The Vector Institute is seeking a Director, Health Research Partnerships to join our growing team in Toronto.
Participate in development and maintenance of strong, value-enhancing relationships between Vector and the broader health research sector. Share accountability for the development and undertaking of high impact health-related artificial intelligence (AI) research, with a focus on machine learning.
In this key leadership role, you’ll act as Vector’s planning lead and primary day-to-day interface between researchers, research funders, and private and public sector organizations positioned to benefit from the application of health AI research findings. You will be a direct public-facing contact with many external health stakeholders including researchers, universities, companies, government ministries and agencies, and provincial and national research funders. You will lead the implementation of elements of Vector’s Health Strategy and contribute to future strategic planning processes.
Employment Type: Full Time, Regular
SELECT KEY RESPONSIBILITIES
- Contribute to both the development and implementation of Vector’s health-related strategic and operational plans
- Identify, support, and extend partnerships between Vector and health researchers, natural sciences and engineering researchers, and social sciences and humanities researchers
- Forge and maintain effective generative working relationships with the health research community, including with research administrators and researchers at universities, hospitals, government agencies and independent research institutes that collectively span the four themes of CIHR-funded research: (i) biomedical research; (ii) clinical research; (iii) health services research; and (iv) social, cultural, environmental, and population health research
- Serve as the main Vector corporate contact and a key contributor to multiple stages of health AI research projects (led by Vector, or led by others with Vector as a partner) including grant submission development, research project planning and knowledge translation (KT) activities to transfer research findings to organizations who are positions to act upon them
- Help identify and support mutually beneficial relationships between researchers and public and private sector health sector organizations, e.g., by identifying health stakeholders who will be knowledge users for health AI research projects
- Identify and showcase health AI research exemplars to build increased interest in, and support for, health AI research
Key Success Measures
- Health research stakeholder feedback, via informal and formal feedback mechanisms, validates that Vector is adding value to the health research ecosystem
- Health AI research projects, led by Vector and others, demonstrate the impact of health AI research and help make the case for additional research funding
- New connections between diverse researcher stakeholders are made (e.g., through Health AI Rounds and other networking events) resulting in new relationships and new collaborations
- Patient health outcomes are improved through the application of findings from applied health AI-related research projects
- Vector’s health AI research projects and health strategy contribute to the overall vision and mission of the Vector institute through close coordination between its research- and industry-related workstreams
Profile of The Ideal Candidate
- A research Master’s or PhD degree in a health discipline or in a science, technology, mathematics, or engineering (STEM) discipline with a thesis focused on health
- Are currently in, or have previously held, a leadership role involving active engagement with health researchers and senior health sector stakeholders and knowledge users
- Experience in the development, implementation, and execution of research projects
- Has been directly involved in three or more health research projects, ideally data-intensive health research projects
- Demonstrates explicit knowledge of the research funding ecosystem including national research funders (CIHR, NSERC, SSHRC, CFI, Genome Canada), provincial government funding sources (MRIS, MOHLTC), charitable organizations and foundations who fund research, and private sector organizations that fund research
- Good understanding of the Knowledge-to-Action cycle
- High tolerance for ambiguous environments and is able to drive progress in complex environments consisting of multiple stakeholders who often have differing goals
- Creative and enjoys working in a small entrepreneurial environment that is results-driven
- Exceptional verbal and written English communication skills, including effective engagement with diverse and senior research stakeholders
- Possesses a positive attitude, integrity, a sense of humour, and brings a positive energy and outlook to a not-for-profit corporate culture
- Is motivated by continuous learning and the desire to make a difference and a real contribution to the AI ecosystem
- Understands the opportunities for machine learning research to have an impact for patients, health care providers, and the health system broadly
- Would be laser-focused on bringing the transformative power of health AI research to knowledge users positioned to act on research findings
How to apply
Interested and qualified candidates are invited to send their CV with a covering letter to the attention of Catherine Kirby at Catherine.Kirby@vectorinstitute.ai
We thank all applicants for their interest in this exciting opportunity and will be in touch with those whose qualifications most closely match with our needs.
ABOUT THE VECTOR INSTITUTE
The goal of the Vector Institute is simple: make Ontario – and Canada – a world leader in AI. A new, independent not-for-profit, Vector will help build out the AI ecosystem in Ontario, developing and attracting the world’s best machine learning and deep learning experts, and create an unrivalled convergence of research, investment, entrepreneurialism, and economic growth.