Diagnostic Bioinformatician

Job ID:
Job date: 2018-02-13
End Date:

Company : OICR 

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Role : Other 


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Job Description:
Position: Diagnostic Bioinformatician Site: MaRS Centre, Toronto Department: Diagnostic Development Reports To: Director, Diagnostic Development Salary: Commensurate with level of experience Hours: 35 hours/week Status: Full-time, Temporary (one year)

Responsibilities:

• Preprocessing, processing and interpreting large next generation sequencing data sets to quantify gene expression, copy number aberrations and simple somatic mutations;

• Mining data sets for biomarkers that stratify patients according to their risk of disease progression and/or predict patient response to specific therapies;

• Exploring external biological databases, suggesting integration approaches and building prototypes to evaluate and fine-tune integration plan;Developing tools for data quality control, data validation and reporting;

• Interacting with the Director to design and develop bioinformatics and statistical algorithm approaches for clinical diagnostics. The incumbent will be co-mentored by a Bioinformatics PI;

• Liaising with other OICR experts in next generation sequencing, bioinformatics, and biostatistics to validate approaches;

• Preparing documentation for data specifications and analysis workflows;

• Participating in publications, grant writing and program funding review.

Qualifications:

Required:

• PhD or post-doctorate in computational biology/bioinformatics or related field with 3-5 years professional experience;

• Knowledge of genomics, molecular and/or cancer biology;

• Experience with the analysis of next generation sequencing data;

• Experience with bioinformatics resources, databases, tools and common standard formats used in NGS;

• Strong scripting skills (R/python/perl), expertise in a statistical environment (matlab or R), and comfort working in Linux environment;

• Experience in biostatistics, particularly survival or Bayesian techniques;

• Excellent writing and communication skills;

• Experience with meeting publication, grant and experimental deadlines;

• Ability to work independently and mentored by our Informatics team.

Preferred:

• Experience with and in-depth knowledge of data modeling;

• Experience in machine-learning methods;

• Experience with clinical trials an asset;

• Previous experience in developing algorithms that have been implemented in a clinical diagnostic test highly preferred;

• Post-graduate research work in network modelling of cancer cell signaling networks, cancer heterogeneity and transcriptional regulatory networks;

• Previous experience working with Nanostring data is a plus;

• Data-visualization capabilities for large datasets.

Location: Toronto, QC, Canada

Job Type: Programmer/Developer

Degree Level Required: PhD


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