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Job Post Details

Scientific Associate - Pre-clinical Research - job post

CAMH
3.8 out of 5 stars
Toronto, ON
$93,822.73–$140,734.09 a year - Full-time
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Job details

Pay

  • $93,822.73–$140,734.09 a year

Job type

  • Full-time

Location

Toronto, ON

Full job description

CAMH’s Campbell Family Mental Health Research Institute (CFMHRI) is seeking a full-time, permanent Scientific Associate specializing in neural data systems and behavioral analytics. The Scientific Associate will serve as a central technical and scientific lead within the laboratory, with primary responsibility for developing, standardizing, and maintaining pipelines for neural and behavioral data acquisition, analysis, documentation, and open data sharing. This role integrates data engineering, experimental design, and personnel training to ensure rigor, reproducibility, and scalability of research operations. The Scientific Associate will also lead efforts to implement and validate emerging technologies for behavioral tracking and pose estimation, and to integrate these measures with neural recordings. Reporting to the Principal Investigator, this position will play a key role in shaping lab-wide infrastructure and mentoring trainees in best practices across experimental and computational workflows.


Responsibilities

Design, implement, and maintain scalable pipelines for neural and behavioral data acquisition, processing, and analysis (e.g., electrophysiology, photometry, video-based tracking).

Develop standardized workflows for data organization, versioning, and documentation to ensure reproducibility and long-term accessibility.

Lead implementation of open science practices, including dataset curation, metadata standards, and public data sharing.

Integrate multimodal datasets (neural, behavioral, anatomical) into cohesive analysis frameworks.

Evaluate, implement, and validate new hardware and software platforms for behavioral tracking, pose estimation, and neural data acquisition.

Build and optimize custom experimental systems (e.g., synchronized neural-behavioral recording setups).

Establish benchmarking and validation protocols for new tools and methodologies.

Expand lab capacity for high-throughput and high-resolution behavioral phenotyping.

Provide hands-on mentorship and troubleshooting support across projects.

Serve as the primary point of contact for troubleshooting experimental and data pipeline issues.

Contribute to onboarding and technical training of new lab members

Develop and deliver structured training programs for students and staff in:

Contribute to experimental design, particularly where integration of neural and behavioral data is required.

Support grant applications and methods development in areas related to data systems and behavioral analysis.

Establish and maintain lab-wide SOPs for experimental and computational workflows.

Establish and enforce standards for data integrity, documentation, and reproducibility across all lab projects.

Audit data pipelines and workflows to ensure compliance with best practices and funding agency requirements.

Generate internal documentation and reports on data systems and lab infrastructure.


Qualifications

PhD in biological, medical, neuroscience, or computer science.

1 years of relevant research experience.

Experience gained during graduate studies or postdoctoral training, including conducting experiments, data collection and analysis, and research publication

Extensive experience with rodent stereotaxic survival surgeries, in vivo neural recording techniques, and behavioral assays.

Demonstrated expertise in scientific programming languages (e.g., Python, MATLAB, R, MED-PC), image analysis (e.g. ImageJ/FIJI, Brainglobe) and machine learning-based behavioral analysis tools (e.g., SLEAP, SimBA).

Experience building or integrating experimental hardware and data acquisition systems strongly preferred.

A record of contributions to scientific publications.

Proven track record of mentoring trainees and advising others in developing technical workflows.

Ability to collaborate effectively with colleagues and the scientific community.

Demonstrated ability to interact with populations of diverse ethno-racial and cultural backgrounds

Compensation & Benefits:

  • Salary is competitive and based on experience, with a hiring range of $93,822.73 – $117,278.41 per year.
  • Employees in this role may progress within the full pay range of $93,822.73 – $140,734.09 per year
  • CAMH’s Total Rewards : Includes participation in HOOPP defined benefit pension plan , flexible work arrangements, and ongoing professional development support.

This role allows professionals to apply their expertise in a mission-driven environment dedicated to public health outcomes.

CAMH is a fully affiliated teaching hospital and research institute of the University of Toronto. As a CAMH employee, you will contribute to our mission by supporting teaching, research, and clinical care across the hospital. CAMH is dedicated to equity, diversity, and inclusion. Our commitment is to foster a workplace, teaching, and learning environment that is inclusive, respectful, and free from discrimination or harassment.

CAMH strongly encourages applications from candidates who reflect the diversity of the communities we serve, including First Nations, Métis, and Inuit Peoples; Black and other racialized communities; LGBTQ2S+ communities; women; and people with disabilities, including those with lived experience of mental health and substance use challenges.

We welcome applicants from all backgrounds. Thank you to all who apply; however, only those selected for an interview will be contacted. If you require accommodations during the application or recruitment process, please let us know.

CAMH est un hôpital universitaire et un institut de recherche pleinement affiliés à l'Université de Toronto. En tant qu'employé de CAMH, vous contribuerez à notre mission en soutenant l'enseignement, la recherche et les soins cliniques à travers l'hôpital.
CAMH est dédié à l'équité, à la diversité et à l'inclusion. Notre engagement est de favoriser un environnement de travail, d'enseignement et d'apprentissage qui soit inclusif, respectueux et exempt de discrimination ou de harcèlement.

CAMH encourage fortement les candidatures de candidats qui reflètent la diversité des communautés que nous servons, y compris les Premières Nations, les Métis et les Inuits; les communautés noires et autres communautés racialisées; les communautés LGBTQ2S+; les femmes; et les personnes en situation de handicap, y compris celles ayant une expérience vécue des défis en matière de santé mentale et d'usage de substances.

Nous accueillons les candidatures de toutes origines. Merci à tous ceux qui postulent ; cependant, seuls les candidats sélectionnés pour un entretien seront contactés. Si vous avez besoin d'aménagements pendant le processus de candidature ou de recrutement, veuillez nous en informer

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