Staff - Non Union
Job Category
M&P - AAPS
Job Profile
AAPS Salaried - Statistical Analysis, Level C
Job Title
Senior Computational Neuroimaging & Neuroinformatics Data Manager
Department
Bjornson Laboratory | Department of Paediatrics | Faculty of Medicine
Compensation Range
$8,305.08 - $12,952.33 CAD Monthly
The Compensation Range is the span between the minimum and maximum base salary for a position. The midpoint of the range is approximately halfway between the minimum and the maximum and represents an employee that possesses full job knowledge, qualifications and experience for the position. In the normal course, employees will be hired, transferred or promoted between the minimum and midpoint of the salary range for a job.
Posting End Date
July 28, 2025
Note:Applications will be accepted until 11:59 PM on the Posting End Date.
Job End Date
Jul 31, 2026
This position is expected to be filled by promotion/reassignment and is included here to inform you of its vacancy at the University.
This offer is conditional upon successful completion of a Criminal Record Check.
Note: Only the Full Time Compensation Range is displayed on the job posting details advertised on the UBC Career sites.
Preamble and Context:
Pediatric neuroimaging research has accelerated the demand for engagement in large multi-centre translational clinical research studies, to enable integrated data exploration and prediction models across diverse sets of retrospective and prospective research databases, integrating multimodal data from neuroimaging, neurophysiology, cellular and molecular neurobiology and neurogenomics. These studies require secure curation and analysis solutions that ensure regulatory compliance and long-term interoperability across the diversity of research data. The role of the Senior Computational Neuroimaging & Neuroinformatics Data Manager is to support the Brain Mapping and Neuroinformatics Lab at the BCCH MRI Research Facility by providing pediatric neuroimaging researchers with robust, reproducible and complex neuroimaging data management and analysis solutions.
About the Organization:
BC Children’s Hospital MRI Research Facility:
The BC Children’s Hospital MRI Research Facility is conveniently located on the campus of the BC Children’s Hospital (the only pediatric hospital serving British Columbia and the Yukon), Sunny Hill Health Centre (BC’s pediatric rehabilitation centre) and the BC Women’s Hospital and Health Centre (BC’s only tertiary maternity care facility).
The BC Children’s Hospital MRI Research Facility is a core facility of the BC Children’s Hospital Research Institute. Proximity and close-working relationships with clinical programs on-site provide researchers with the ability to engage neonates, children and youth in healthcare research in a child-friendly environment that respects their needs.
Founded in 2012 with funding awarded by the Canada Foundation for Innovation, the BC Knowledge Development Fund, the BC Children’s Hospital Foundation, Mining for Miracles, and the Provincial Health Services Authority, the BCCH MRI Research Facility is the only clinically accredited, translational pediatric MRI research facility in Western Canada.
The uniquely developed resources available to researchers at the MRI Research Facility facilitate pediatric MRI research, technology development, and healthcare innovation.
Brain Mapping & Neuroinformatics Lab:
The establishment at BC Children’s Hospital of a dedicated pediatric 3T MRI research facility and functional MRI brain mapping laboratory was the result of strategic long-term infrastructure and network development involving many highly valued colleagues, collaborators, partners, leaders, and sponsors. The vision to establish a pediatric MRI research facility at BC Children’s Hospital began in 1993 and led to establishment of the Brain Mapping & Neuroinformatics Lab at the BCCH MRI Research Facility (originally established as the Children’s Brain Mapping Centre).
For three decades, the Brain Mapping & Neuroinformatic Lab team has led pediatric brain mapping and functional MRI research infrastructure development at BC Children’s Hospital, facilitating pediatric MRI research, technology development and healthcare innovation, using child-friendly, non-invasive advanced MRI methodology to enhance neurological care of children with brain injury, strokes, brain tumours, epilepsy, and other high-impact neurological disorders.
Level Definition:
Reporting to the Director of the Brain Mapping and Neuroinformatics Lab at the BC Children's Hospital MRI Research Facility, the Senior Computational Neuroimaging & Neuroinformatics Data Manager plays a pivotal role in advancing brain mapping research and pediatric MRI data science within the organization. This senior-level position collaborates closely with interdisciplinary teams, leading brain mapping and MRI data science initiatives, ensuring data integrity and driving innovation in pediatric imaging data management practices.
The Senior Computational Neuroimaging & Neuroinformatics Data Manager is a senior member of the Brain Mapping and Neuroinformatics Lab and will continue to expand and enhance pediatric neuroimaging research infrastructure as part of the management team at the BCCH MRI Research Facility 3T Pediatric Research Imaging Suite by (1) supporting pediatric neuroimaging research at BC Children’s Hospital, advancing pediatric MRI science, brain mapping, neuroinformatics and data science; (2) enhancing pediatric MRI investigator and learner support, scholarship and education; and (3) increasing participation in collaborative multisite pediatric MRI research projects and networks as outlined below.
Responsibilities:
1. Project Planning for the Brain Mapping & Neuroinformatics Lab at the BCCH MRI Research Facility:
- Develop and coordinate scientific funding applications to support the continued development of the Brain Mapping & Neuroinformatics Lab and Pediatric MRI Research Suite at the BCCH MRI Research Facility.
- Expand collaborative clinical pediatric neuroimaging research funding linked with the Brain Mapping & Neuroinformatics Lab.
2. Leadership in Pediatric MRI Data Science, Neuroinformatics, and MRI Research Data Curation:
- Lead the integrated, multimodal pediatric neuroimaging data management portfolio of the Brain Mapping & Neuroinformatics Lab, adapting to evolving project needs.
- Develop data management budgets for MRI projects in collaboration with financial administrators and project investigators.
- Ensure adherence to data management standards, regulatory guidelines, and international data capture and security protocols.
- Standardize and optimize pediatric MRI data management practices across the organization, in accordance with current best practices.
- Develop and implement pediatric MRI data management Standard Operating Procedures (SOPs) and ensure regulatory compliance.
- Anticipate and analyze technological trends, assessing their impact on pediatric brain mapping and MRI data management.
3. MRI Scholar Support, Project Facilitation, and Education:
- In collaboration with BCCH MRI Research Facility leadership, plan the establishment of a new Pediatric MRI Scholar Support Unit to provide consultation and education support for the Pediatric 3T MRI Suite and to accelerate the growth of MRI research activity at BCCH, commensurate with institutional funding.
- Consult with investigators to provide data specialist services to design, plan, analyze, research, identify, and recommend data management budgets and solutions to enhance pediatric MRI research projects.
- Evaluate existing and emerging MRI technologies, including use of artificial intelligence, and perform risk/impact analyses in support of the planning, system development, enhancement, and maintenance of new and existing complementary technologies.
- Develop methodologies for improving neuroimaging data analysis and curation procedures and coordinate implementation of those methodologies.
4. Enhancement of Pediatric MRI Brain Mapping Technology, with Integration and Curation of Multimodal Pediatric Brain Mapping Data:
- Design and perform quality control of large cohort clinical research databases using best practices with existing solutions and, where needed, develop custom solutions.
- Implement the creation of advanced predictive models of epilepsy networks, using the Virtual Epileptic Patient and other advanced modeling techniques for data from structural MRI, simultaneous EEG-fMRI, Stereotaxic EEG, SPECT, and other imaging modalities.
- Develop advanced models of pediatric brain network connectomics in brain injury, strokes, brain tumors, epilepsy, and other high-impact disorders.
- Design solutions for existing complex data analysis systems, not limited to data analysis workflows for MRI, CT, EEG, sEEG, MEG, SPECT, and PET data.
- Analyze requirements and develop processes and procedures compatible with existing components of the MRI data curation system
- Recommend and implement methods to ensure digital data security and integrity.
- Implement harmonization and interoperability across (retrospective) clinical research databases.
- Document processes, including guidelines for clinical research data management.
- Expand and facilitate ongoing participation in multicenter national and international pediatric MRI research projects.
Consequence of Error/Judgment:
- Exercise sound judgment in data management decisions, ensuring adherence to best practices and regulatory requirements.
- Recognize the potential impact of decisions on the organization's reputation and research excellence.
Supervision Received:
The Senior Computational Neuroimaging & Neuroinformatics Data Manager receives general supervision from the Director of the Brain Mapping & Neuroinformatics Lab at the BC Children's Hospital MRI Research Facility, ensuring alignment with the organization's objectives and priorities.
Supervision Exercised:
Senior Computational Neuroimaging & Neuroinformatics Data Manager provides direct oversight to the data management team, including project managers, engineers, data coordinators, programmers, statisticians, research assistants, and research trainees. This includes task assignment, monitoring, and job evaluations/performance measures.
Minimum Qualifications:
Education & Experience:
- Post-graduate degree in Statistics. In-depth knowledge of imaging data applications and the business requirements supporting them. Minimum of five years of related experience in integrative analysis, or the equivalent combination of education and experience. Willingness to respect diverse perspectives, including perspectives in conflict with one’s own. Demonstrates a commitment to enhancing one’s own awareness, knowledge, and skills related to equity, diversity, and inclusion.
- Considerable and up-to-date experience in MRI methods.
- Experience in working with MRI, fMRI, EEG, SPECT, and PET data.
- Demonstrated knowledge of computer programming (Bash, Python, Matlab, R, Git, HTML).
- Demonstrated information and project management skills.
- Experience in using REDCap for research data, including design of eCRFs.
- As this position involves working in a hospital setting, full vaccination status is required by Provincial Health Order (PHO).
Preferred Qualifications
- PhD in a health care field with publication record in MRI data analysis methodologies.
- Experience in teaching and mentoring at the university level.
Skills & Abilities:
- Strong organizational skills for managing complex research designs, data, and methodology.
- Excellent communication skills, both verbal and written.
- Ability to work independently and as part of a team.
- Superior analytical, problem-solving, and system analysis skills.
- Advanced computer literacy.
- Ability to facilitate discussions and speak to large groups.
- Strong scientific and logical thinking.
- Ability to handle multiple concurrent tasks, set priorities, and meet deadlines.
- Strong interpersonal skills for effective collaboration.
This position offers a hybrid work arrangement, with regular weekly onsite presence.
