Bioinformatics Scientist

University of British Columbia • Vancouver, BC

1d • CA$6,439 - CA$9,256 • Onsite

About The Position

The Department of Pathology and Laboratory Medicine of the University of British Columbia has a position open immediately for a bioinformatics scientist to work within the Aparicio lab. Located at the BC Cancer Research Institute, within the Department of Basic and Translational Research; Molecular Oncology, our interdisciplinary team is comprised of over 30 researchers, research scientists, lab technicians, computational biologists, software developers and engineers. We are seeking a creative, experienced, and dedicated individual with experience in genomic and image data analysis to play a key research role in the bioinformatics analysis of computational genomic research data, applied to translational oncology and drug development. The bioinformatics scientist will work closely with other bioinformaticians and research scientists within the Aparicio Lab and other collaborative labs to carry out computational analysis and data exploration in projects addressing the molecular understanding of breast cancer through the analysis of single-cell genomics, spatial genomics, transcriptomics and imaging datasets. Following directions from the scientific research leads, you will carry out bioinformatics solutions to computational and statistical inquiries in support of research projects. You will be responsible for the production and analysis of data from automated high-throughput analysis pipelines. You will be responsible for the design, testing and development of new bioinformatics workflows for the lab. You will work on-site at BC Cancer Research Institute, working closely with software developers, students and researchers operating at the leading edge of the field of cancer genomics. The Aparicio Lab has made meaningful advances in the understanding of tumour evolution, translational oncology and drug development. Data, software platforms and computational methods developed in the lab will be used by world-leading scientists at BC Cancer and international collaborators to gain insight into how cancers initiate, develop and acquire resistance to treatment.

Requirements

• Post-graduate degree in Statistics.
• Minimum of two years of related experience in research analysis, or the equivalent combination of education and experience.
• Willingness to respect diverse perspectives, including perspectives in conflict with one’s own
• Demonstrates a commitment to enhancing one’s own awareness, knowledge, and skills related to equity, diversity, and inclusion

Nice To Haves

• Expertise with command-line interfaces and scripting in UNIX operating systems
• Expertise with handling next-generation sequencing (NGS) and imaging data
• Expertise with statistical modelling and the design of geospatial statistical software
• Excellent communicator and professionalism
• Experience designing and creating analysis workflows and pipelines
• Proven publication record and bioinformatics research experience
• Experience with scientific high performance computing environments
• Experience with large scale multi-omics research, specifically spatial genomics data in the form of Imaging Mass Cytometry, Expansion Sequencing, 10x Xenium platform and MERFISH
• Experience with human disease and cancer genomics

Responsibilities

• Conduct advanced bioinformatics analysis of single-cell genomics, spatial genomics, transcriptomics and imaging datasets generated by the Aparicio lab
• Own, develop, implement, test, and optimize bioinformatics workflows and computational pipelines for ongoing and emerging research initiatives
• Utilize programming, scripting, and command-line tools in high-performance computing environments to execute, troubleshoot, and enhance computational analyses of large-scale biological datasets
• Prepare and submit publications based on single cell spatial datasets
• Provide expert technical advice and guideline to trainees and other lab members on spatial single cell analysis
• Collaborate with internal and external research partners to coordinate data generation activities, curate research datasets, manage data submissions, and ensure successful delivery of computational analysis outcomes within project timelines.
• Participate in selection and training of co-operative education students that may join the lab

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level