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Research Programmer – Lymphoma Project

Job Code: RPLP 04-16-2018

The Genome Sciences Centre is seeking a Research Programmer to work on a clinical genomics project related to Lymphoma. The successful applicant will work closely with the Clinical Genomics group which is responsible for developing high-throughput, clinically accredited pipelines to aid in identifying pathogenic alterations in cancer. This project involves the development of a new assay for Lymphoma patients with the goal of individualized patient management.

Duties/Accountabilities: 

    • Modification and development of bioinformatic pipelines to analyse lymphoma RNA-Seq and other genomic data yielding clinical grade variant and expression data
    • Assist in choosing and modifying targets for assay development
    • Analysis of NGS data to investigate clonality, hypermutation, and intergenic translocations
    • Development and assessment of bioinformatic tools for RNA-Seq expression analysis and variant calling
    • Development and assessment of bioinformatic tools for determining the clinical significance of detected variants
    • Statistical analysis to determine analytical sensitivity and specificity of obtained results
    • Development of software pipelines for analyzing next-generation sequencing data
    • Support of research staff by providing analysis and software tools
    • Contributions to the writing of research publications


Qualifications:

    • Graduation from a recognized Bachelor of Science Program in Bioinformatics, Biological Sciences, Statistics, Engineering, or Computer Science.   A Master’s or Doctoral degree in a relevant field would be a strong asset. 
    • Two (2) years of recent related experience or an equivalent combination of education, training and experience acceptable to the Medical Director of the Centre for Clinical Genomics.


Skills and Abilities: 

    • Knowledge of RNA-Seq and other genomic data analysis, including expression analysis, structural variant detection, and variant-calling.
    • Experience working in a Unix environment, including experience with shell scripting and common command-line tools
    • Expertise in one or more scripting language(s) (e.g. Python)
    • Experience working with next-generation sequencing data and tools (i.e. tools for alignment and variant-calling)
    • Expertise in statistical analysis using modern computational tools.  Experience with any relevant tools will be considered, but R and Python are preferred
    • Experience writing reports of results in accurate and concise language; expertise in scientific/technical writing is required
    • Experience with methods in high-dimensional data analysis for bioinformatics such as clustering, machine learning and data mining would be assets
    • Experience with software testing and cluster computing would be assets
    • Familiarity with cancer genetics would be an asset, as would a history of publications in relevant fields.

The successful candidate will also have:

    • Excellent verbal and written communication skills
    • Demonstrated interpersonal skills including the ability to work effectively with others in a team environment.
    • Demonstrated ability to efficiently organize work assignments and establish priorities.


All qualified candidates are encouraged to apply; however, Canadian citizens and permanent residents will be given priority.

 

To Apply

Please send your resume with cover letter to

We request that you specify the position you are applying for by identifying the Job Code only (e.g. "RPLP 04-16-2018") in the subject line of your emailed application.