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Added 22 days ago
SM
RQ11698 – Software Developer – CRM – Senior
S M Software Solutions Inc
Toronto, ON
- Internship
Work Arrangement: Onsite – 5 Days per Week
Added 22 days ago
SM
RQ00821 – Solution Architect – CRM – Intermediate
S M Software Solutions Inc
Toronto, ON
- Internship
Hours: 7.25 hours per day, 5 days per week · Public Sector Experience: Must Have
Added 22 days ago
SM
RQ11482 – Business Analyst – Senior
S M Software Solutions Inc
Toronto, ON
- Internship
Work Arrangement: Onsite – 5 Days per Week
Added 22 days ago
SM
RQ00821 – Solution Architect – CRM – Intermediate
S M Software Solutions Inc
Toronto, ON
- Internship
Hours: 7.25 hours per day, 5 days per week · Public Sector Experience: Must Have
Added 22 days ago
SM
RQ11698 – Software Developer – CRM – Senior
S M Software Solutions Inc
Toronto, ON
- Internship
Work Arrangement: Onsite – 5 Days per Week
Added 22 days ago
SM
RQ11698 – Software Developer – CRM – Senior
S M Software Solutions Inc
Toronto, ON
- Internship
Work Arrangement: Onsite – 5 Days per Week
Added 22 days ago
SM
RQ11482 – Business Analyst – Senior
S M Software Solutions Inc
Toronto, ON
- Internship
Work Arrangement: Onsite – 5 Days per Week
Added 22 days ago
SM
RQ11600 – Software Developer – Full Stack – Senior
S M Software Solutions Inc
Toronto, ON
- Internship
Work Arrangement: Onsite – 5 Days per Week
Added 22 days ago
SM
RQ11716 – Systems Testing/QA Specialist – Intermediate
S M Software Solutions Inc
Toronto, ON
- Internship
Work Arrangement: Onsite – 5 Days per Week
Added 22 days ago
SM
RQ11754 – Software Developer – Senior
S M Software Solutions Inc
Toronto, ON
- Internship
Work Arrangement: Onsite – 5 Days per Week
Added 22 days ago
SM
RQ11486 – Data Ops/Cloud Data Engineer – Senior
S M Software Solutions Inc
Toronto, ON
- Internship
Work Arrangement: Onsite – 5 Days per Week · Candidates Must Demonstrate Strong Hands-on Experience In The Mandatory Technical Skills And Responsibilities Outlined In The Must Have And General
Added 22 days ago
SM
RQ11486 – Data Ops/Cloud Data Engineer – Senior
S M Software Solutions Inc
Toronto, ON
- Internship
Work Arrangement: Onsite – 5 Days per Week · Candidates Must Demonstrate Strong Hands-on Experience In The Mandatory Technical Skills And Responsibilities Outlined In The Must Have And General
Added 22 days ago
SM
RQ11486 – Data Ops/Cloud Data Engineer – Senior
S M Software Solutions Inc
Toronto, ON
- Internship
Work Arrangement: Onsite – 5 Days per Week · Candidates Must Demonstrate Strong Hands-on Experience In The Mandatory Technical Skills And Responsibilities Outlined In The Must Have And General
Added 22 days ago
SM
RQ11600 – Software Developer – Full Stack – Senior
S M Software Solutions Inc
Toronto, ON
- Internship
Work Arrangement: Onsite – 5 Days per Week
Added 22 days ago
SM
RQ11661 – Software Developer – CRM – Senior
S M Software Solutions Inc
Toronto, ON
- Internship
Work Arrangement: Onsite – 5 Days per Week · Onsite - 5 days per week
Added 22 days ago
SM
RQ11661 – Software Developer – CRM – Senior
S M Software Solutions Inc
Toronto, ON
- Internship
Work Arrangement: Onsite – 5 Days per Week · Onsite - 5 days per week
Added 22 days ago
SM
RQ11661 – Software Developer – CRM – Senior
S M Software Solutions Inc
Toronto, ON
- Internship
Work Arrangement: Onsite – 5 Days per Week · Onsite - 5 days per week
Added 22 days ago
SM
RQ11716 – Systems Testing/QA Specialist – Intermediate
S M Software Solutions Inc
Toronto, ON
- Internship
Work Arrangement: Onsite – 5 Days per Week
Added 22 days ago
SM
RQ11600 – Software Developer – Full Stack – Senior
S M Software Solutions Inc
Toronto, ON
- Internship
Work Arrangement: Onsite – 5 Days per Week
Added 22 days ago
SM
RQ11716 – Systems Testing/QA Specialist – Intermediate
S M Software Solutions Inc
Toronto, ON
- Internship
Work Arrangement: Onsite – 5 Days per Week
Added 22 days ago
SM
RQ11754 – Software Developer – Senior
S M Software Solutions Inc
Toronto, ON
- Internship
Work Arrangement: Onsite – 5 Days per Week
Added 22 days ago
A
Bioinformatics / Computational Biologist
Augmented
Toronto, ON
- Full-time
Added 22 days ago
A
Senior Manager, Data Governance Implementation
Aviso
Toronto, ON
- $115,000 to $135,000 CAD / year
- Full-time
Added 22 days ago
AS
Senior Full Stack Developer (Python, Vue.js & GCP)
Aequilibrium Software Inc.
Remote, Canada
- Contract
- Remote
We are seeking an experienced Senior Full Stack Developer to join our team for a 12-month client engagement focused on modernizing legacy systems and delivering scalable, secure,…
Added 23 days ago
V
Application Developer
Virtusa
Toronto, ON
- Full-time
Experience with database management systems (e.g., SQL, NoSQL).

Augmented

Bioinformatics / Computational Biologist

Toronto, ON, Canada

Full-time

Apply on LinkedIn About employer

Applications open in a new tab.

Job details

Job type: Full-time
Apply by: Apr 16, 2027
Posting language: English
Posted: Oct 18, 2026

Original job description

Job Summary

We are seeking a Bioinformatics/Computational Biologist to analyze complex biological datasets, develop and apply computational methods, and support research and development efforts through data-driven insights. This role bridges biology, statistics, and computer science, working closely with wet-lab scientists, data scientists, and R&D teams to translate large-scale biological data into actionable findings.

Key Responsibilities

Design, develop, and apply bioinformatics pipelines and computational tools to analyze genomic, transcriptomic, proteomic, and/or other omics data
Perform statistical analysis and data mining on large-scale biological datasets (NGS, microarray, sequencing data, etc.)
Develop and maintain software, scripts, and workflows for data processing, quality control, and analysis
Collaborate with laboratory scientists to design experiments and interpret computational results in a biological context
Build and maintain databases and data management systems for biological research data
Apply machine learning, statistical modeling, and/or algorithm development to biological research questions
Visualize and communicate complex analytical results to both technical and non-technical stakeholders
Stay current with emerging tools, methods, and literature in bioinformatics and computational biology
Document methods, workflows, and results in accordance with research and regulatory standards
Contribute to publications, patents, and internal reports as needed

Required Qualifications

Master's or Ph.D. in Bioinformatics, Computational Biology, Genomics, Computer Science, Statistics, or a related field (or equivalent experience)
Proficiency in programming languages such as Python, R, or similar
Experience with bioinformatics tools and pipelines (e.g., BLAST, GATK, Bioconductor, Nextflow, Snakemake)
Strong understanding of molecular biology and genetics fundamentals
Experience working with next-generation sequencing (NGS) data and associated analysis workflows
Familiarity with Linux/Unix environments and high-performance/cloud computing (AWS, GCP, or similar)
Strong statistical analysis skills
Excellent written and verbal communication skills

Preferred Qualifications

Experience with machine learning/deep learning applied to biological data
Familiarity with SQL and database management
Experience with version control (Git) and reproducible research practices
Knowledge of regulatory or GxP environments (pharma/biotech/animal health settings)
Prior experience in a relevant industry (pharmaceutical, animal health, agbio, biotech)
Publication record in relevant scientific journals

Core Competencies

Analytical and problem-solving mindset
Ability to work cross-functionally with lab scientists, data engineers, and leadership
Attention to detail and rigorous, reproducible methodology
Comfort working independently in a fast-paced, evolving research environment

Apply on LinkedIn About employer

More about this job

Responsibilities

Develop and apply computational tools and pipelines to analyze large-scale biological and omics datasets, including sequencing data, and communicate findings to research stakeholders. Collaborate with laboratory and R&D teams on experimental design and interpretation, while maintaining data systems, reproducible workflows, and research documentation.

Requirements

A master's or Ph.D. in bioinformatics, computational biology, genomics, computer science, statistics, or a related field (or equivalent experience) is required, along with programming proficiency and experience analyzing NGS data. Candidates should have strong statistical and molecular biology fundamentals, familiarity with bioinformatics tools, Linux/Unix, and cloud or high-performance computing, plus strong communication skills.

Skills

Bioinformatics
Computational Biology
Python
R
Next-Generation Sequencing
Statistical Analysis
Machine Learning
Genomics
Linux/Unix
Cloud Computing
High-Performance Computing
Bioconductor
GATK
Nextflow
Snakemake
Data Visualization

Visa sponsorship

Not detected in the job text

Keywords

Bioinformatics
Computational Biology
Genomics
Transcriptomics
Proteomics
Omics Data
Next-Generation Sequencing
NGS
Microarray
Python
R
BLAST
GATK
Bioconductor
Nextflow
Snakemake
Linux/Unix
High-Performance Computing
AWS
GCP
Machine Learning
Deep Learning
Statistical Modeling
Data Mining
SQL
Git
Reproducible Research
Quality Control
Molecular Biology
Genetics

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Jobs in Canada