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Mona Parizadeh

Ph.D., Microbial Data Analyst

Talent
Calgary, CanadaMember since July 1, 2026
SlurmData curationReproducible workflowsggplot2Publication-ready figuresEarly-life gut microbiome
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SlurmData curationReproducible workflowsggplot2Publication-ready figures

About

Microbial data analyst with over six years of experience using R to analyze complex microbiome datasets, develop reproducible workflows, and collaborate with research teams across disciplines. Experienced in data curation, multivariate and regression-based analyses, data visualization using ggplot2, and supporting collaborators and trainees with statistical interpretation, coding, and scientific communication.

Experience

Postdoctoral Researcher - Arrieta Lab, Cumming School of Medicine, University of Calgary - Calgary, Canada

(2022-01)

  • Analyze early-life gut microbiome datasets in relation to environmental and host factors using R and other computational tools on high-performance computing clusters (ARC) with Slurm-based workflows, performing statistical analyses of diversity, community composition, co-occurrence networks, and functional profiles.
  • Curate, clean, and integrate microbial and clinical datasets, ensuring data quality, consistency, and clear documentation for downstream analysis.
  • Develop and adapt reproducible R-based workflows for microbiome and multi-omics analysis, and generate publication-ready figures and tables for manuscripts and presentations.
  • Support trainees and collaborators by explaining statistical methods, reviewing analyses, troubleshooting R and Bash code, and sharing best practices for data analysis and visualization.

PhD Researcher (Research Affiliate Program) - Agriculture and Agri-Food Canada - Saint-Jean-sur-Richelieu, Canada

(2016-01 - 2021-11)

  • Designed and led a multi-year field program assessing ecosystem-scale impacts of neonicotinoid pesticides on agricultural microbial communities.
  • Built and analyzed large datasets in R and other computational tools, using high-performance computing systems (Compute Canada and Calcul Québec), performing statistical analyses based on co-occurrence networks and community ecology methods.
  • Supervised and mentored trainees in field sampling, data processing, and analysis workflows.
  • Communicated findings to researchers, government stakeholders, and broader audiences through presentations and manuscripts.

Team Leader & Program Developer – Research Computing Bootcamp - University of Calgary & International Community of Iranian Academics (ICOIA) Online School - Online

(2025-03 - 2025-04)

Funded by Canada's Digital Alliance

  • Designed and led a one-month online research computing bootcamp focused on reproducible research workflows and basic data analysis skills for trainees and early-career researchers.
  • Developed materials and exercises to build reproducible research and computing skills in a remote setting.

Bioinformatics Intern - Kembel Lab, Université du Québec à Montréal (UQAM) - Montréal, Canada

(2015-07 - 2015-09)

  • Supported bioinformatics analyses and data processing in an academic research environment while completing formal training in bioinformatics.

Education

Ph.D.

  • Biological Sciences (Microbial ecology and bioinformatics) - Université du Québec à Montréal (UQAM) (2016-01 - 2021-11)

Master's non-Thesis (DESS) - Bioinformatics - Université du Québec à Montréal (UQAM) (2014-09 - 2015-08)

M.Sc.

  • Plant Biology (Comparative evaluation of studies done outside Québec) - Tehran University, Karaj, Iran (2007-09 - 2010-07)

Skills

Ph.D.Microbial Data Analyst

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