Research Scientist

Staff
- Non Union Job Category M&P - AAPS Job Profile AAPS Salaried
- Research and Facilitation, Level B

Job Title:

Research Scientist

Department:
Kobor Laboratory | Centre for Molecular Medicine and Therapeutics | Faculty of Medicine

Compensation Range: $6,949.92 - $9,992.50 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:
August 6, 2026.

Note:

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

Job End Date:
August 15, 2027. This position is expected to be filled by promotion/reassignment and is included here to inform you of its vacancy at the University.

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.

The Kobor Lab is seeking a highly motivated, ambitious, and senior Research Scientist to provide strategic, technical, and operational leadership across our diverse research portfolio. Operating with a high degree of autonomy, the successful applicant will assume full accountability for leading and managing multiple funded research streams. This includes overseeing project workplans, establishing timelines and protocols, directing resource allocation, and resolving complex scientific and operational issues.

Current key streams within this portfolio include multi-cohort human population studies investigating the genomic embedding of life experiences across the lifespan, as well as cell-based simulation studies examining molecular marks associated with environmental exposures. The incumbent will be responsible for the technical direction and execution of high-dimensional data generation (genotyping, DNA methylation, proteomics, and mRNA expression) and the strategic oversight of integrative bioinformatic analyses combining these datasets with phenotype and environmental exposure data.

As a senior leader within the laboratory, the ideal applicant will possess a proven track record of managing independent and collaborative research streams, alongside a deep expertise in statistical genomics, epigenetics, and gene regulation. Beyond technical execution, this role requires a candidate who can effectively supervise and mentor research staff and trainees, coordinate with international collaborators, and ensure the successful delivery of high-throughput data generation and complex bioinformatics pipelines.

• Leads the planning, organization, implementation, and delivery of assigned funded research projects or research streams, including developing and managing workplans, timelines, milestones, protocols, budgets, resource requirements, project documentation, and deliverables.
• Designs, performs, and evaluates data quality of bench-based high-throughput microarrays (DNA methylation, genome-wide SNP typing) studies.
• Provides scientific and technical guidance to collaborators regarding sample collection, sample preparation, assay selection, study design considerations, data generation requirements, and quality control expectations to ensure successful execution of experiments.
• Reviews current literature, evaluates emerging methodological developments, and recommends, develops, and implements new or revised sequencing-based, proteomic, transcriptomic, and multi-omic approaches to support assigned research objectives and enhance the lab’s technical and analytical capacity.
• Manages, trains, and supervises research technicians in microarray and sequencing-based sample processing.
• Performs, oversees, and interprets complex statistical and bioinformatics analyses of high-throughput epigenomic, genotyping, sequencing, proteomic, transcriptomic, phenotype, and environmental exposure data; identifies associations between molecular profiles, environmental exposures, stress, disease, development, and health outcomes in human and cell-based studies.
• Provides senior-level scientific and technical guidance to collaborators, lab members, and project teams across CMMT, UBC, and BCCHRI on the application of bioinformatics and epigenomic approaches, including resolving complex analytical, methodological, and data interpretation issues across model systems and population-scale studies.
• Acts as project lead for assigned local, national, and international collaborations, including coordinating research activities, setting project expectations, facilitating meetings, tracking…