Assistant Professor - Pharmacology And Toxicology

University Of Toronto; Toronto; On-site; CAD 100,000 - 150,000; Full time

Job summary

The University of Toronto seeks a full-time tenure stream Assistant Professor in Machine Learning and Self-Driving Labs applied to Drug Discovery. This role emphasizes innovative research, teaching excellence, and collaboration within a world-class biomedical research environment, beneficial for advancing discoveries to human applications.

Benefits

Competitive startup package

Numerous collaboration opportunities

Commitment to equity and diversity

Qualifications

• Demonstrated record of excellence in research and teaching.
• Publications in top venues, awards, and strong endorsements.
• Experience with mentoring and teaching.

Responsibilities

• Pursue innovative and independent research.
• Establish a competitive and externally funded research program.
• Contribute to undergraduate, graduate, and professional education in pharmacology.

Skills

Machine Learning

Self-Driving Labs

Drug Discovery

Research Excellence

Teaching Excellence

Education

PhD in Pharmacology or related discipline

Job description

Date Posted: 06/18/2025
Closing Date: 08/05/2025, 11:59PM ET
Req ID: 43553
Job Category: Faculty - Tenure Stream (continuing)
Faculty/Division: Temerty Faculty of Medicine
Department: Department of Pharmacology and Toxicology
Campus: St. George (Downtown Toronto)

Description:

The Department of Pharmacology & Toxicology in the Temerty Faculty of Medicine at the University of Toronto invites applications for a full-time tenure stream position in the areas of Machine Learning and/or Self-Driving Labs applied to Drug Discovery, Pharmacology, and/or Toxicology at the rank of Assistant Professor, with an anticipated start date of July 1, 2026.

Candidates must have earned a PhD in Pharmacology or a related discipline with a demonstrated record of excellence in research and teaching.

The successful candidate will be expected to pursue innovative and independent research, establish an original, competitive, and externally funded research program, and contribute significantly to undergraduate, graduate, and professional education in pharmacology.

We seek an outstanding individual whose research expertise and teaching interests complement and enhance the Department’s themes around pharmacology and toxicology. The candidate will advance Machine Learning and Self-Driving Lab approaches in combination with data mining and biological models to accelerate translation of discoveries to human applications. By joining the Acceleration Consortium, the candidate will benefit from a world-class environment in medical and AI research. The position includes a competitive startup package supported by the Department and the Consortium.

Evidence of research excellence includes publications in top venues, a compelling research statement, conference presentations, awards, and strong endorsements. Teaching excellence will be demonstrated through teaching accomplishments, mentorship, conference presentations, and a teaching dossier. Salary is commensurate with experience.

The Department is committed to equity, diversity, indigeneity, inclusion, and accessibility (EDIIA). We encourage candidates whose materials reflect this commitment and whose approach supports these values.

The University of Toronto is a leading biomedical research environment, offering numerous collaboration opportunities across institutes and faculties. Toronto is a vibrant, multicultural city ideal for living and working. For more information, visit our department website at pharmtox.utoronto.ca.

Application Process:

Qualified candidates should submit a cover letter, CV, teaching dossier (including philosophy, sample materials, evaluations), research statement, publication list, and contact information for three references. References will be solicited automatically after application submission. Ensure references submit letters by the deadline.

Apply at: uoft.me/how-to-apply. Upload all materials in PDF or Word format. For questions, contact Meriem Grifi at [e-mail].

Application deadline: August 5, 2025.

We encourage applications from Indigenous Peoples, Black and racialized persons, women, persons with disabilities, and diverse gender identities. A voluntary Diversity Survey will be part of the application process.

The university is committed to accessibility and accommodations for applicants with disabilities. For assistance, visit uoft.careers.utoronto.ca.