Computational Biologist (Pharma)

TL;DR

Computational Biologist (Pharma): Analyzing large-scale biological and multi-omics datasets to support drug discovery and development with an accent on pipeline development and algorithmic modeling. Focus on interpreting complex scientific data, collaborating with cross-functional teams, and ensuring regulatory compliance in pharmaceutical projects.

Location: Toronto

Company

hirify.global is an independent technology consulting firm providing specialized solutions across information systems, digital, telecom, life sciences, and engineering sectors globally.

What you will do

• Analyze large-scale biological and multi-omics datasets including genomics, transcriptomics, and proteomics.
• Develop and implement computational models, pipelines, and algorithms for drug discovery.
• Collaborate with bioinformaticians, data scientists, and wet lab researchers on interdisciplinary projects.
• Interpret complex research results and present findings to diverse scientific and non-scientific stakeholders.
• Contribute to experimental design and strategic data collection.
• Maintain high standards for data quality, reproducibility, and regulatory compliance.

Requirements

• PhD or Master’s degree in Computational Biology, Bioinformatics, Genomics, or a related field.
• Proven professional experience applying computational biology methods within pharmaceutical or biotech settings.
• Proficiency in programming languages such as Python, R, or Perl.
• Experience with high-throughput data analysis and visualization tools.
• Solid understanding of molecular biology and complex biological systems.
• Strong communication skills and ability to thrive in a collaborative environment.

Culture & Benefits

• International community with professionals from over 110 nationalities.
• Access to an internal Academy with over 250 professional training modules.
• Environment focused on trust and internal mobility.
• Frequent internal events including afterworks and team-building activities.

Hiring process

• Initial brief virtual or phone conversation to discuss motivations and fit.
• Average of 3 interviews involving line managers and prospective teammates.
• Technical assessment or case study to evaluate problem-solving and domain skills.