Mississauga, On Bioinformatician Jobs – 2 Openings This Week

Bioinformatics Scientist
Geneseeq Technology Inc. —Toronto, ON
- $75,000–$90,000 a year
- Full-time
- Doctoral degree
- Data analysis skills
- Machine learning
- Disability insurance
- Dental care
Quick apply
14d

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Bioinformatics Scientist
Geneseeq Technology Inc. —Toronto, ON
This position will provide ample opportunities for professional development and the acquisition of cutting-edge skills in basic and translational cancer…
$75,000–$90,000 a year
Quick apply
14d

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Bioinformatics Scientist

Geneseeq Technology Inc.
Toronto, ON

Quick apply

Job details

Permanent | Full-time
14 days ago

Benefits

Extended health care
Disability insurance
Dental care
Life insurance

Skills

Biology
Bioinformatics
Statistics
Doctoral degree
R
Data analysis skills
UNIX
Machine learning
Perl
Linux
Data visualization
Model evaluation
Leadership
Communication skills
Python
Debugging
Data Science

Full job description

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.

Position Description

We are seeking a highly motivated and experienced Bioinformatics Scientist 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:

Identifies and explores signals relevant to early cancer detection from large-scale NGS data;
Develops and prototypes novel machine learning models for cancer signal detection in liquid biopsy;
Conducts and optimizes bioinformatic analysis of NGS data and various statistical analyses;
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;
Performs literature reviews, prepares data visualization, and drafts scientific publications and grant proposals;
Prepares conference abstracts, posters and presentations;
Supervises junior bioinformaticians;
Provides scientific support to customers and research collaborators;
Other duties as assigned.

Position requirements

PhD in bioinformatics, computational biology, data science, machine learning, statistics or a related discipline with over 5 years of research experience
Strong background with unix/linux tools and 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 advanced knowledge of NGS platforms, datatype (FASTQ, BAM, VCF, MAF) and analysis tools;
A proven track record in the analysis of large “omics” data sets (e.g. RNA-seq, whole genome/exome sequencing and epigenomics data) and clinical NGS data sets;
Experienced with systematically designing, training, debugging, and evaluating machine learning models such as boosting ensemble methods, neural networks and deep learning;
Experienced developing and implementing deep learning methods, and going beyond packaged algorithms;
Experience in working with test-driven programming and version control is an asset;
Excellent written and oral communication skills and proven leadership abilities.
Excellent publication track record.

Only candidate selected for an interview will be contacted. For more information, please visit na.geneseeq.com.

Job Types: Full-time, Permanent

Pay: $75,000.00-$90,000.00 per year

Benefits:

Dental care
Disability insurance
Extended health care
Life insurance

Education:

Doctoral Degree (required)

Experience:

Research: 5 years (preferred)

Work Location: In person

Quick apply

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