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Senior Staff Scientist

InsideHigherEd - 353 Jobs
Greater Sudbury, ON
Executive
Posted 5 days ago

Senior Staff Scientist

Date Posted: 03/20/2024

Req ID: 30502

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 infield 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 received a $200M Canadian First Research Excellence Grant for 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. These include: 1. Inorganic solid-state materials, 2. Organic small molecules for advanced materials, 3. Drug discovery with chemical probes, 4. Polymers for materials science and biological applications, 5. Formulations for pharmaceuticals, consumer products, and coatings, 6. Biocompatibility (organ-on-a-chip), and 7. Synthetic scale-up of materials and molecules. We are hiring staff scientists to develop the hardware and software needs for each of these SDLs and to conduct research programs levering these labs for materials and molecule discovery. 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. This role will report to the Academic Director and Executive Director of the Acceleration Consortium. We are looking for individuals with diverse backgrounds and expertise to support the development of Self-Driving Labs and materials discovery. The Staff Scientists will work with a diverse team of leading experts at the U of T, including Alàn Aspuru-Guzik, Christine Allen, Cheryl Arrowsmith, Frank Gu, Jason Hattrick-Simpers, Anatole von Lilienfeld, Milica Radisic, Sophie Rousseaux, Florian Shkurti, Dwight Seferos, Dave Sinton, and Helen Tran. The background of the team hired will cover the following topics. Candidates that have experience in several or as many of the areas below will be prioritized:

  • Artificial Intelligence / Automation
  • Machine Learning for Molecules and Materials
  • Physical, theoretical and/or computational chemistry
  • Robotics
  • Experimental planning and design/optimal control
  • Programming and high-performance computing
  • Cheminformatics
  • Automated Chemical Synthesis and Characterization
  • High-throughput materials synthesis and processing (polymers, inorganic and organic molecules (including lipids))
  • Nanomaterial synthesis and characterization
  • Polymer physics
  • Structural, electrochemical, and microstructural characterization of materials and molecules
  • Screening electrocatalytic conversion
  • Analytical chemistry and separation method development
  • Chemical reactions and analytics
  • GLP formulation skills
  • Electrochemistry
  • Organic synthesis methodology development
  • Drug Discovery / Medicinal Chemistry
  • Medicinal chemistry
  • Protein biophysics/biochemistry
  • Mass spectrometry
  • Controlled release properties and processes
  • Organ on a chip / Organoid
  • Pluripotent stem cell differentiation
  • Molecular biology
  • Toxicology pharmacology

The components and duties of the work include:

  1. SDL and Automation Development
  2. Facility Management and Operations
  3. Research Direction
  4. Other

MINIMUM QUALIFICATIONS:

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

Experience

Ten (10) years of experience in research and development, preferably with significant experience in Physical, Material, Medicinal, and/or Analytical Artificial Intelligence for Chemistry, Materials or Drug Discovery. Experience working closely with a Principal Investigator or as a Principal Investigator or as Project Director with responsibilities of managing, developing and executing a major research project Strong experience and expert knowledge of AI and automation. Experience with overseeing the activities of a lab Experience working with industry partners and on industry lead research and development projects Strong experience presenting research at academic conferences Experience managing research staff. Experience managing a laboratory budget and procuring equipment Demonstrated record of academic and/or research excellence. Must have a strong scholarly publication record

Skills

Strong in communicating effectively and efficiently 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 and manuscripts for peer-reviewed journals.

Closing Date: 07/01/2024, 11:59PM ET

Employee Group: Research Associate

Appointment Type: Grant - Continuing

Schedule: Full-Time

Pay Scale Group & Hiring Zone: A maximum salary of $180,000, salary will be assessed based on skills and experince

Job Category: Research Administration & Teaching

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 http://uoft.me/UP.

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].

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