Department of Microbiology Faculty of Science

Position number: 38389 Date posted: November 3, 2026

Job details

Data Analyst - Tech 4 (AESES) Project Part-Time (Grant Funded)

Full-time: No

Permanent: No

Work schedule: 0-35 variable hours/week

Salary: $26.20 to $37.62 per hour plus vacation pay

Appointment Dates November 23, 2026 to May 11, 2027

Trial/Probation period: 840 hours worked For more information please contact: Rizza Reyes - [email protected]

Qualifications

MINIMUM FORMAL EDUCATION/TRAINING:

- Master’s degree in microbiology is required.

EXPERIENCE:

- Experience in microbiology and/or bioinformatics required.
- Experience in computational analysis and interpretation of biological or sequencing data required.
- Experience with multi-omics analysis considered an asset.
- Experience in scientific writing, including preparation of research reports or manuscripts, considered an asset.
- An acceptable equivalent combination of education and experience may be considered.

SKILLS AND ABILITIES:

- Knowledge of microbiology and biological research methods is required.
- Ability to analyze, integrate, and interpret biological datasets using appropriate computational and bioinformatics tools is required.
- Expertise required in R, Tidyverse, Bioconductor, Linux, Bash, high-performance computing clusters, Compute Canada Trillium Server, GATK, DELLY, VCFshiny, rMATS, FAScore, DESeq2, ClusterProfiler, and mixOmics is required.
- Ability to process, analyze, and interpret sequencing data using appropriate bioinformatics and computational tools is required.
- Solid analytical, critical-thinking, and problem-solving skills required.
- Strong scientific writing skills, including the ability to prepare, revise, and finalize research manuscripts, is required.
- Ability to work independently,



manage assigned research activities, and meet established deadlines is required.
- Strong organizational skills and attention to detail to ensure accuracy in data analysis and documentation required.
- Ability to communicate research findings clearly and collaborate effectively with supervisors and research team members is required.
- Willingness and ability to learn new analytical tools, techniques, and research methodologies is required.
- Satisfactory work record, including reliability, punctuality, and consistent attendance required.

Key responsibilities

Bioinformatics, Computational and Multi- Omics Data Analysis

- Conduct bioinformatics and computational analysis of biological and sequencing datasets using appropriate analytical tools and established research methods.
- Process, organize, assess, and interpret datasets to support research questions and objectives identified by the supervisor and research group.
- Integrate results from multiple types of omics data, applying appropriate computational approaches to identify and evaluate biologically relevant patterns and findings.
- Use appropriate statistical, programming, and bioinformatics tools to carry out analyses, document methods, and support accurate and reproducible interpretation of results.
- Review analytical outputs for quality, identify data or methodological issues, troubleshoot within the scope of the role,



and consult with the supervisor or research team on matters requiring scientific direction.

Scientific Writing and Manuscript Writing
- Prepare and write scientific manuscript drafts based on research findings, analyses, and direction provided by the supervisor and research group.
- Develop clear descriptions of analytical methods and results, and prepare supporting text, tables, and figures as needed for scientific manuscripts.
- Revise manuscript drafts to address feedback from the supervisor and research group, ensuring clarity, accuracy, consistency, and appropriate presentation of research findings.
- Review and finalize manuscripts and related materials for submission to the supervisor.
- Other duties as assigned.

Additional information

The University of Manitoba is committed to the principles of equity, diversity & inclusion and to promoting opportunities in hiring, promotion and tenure (where applicable) for systemically marginalized groups who have been excluded from full participation at the University and the larger community including Indigenous Peoples, women, racialized persons, persons with disabilities and those who identify as 2SLGBTQIA (Two Spirit, lesbian, gay, bisexual, trans, questioning, intersex, asexual and other diverse sexual identities).

If you require accommodation supports during the recruitment process, please contact [email protected] or (phone hidden). Please note this contact information is for accommodation reasons only.

Application materials, including letters of reference, will be handled in accordance with the protection of privacy provisions of "The Freedom of Information and Protection of Privacy Act" (Manitoba). Please note that curriculum vitae will be provided to participating members of the search process.

📌 Data Analyst (Winnipeg)
🏢 University of Manitoba
📍 Winnipeg