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 quick-paced, evolving research environment

📌 Bioinformatics / Computational Biologist (Toronto)
🏢 Augmented
📍 Toronto