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Rangam
RCI-ROCG-40160 Bioinformatics contractor (AI Intern)Rangam • Mississauga, ON, CA
RCI-ROCG-40160 Bioinformatics contractor (AI Intern)

RCI-ROCG-40160 Bioinformatics contractor (AI Intern)

Rangam • Mississauga, ON, CA
15 hours ago
Job type
  • Full-time
Job description
Job Code : RCI-ROCG-40160 Job Title: Bioinformatics contractor (AI Intern) Location: Mississauga, ON, CA L5N 5M8 Duration: 06 Month extension possible based on needs and performance Minimum Salary: $37.00 Per Hourly CAD Maximum Salary: $42.00 Per Hourly CAD Work Location: This is an onsite role within the Mississauga Campus. Candidate will be required to work onsite at least 3 days every week. Description: - We are seeking a highly motivated and analytical Bioinformatics contractor to join our computational biology team. In this full-time role, you will be at the forefront of liquid biopsy research. - Your work will directly contribute to the computational development of our next-gen NGS assays, helping push the boundaries of personalized medicine. Key Responsibilities - Pipeline Execution & Optimization: Assist in developing, testing, and optimizing bioinformatics pipelines for the identification and quantification of genetic mutations from cfDNA NGS datasets. - Data Visualization: Create clear, clarifying visualizations of genomic data, coverage maps, biomarker characteristics, to present findings to the cross-functional R&D team. - Data Analysis: Analyze genetic mutations identified in cfDNA; propose and explore novel biomarkers; build reproducible machine learning models to quantitatively assess and validate biomarkers. - Collaboration: Work closely with senior bioinformaticians to troubleshoot analysis strategies and correlate computational findings with clinical data. Minimum Qualifications - Education: Bachelor’s or Master’s degree or higher in Bioinformatics, Computational Biology, Computer Science, Biostatistics, or a closely related field. - Programming Skills: Strong proficiency in Python and Bash/shell scripting within a Linux/Unix environment and familiarity with good engineering practices including proper use of generative AI, version control, and documentation. - High-performance computing: Proficient in scaling bioinformatics pipelines across HPC clusters using Slurm or equivalent to accelerate NGS data processing. - Genomic Fundamentals: Solid understanding of Next-Generation Sequencing (NGS) technologies, sequence alignment, and structural variant detection. - Machine learning: Familiarity with common machine learning concepts, models, metrics and frameworks (scikit-learn, pandas etc). Preferred Qualifications - Familiarity with workflow management systems (Nextflow, Snakemake) and containerization (Docker, Singularity or equivalent). - Prior exposure to liquid biopsy data (cfDNA/ctDNA) or cancer genomics. - Strong track record of data analysis and publication in relevant fields is a plus.
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RCI-ROCG-40160 Bioinformatics contractor (AI Intern) • Mississauga, ON, CA

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