Data Analyst - Tech 4 (AESES)

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 - rizza.reyes@umanitoba.ca **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. * Strong 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 identi