Bioinformatics Analyst

Data Analysis Support and Services:

• Perform customized bioinformatics analysis work and prepare related visualizations and reports. Ensure computational workflows meet project-specific timelines, scientific standards, and contract obligations.
• Lead the design and implementation of innovative computational pipelines to conduct analysis of genomics, single-cell RNA-sequencing, and spatial transcriptomics data using common workflow engines. Package the analysis pipelines using container technologies. Test and deploy analysis workflows on computing cluster and cloud environments.
• Collaborate with research teams and software engineers to design experiments and computational analysis plans, analyze and visualize data, and interpret results.
• Assist users with data visualization and interpretation, supporting researchers in understanding complex datasets.
• Establish data quality assurance standards for computational pipelines, including accuracy, reproducibility, and scalability.
• Develop tracking mechanisms and maintain project documentation to ensure delivered analyses and visualizations are scientifically rigorous and reproducible.
• Assist with the management of internal core facility databases to ensure research security and data quality.

Training and Education:

• Collaborate with the Director to design modules and deliver training via workshops, summer courses, and undergraduate/graduate lectures.
• Provide professional expertise and technical guidance to help trainees select tools, apply bioinformatics solutions, and interpret genomic results.

Administration and Organization:

• Prepare project quotes, service cost estimates, and assist leadership with cost analysis and service pricing.
• Manage several analysis projects at the same time and accurately track and report time spent on different assignments.

• Minimum BSc in computer science, bioinformatics, or computational biology. Candidates with a BSc in cell biology, genetics, or biomedical sciences with additional relevant bioinformatics experience or certification will be considered. Advanced degree (MSc or PhD) preferred.
• Documented prior experience analyzing genomics and high-throughput sequencing data including quality control, normalization, clustering, and trajectory inference.
• Demonstrated experience with integrating datasets, data visualization and interpretation.
• Experience integrating imaging and omics data sets is an asset.
• Demonstrated ability in R or other similar statistical programming languages for biological data analysis and visualization is required.
• Proficiency in at least one of the following: Java, Python, and JavaScript and ability to write shell scripts to automate tasks. Experience running jobs in an HPC environment.
• Familiarity with workflow management systems such as Nextflow is a strong asset.
• Strong analytical skills and a solid foundation in statistical analysis is an asset.
• Demonstrated ability to work in a team environment and strong customer service skills for interacting with researchers, facilitating collaboration and service delivery is required.
• Familiarity with laboratory techniques and data management, ensuring inappropriate data can be detected before starting analysis.
• Demonstrated experience in managing priorities and setting realistic expectations is required.
• Attention to detail, excellent oral and written communication skills and ability to organize, analyse and communicate scientific data is required.
• Must have good technical writing skill to document code and applications.
• Experience in lecturing at workshops, tutoring students or official teaching experience is an asset.
• Demonstrated ability to work independently in a multi-tasking and multi-disciplinary environment to support a variety of bioinformatics and data science-related projects.