Imaging Research Specialist
Job Summary
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 the normal course employees will be hired transferred or promoted between the minimum and midpoint of the salary range for a job.
Note: Applications will be accepted until 11:59 PM on the Posting End Date.
Job End Date
July 31 2027Please note: This is a full-time term position ending July 31 2027. While the initial term is defined by current funding the intention is for this to be an ongoing and growing role and continuation renewal or expansion beyond the term is possible subject to the availability of further funding which the incumbent will help pursue. The role is primarily based on site in Vancouver; hybrid arrangements may be available for tasks that do not require on-site system access by arrangement with the PI.
At UBC we believe that attracting and sustaining a diverse workforce is key to the successful pursuit of excellence in research innovation and learning for all faculty staff and students. Our commitment to employment equity helps achieve inclusion and fairness brings rich diversity to UBC as a workplace and creates the necessary conditions for a rewarding career.
Job Summary
The Imaging Research Specialist will serve as the technical lead for a Canadas Drug Agency-funded initiative to build an automated imaging research pipeline for the Canadian Registry for Pulmonary Fibrosis (CARE-PF). This is a senior role for an experienced individual who can independently take on the large majority of the technical and coordination work apply existing expertise directly to the project and deliver against a milestone-based funding timeline over one year with minimal supervision.
The initiative must reach its major deliverables within a fixed funding window with funds released only as milestones are met. There is no room to learn the fundamentals on the job: the successful candidate is expected to arrive already fluent in medical imaging data (DICOM/PACS) health-research ethics and privacy and research computing infrastructure and to translate that expertise readily into a working pipeline. The role demands someone who can set direction solve problems independently and drive the work forward at pace.
The incumbent will design build and operate an automated workflow for retrieving de-identifying and securely storing CT imaging for consented registry patients and will establish and administer a central imaging platform built on XNAT to support quantitative image analysis and multi-site research collaboration. A manual proof-of-concept has already been developed and tested at UBC; the incumbent will independently automate and scale it and lead the technical work required to replicate the pipeline at CARE-PF sites across Canada (e.g. Calgary Saskatoon Hamilton Toronto Montreal).
A defining feature of this role is coordination across many stakeholders. The incumbent will act as the central point of contact linking radiology hospital and university IT medical imaging hospital and research administration privacy and ethics offices patient partners and co-investigators at sites in multiple provinces. Prior experience leading projects and coordinating across departments or institutions is therefore essential. The person in this role must be able to move a technically complex initiative forward through many separate groups each with its own priorities and approval processes largely on their own initiative.
The successful candidate will help shape a new imaging research program from the ground up and there is potential for the role to grow in scope and responsibility over time as the program develops and as additional funding is secured which the incumbent will actively help to pursue.
Organizational Status
Reporting to Dr. Daniel Marinescu PI and Clinical Assistant Professor this position is based in the Division of Respiratory Medicine Faculty of Medicine and affiliated with the Vancouver Coastal Health Research Institute (VCHRI). The role supports CARE-PF is Canadas national pulmonary fibrosis registry with more than 8000 patients enrolled across sites in Vancouver Calgary Saskatoon Hamilton Toronto and Montreal.
Operating with a high degree of independence under the Principal Investigators direction the incumbent serves as the primary technical point of contact for the imaging pipeline and platform and works directly with hospital and university information technology (IT) services radiology and medical imaging departments hospital administration patient partners and research co-investigators and coordinators at CARE-PF sites across the country. Because the work requires access to hospital imaging systems (PACS) and institutional servers the position is primarily based on site in Vancouver; some tasks may be performed remotely by arrangement but regular in-person presence at the UBC/Vancouver General Hospital site is required.
Work Performed
- Provides technical consultation and advice to the PI co-investigators and site teams on imaging infrastructure data flows and feasibility and implementation strategies.
- Independently designs develops tests and operates an automated workflow for retrieving CT imaging studies for consented patients from hospital PACS building on an existing manual Python-based proof-of-concept.
- Develops and maintains robust software (primarily in Python) for DICOM tag de-identification and replacement folder reorganization and automated data quality control and management of edge cases including inconsistent tags and potential burned-in pixel-data identifiers.
- Configures deploys administers and secures an XNAT-based imaging platform serving as the central repository for image storage de-identification project- and user-level access control and downstream analysis including associated server database and integration with imaging and supports imaging analysis environment including a GPU-equipped workstation for quantitative CT (qCT) analyses such as lung segmentation and installs configures and manages related analysis and machine-learning and maintains standards standard operating procedures (SOPs) and technical protocols for pipeline use de-identification rules data backup security and platform access and keeps abreast of relevant developments in imaging informatics and de-identification best practice.
- Serves as the technical lead in engaging local IT radiology medical imaging and administrative departments at UBC/VGH and across the BC health authorities (VCH PHC PHSA) to assess infrastructure and design solutions for building and operating the pipeline locally.
- Designs and conducts a systematic survey of CARE-PF sites to define site-specific technical needs and constraints (e.g. differences in PACS systems data governance and local approval processes) and develops the technical plan for replicating the pipeline at each centre.
- Leads the technical work of extending the pipeline to other CARE-PF sites providing guidance and specifications to local IT and radiology contacts and coordinating implementation across institutions.
- Manages the technical workplan against project milestones and timelines anticipates and resolves risks or delays and ensures deliverables are met within the funded period.
- Prepares technical reports and progress updates for the PI and the funder and contributes to manuscripts presentations and dissemination including potential joint authorship where appropriate.
- Writes and contributes to ethics submissions grant applications and other funding proposals to support the continuation and expansion of the imaging program including drafting technical sections developing budgets and infrastructure plans and assembling supporting materials.
- Oversees project-related equipment procurement and assists with budget tracking in coordination with the PI and UBC research administration.
- Supports the establishment and operation of a Patient Advisory Committee (PAC) representative of the CARE-PF patient population contributing technical and data-governance perspective to discussions of data collection privacy and risk mitigation.
- Prepares and leads research ethics board (REB) amendment submissions at CARE-PF sites to enable local imaging data collection using the UBC ethics amendment as a basis and adapting it to site-specific requirements around secure sharing and central storage.
- Ensures all handling transfer and storage of identifiable and de-identified imaging data complies with applicable privacy legislation and institutional data governance policies and independently identifies and resolves data-security and privacy considerations escalating to the PI as appropriate.
- Carries out other related duties as required in keeping with the qualifications and requirements of the classification.
Consequence of Error/Judgement
This position exercises wide latitude for independent initiative and judgment and carries significant responsibility for the technical success of the initiative. The incumbent handles confidential patient imaging data and errors in de-identification data transfer or data security could result in a breach of patient privacy with serious legal regulatory and reputational consequences for the registry and the University. The incumbent is expected to design and maintain rigorous defensible data-stewardship and security practices and to exercise sound independent judgment in identifying and resolving problems. Because the project operates on a fixed timeline with milestone-based funding over one year any errors delays or poorly designed infrastructure could jeopardize the release of funds and the achievement of deliverables. As the primary technical representative of the project to IT imaging and site partners the incumbents professionalism and judgment directly affect the institutional relationships and trust on which the initiative depends.
Supervision Received
Works independently under the administrative direction of the Principal Investigator Dr. Daniel Marinescu. The incumbent is expected to plan prioritize and execute the technical work of the project with minimal day-to-day supervision exercising considerable independent judgment and consulting the PI on strategic direction major decisions and unusual problems.
Supervision Given
May direct and oversee the work of research assistants students co-op students or volunteers assigned to the project and may provide technical guidance and instruction to site staff and trainees. Responsible for the quality and accuracy of work performed under their direction.
Minimum Qualifications
Undergraduate degree in a relevant discipline. Minimum of two years of related experience or the equivalent combination of education and experience.
- Willingness to respect diverse perspectives including perspectives in conflict with ones own
- Demonstrates a commitment to enhancing ones own awareness knowledge and skills related to equity diversity and inclusion
Preferred Qualifications
- Graduate degree (Masters or PhD) in a relevant discipline such as biomedical or software engineering computer science health/bioinformatics medical physics or a health science.
- Graduate-level work involving medical imaging health data or research computing is strongly preferred.
The following are required or strongly expected given the seniority of the role and the project timeline:
- Demonstrated experience leading or coordinating technical projects including coordinating work across multiple departments teams or institutions and driving deliverables to completion largely independently.
- Demonstrated experience working in a healthcare or clinical research environment with a working understanding of how clinical systems imaging departments health-research ethics and data governance operate in practice.
- Hands-on experience working with medical imaging data (DICOM) and familiarity with PACS and clinical imaging workflows.
- Demonstrated ability to write and maintain code (primarily Python) for data processing and automation at a level sufficient to build and maintain a production data pipeline independently.
- Experience deploying configuring or administering server-based research or imaging software in a Linux environment.
The following are considered strong assets:
- Direct experience with XNAT or comparable imaging informatics platforms.
- Experience with image de-identification / anonymization workflows (e.g. DicomEdit RSNA Clinical Trial Processor or similar).
- Experience preparing research ethics submissions and contributing to grant or funding applications.
- Experience with quantitative image analysis medical image segmentation or machine-learning / GPU-based computing.
- Experience mentoring or directing the work of junior staff students or trainees.
Technical Skills:
- Proficiency in Python for data processing automation and pipeline development (required); familiarity with DICOM libraries such as pydicom is expected.
- Strong command of the Linux environment and command-line tools and the ability to independently install configure secure and maintain server-based software and databases.
- Solid understanding of networking secure data transfer authentication/access control and database concepts as they apply to sensitive health data.
- Familiarity with version control (e.g. Git) and good software and documentation practices.
- Proficiency with standard research and office tools (e.g. REDCap MS Office).
Knowledge Skills and Abilities:
- Ability to work independently and take ownership of a complex technical program with minimal supervision exercising sound judgment and initiative.
- Excellent verbal and written communication skills including the ability to explain technical matters clearly to clinicians administrators IT staff and patients.
- Demonstrated ability to coordinate and drive a complex initiative across many separate stakeholder groups (radiology IT imaging administration ethics/privacy patient partners and multi-site investigators) building trust and moving work forward through groups with differing priorities and approval processes.
- Rigorous attention to detail and a careful methodical well-documented approach to sensitive-data handling.
- Strong organizational and planning skills with the ability to manage competing priorities and deliver to deadlines.
- Understanding of and commitment to patient privacy and responsible handling of sensitive health data (e.g. BC PIPA / FIPPA and institutional privacy requirements).
This position is located within a health-care facility and involves access to confidential patient information and hospital systems. The successful candidate will be required to complete institutional privacy and information-security training and to sign applicable confidentiality and data-access agreements prior to being granted access to clinical imaging systems.
Required Experience:
IC