Research Assistant (SRI) Physical Sciences Casual

Sunnybrook Health Sciences Centre

Job Location:

Toronto - Canada

Monthly Salary: Not Disclosed

Posted on: 13 hours ago

Vacancies: 1 Vacancy

Job Summary

One of Canadas Top 10 Research Hospitals Sunnybrook Research Institute is developing innovations in care for the more than 1.3 million patients the hospital cares for annually.

Sunnybrook Research Institute is the research enterprise of Sunnybrook Health Sciences Centre a teaching hospital fully affiliated with the University of Toronto. Research spans three Toronto-based campuses eight programs and three scientific platforms. Our main aims are to understand and prevent disease and to develop treatments that enhance and extend life. Our vision is to invent the future of health care. Each year we conduct about $100 million in research across 500000 square feet including in the worlds first Centre for Research in Image-Guided Therapeutics.

The Artificial Intelligence and Computational Neurosciences (AICONS) Lab and the Functional Brain Imaging Lab at Sunnybrook Research Institute and the University of Toronto are seeking a research assistant to work on neurocomputational projects under the supervision of Drs. Maged Goubran and Bojana Stefanovic. Our labs develop novel computational and imaging tools to probe and predict neuronal and vascular circuit alterations in Alzheimers disease (AD) stroke and traumatic brain injury (TBI). Projects will involve developing novel pipelines and AI models for analyzing cutting-edge microscopy (light sheet and two-photon) and electrophysiological data. The candidate will also assist in optimizing our current computational pipelines (eg MIRACL) used by collaborating groups across Canada and internationally.

Our labs consist of a diverse multidisciplinary team of engineers neuroscientists physicists and computer scientists. This dynamic and collegial research environment offers opportunities to contribute to the development of pioneering computational and imaging tools for understanding neurodegenerative diseases. The successful candidate will work independently and collaboratively with other staff (software developers research assistants and technicians) postdocs and graduate and undergraduate students in both labs. We closely collaborate with a diverse and multidisciplinary team of researchers including biologists neurologists radiologists psychiatrists and neurosurgeons. There will be opportunities to contribute to multiple publications and conference abstracts as well as present work at conferences.

The ideal candidate will possess a or PhD in medical biophysics computer science biomedical engineering neuroscience or a related discipline along with prior research experience in neuroimaging or AI. Preference will be given to candidates who have experience working with large and complex microscopy datasets neuroimaging analyses and machine learning frameworks (e.g. PyTorch Sci-Kit Learn and TensorFlow).

Key Responsibilities

Support ongoing and new research projects including data analysis and interpretation figure generation and preparation of manuscripts for peer-reviewed publication
Assist in the management processing and analysis of large-scale microscopy and electrophysiology datasets.
Design and implement data analysis workflows leveraging existing lab frameworks and tools (e.g. MIRACL/ACE).
Aid in the development and testing of AI models and neuroimaging processing pipelines.
Contribute to research projects and publish papers.

Qualifications

Graduate degree in Computer Science Biomedical Engineering Neuroscience or a closely related field (. required; Ph.D. completed or near completion preferred).
Minimum of two years of research experience in computational neuroscience medical imaging or a related domain.
Computer programming experience with demonstrated skills in Python.
Working knowledge of Linux-based environments including shell scripting and high-performance computing workflows.
Experience with machine learning/deep learning (e.g. Keras PyTorch Sci-Kit Learn TensorFlow).
Python software packaging virtual environments Anaconda/Conda Jupyter/IPython

Assets

Working knowledge of neuroimaging software and toolkits (e.g. Freesurfer FSL ITK MRtrix).
Experience with version control systems such as Git.
Self-starter with proven ability to learn quickly and work independently.

Application screening will continue until a suitable candidate is identified.

We appreciate your interest in advance. Only those candidates selected for an interview will be contacted. No phone calls please.

More information about the Sunnybrook Research Institute can be found at: Sunnybrook Research Institute 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.

Sunnybrook Research Institute is strongly committed to inclusion and diversity within its community and welcomes all applicants including but not limited to: visible minorities all religions and ethnicities persons with disabilities LGBTQ persons and all others who may contribute to the further diversification of ideas.

Links

Sunnybrook Research Institute
University of Toronto
Medical Biophysics Goubran profile

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.

Required Experience:

Junior IC

One of Canadas Top 10 Research Hospitals Sunnybrook Research Institute is developing innovations in care for the more than 1.3 million patients the hospital cares for annually.Sunnybrook Research Institute is the research enterprise of Sunnybrook Health Sciences Centre a teaching hospital fully affi...