Salary Range: $90,770-$130,481/year. The starting salary for this position would be determined with consideration of the successful candidate’s relevant education and experience, and would be in alignment with the provincial compensation reference plan. Salary will be prorated accordingly for part time roles.

Job Summary:

In accordance with the Purpose, Vision, Values and Coast Salish Teachings, and strategic directions of PHSA, safety, including both patient and employee safety, is a priority and a responsibility shared by everyone at PHSA. As such, the requirement to continuously improve quality and safety is inherent in all aspects of this position.

Reporting to the Director of Laboratory Operations, the Bioinformatician collaborates with a multidisciplinary team of clinical scientists, genomics specialists, technologists, and operational staff in the Cancer Genetics and Genomics Laboratory and oversees the implementation and maintenance of bioinformatics software, databases, annotation tools, and automated workflows. The Bioinformatician works with the team to identify and apply genetic bioinformatics tools, mine databases, adapt existing software, and optimize data analysis methods for the analysis of clinical genetics testing data, as well as develop and manage a database in support of the laboratory’s workflow. The Bioinformatician processes and analyzes genomic data, contributes to the development of reproducible and automated analysis pipelines, and creates interfaces between laboratory instrumentation, laboratory information management system (LIMS) platforms, and downstream analytical tools.

Duties/Accountabilities:

• Oversees the implementation, maintenance, and customization of existing informatics resources, including software and databases, and visualization and compilation of genetic variant lists. Develops and optimizes standard operating workflows, with the introduction of automation where possible ensuring quality is maintained.
• Develops and supports interfaces between laboratory instruments, robotics platforms, and LIMS platforms, enabling smoother data flow, reducing manual transcription, and improving reliability.
• Enables clinical test development and validation activities by preparing datasets, generating summary statistics, automating analyses, and preparing data summaries for accreditation and ongoing quality assurance.
• Monitors relevant scientific literature and investigates potential enhancements to the bioinformatics pipeline.
  Conducts periodic review of outcome measures and assists with the preparation of laboratory quality reports.
• Collaborates with Provincial Digital Health and Information Services (PDHIS) to develop and maintain the required computing infrastructure, including ensuring adequate protection of sensitive research participant data.
• Submits data on identified sequence/copy number variants and clinical data to relevant internal and external databases
  
  

Qualifications:

• A level of education, training and experience equivalent to a PhD degree in Human Genetics, Bioinformatics, Computational Biology or Molecular Biology, with two (2) years of recent research training. Education and experience in the area of human genome analysis, including quality assurance required.
• Demonstrated experience in human genome analysis, including quality assurance of each step in a process.
• Demonstrated experience with programming languages, such as R, Python, Bash, Java, or their derivatives, and proven ability to learn new languages if needed.
• Experience with Linux, UNIX, Mac OS X and Windows based systems.
• Experience with version control management tools such as Git, and workflow management systems such as Nextflow, Snakemake, or similar platforms for building reproducible analysis pipelines.
• Excellent communication skills (both verbal and written) with individuals across diverse backgrounds and areas of expertise.
• Demonstrated interpersonal skills and ability to work collaboratively with individuals at all levels throughout the organization. Excellent time management and organizational skills.
• Demonstrated ability to anticipate and respond to the needs of partners.
• Ability to handle multiple concurrent tasks.
• Proven experience implementing computational algorithms, statistical analysis methods, data analysis software and database resources for custom analysis and building workflows.