Assistant Professor - Computational Biology

The Department of Molecular Genetics, in the Temerty Faculty of Medicine at the University of Toronto (St. George campus), invites applications for a full-time, tenure stream faculty position in the area of computational biology, as applied to microbiology, parasitology and/or virology in the context of infectious disease. The appointment will be at the rank of Assistant Professor with an anticipated start date of September 1, 2022.

We seek candidates whose research program and interests complement and enhance our departmental strengths, which encompass computational biology, functional genomics, microbiology, and virology. Applicants must have earned a Ph.D. in Molecular Biology, Computational Biology, Microbiology, Virology, or a related discipline at the time of appointment, with a clearly demonstrated record of excellence in research and teaching. The successful candidate will be expected to pursue an innovative, competitive and independently funded research program at the highest international level.  The  candidate will be invited to become a key member of the Emerging and Pandemic Infection Consortium (EPIC; epic.utoronto.ca), a program that marshals the advanced research infrastructure and the world-renowned research and training expertise of the U of T and its affiliated hospital network to allow an integrated innovative response to infectious diseases. Applicants that will effectively use the University’s state-of-the-art containment level 3 facilities are particularly encouraged to apply. 

Candidates must provide strong evidence of research excellence of an internationally competitive caliber, as evidenced by a record of publications in leading journals in the field as well as presentations at significant conferences, the submitted research statement, accolades or awards, and strong endorsements by referees of high standing.  

The successful candidate will also undertake undergraduate and graduate teaching responsibilities on the University’s St. George campus. The candidate will participate in the Computational Biology in Molecular Genetics (CBMG) Ph.D. track, offered through the Department of Molecular Genetics. To this end candidates should provide a statement of teaching philosophy and interests that also highlight personal contributions to foster diversity and inclusion. Evidence of excellence in teaching will be provided through teaching accomplishments, the teaching dossier (with required materials outlined below) submitted as part of the application, evidence of superior performance in teaching-related activities, as well as strong letters of reference. Teaching-related activities can include performance as a teaching assistant or course instructor, experience leading successful workshops or seminars, student mentorship, or excellent conference presentations or posters.

The successful candidate will be appointed as a faculty member in the Department of Molecular Genetics in the Temerty Faculty of Medicine, and a cross-appointment will be sought in the Donnelly Centre for Cellular and Biomolecular Research.

Salary will be commensurate with qualifications and experience.

State-of-the-art research space will be provided at the Donnelly Centre and in one of the Molecular Genetics research nodes if relevant to the applicant’s research program, all of which are in the heart of downtown Toronto on the University of Toronto campus. The Department of Molecular Genetics (www.moleculargenetics.utoronto.ca) holds a leadership position in Canada and internationally as a premier venue for biomedical and life sciences research and education. The Donnelly Centre is an interdisciplinary research institute at the University of Toronto with the mandate to create a research environment that encourages integration of functional genomics, computer science, engineering and biology, and that spans leading areas of biomedical research (http://www.thedonnellycentre.utoronto.ca). The University of Toronto has one of the most concentrated biomedical research communities in the world, including 10 academic hospitals/research institutes that are all fully affiliated with the University. This community attracts more than $1.37B in annual research investment. Toronto is a vibrant and cosmopolitan city, one of the most desirable in the world in which to work and live, and a major centre for advanced computer, medical and biological technologies. World renowned in computer science, machine learning, and AI, the University of Toronto is home to the Vector Institute and the recently established Data Sciences Institute. Supporting high performance computing, the University is also host to SciNet, Canada’s largest supercomputing centre that includes an 80,000 core compute cluster.  

All qualified candidates are invited to apply online by clicking on the link below. Applications must include a cover letter, curriculum vitae, a recent writing sample, teaching dossier (to include a teaching statement, sample course materials, and teaching evaluations or evidence of superior performance in other teaching-related activities as listed above), and a statement outlining current and future research interests. 

Applicants must provide the name and contact information of three references. The University of Toronto’s recruiting tool will automatically solicit and collect letters of reference from each after an application is submitted (this happens overnight). Applicants remain responsible for ensuring that references submit letters (on letterhead, dated and signed) by the closing date. 

If you have questions about this position, please contact Dianne Wells at mogen.chair@utoronto.ca. All application materials must be submitted through the University of Toronto’s online application system. Submission guidelines can be found at UofT.me/how-to-apply. 

All application materials, including reference letters must be received by the closing date of February 22, 2022 11:59 pm EST. 

The University of Toronto is strongly committed to diversity within its community and especially welcomes applications from racialized persons/persons of colour, women, Indigenous/Aboriginal People of North America, persons with disabilities, LGBTQ2S+ persons, and others who may contribute to the further diversification of ideas.

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 process, please contact uoft.careers@utoronto.ca. In addition, the office of Health & Wellbeing Programs and Services assists with providing accommodation to persons with disabilities in the workplace.

The Canada Research Chairs Program requires institutions to collect self-identification data from all applicants, following the program’s best practices. This data is important to the University’s ability to ensure that researchers from diverse groups are able to benefit from participation in the program. As part of your application, you will be required to submit a brief Diversity Survey, accessed via the online application system. Applicants are encouraged to self-identify in any of the groups where applicable. While completion of the survey is required, providing answers to the individual survey questions is voluntary, and applicants can log a response indicating that they decline the survey. For more information, please see http://UofT.me/UP.

Any information directly related to you is confidential and cannot be accessed by search committees or human resources staff. Aggregated and anonymized data regarding the applicant pool will be reported only to the chair of the selection committee, the committee’s equity advisor, and a small number of staff members in the Division of the Vice-President, Research and Innovation, for purposes of program administration and to meet reporting requirements.  

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

For further details and to apply online, please visit: For further details and to apply online, please visit: 

https://jobs.utoronto.ca/job/Toronto-Assistant-Professor-Computational-Biology-ON/553996417