Job Title: Bioinformatician

Department: Research and Development

Location: 101 College Street, Toronto, Ontario, Canada

Salary: Based on level of experience

About Geneseeq

Geneseeq is a health solutions company that specializes in personalized cancer care and aims to provide treatment solutions based on the comprehensive analyses of patients’ genomic profile. The company is translating scientific knowledge into the well-being of the patients. Its mission is to bring precision cancer care to patients through the combination of next-generation sequencing (NGS) and up-to-date cancer knowledge base. Geneseeq is currently headquartered both in Toronto, Ontario, Canada, and Nanjing, Jiangsu, China, with more than 1500 employees.

Position Description

We are seeking a highly motivated Bioinformatician in the Department of Research and Development. The successful candidate will focus on the analysis of large NGS datasets with in-depth knowledge of data-handling and sufficient knowledge of cancer genomics. This position will provide ample opportunities for professional development and the acquisition of cutting-edge skills in basic and translational cancer genomics research, research planning and strategy, and data analysis and interpretation.

Responsibilities include:

• Applies bioinformatics methods to process cancer NGS data;
• Conducts various statistical analyses to discover relationships between genetic alterations and clinical outcomes;
• Records all analysis steps in an accurate, timely and clearly presented manner, and use this to prepare data summaries and reports as and when required;
• Optimized bioinformatic analysis pipelines;
• Performs literature reviews, prepares data visualization, and drafts scientific publications;
• Prepares conference abstracts, posters and presentations;
• Other duties as assigned.
  

Position requirements

• PhD or M.Sc degree with over 3 years of experience in bioinformatics, computational biology, molecular biology or a related discipline required;
• Strong background with unix/linux tools and at least two years coding experience with PERL, PYTHON or related data analysis languages;
• Solid understanding of statistics, expertise in R and Bioconductor;
• Exposure to NGS data is mandatory with knowledge of NGS platforms, datatype (FASTQ, BAM, VCF, MAF) and analysis tools;
• Experience in the analysis of large “omics” data sets (e.g. RNA-seq, whole genome/exome sequencing) and clinical NGS data sets is an asset;
• Experience in working with test-driven programming and version control is an asset;
• Excellent written and oral communication skills.

Only candidate selected for an interview will be contacted.