The most recent Adequacy Diagnosis Training-Skills-Employment : Life Sciences and Health Technologies Sector published in 2019 confirmed that there was a widespread shortage of professionals with IT skills and indicates that the shortage is most acute in the LSHT sector. In this context, Montréal InVivo, Pharmabio Développement, Université de Montréal, Qualifications Québec and Collège Ahuntsic, with the financial support of the Conseil emploi métropole and the Pôle montréalais d’enseignement supérieur en intelligence artificielle (PIA), decided to put in place a qualifying path that would enable candidates to acquire the skills they need to meet industry needs.

Project description

The Continuum qualifying path is a project that proposes an innovative solution for matching training and employment. It involves bridging the gap between the needs of a booming job market and candidates who already have basic training and skills, but for whom additional training and practical experience are essential to ensure successful integration and job retention.



Interested in participating in this project or having more information about it ?

Do not hesitate to contact us. We would be pleased to answer your questions.

The Continuum training path

In addition to offering a solution to the labour shortage in a leading data science sector, the project aims to develop a training pathway that is both on-campus and in-company, while supporting candidates and companies throughout the process. This match with the workplace is imperative to the project. The training plan will be developed to fill the gaps between the candidates’ skills and the needs identified by the host companies. The candidates and the companies involved will be accompanied by a recognized expert in data science throughout the program or path. The project also includes the establishment of a practical data science community to stimulate the continuous improvement of expertise.

Benefits of participating in Continuum

  • Fill a need with a custom-trained candidate for the company;
  • Possibility of financial aid for the apprentice’s salary;
  • Support for mentoring within the company or the possibility of having an external mentor;
  • Participate in an innovative pilot project that promotes collaboration between the academic and industrial sectors;
  • Possibility of support for the company’s digital development (project to be analyzed for feasibility);
  • The apprentice is integrated in a practical community in data science to exchange best practices with other experts.

months of training
expert mentors in data science

Continuum works to consolidate a supportive ecosystem critical to talent development. It helps optimize skills development and establishes collaboration between partners: educational institutions, employment stakeholders, candidates and companies.

Claudie Noël, Montréal InVivo

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