Bioinformatics Analyst

Public Health Ontario
Toronto, ON, Canada
Job Type:
  • Programmer/Developer
Degree Level Required:
Apply Now

Bioinformatics Analyst

Title: Bioinformatics Analyst Program: Toronto Public Health Laboratory Job ID: 17-0296

Organizational Overview

Great people, exceptional teams building a stronger Public Health Ontario.

We are Public Health Ontario (PHO). We live our values as a shared promise to each other, our clients and our partners. We value credibility, innovation, responsiveness, collaboration, integrity and respect.

With our partners in Ontario’s health system, we monitor and address the needs of the population by providing the scientific evidence and expert guidance that shapes policies and practices for a healthier Ontario. With locations across Ontario, we are working to ensure that Ontario has the strongest public health system in the world so that every day Ontarians wake up in one of the safest places to live in the world.

For more information about PHO, visit

Position Details

Position Title Bioinformatics Analyst Department: Toronto Public Health Laboratory Duration: Temporary, Full-Time (6 month contract) Location: 661 University Ave. Compensation Group: AMAPCEO Position Status: OPEN Salary: $55,070 to $77,100 Posting Date: August 3, 2017 Closing Date: August 16, 2017

Position Summary:

To provide technical and computational support for research and clinical operations with a focus on software development and management, quality control, analysis, transformation, visualization, and presentation of data. The clinical and research projects are a mix of short-term support tasks and long-term goals. Support tasks and methods may eventually transition into standardized workflows.


  • Provides support to researchers and clinicians in several bioinformatics domains such as sequencing (WGS/exome sequencing, RNA-seq, ChIP-seq and other OMICS technologies), genome assembly, annotation, variant analysis, comparative and population genomics, functional genomics, metagenomics, phylogenomics and in implementation of analyses into reproducible workflows
  • Provides support in public health data management in creating and maintaining databases, data warehouses and data marts
  • Provides support simultaneously to different projects and meeting deadlines, frequently in collaboration with other cores and research groups.
  • Assist in maintaining tools and scientific libraries on Unix-based servers and develop analysis pipelines in Galaxy and/or in other workflow management systems
  • Provides support to users on a daily basis, assembling training materials (e.g. writing of wiki-based documentation/how-to) and organizing tutorials
  • Other duties as assigned


Knowledge and Skills:

  • Expertise in conducting data analysis in the Next Generation Sequencing (NGS) data including data quality assessment, genome re-alignment, assembly and annotation, variation identification and characterisation, metagenomics, phylogenomics and comparative genomics
  • Highly skilled in scripting (Shell, Perl and Python), object-oriented programming (Java, C++ and Ruby), database administration (MySQL and PostgreSQL) and database development
  • Experience working in High Performance Computing clusters and cloud infrastructures
  • Knowledge in Big-Data platforms including NoSQL databases, Hadoop and associated technologies
  • Knowledge of Laboratory Information Systems and integrating those in support of bioinformatics clinical frameworks

Education and Experience:

  • Undergraduate degree in bioinformatics and/or computer science from an accredited university with 2-3 years of experience OR equivalent related education and experience
  • Specialized training in genomics, molecular biology and/or microbiology and knowledge of statistics, epidemiology and public health

Attributes and Competencies:

  • Written communications skills to write technical reports, contribute towards scientific manuscripts and to create and maintain standard operating procedures
  • Oral communications skills to work with team colleagues in response to requests and directions in the analysis of data
  • Oral communication and interpersonal skills maintain linkages with external laboratories to facilitate collaboration