Job of the future


December 12, 2020
Duration: 02:21

The bioinformatician creates, develops and enhances programs and software that allow biological data to be stored, classified and analyzed. It builds a bridge between biology, which is necessary for interpreting biological data and the computer-based methods needed to process and analyze this data.

Job of the future

Computational Biologist

December 12, 2021
Duration: 03:16

The computational biologist develops and applies methods of data and theoretical analysis, mathematical modelling and computational simulation techniques to the study of biological systems and processes.

Main duties

1. Manage, analyze and interpret biological data using computer-based methods

2. Model molecules, cells and carry out DNA sequencing operations using computer-based tools

3. Develop, program and ensure the proper functioning of the computer and software tools

4. Develop solutions to automate thre processing of omic data

Academic training

General description

Computer science path:

  • Bachelor’s degree in computer science, in programming, or in software development
  • Graduate or postgraduate studies in biology or life sciences


Scientific path:

  • Bachelor’s degree in biology, biomedical sciences, or related field
  • Graduate or postgraduate studies in bioinformatics


Pre-university training

Computer Science and Mathematics


Health science

Pure and applied science

Scientific French Baccalaureate

Technical training


Computer science technology technical training

Computer science technology technical training (networks and security)

Data management and research technics technical training

Technical training in a related field (IT, web programming)


Networks management and cyber security


Undergraduate studies

Bachelor of Bioinformatics

Bachelor of Biology and Mathematics

Bachelor of Computer science and Biology

Bachelor of Computer science

Bachelor of software engineering

Bachelor of Mathematics and Computer science

Bachelor of Computer science and software engineering

Bachelor of Mathematics (Statistics)

Bachelor of Biology

Bachelor of Biological sciences

Bachelor of Biochemistry

Bachelor of biochemistry and molecular medicine

Bachelor of Biomedical sciences

Bachelor of Microbiology and Immunology

Bachelor of Neuroscience

Bachelor of Cognitive neurosciences


 Graduate studies (An asset)

Master’s in Bioinformatics

Master’s in Mathematics for intelligence and data management

Master’s in software engineering

Master’s in Computer science, specialization in artificial intelligence

Master’s in Computer science

Master’s in Statistics

Master’s in Mathematics and statistics

Master’s in Biology

Master’s in Biological sciences

Master’s in Biomedical sciences

Master’s in Biochemistry

Master’s in Pathology and Cellular Biology

Master’s in Molecular Biology

Master’s in Molecular, Cellular and Integrative Physiology

Master’s in Microbiology and Immunology

Specialized graduate diploma in Bioinformatics

Specialized graduate diploma in Biotechnology and Genomics

Specialized graduate diploma in software engineering

Specialized graduate diploma in Computer science

Specialized graduate diploma in Machine learning


Postgraduate studies (an asset)

Ph.D. in Bioinformatics

Ph.D. in Computer Science

Ph.D. in Cognitive Informatics

Ph.D. in Statistics

Ph.D. in Mathematics and Statistics

Ph.D. in Biology

Ph.D. in Biological sciences

Ph.D. in Biomedical sciences

Ph.D. in Molecular Biology

Ph.D. in Molecular, Cellular and Integrative Pathology

Ph.D. in Biochemistry

Ph.D. in Microbiology and Immunology

Ph.D. in Virology and Immunology

Université de Montréal

Continuous training

  • CONTINUUM : A qualifying training in data science

Hiring sub-sectors

Innovative Pharmaceuticals
Contract Manufacturing Organizations (CMOs)
Contract Research Organizations (CRO)
Medical Technologies
Health IT / AI
Natural Health Products

Profile of required skills

  • Know how to set up, harmonize and manage databases
  • Analyze and interpret statistics related to the data
  • Demonstrate proficiency in programming languages and tools
  • Measure the performance of AI systems
  • Be familiar with techniques related to the creation, analysis and valuation of omics data
  • Know how to model and manage data
  • Be proficient in statistics
  • Know the regulations (SC, FDA, EMA)
  • Understand the drug review process


  • Demonstrate problem solving and analysis capabilities
  • Develop the versatility and ability to perform multiple tasks
  • Take an interest in disruptive technologies
  • Understand how AI is integrated in the LSHT value chain

Industry opportunities

Prospects – Findings

Technological skills that will need to integrate:

  • Genomics
  • Artificial intelligence (integration and performance measurement)
Salary range
$70,000 to $100,000