Bioinformatics Scientist

Integrated Resources, Inc - 20 emplois

Mississauga, ON

Posté hier

Détails de l'emploi :

Temps plein

Expérimenté

Job Title: Bioinformatics Scientist
Job Location: Mississauga, ON
Job Duration: 11-12 Months( Possibility of extension)
Job Summary:

Client Sequencing Solutions (RSS), a business within Client Diagnostics, is focused on developing a disruptive Next-Generation Sequencing (NGS) platform along with a portfolio of reagents, assays and informatics solutions for multiple disease areas.
We are looking for a Bioinformatics Scientist to support assay development efforts.
In this role, you will collaborate closely with molecular biologists and bioinformatics scientists and apply your strong knowledge in processing and analyzing next generation sequencing technologies.
You will maintain, improve and develop internal algorithms, tools and pipelines for oncology applications (such as variant calling) as well as analyzing biological data for assay development

Responsibilities

Provide hands-on bioinformatics data analyses and troubleshooting of bioinformatics pipelines.
Implement innovative algorithms for minimal residual disease and cancer early detection.
Collaborate with wet-lab scientists and bioinformaticians to develop new assay methodologies.
Work with external collaborators of Client and provide bioinformatics support for them.
Present and communicate team activities/project results across multiple functions in the organization.

Nice to Have:

Strong statistical background.
Experience with version control and familiarity with issue tracking systems (i.e .JIRA).
Familiarity with database languages such as SQL.
Experience with container-based virtualization (i.e. Docker).
Familiarity with R Shiny App development.
Experience with immune repertoires data analysis.

Must Have:

Documented experience with sequencing/genomic data analysis (NGS), especially in the area of high-throughput sequence analysis.
Proficient in general bioinformatics tools including tools for sequence alignment, variant analysis, and database queries.
Proficient in Python and R.
Proficient working in a Linux HPC environment.
Hands-on experience in workflow management system (e.g. Nextflow, Snakemake).
Working understanding of biological concepts and experimental methods commonly used in molecular biology and interest to learn more.
Excellent communication, advanced English reading, writing, listening and speaking skills; Responsible and reliable, goal and task oriented.

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