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Research Assistant - Data Analysis - Job Opportunity at University of British Columbia

Vancouver, Canada
Full-time
Mid-level
Posted: March 23, 2025
On-site
CAD 65,000 - 85,000 per year based on Vancouver market rates for academic research positions with similar requirements

Benefits

Access to UBC's research infrastructure and computing resources
Opportunity to work with leading cardiovascular research team
Professional development through collaboration with industry experts
Experience with cutting-edge Omics technologies
Access to Canada's largest collection of explanted hearts for research

Key Responsibilities

Lead bioinformatics analysis of RNA-sequencing data using established pipelines
Develop and customize analysis pipelines for cardiovascular research
Generate publication-quality data visualizations
Present analysis results at laboratory meetings
Manage high-performance computing platforms
Support grant applications and research manuscripts
Contribute to spatial Omics pipeline development
Maintain data analysis protocols and documentation

Requirements

Education

Completed Master's Degree in Bioinformatics-related discipline

Experience

Minimum 2 years of research experience in RNA-sequencing data analysis

Required Skills

Proficient in R Competent in Python Critical thinking Strong sense of data quality control Ability to work effectively with wet-lab team members Well organized Open to suggestions Self-motivated to learn new analysis pipelines
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Sauge AI Market Intelligence

Industry Trends

The field of spatial transcriptomics and single-cell analysis is experiencing rapid growth, with increasing demand for specialists who can handle complex multi-omics datasets. Integration of clinical data with molecular profiling is becoming crucial in cardiovascular research, creating opportunities for bioinformaticians who can bridge bench to bedside. The convergence of AI/ML with traditional bioinformatics analysis is creating new methodologies for understanding disease mechanisms.

Role Significance

Part of a 9-person research team including PI, lab manager, postdoc, and students, typical for an emerging academic lab with substantial funding.
Mid-level position with significant technical autonomy but operating under strategic guidance. Role carries substantial responsibility for data quality and analysis integrity.

Key Projects

Single-cell RNA sequencing analysis of cardiovascular tissues Development of custom bioinformatics pipelines for spatial transcriptomics Integration of multi-omics data for cardiovascular disease research Biobank specimen data analysis and management

Success Factors

Strong foundation in both computational methods and biological understanding Ability to translate complex analyses into actionable insights for wet-lab colleagues Proactive problem-solving approach and independent work capability Excellence in data visualization and scientific communication

Market Demand

High demand with growing emphasis on computational biology skills in both academic and industry settings. The specialized nature of cardiovascular bioinformatics creates a niche market with strong career prospects.

Important Skills

Critical Skills

RNA-sequencing analysis expertise is fundamental as it forms the core of the lab's data generation R programming proficiency for implementing and customizing analysis pipelines Data visualization skills for generating publication-quality figures Understanding of cardiovascular biology for meaningful data interpretation

Beneficial Skills

Python programming for pipeline development Experience with spatial transcriptomics analysis Knowledge of high-performance computing environments Machine learning application in biological data analysis

Unique Aspects

Access to Canada's largest collection of explanted hearts through the Bruce McManus Cardiovascular Biobank
Integration with clinical research through strong hospital partnerships
Opportunity to contribute to novel therapeutic developments in cardiovascular medicine
Exposure to cutting-edge spatial omics technologies

Career Growth

2-3 years in role typical before advancement, with potential for faster progression based on publications and pipeline development contributions

Potential Next Roles

Senior Bioinformatics Scientist Computational Biology Team Lead Research Associate Independent Investigator

Company Overview

University of British Columbia

UBC is one of Canada's top research universities with a strong focus on life sciences and translational research

Leading academic institution with robust research funding and international collaborations
Major employer in Vancouver's biotechnology and research sector with strong ties to healthcare industry
Academic environment fostering innovation and collaboration, with emphasis on equity, diversity, and inclusion
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