The Edwin S. H. Leong Centre for Healthy Aging (ELCHA) at the University of British Columbia is pleased to announce a new career opportunity supporting the Canadian Microbiome Mapping Initiative (CMMI). We are currently seeking an outstanding candidate for a full-time role contributing to the development of an integrated multi-omics platform designed to investigate how the microbiome influences health and disease.
CMMI is a large, collaborative research initiative involving investigators from ELCHA, multiple UBC research centres, and external partners. The project aims to advance understanding of the biological mechanisms linking the microbiome to human health, including healthy aging and clinical applications beginning with Parkinson’s disease.
To support this work, ELCHA is recruiting for either a Postdoctoral Research Fellow or a Data Analyst, depending on the experience, background, and funding associated with the successful candidate.
Working closely with investigators, bioinformaticians, and research staff across participating laboratories, the individual hired will support the design and implementation of reproducible pipelines for multi-omics data integration and analysis, coordinate technical data activities across research groups, and contribute to statistical and computational analyses exploring relationships between the microbiome, multi-omics datasets, and human health.
Under the supervision of CMMI PI Dr. Michael Kobor, and with scientific and technical guidance from Dr. Emilia Lim and the CMMI Data Analysis and Integration Committee, the candidate will contribute to data analysis, data integration, and interpretation across diverse datasets. The role also includes collaborating with multidisciplinary teams to ensure data quality, develop analytical workflows, and support the interpretation and dissemination of research findings.
The successful candidate will contribute to the integration and analysis of a rapidly expanding dataset involving more than 600 participants. This work will support high-impact research exploring the microbiome’s role in aging and disease while helping to build a scalable data platform for future discovery.
- Postdoctoral Research Fellow:Â The Postdoctoral Research Fellow will lead analytical strategy and multi-omics data integration, developing and refining computational pipelines while contributing to study interpretation and scientific publications. Candidates should hold a PhD in bioinformatics, computational biology, statistics, computer science, or a related field, with experience in reproducible workflows, pipeline development, and AI/ML-based analysis. The role includes mentoring trainees, presenting research at international conferences, and contributing to grant applications and manuscripts. The fellow will benefit from mentorship and collaboration with leading experts across UBC and ELCHA, supporting career development and opportunities for future funding.
- Data Analyst: The Data Analyst will support the development and maintenance of multi-omics data integration pipelines and contribute to computational analyses across project datasets. Candidates should hold a Master’s degree in bioinformatics, computational biology, statistics, computer science, or a related field, with experience in data integration, pipeline development, and computational analysis. Familiarity with multi-omics datasets and AI/ML analytical approaches is preferred. The role involves collaborating with multidisciplinary teams to ensure data quality, workflow implementation, and effective data analysis across the initiative.
The position will be full-time (100% FTE) for a one-year term with the possibility of extension, and will be based at the Edwin S. H. Leong Centre for Healthy Aging on the UBC Vancouver campus, with the possibility of a hybrid work arrangement.
How to Apply:
Applicants can view the full job posting and submit their application through Workday using the links provided below:
We encourage qualified candidates interested in advancing cutting-edge microbiome and multi-omics research to apply.
