Postdoctoral Fellow Position in Human Inner Ear Computational Biology

Canadian Bioinformatics Workshops; Toronto; On-site; CAD 50,000 - 70,000; Full time

Job summary

An innovative research institute in Ontario is seeking a Postdoctoral Fellow in Human Inner Ear Computational Biology. The role involves leading bioinformatics projects and data analysis to advance therapeutic strategies for hearing loss. Applicants should have a recent PhD in a related field and strong programming skills. The position is full-time with opportunities for collaboration and professional growth.

Qualifications

• 0-2 years postdoctoral experience.
• Experience with bioinformatics and 'omic' datasets.
• First-author publications in high-quality journals.

Responsibilities

• Lead projects using single-cell and multi-omic sequencing.
• Interpret and visualize complex datasets.
• Contribute to research design and manuscript writing.

Skills

Bioinformatics

Programming (R and/or Python)

Statistics

Analytical skills

Problem-solving skills

Verbal communication

Written communication

Team collaboration

English fluency

Education

PhD or MD/PhD in computational biology or related discipline

Job description

Postdoctoral Fellow Position in Human Inner Ear Computational Biology

Sunnybrook Research Institute & University of Toronto, Toronto, Ontario, Canada

Full‑time, 2‑year renewable postdoctoral fellowship (PhD required). Position focuses on decoding the molecular landscape of the human inner ear during development and regeneration, translating findings to advance therapeutic strategies for hearing loss and balance dysfunction.

Responsibilities

• Lead projects using single‑cell and multi‑omic sequencing, performing bioinformatics analyses of single‑nuclei RNA‑seq and ATAC‑seq data.
• Interpret and visualize complex datasets, integrating results with experimental data.
• Contribute to research design, data management, tool development, manuscript and grant writing, and presentation at scientific meetings.
• Actively participate in collaborative projects, training initiatives, and group infrastructure development.

Qualifications

• Recent PhD or MD/PhD (0–2 years postdoctoral experience) in computational biology, bioinformatics, or closely related disciplines.
• Proven expertise in bioinformatics, statistics, and proficiency in programming (R and/or Python).
• Experience with ‘omic’ datasets (proteomics, transcriptomics, and/or epigenomics); snRNA‑seq and snATAC‑seq analysis preferred.
• First‑author publications in high‑quality journals.
• Excellent analytical, problem‑solving, written, and verbal communication skills.
• Ability to work independently and collaboratively.
• Fluency in English (written and spoken).

Preferred Skills

• Data quality control and large multi‑omic dataset management, high‑performance computing.
• Advanced data visualization, tool/method development, and presentation skills.
• Manuscript and grant preparation experience.
• Interest in mentoring and training team members.

Additional Information

Position is open and can start immediately, subject to mutual convenience.

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 [e-mail].

Posted on: November 3, 2025.