Statistical and Bioinformatics Research Assistant

Centre of Molecular Medicine and Therapeutics, Department of Medical Genetics, University of British Columbia
Vancouver, BC, Canada
Job Type:
  • Staff (Full time; One Year (renewable))
Degree Level Required:
Bachelor's, M.Sc. or higher preferred
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Statistical and Bioinformatics Research Assistant

This position in the Kobor Lab focuses on interdisciplinary epigenetic research in human populations as it relates to environmental exposures and health outcomes across the lifespan. It offers a unique opportunity for somebody interested in the interface between molecular biology and various disciplines such as psychology, psychiatry, epidemiology, and child health. This is a research-oriented position in which advanced statistical skills are required. The successful applicant will perform statistical analyses of high-throughput epigenomics and genotyping data (from technologies such as DNA microarrays, next-generation sequencing, and pyrosequencing) to facilitate the interpretation of associations between molecular data with environment, stress and disease.

The person hired will be immediately integrated into the present team, which currently includes students and staff trained in every step of DNA methylation analysis from human samples. The incumbent will be expected to work well within this team, and assist with keeping the high standards of analysis currently being set by the Kobor lab. The position will provide opportunities to lead projects toward publication and attend national and international conferences.


• Use bioinformatics and statistical approaches to perform epigenome wide association studies between DNA methylation and variables such as early life social status, environmental exposures and disease; • Integrate DNA methylation and genotyping array data; • Maintain and continually improve data analysis pipelines for DNA methylation and genotyping array data; • Coordinate and communicate project goals with internal and external collaborators; • Compile data in study report preparation, present results, and participate in the preparation of scientific manuscripts; • Create figures and tables suitable for publication in conjunction with research staff; • Maintain up-to-date knowledge of published methods, investigate suitability of novel methods, and if applicable adapt those methods to current workflows; • Design and write standard procedures for developed methodology; • Assist research staff with analysis questions and problems; • Troubleshoot analysis and optimize the application of the analysis to a specific project; • Participate in weekly lab meetings; • Perform other related duties as required.


• University degree in relevant field (genetics, computational biology, bioinformatics, bio-statistics) required, M.Sc. or higher preferred • A minimum of two years practical experience in analysis of large data sets • Advanced knowledge of programming language and scientific data processing required (e.g. R, R-studio or Python) • Experience with cluster computing and working in a Unix environment would be an asset • Experience working in academic research would be an asset • Excellent teamwork and communication skills • Proven ability to multi-task in a deadline oriented environment, while remaining flexible and responsive to changing needs • Excellent organizational skills, thoroughness, accuracy and attention to detail • Ability to exercise tact, diplomacy, discretion, and confidentiality.

  • How to Apply

    To apply, please email your CV and Cover Letter to and