Scientist (SRI) - Biological Sciences - Regular Full-time 2025-13250
Scientist (SRI) - Biological Sciences - Regular Full-time 2025-13250
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Job Description
SRI is the research enterprise of Sunnybrook Health Sciences Centre known as Sunnybrook Hospital a premier academic health sciences centre that is fully affiliated with the University of Toronto. Sunnybrook cares for 1.3 million patients each year emphasizing quality and patientcentered care. It is a leadingedge hospital recognized for its innovation and research particularly in brain health trauma care women and babies care and veterans care and for its strong commitment to teaching and learning. Sunnybrook conducts more than $100 million in breakthrough research annually with a focus on areas like brain health cancer immunology cardiovascular care and more. There are over 500 active clinical trials across all programs advancing research and patient care. Sunnybrook is committed to being an accessible workplace and has been named one of Canadas best employers.
SRI is home to 1000 scientists clinician scientists; research associates and more than 400 trainees operating in 500000 . of stateoftheart research space. It is situated in the Bayview campus of Sunnybrook Hospital which is located 10 km from downtown Toronto. Toronto is one of the most populous cities in Canada and is an international centre of business finance and culture with a thriving tech industry. Toronto is widely recognized as one of the most multicultural cities in the world home to over 250 different ethnic groups with over half of its residents born outside Canada. It also frequently appears on lists of the worlds most liveable cities and is recognized for its established ethnic neighborhoods and multicultural celebrations. The University of Toronto is the largest and most prestigious researchintensive university in Canada holding a prominent global position in academic research. Its considered a leading institution of learning discovery and knowledge creation and is recognized for its research output and global influence. Its consistently ranked among the top universities in the world for research output and citations. The University of Toronto has a large student population with over 65000 students on the Toronto campus alone and almost 100000 in total.
The Sunnybrook Research Institute (SRI) is currently seeking a candidate for a Scientist position in the Biological Sciences Platform. Academic appointments will be made in the Faculty of Medicine University of Toronto at the Assistant or Associate Professor level and will be commensurate with experience. The term of the appointment will be three years and is renewable in accordance with Hospital and University policies.
If you are interested in this exciting opportunity to build a career in an innovative and dynamic organization submit you application package as follows:
1) A letter of interest (maximum 2 pages). The letter should describe the applicants research accomplishments their prospective research and a statement on their commitment to equity diversity and inclusion.
2) An academic curriculum vitae (maximum 5 pages) in the NIH Biosketch format that highlights 35 key publications professional services outreach mentoring / training of highly qualified personnel and other contributions appropriate to the specific position.
3) Names and contact details for 3 references
Please submit your complete application package to Cassandra Cheng () with subject line Scientist Biological Sciences.
The selection committee will be chaired by Dr. Carol Schuurmans. They will consider applications beginning June 15 2025. This post will stay active until the position is filled. We would like to thank all applicants but only those selected for an interview will be contacted. All qualified candidates are encouraged to apply; however Canadians and permanent residents will be given priority.
Evaluation criteria:
- Academic qualifications (PhD or MD)
- Academic track record of publications funding awards according to career stage
- Research plan that aligns with SRIs research strengths
- A commitment to EDI outreach etc. that will positively contribute to SRI
Diversity Statement: Sunnybrook Research Institute is strongly committed to inclusion and diversity within its community and welcomes all applicants including but not limited to women visible minorities or persons of colour Indigenous peoples people from all genders religions and ethnicities persons with disabilities LGBTQ persons and all others who may contribute to the further diversification of ideas.
Career Interruptions: Sunnybrook Research Institute recognizes that scientists have varying career paths and understands the impact that career interruptions can have on a candidates record of research achievement. Candidates are encouraged to explain any interruptions to allow for a fair assessment of their application. Selection committee members have been instructed to carefully consider and be sensitive to the impact of career interruptions in their assessments.
Accommodation Policy: Sunnybrook Research Institute is committed to providing accessible employment practices that are following the Accessibility for Ontarians with Disabilities Act (AODA). If you require accommodation for disability during any stage of the recruitment process please indicate in an email to Heather Soberman Director of Strategy & Research Services (a).
Summary of Duties:
The candidate will develop a research program that will span different disease areas that are core strengths at SRI such as cancer immunology neuroscience and regenerative medicine. They will lead an independent academic program of research excellence in computational and data sciences. They are expected to support their research through competitive external funding awards. In addition thesuccessful candidate will be expected to establish a core facility to support the computational needs of other scientists within SRI.
Requirements include:
- Experience with genomics singlecell and spatial omics multiomics integration modeling of dynamic cellular interactions and systems biology approaches to assess interaction networks are required.
- Strong interpersonal time management and organizational skills.
- Strong oral and written communication skills and attention to detail.
- Demonstrated proficiency in analysis pipelines workflows and algorithms used to streamline data analysis and their customization and adaptation. Expertise in diagnostic/prognostic prediction models is desirable.
- Demonstrated knowledge of research regulations and guidelines for computational studies
Qualifications:
- Successful completion of PhD and/or MD
- demonstrable scientific leadership in the field of computational biology and a proven track record in publishing high quality peer reviewed research.
- At least 5 years of postPhD training as a postdoctoral fellow or junior faculty member
Employment Type
Full-Time
