Bioinformatics/Data Science Analyst

University Health Network • Toronto, ON

19h • CA$35 - CA$53 • Onsite

About The Position

A Senior Bioinformatics Analyst position is available in Toronto, Canada, in the laboratories of Dr. Tomohiro Aoki and Dr. Robert Vanner at the Princess Margaret Cancer Centre, University Health Network; one of the top five cancer research centers in the world. The research focus is basic/translational research in cancer immunology and cancer genomic field in the lymphoid malignancy and clonal hematopoiesis. With access to our world-class computational infrastructure, and in collaboration with world-leading scientists locally and abroad, the successful candidate will help organize, plan, analyze, and interpret the results from a variety of exciting large genomic cohort analyses that are currently ongoing.

Requirements

• B.Sc., M.Sc. or Ph.D. in bioinformatics, computer science or recognized equivalent in Health and or Science-Related Discipline or a related field
• At Minimum, 1 years related experience r
• Programming skills in R, Python, BASH, TensorFlow or similar.
• Experience working in a Linux environment and the use of high-performance computing systems (i.e. Slurm) for analyzing large datasets
• Adhering to best practices for software development (version control, GitHub)
• Demonstrated exposure to NGS data analysis and datatypes (FASTQ, BAM, VCF, etc) including analysis of targeted, exome or genome sequencing data
• Team oriented with excellent written and verbal communication skills.
• Ability to work effectively in a collaborative research environment
• Solid skills in statistical analysis (ANOVA, regression, clustering, phylogenetics, survival).
• Excellent communication skills
• Willingness to work in a team environment

Nice To Haves

• Hands-on experience with cancer genomic analyses including WGS, RNA-seq, ATAC-seq, single cell RNA-seq, or similar, is preferred
• Experience in cancer genomic study preferred
• Training in statistics or machine learning preferred.
• Experience in mentoring students and junior researchers
• Experience with machine learning and data modelling is an asset

Responsibilities

• Design and execute experiments to study the pathogenesis, molecular mechanism and treatment resistance mechanism, and tumor-microenvironment interaction in lymphoid malignancy
• Analyze and interpret molecular analyses from DNA/RNA sequencing data (including single cell sequencing, whole genome sequencing, circulation tumor DNA analyses, methylation profiling)
• Analyze and interpret spatial analyses (e.g. protein level and transcriptional level)
• Develop and oversee high-throughput data pipelines, including data from many new single-cell technologies such as scRNA-seq, scATAC-seq, scMultiome-seq, and Visium/CosMx spatial transcriptomics.
• Analyze any sequencing data using established pipelines.
• Develop new computational methods to integrate and interpret multi-omics data.
• Assist and collaborate with internal and external researchers in interpretation of sequencing data.
• Contribute to the codebase, development, and support of open-source software packages.
• Help to manage lab servers and computational infrastructure.
• Document and present results in written or oral reports to other lab members.
• Work collaboratively with other research team members and external collaborators.
• Participate in multidisciplinary projects combining biochemistry, structural biology, and computational methods
• Stay updated with the latest research in cancer genomics, cancer immunology and lymphoma biology.
• Review and summarize relevant scientific literature to inform experimental design and data interpretation
• Prepare manuscripts for publication in scientific journals
• Present research findings at national and international conferences, seminars, and workshops
• Assist in writing grant proposals to secure funding for ongoing and future research projects.
• Mentor and supervise graduate and undergraduate students involved in related research projects
• Provide guidance on experimental techniques and data analysis

Benefits

• Competitive offer packages
• Government organization and a member of the Healthcare of Ontario Pension Plan (HOOPP)
• Close access to Transit and UHN shuttle service
• A flexible work environment
• Opportunities for development and promotions within a large organization
• Additional perks (multiple corporate discounts including: travel, restaurants, parking, phone plans, auto insurance discounts, on-site gyms, etc.)

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Education Level: Ph.D. or professional degree