The Laboratory of Behavioural Neuroendocrinology at the Centre for Addiction and Mental Health (CAMH) is seeking a full-time, contract (6 months) Research Analyst to support the continued development of ConsensusConnectR, a consensus-based, no-code application for functional brain connectivity analysis. Funded by the Centre for Aging + Brain Health Innovation (CABHI) Ignite Program, this project will advance the application from a validated prototype toward a production-ready research tool. We aim to integrate use-cases with multiple imaging modalities (fMRI, EEG, and DTI), strengthening its graph-theoretic analysis pipeline, improving accessibility and computational performance, and delivering a peer-reviewed validation study. The Research Analyst will work closely with the Principal Investigator (PI) and the postdoctoral fellow who leads the project. The successful candidate will contribute to software development, scientific validation, and peer-reviewed publications, and will help ensure the project meets its scientific, administrative, and reporting obligations. This role requires strong initiative, critical thinking, and attention to detail, along with a proactive, collaborative working style. The successful candidate will contribute to a supportive and diverse research team and must adhere to all applicable ethical and regulatory guidelines.
Project Administration
Maintain version control (Git/GitHub) and organized, secure backups of project code, data, and documentation.
Ensure secure data storage and compliance with institutional and external requirements related to data sharing, ethics, intellectual property, and confidentiality with project obligations to CAMH, CABHI, and data providers.
Support the project's intellectual property and regulatory strategy, including freedom-to-operate analysis and data privacy and security requirements, in coordination with CAMH.
Track progress against quarterly CABHI milestones and contribute to internal and external reporting, including formal business-style reports to the funding agency.
Coordinate end-user engagement and beta testing and help recruit and onboard testers across imaging disciplines, schedule structured feedback sessions, and compile bug reports, feature requests, and testimonials.
Coordinate meetings with the project lead, stakeholders, potential end users, and advisory board meetings. This will require scheduling, agenda setting, and minute-taking
Software Development & Research
Extend ConsensusConnectR beyond single-timepoint analysis to support multiple timepoints, larger participant cohorts, and additional imaging modalities (fMRI, EEG, and DTI), including modality-specific data ingestion pipelines.
Implement and validate a comprehensive suite of graph-theoretic network measures (e.g., modularity, small-worldness, hub identification, and community detection) within the consensus framework.
Optimize computational performance and explore offline deployment options.
Implement accessibility features such as colour-blind-friendly palettes, screen-reader compatibility, tutorials, and flexible download and output options informed by structured usability testing with candidate end users.
Contribute to a validation study applying ConsensusConnectR to published datasets of varying scales, documenting reproducibility and the robustness of the consensus methodology.
Compile documentation of features, tests, and performance benchmarks, and contribute to manuscripts, preprints, and conference presentations.
Support deployment readiness, including hosting and authentication (ORCiD, institutional single sign-on), security and compliance, and reproducible release packaging (e.g., Docker).
Qualifications
The successful candidate will have a Bachelor's degree in computer science, biostatistics, bioinformatics, neuroscience, electrical engineering, artificial intelligence, or a related field, with at least one (1) year of relevant experience in research projects or industry.
Proficiency with Microsoft Office. Excellent organizational and interpersonal skills, including the ability to work independently and within cross-functional teams.
Programming proficiency in R. Experience building interactive applications with R Shiny or an equivalent framework is desirable.
Familiarity with neuroimaging data types and analysis principles.
Awareness of graph theory or network science, signal processing and time-series analysis, Docker containerization, and familiarity with tools such as the Brain Connectivity Toolbox, FSL, or MNE-Python.
Strong understanding of research ethics, data security, and intellectual property principles.
Ability to manage multiple priorities and maintain meticulous records in a fast-paced research environment.
Experience with version control (Git/GitHub) and reproducible research practices.
Salary Range: $27.95 - $37.28 per hour
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.
