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Staff Scientist; Inorganic Lab

Job in Toronto, Ontario, C6A, Canada
Listing for: University of Toronto
Full Time position
Listed on 2026-01-01
Job specializations:
  • Research/Development
    Research Scientist, Data Scientist
Job Description & How to Apply Below
Position: Staff Scientist (Inorganic Lab)
Overview  The Acceleration Consortium (AC) at the University of Toronto (U of T) is leading a transformative shift in scientific discovery that will accelerate technology development and commercialization.
AC Staff Scientists will advance the field of AI-driven autonomous discovery and develop the materials and molecules required to address society’s largest challenges, such as climate change, water pollution, and future pandemics.
Responsibilities  The Staff Scientist within SDL1:
Inorganic will work with a diverse team of leading experts at U of T, including Professors David Sinton, Jason Hattrick-Simpers, Yu Zou, and more.
Develop research programs leveraging AC’s SDLs to discover materials and molecules.
Design and implement novel instruments for automated material synthesis and characterization.
Build custom hardware and Python software packages for SDLs.
Manage research and development projects for industry partners and AC labs.
Collaborate with Product Managers to ensure research outcomes meet partner requirements.
Promote AC’s research capacity: delivering presentations pare manuscripts for peer review, and steward them through the process.
Support consulting services related to application of SDLs for materials discovery for AC partners.
Qualifications  Education   Ph.D. in Chemistry
Experience   Five (5) to 10 years of experience in research and development, including significant experience in self-driving labs for chemistry and materials science.
Experience in self-driving workflows for electrocatalysis and oxygen-evolution reaction.
Experience managing major research projects in AI and automation, including hardware integration and high‑throughput experimentation.
Strong experience and expert knowledge of AI and automation.
Experience working with industry partners on industry‑led R&D projects.
Strong experience presenting research at academic conferences.
Demonstrated record of academic and/or research excellence.
Skills   Strong and effective communicator in oral and written English.
Collegial in working with team members and collaborators.
Ability to work independently.
Other   Must have a strong publication record.
Demonstrated success in writing and preparing manuscripts, presentations, reports, briefs, and scientific abstracts for peer‑review journals.
Diversity Statement  The University of Toronto embraces Diversity and is building a culture of belonging that increases our capacity to effectively address and serve the interests of our global community. We strongly encourage applications from Indigenous Peoples, Black and racialized persons, women, persons with disabilities, and people of diverse sexual and gender identities. We value applicants who have demonstrated a commitment to equity, diversity and inclusion and recognize that diverse perspectives, experiences, and expertise are essential to strengthening our academic mission.
Accessibility Statement  The University strives to be an equitable and inclusive community, and proactively seeks to increase diversity among its community members. Our values regarding equity and diversity are linked with our unwavering commitment to excellence in the pursuit of our academic mission. The University is committed to the principles of the Accessibility for Ontarians with Disabilities Act (AODA). If you require any accommodations at any point in the application and hiring process, please contact
Closing Date  01/30/2026, 11:59PM ET
All qualified candidates are encouraged to apply; however Canadians and permanent residents will be given priority.  Benefits website  Please refer to our website for some general information about benefits.

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