Pharmaceutical - Computational Biologist

Amaris Consulting

$80K — $110K *
Pharmaceuticals & Biotech
Less than 5 years of experience
Job Overview by Ladders

Qualifications

  • PhD or Master's degree in Computational Biology, Bioinformatics, Genomics, or related field.
  • Experience in applying computational biology methods in pharmaceutical or biotech environments.
  • Proficient in programming languages like Python, R, or Perl.
  • Familiar with high-throughput data analysis and visualization tools.
  • Strong understanding of molecular biology and biological systems.
  • Excellent communication skills and ability to collaborate within scientific teams.

Responsibilities

  • Analyze large-scale biological and multi-omics datasets.
  • Develop computational models, pipelines, and algorithms for drug discovery.
  • Collaborate with bioinformaticians, data scientists, and wet lab researchers.
  • Interpret results and present findings to various stakeholders.
  • Contribute to experiment design and data collection strategies.
  • Ensure data quality and compliance with scientific standards.

Benefits

  • International community with over 110 nationalities.
  • Culture of trust with a high percentage of leaders promoted from within.
  • Robust training system with 250+ internal modules.
  • Dynamic work atmosphere with frequent team-building events.
Full Job Description
Job description

Are you a data-driven scientist passionate about turning complex biological data into meaningful insights? We are currently looking for Computational Biologists to join our innovative and collaborative team in Toronto! If you're open to new challenges and excited to contribute to impactful projects in the pharmaceutical space, we'd love to hear from you.

Responsibilities:
  • Analyze large-scale biological and multi-omics datasets (genomics, transcriptomics, proteomics, etc.)
  • Develop and apply computational models, pipelines, and algorithms to support drug discovery and development
  • Collaborate with cross-functional teams including bioinformaticians, data scientists, and wet lab researchers
  • Interpret results and present findings to scientific and non-scientific stakeholders
  • Contribute to the design of experiments and data collection strategies
  • Ensure data quality, reproducibility, and compliance with scientific and regulatory standards

Requirements:
  • PhD or Master's degree in Computational Biology, Bioinformatics, Genomics, or a related field
  • Proven experience applying computational biology methods in a pharmaceutical or biotech setting
  • 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 biological systems
  • Strong communication skills and ability to work collaboratively across scientific teams

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