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Posted 7 months ago

Research Assistant (SRI) - Physical Sciences - Regular Full-time 2026-16989

@ Sunnybrook Health Sciences Centre

Toronto, Ontario

Full-time
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Overview

Sunnybrook Health Sciences Centre is hiring a full-time Research Assistant for the Goubran, Hynynen, and Davidson labs at the Sunnybrook Research Institute, University of Toronto. The role builds neuroimaging pipelines and analyzes fMRI data for focused ultrasound neuromodulation studies in rabbits and humans. The posting requires a relevant degree, Python programming, and intermediate neuroimaging and Linux skills.

Responsibilities:

  • Develop and optimize neuroimaging pipelines for preclinical and clinical fMRI
  • Process and statistically analyze medical images
  • Write and submit REB applications and administrative documents
  • Contribute to publications, grant writing, and international collaborations
  • Present research at conferences and workshops

Requirements summary:

  • Post-secondary degree in computer science, biomedical engineering, bioinformatics, or related field (M.Sc. preferred)
  • Python programming experience
  • Intermediate knowledge of neuroimaging software such as Freesurfer, FSL, and fMRIPrep
  • Intermediate Linux and shell scripting skills
  • Ability to work independently and collaboratively
  • Excellent English communication skills

Tools & skills

Source and dates

Source type not verified · talcura

Employer posting date
2026-04-08
First seen by our source
2026-10-11
Source record updated
2026-10-18

These dates describe the source record, not a live verification that the employer is still hiring. Check the original posting.

Job details

SeniorityEntry level
DepartmentResearch & science
Hours per week40 (estimated)
Work settingLaboratory, Office
PositionMostly sitting
Physical demandsphysical low · computer high
LanguagesEnglish
EducationBachelor’s degree (required), Master’s degree (preferred)
Fields of studyComputer science, Biomedical engineering, Bioinformatics, Computational neuroscience

Summary and details written by AI from the posting; the employer’s posting is the authority.

Sunnybrook Health Sciences Centre

FieldValue
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Job description

The Goubran, Hynynen, and Davidson labs at the Sunnybrook Research Institute, University of Toronto, are seeking a motivated Research Assistant to work on a range of projects at the intersection of neuromodulation, neuroimaging, and focused ultrasound (FUS). Our interdisciplinary teams lead several clinical and preclinical studies at Sunnybrook centred on developing and characterizing treatment strategies for brain disorders, including FUS neuromodulation exposures for depression and obsessive compulsive disorder. You will be involved with a broad range of tasks, including the development and optimization of a neuroimaging pipeline to analyze fMRI data from rabbits. This pipeline will be critical in assessing the impacts of FUS neuromodulation exposures on brain function prior to clinical translation. Other tasks will include processing/statistical analysis of medical images (particularly fMRI preprocessing and analysis), optimizing computational pipelines, building an imaging database, maintaining repositories, and contributing to publications. We collaborate with a diverse and multidisciplinary team of researchers, including computer scientists, physicists, neurologists, radiologists, and neuroscientists, within a dynamic and collegial environment.

Summary of Duties:

  1. Developing and optimizing a neuroimaging pipeline for rabbits and computational tools to analyze preclinical fMRI data.
  2. Similarly, developing and optimizing neuroimaging pipelines in human clinical trials.
  3. Contributing to research projects, international collaborations, grant writing, and publishing papers.
  4. Writing and submitting REB applications and other administrative tasks.
  5. Presenting at conferences and workshops.

Qualifications:

  • Post-secondary degree in computer science, biomedical engineering, bioinformatics, computational neuroscience, or a related discipline (M.Sc. preferred).
  • Computer programming experience, with demonstrated skills in Python.
  • Intermediate knowledge of neuroimaging software and toolkits (e.g., Freesurfer, FSL, ITK, fMRIPrep, CONN)
  • Intermediate knowledge of Linux, including shell scripting.
  • Proven ability to work independently as well as collaboratively.
  • Excellent verbal and written communication skills in English.

Assets:

  • Experience with resting-state or task fMRI data and analyses
  • Python software packaging, virtual environments, High-Performance Computing (Slurm), Docker, Jupyter/IPython.
  • Experience with systems architecture/imaging databases for computational pipeline design.
  • Experience with version control systems, such as Git.
  • Prior research experience (course-based allowed).
  • Experience with biostatistics/statistical analysis and Python/R or equivalent software.
  • Experience with Machine Learning model development and evaluation.

To apply for this position, please follow the link:

Send a (1) cover letter (max. 1/2 page), (2) Curriculum Vitae, (3) (un-)official transcript, and (4) the contact info of three potential references.

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