Staff Research Scientist (AI for Chemistry, term 2-year) at University of Toronto
Toronto, ON, Canada -
Full Time


Start Date

Immediate

Expiry Date

31 Aug, 25

Salary

52574.0

Posted On

27 Apr, 25

Experience

1 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

No

Skills

Robotics, Learning, General Programming, Procurement, Characterization, Computer Science, Applied Mathematics, Physics, Design, Chemistry, Development Projects, Qsar, Virtual Screening, Materials Science, Machine Learning, Language Processing, Organic Chemistry

Industry

Pharmaceuticals

Description

Date Posted: 04/25/2025
Req ID: 42677
Faculty/Division: Faculty of Arts & Science
Department: Acceleration Consortium
Campus: St. George (Downtown Toronto)

DESCRIPTION:

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. The AC is a global community of academia, industry, and government that leverages the power of artificial intelligence (AI), robotics, materials sciences, and high-throughput chemistry to create self-driving laboratories (SDLs), also called materials acceleration platforms (MAPs). These autonomous labs rapidly design materials and molecules needed for a sustainable, healthy, and resilient future, with applications ranging from renewable energy and consumer electronics to drugs. AC Staff Research 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.
The Acceleration Consortium (AC) promotes an inclusive research environment and supports the EDI priorities of the unit.

MINIMUM QUALIFICATIONS:

Education – Ph.D. in chemistry, materials science, life sciences, physics, engineering, robotics, computer science, applied mathematics or related discipline

EXPERIENCE

  • 1 to 5 years of experience (inclusive of PhD and/or post-graduate work) in accelerated R&D in the area of cheminformatics and molecule design.
  • Experience working with industry partners and on industry lead research and development projects.
  • Expert knowledge of AI and automation and experience with the development of self-driving laboratories
  • Experience presenting research at academic conferences.

SKILLS

  • Strong and effective communicator in oral and written English
  • Collegial in working with team members and collaborators.
  • Ability to work independently.

ALL QUALIFIED CANDIDATES ARE ENCOURAGED TO APPLY; HOWEVER, CANADIANS AND PERMANENT RESIDENTS WILL BE GIVEN PRIORITY

Closing Date: 08/31/2025, 11:59PM ET
Employee Group: Research Associate
Appointment Type: Grant - Term
Schedule: Full-Time
Pay Scale Group & Hiring Zone: R01 - Research Associates (Limited Term): $52,574 - $98,576, salary will be assessed based on skills and experience
Job Category: Administrative / Manageria

Working with the AC community, including faculty and partners, to determine the required capabilities of the SDLs to be built. Developing the plans for SDLs that will meet user requirements and designing novel instruments for automated material synthesis and characterization. Developing customized hardware and Python software packages to build SDLs. Selecting, procurement, and installation of the equipment required for SDLs.

  • Research Directio
Responsibilities

THIS POSTED POSITION IS FOR A ROLE WITH SDL2 (ORGANIC SMALL MOLECULES)

We seek a scientist to develop ML-driven tools for accelerating organic synthesis and novel material discovery. The role involves leveraging cheminformatics and generative models to design molecules, predict reaction pathways, and optimize materials for applications in sustainability, healthcare, or energy.

THE COMPONENTS AND DUTIES OF THE WORK CAN INCLUDE:

  • SDL and Automation Development

Working with the AC community, including faculty and partners, to determine the required capabilities of the SDLs to be built. Developing the plans for SDLs that will meet user requirements and designing novel instruments for automated material synthesis and characterization. Developing customized hardware and Python software packages to build SDLs. Selecting, procurement, and installation of the equipment required for SDLs.

  • Research Direction

Develop research programs that leverage the AC’s SDLs and support the research objectives of AC faculty and industry partners. Using SDLs to synthesize and characterize large quantities of candidate molecules, calibrating theoretical models with experimental data, predicting promising candidates with computational tools and machine learning algorithms, and elucidating structure-property relationships of emerging molecules, polymers, solid-state materials, formulations, etc.

Tasks include:

  • Implementing research and development projects of AC’s industry partners when implemented in AC labs.
  • Developing plans that support research collaborations and planning and estimating financial resources required for programs and/or projects.
  • Working with Product Managers to ensure research outcomes meet partner requirements.
  • Promoting AC’s research capacity, including delivering presentations at conferences.
  • Collaboration in the preparation and submission of research proposals to granting agencies and progress reporting.
  • Preparing manuscripts for submission to peer-reviewed publications/journals and stewarding them through the process.
  • Other
  • Supporting consulting services related to the application of SDLs for materials discovery for the AC’s partners.
  • Support research-focused events such as the Annual Symposium
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