Pharmaceutical - Computational Biologist

AMARIS GROUP SA; Toronto; On-site; CAD 85,000 - 115,000; Full time

Job summary

A leading consulting firm in the pharmaceutical sector is seeking a skilled Computational Biologist to analyze biological data and develop innovative models supporting drug discovery. This role requires strong programming skills and the ability to collaborate with various scientific teams, contributing to meaningful projects. Ideal candidates will have a PhD or Master’s degree in a relevant field and proven experience in data analysis within a biotech setting.

Qualifications

• Advanced degree in Computational Biology, Bioinformatics, or a related field.
• Experience in a pharmaceutical or biotech environment.
• Proficient in Python, R, or Perl for data analysis.

Responsibilities

• Analyze large-scale biological datasets to derive insights.
• Develop computational models to support drug discovery.
• Collaborate with cross-functional scientific teams.

Skills

Data analysis

Programming (Python, R, Perl)

Communication

Collaboration

Education

PhD or Master’s degree in Computational Biology or related field

Tools

High-throughput data analysis tools

Job description

Pharmaceutical - Computational Biologist

Toronto

Permanent Job

Who are we?

Who are we?

Amaris Consulting isan independent technologyconsulting firm providing guidance and solutions to businesses. With more than 1000 clients across the globe, we have been rolling out solutions in major projects for over a decade – this is made possible by an international team of7,600 people spread across 5 continents and more than 60countries. Our solutions focus on four different Business Lines: Information System & Digital, Telecom, Life Sciences and Engineering. We’re focused on building and nurturing a top talent community where all our team members can achieve their full potential. Amaris is your steppingstone to cross rivers of change, meet challenges and achieve all your projects with success.

At Amaris, we strive to provide our candidates with the best possible recruitment experience. We like to get to know our candidates, challenge them, and be able to give them proper feedback as quickly as possible. Here's what our recruitment process looks like:

Brief Call: Our process typically begins with a brief virtual/phone conversation to get to know you! The objective? Learn about you, understand your motivations, and make sure we have the right job for you!

Interviews (the average number of interviews is 3 - the number may vary depending on the level of seniority required for the position). During the interviews, you will meet people from our team: your line manager of course, but also other people related to your future role. We will talk in depth about you, your experience, and skills, but also about the position and what will be expected of you. Of course, you will also get to know Amaris: our culture, our roots, our teams, and your career opportunities!

Case study: Depending on the position, we may ask you to take a test. This could be a role play, a technical assessment, a problem-solving scenario, etc.

As you know, every person is different and so is every role in a company. That is why we have to adapt accordingly, and the process may differ slightly at times. However, please know that we always put ourselves in the candidate's shoes to ensure they have the best possible experience.
We look forward to meeting you!

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

Amaris Consulting is proud to be an equal opportunity workplace. We are committed to promoting diversity within the workforce and creating an inclusive working environment. For this purpose, we welcome applications from all qualified candidates regardless of gender, sexual orientation, race, ethnicity, beliefs, age, marital status, disability or other characteristics.