Research Programmer – Lymphoma Project

Job Description:
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.

Responsibilities:

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

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.

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.

Location: Vancouver, BC, Canada

Job Type: Staff

Degree Level Required: Bachelor's

Requeriments :

• Technical Bachelor

Skills :

• Bioinformatics
• Data Mining
• genomic
• Lunix/Unix
• Machine Learning
• Next Generation Sequencing
• Programing in Python
• Programming in R
• RNA-seq
• Shell scripting
• Statistics

Areas :

• Bioinformatics

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