Post-Doctoral Fellow (SRI) - Biological Sciences - Temporary Full-time 2025-15356

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Date Posted: 10/29/2025

Location: Toronto, ON, Canada

Reference No.: 2025-15356

Position Type: Temporary full-time

Department: Sunnybrook Research Institute

FTE Status: 1.00

Hours of Work: 8 hrs

Campus Site: Bayview

Shifts Weekday Required: Days

Shifts Weekend Required: No Weekends

Statutory Holiday(s) Required: No

A 2-year (renewable) full-time postdoctoral fellowship is available in the laboratory of Prof. Alain Dabdoub. The position focuses on decoding the molecular landscape of the human inner ear during development and regeneration and translating these findings to advance therapeutic strategies. Our research investigates mechanisms that regulate auditory and vestibular homeostasis, the regeneration of sensory hair cells, stria vascularis, and auditory neurons as well as the implications for therapies and understanding disorders associated with aging, hearing loss, and balance dysfunction. Our projects combine state-of-the-art computational tools and cutting-edge biological experiments.

 

Position, Eligibility, and Start Dates

The successful candidate will benefit from a multidisciplinary, collaborative environment, strong mentorship, and access to top-tier facilities. They will take a lead role in projects using single-cell and multiomic sequencing, as well as advanced computational tools. Primary responsibilities will include bioinformatics analyses, with a focus on single-nuclei RNA- and ATAC-seq, interpretation and visualization of complex datasets, and integration with experimental results. Candidates will contribute to research design, data management, analysis, tool development, manuscript and grant writing, and presentations at scientific meetings. Active participation in collaborative projects, training initiatives, and group infrastructure development is expected. This opportunity welcomes applications from all qualified candidates, and the position is open and can start as soon as mutually convenient.

 

Qualifications:

  • Recent PhD or MD/PhD (0–2 years postdoctoral experience) in computational biology, bioinformatics, or closely related disciplines. Demonstrated expertise in bioinformatics, statistics, and proficiency in programming (e.g., R and/or Python)
  • Experience with ‘omic’ datasets: proteomics, transcriptomics and/or epigenomics (snRNA-seq, snATAC-seq analysis preferred)
  • Proven track record of first-author publications in high-quality journals
  • Excellent analytical, problem-solving, written, and verbal communication skills
  • Ability to work independently, as well as in a collaborative, multidisciplinary environment
  • Fluency in English (written and spoken)

 

Preferred Skills

  • Experience with data quality control, large multiomic dataset management, and high-performance computing
  • Advanced data visualization, tool/methods development, and presentation skills
  • Participation in manuscript and grant preparation
  • Interest in mentoring and training team members

 

Application Process
Please submit a single PDF including:

  • Cover letter (with reasons for applying)
  • Full CV (including thesis details, academic distinctions, and publication list)
  • Brief statement of previous work, career goals, and research interests (max 1 page)
  • Contact information for at least two referees

 

Send applications to Prof. Alain Dabdoub at Alain.Dabdoub@sri.utoronto.ca

If you are looking for an exciting opportunity and to build a career in an innovative and dynamic organization, submit your resume by clicking on Apply Now below. 

Sunnybrook Health Sciences Centre is committed to providing accessible employment practices that are in compliance with the Accessibility for Ontarians with Disabilities Act (AODA). If you require accommodation for disability during any stage of the recruitment process, please indicate this in your cover letter.


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We thank all applicants for their interest. However, only candidates selected for an interview will be contacted. Sunnybrook Health Sciences Centre is an equal opportunity employer.

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