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Computer Science Neuroscience Jobs in Ontario (NOW HIRING)

D. in Computer Science, Engineering, Neuroscience, Robotics, or a related field. Experience: 5+ years of professional experience in Python development, including deploying machine learning or ...

Cognitive Neuroscience, Aging and Brain Health, Alzheimer's and Related Diseases, Computational ... Bachelor degree in Computer Science. Required skills/experience: * Skilled in Python, HTML, Apache ...

Who we are: Creyos (formerly Cambridge Brain Sciences) is a leading growth-stage B2B SaaS ... neuroscientist. We are proud to say that you will be surrounded by some of the smartest ...

Who we are: Creyos (formerly Cambridge Brain Sciences) is a leading growth-stage B2B SaaS ... neuroscientist. We are proud to say that you will be surrounded by some of the smartest ...

Computer Science Neuroscience information

See Ontario salary details

$20.5K

$69.6K

$147K

How much do computer science neuroscience jobs pay per year?

As of Aug 11, 2026, the average yearly pay for computer science neuroscience in Ontario is $69,564.00, according to ZipRecruiter salary data. Most workers in this role earn between $43,500.00 and $95,000.00 per year, depending on experience, location, and employer.

What is a computer science neuroscience?

A Computer Science Neuroscience job involves applying computational techniques to understand the brain and develop neurotechnology. Professionals in this field work on brain-computer interfaces, machine learning models for neuroscience, and neural data analysis. They may contribute to fields like artificial intelligence, cognitive computing, medical imaging, and neuroprosthetics. This interdisciplinary role is common in research labs, healthcare, and tech companies focused on AI and neuroscience applications.

Is computer science good for neuroscience?

Computer science is highly valuable for neuroscience, as it provides skills in programming, data analysis, and modeling that are essential for understanding complex neural systems. Many neuroscience roles involve developing algorithms, using machine learning, and working with large datasets, making computer science expertise a strong asset in the field.

What are the key skills and qualifications needed to thrive in computer science neuroscience, and why are they important?

To thrive in a Computer Science Neuroscience role, you need a strong background in both programming (such as Python, MATLAB, or R) and neuroscience concepts, often supported by an advanced degree in a relevant field. Experience with data analysis tools, neuroimaging software (like fMRI or EEG platforms), and machine learning libraries is highly valued. Critical thinking, problem-solving abilities, and strong interdisciplinary communication are important soft skills for success in this space. These competencies enable professionals to bridge the gap between technology and brain science, driving innovation in research and applied settings.

What jobs does computer science neuroscience have?

Computer science neuroscience graduates can pursue roles such as computational neuroscientist, neuroinformatics specialist, machine learning engineer for brain data, or research scientist in cognitive computing. These jobs often require skills in programming, data analysis, and understanding of neural systems, and may involve working in research labs, tech companies, or healthcare settings.

What types of projects or research might I work on in a computer science neuroscience role?

In a Computer Science Neuroscience position, you could be involved in projects such as developing algorithms for analyzing neural data, implementing machine learning models to predict cognitive states, or building software tools for brain imaging analysis. Many roles also involve collaborating closely with neuroscientists, physicians, and engineers to design experiments and interpret complex datasets. The work is often highly interdisciplinary, blending computational innovation with fundamental scientific discovery. Depending on the organization, you may participate in academic research, clinical studies, or the development of neurotechnology products. This makes for a dynamic work environment with opportunities to contribute to cutting-edge advancements in brain science.

What are popular job titles related to Computer Science Neuroscience jobs in Ontario? For Computer Science Neuroscience jobs in Ontario, the most frequently searched job titles are:
Infographic showing various Computer Science Neuroscience job openings in Ontario as of August 2026, with employment types broken down into 1% Internship, 1% As Needed, 73% Full Time, 22% Part Time, 2% Contract, and 1% Nights. Highlights an 92% Physical, 2% Hybrid, and 6% Remote job distribution, with an average salary of $69,564 per year, or $33.4 per hour.

Associate Professor/Professor - Krembil Chair in Neuroscience and Mental Health

University of Toronto

Toronto, ON • On-site

CA$200K/yr

Full-time

Re-posted 29 days ago


Job description

Date Posted: 06/11/2026
Closing Date: 09/08/2026, 11:59PM ET, Open Until Filled
Req ID: 48488
Job Category: Faculty - Clinical
Faculty/Division: Temerty Faculty of Medicine
Department: Dept of Psychiatry
Hospital Affiliation: Centre for Addiction & Mental Health and/or University Health Network
Campus: St. George (Downtown Toronto)

Description:

The Department of Psychiatry in the Temerty Faculty of Medicine at the University of Toronto invites applications for the Krembil Chair in Neuroscience and Mental Health. The successful candidate must currently hold, or be eligible for, a Full-Time Clinical (MD) or Status-Only (PhD) academic appointment with the Temerty Faculty of Medicine, University of Toronto, at the rank of Professor; Associate Professors may also be considered based on their experience and accomplishments. The Chair will be held for a five-year term with the opportunity for one 5-year renewal following a successful review. The anticipated start date is January 1, 2027, or on a mutually agreed upon date. 

The Chairholder will advance transformative neuroscience research to deepen our understanding of mental health and brain science and improve outcomes for individuals living with mental disorders. The Chairholder will build and foster interdisciplinary collaboration across neuroscience, psychiatry, psychology, engineering, data science, genetics, and other related disciplines to accelerate discovery and translation from brain science to clinical impact. The successful candidate will be an internationally recognized scientist with a strong record of independent research in mental health and brain science. The successful candidate's research excellence must be evidenced by collaborations and peer-reviewed publications in leading journals. A track record of collaborative science, productivity, and leadership is essential. 

The Chairholder is expected to:

  • Contribute significantly to the body of scholarship and advancement of mental health and brain science research.
  • Provide leadership in advancing approaches to the understanding, prevention, diagnosis, and treatment of mental disorders, while fostering high-impact neuroscience research that informs clinical practice, policy, and patient outcomes
  • Lead and advance a comprehensive research program leveraging discoveries in neuroscience to improve the prevention, diagnosis, and treatment of mental disorders.
  • Mentor and cultivate the next generation of researchers in mental health and neuroscience, fostering innovation, collaboration, and excellence.
  • Build and strengthen inclusive and collaborative national and international partnerships with a broad range of stakeholders to advance neuroscience research, innovation, and impact in the treatment of mental disorders.


Scientists who are contributing significantly to the body of scholarship and advancement of mental health and brain science, with an international reputation in their field, are encouraged to apply. The successful candidate must have a strong research focus and hold either an MD or a PhD in a relevant discipline with significant expertise in this area of research. If a practicing physician, the candidate must hold an MD, MBBS, or equivalent degree and already be certified or be eligible for certification by the Royal College of Physicians and Surgeons of Canada or have comparable qualifications; and the candidate must also hold or be eligible for licensure with the College of Physicians and Surgeons of Ontario. 


The Chair will be based at one of the nine fully-affiliated TAHSN hospitals. If the Chairholder is a practicing physician, they are expected to become a member of the hospital's academic practice plan and will be entitled to additional support for their clinical activities.  Total compensation will depend on the amount of clinical work performed (estimated based on fee for service billing).   The salary will be commensurate with qualifications and experience. The salary range of this position exceeds $200,000 CAD per annum.

U of T has one of the strongest research and teaching faculties in North America, and is consistently ranked as the top Canadian university in international rankings. The Toronto Academic Health Science Network (TAHSN), composed of the University and its nine fully affiliated institutes, is one of the world's largest, most productive academic health science centres.

For more information on the Department of Psychiatry please visit the website www.psychiatry.utoronto.ca

Application Instructions:

Interested and qualified candidates are invited to apply by submitting a package including:

  • A cover letter (two pages maximum)
  • A current curriculum vitae
  • Names and contact information of three referees

Applications must be submitted as a single PDF and sent via email to:

Dr. Simone Vigod, Labatt Family Chair of the Department of Psychiatry
Temerty Faculty of Medicine, University of Toronto

c/o Rachel Delaney
Faculty Engagement and Academic Affairs Officer
email: rachel.delaney@utoronto.ca 

CAUTION: This ad is "posted only" to the U of T affiliated hospital job board. Please see the information directly above for the application instructions; applications submitted via the "Apply Now" button on this page will NOT be considered for this position.