated experience in health data visualization, interactive dashboard development, or clinical data tool design.
• Excellent programming skills (e.g., Python, R) with hands-on experience in Bash scripting, workflow management (Snakemake), LLMs, text mining, or knowledge graph construction (e.g., LangChain, Hugging Face, Neo4j or equivalent).
• Experience benchmarking computational tools and interpreting performance metrics.
• Experience with structured and unstructured data, including parsing and processing large document corpora.
• Strong understanding of machine learning or AI methods applied to health or biomedical data.
• Demonstrated ability to assess model outputs, identify gaps, and iteratively refine analytical approaches.
• Excellent written and oral communication skills, including experience contributing to manuscripts or scientific reports.
• Demonstrated ability to work independently and manage complex multi-partnership projects.

Who Should Apply

This position is ideal for a highly motivated Postdoctoral Fellow with a PhD in computer science, clinical informatics, statistics, or a closely related field, conferred within the past five years. Candidates should have a strong background in health data science, bioinformatics, or artificial intelligence, with demonstrated experience in health data visualization, interactive dashboard development, and clinical data tool design. Excellent programming skills in Python or R, experience with Bash scripting, workflow management, LLMs, text mining, or knowledge graph construction are required. The role is suited for individuals who can work independently, manage complex multi-partnership projects, and are committed to employment equity and inclusive excellence.

Benefits

• Benefits package included with salary.
• Access to an international network of clinical and scientific collaborators.
• Opportunity to work within a world-leading interdisciplinary team (BC Gynecologic Cancer Initiative).

About the Employer

The University of British Columbia (UBC) is one of the world's leading universities, committed to fostering global citizenship, advancing a civil and sustainable society, and supporting outstanding research. The Faculty of Medicine is ranked among the world's top medical schools, with a large MD enrollment, and is a leader in both the science and practice of medicine. It comprises 19 academic departments, three schools, and 24 research centres and institutes. The Uterine Health Research Lab, led by Dr. Aline Talhouk, is a data-driven research group at the intersection of uterine health, gynecologic oncology, computational biology, clinical informatics, and artificial intelligence.

Frequently Asked Questions

What is the duration of this postdoctoral position?

The position is expected to end on November 30, 2027.

What is the expected salary for this position?

The expected pay range for this position is $70,000 – $80,000 per year, plus benefits.

What are the key responsibilities of the Postdoctoral Fellow?

Key responsibilities include developing interactive visual dashboards, designing AI-powered analytics dashboards, building and evaluating RAG-based large language models, assessing AI-generated outputs, conducting co-design with clinicians, contributing to publications, and mentoring junior trainees.

What qualifications are required for this position?

Applicants must have a PhD in computer science, clinical informatics, statistics, or a closely related field, conferred within the past five years, along with demonstrated experience in health data visualization, programming skills (Python, R), and understanding of machine learning/AI methods.

What documents are required for the application?

Applicants must provide a cover letter (2-page maximum), a full CV with publications, and the names and contact details for three professional references.

Who should I contact for accommodation requests during the recruitment process?

For accommodation requests, you should contact Lygia Siqueira via email at [email protected].