Bioinformatics Postdoc - human cohort data harmonization and analysis

Institution/Company:
Simon Fraser University
Location:
Metro Vancouver, BC, Canada
Job Type:
  • Postdoctoral
Degree Level Required:
PhD
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Bioinformatics Postdoc - human cohort data harmonization and analysis

The Brinkman lab at Simon Fraser University (www.brinkman.mbb.sfu.ca) is leading data integration for the Canadian CHILD Study (CHILDdb.ca; Canadian Healthy Infant Longitudinal Development Study), the largest, richly phenotyped birth cohort in Canada, and is also leading Canadian data harmonization efforts with European and African cohorts for the international CINECA project starting up this year (www.CINECA-project.eu; Common Infrastructure for National Cohorts in Europe, Canada, and Africa; a collection of 1.4 million individuals). This brings together an unprecedented diversity and scale of cohort microbiome/genome/epigenome data and metadata, including linking such data better to environmental exposure variables and health outcomes (such as CANUE data recently integrated; https://canue.ca/ and linking to allergic disease outcomes). This postdoc is suitable for a researcher who is self-driven and a team player who wishes play a lead role in these projects, while expanding their international network of collaborators, and capitalizing on these efforts to perform select analyses.

At the Brinkman lab we are committed to providing a positive research/working environment supporting growth and flexibility. Simon Fraser University is located in a beautiful conservation area in metro Vancouver with access to a wide range of recreational opportunities.

We are looking for an exceptional candidate, so the position will remain open until filled. Salary is based on experience and is very competitive.

Responsibilities:

You will be leading specific aspects of human cohort data harmonization, in particular microbiome data and metadata, working with an interdisciplinary team of software developers and trainees enabling more sophisticated machine learning, visualization, and statistical analyses of the data. This project involves collaboration (and occasional travel) across Canada, in particular with Sick Kids Hospital in Toronto, and also internationally, in particular with the EBI (European Bioinformatics Institute) near Cambridge, UK. You will also be performing select, targeted analyses of integrated data, which may be shaped to suit interests.

Qualifications:

Ph.D. in a relevant biological, bioinformatics, or computational biology discipline, plus demonstrated experience in relevant research. This position is suitable for a researcher with strong leadership and organizational skills, and some microbiome analysis or ontology development experience, with an interest in machine learning or statistical data analysis.

  • How to Apply

    Please forward a cover letter with a copy of your CV, noting start date(s) you’d prefer and contact information for two references, to the email address brinkman-jobs@sfu.ca, QUOTING THE JOB CODE “BRI-2019CHILD1b” IN THE SUBJECT LINE OF YOUR EMAIL. We thank all applicants, but regret that only those chosen for an interview may be contacted further.