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Staff Scientist, Organic Synthesis


University of Toronto


Location

Ontario | Canada


Job description

Staff Scientist, Organic Synthesis

Date Posted: 02/29/2024
Req ID: 36246
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 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.

Hiring is occurring on a rolling intake. Please apply ASAP and do not wait for the listed job closing date.

The Acceleration Consortium received a r seven years to develop self-driving labs for chemistry and materials, the largest ever grant to a Canadian University. This grant will provide the Acceleration Consortium with seven years of funding to execute its vision.

The AC is developing seven advanced SDLs plus an AI and Automation lab:

This posted position is for a Staff Scientist within SDL2: Organic

Expertise that is desired:
Organic small molecules expertise
• Multi-step synthesis and purification of complex small molecules
• High-throughput organic synthesis, purification, and processing
• Characterization of small molecules using a variety of techniques
• Enabling synthetic technologies (e.g., flow chemistry, photochemistry, electrochemistry, etc) Additional expertise that is desired (but not required):
Artificial intelligence / automation expertise
• Machine learning to accelerate the discovery of molecules and materials
• Robotics and automation
• Experimental planning and design/optimization
• Programming and high-performance computing.

The Staff Scientists will work with a diverse team of leading experts at U of T, including Professors Alán Aspuru-Guzik, Sophie Rousseaux, and more.

The Staff Scientists involved in the AC are highly skilled and experienced researchers who will work independently to develop the AI and automation technologies required to build robust and scalable self-driving labs, manage these SDLs, and design and implement research programs (based on the direction of the AC’s scientific leadership team) that leverage the SDL platforms to discover materials and molecules. Moreover, the Staff Scientists will work collectively, sharing knowledge among each other, faculty, and trainees. This role will report to the Academic Director and Executive Director of the Acceleration Consortium.

The components and duties of the work can include:

  1. 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 SDL plans to 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.

Working independently to develop research programs that leverage the AC’s SDLs and supports 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:

MINIMUM QUALIFICATIONS:

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

Experience

Skills

Other

All qualified candidates are encouraged to apply; however, Canadians and permanent residents will be given priority

Closing Date: 03/31/2024, 11:59PM ET
Employee Group: Research Associate
Appointment Type : Grant - Continuing
Schedule: Full-Time
Pay Scale Group & Hiring Zone: $60,304.00 - $150,000( salary will be assessed based on skills and experience)
Job Category: Administrative / Managerial

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All qualified candidates are encouraged to apply; however, Canadians and permanent residents will be given priority.

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.

As part of your application, you will be asked to complete a brief Diversity Survey. This survey is voluntary. Any information directly related to you is confidential and cannot be accessed by search committees or human resources staff. Results will be aggregated for institutional planning purposes. For more information, please see . 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). As such, we strive to make our recruitment, assessment and selection processes as accessible as possible and provide accommodations as required for applicants with disabilities.

If you require any accommodations at any point during the application and hiring process, please contact [email protected] .
Job Segment: Chemistry, Scientific, R&D Engineer, Sustainability, Research Scientist, Science, Engineering, Energy


Job tags

Permanent employmentFull timeTraineeshipImmediate startDowntownShift work


Salary

$200 per day

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