CQDM is a biopharma-based research consortium created in 2008 with the mission to fund the development of innovative technologies to accelerate the drug discovery and development. Its business model is based on a collaborative approach bringing together world-leading pharmaceutical organizations, Canadian biotech companies as well as the Canadian and Quebec governments who share the costs of the research. CQDM uses this leverage to reduce the risks inherent to early-stage biopharmaceutical research. In doing so, CQDM bridges the funding gap needed to drive innovation across the academic and private sectors, especially where early-stage research is concerned. Over the last 10 years, CQDM has benefited from the contribution of 13 pharmaceutical members. CQDM also received contributions from Quebec’s Ministry of Economy and Innovation (MEI) and from the Government of Canada under the Business-Led Networks of Centres of Excellence Program (BL-NCE). Since 2008, CQDM has supported the development of 64 outstanding innovative technologies totaling $68M in funding. These R&D projects, carried out by 1,200 scientists from 69 different research institutions across Canada, have generated numerous economic benefits for all the stakeholders of the life science ecosystem. For more information: http://www.cqdm.org/.
Summary of position
The AI Project Manager will be responsible to create links between the Artificial Intelligence and the biopharmaceutical research sectors and to contribute on establishing a strategy aimed at promoting/establishing research collaborations between the stakeholders of the biopharmaceutical research the Quebec Artificial Intelligence and global pharma companies that are CQDM members.
In collaboration with the CQDM team, the AI Project Manager participates in the strategic planning for AI related projects in the CQDM portfolio. More precisely:
- Maintaining current knowledge of AI-focused biopharmaceutical research technologies and trends in Canada;
- Engaging in the sourcing and evaluation of AI-based biopharmaceutical research projects and technology platforms from academic institutions and SMEs;
- Assisting with development of an asset map of AI biopharmaceutical research across Canada;
- Working with consortium members and other stakeholders to syndicate new AI-based research projects;
- Establishing and populating a database to capture the landscape of AI related projects in the CQDM pipeline;
- Preparing and presenting scientific projects for review by the CQDM Scientific Advisory Board;
- Assisting the CQDM Scientific Affairs group with the execution of new pipeline projects.
- Master’s or Ph.D. in Computer Science or Computational Biology (any other related degree, but having post-graduate experience in bioinformatics or computational biology specifically as it relates to machine learning or related AI algorithms may also be considered);
- Very strong knowledge of machine learning to support biotherapeutic drug discovery and development;
- A knowledge of updating new and emerging AI technologies of potential interest to the biotherapeutic industry;
- A strong capacity to anticipate the evolution of R&D within the pharma industry.
Abilities and qualifications
- Perfectly bilingual, with excellent writing skills in both languages;
- Very strong leadership and autonomy;
- Strong business development skills;
- Strong attention to detail;
- Ability to work in a highly collaborative environment with proven ability in achieving results;
- Capacity to integrate into a small multidisciplinary team;
- Highly motivated and performance driven;
- Strong interpersonal and organizational skills;
- Experience with Microsoft Office Suite.
Please note that this is a full-time position for summer 2019 with the possibility of permanent hiring in fall 2019.
You can send your resume and cover letter by e-mail to Jennifer Saleeb at firstname.lastname@example.org. Please note that only selected candidates will be contacted for an interview.