Biomedical Translational Imaging Centre (BIOTIC), Research Services
Salary: As Per Health Centre Scale
Union Status: Non Union
Competition #: K-2017-0045
Posting Date: January 23, 2017
Closing Date: Open Until Filled
Start Date: ASAP
BIOTIC is a multi-site imaging centre that is embedded in the two leading research and teaching hospitals in Nova Scotia (QEII Health Sciences Centre and the IWK Health Centre). Our multidisciplinary and cross-functional teams, providing expertise in all facets of imaging research and development, collaborate on commercial development projects with industry partners as well as research and development projects with a number of institutions. Our advanced pre-clinical (MRI, PET, SPECT, CT) and clinical (3T MRI, MEG, EEG) imaging equipment are housed in three labs within the IWK and QEII. The BIOTIC team co-develops medical technologies as well as creates new imaging techniques and methods for diagnosing and monitoring treatment.
The QEII and IWK are conducting a large-scale research project involving MRI technologies. The project is funded by the Atlantic Innovation Fund (AIF) for a period of 5 years and involves close collaboration between BIOTIC and a commercial partner.
Reporting to the Scientific Lead, the Research Associate in Image Processing/Analysis will provide research support to the BIOTIC team and will be responsible for assisting with the oversight and planning of translational research developing new medical imaging analyses, in particular for MR image data, applying statistical and machine learning methods to medical imaging data, and mentoring students. Experience in comprehensive data analysis and sound knowledge of applied statistics and machine learning is required.
Programming / Data Analysis
This Research Associate position will primarily be involved in:
- Developing analysis and simulation code for MRI data and,
- Applying statistical analysis and machine learning approaches to the classification of MR images.
Depending on experience, the Research Associate may also be involved in:
- Statistical analysis and machine learning applications to functional neuroimaging data, including MEG/EEG, and
- Analysis and/or reconstruction of PET/SPECT image data.
- Prepare manuscripts for publication
- Prepare draft presentations and posters relating to research.
Hours of Work: Monday – Friday, 37.5 hours/week, days (flexibility may be required)
- PhD or MSc degree in a relevant field (e.g. physics, applied mathematics, computer science)
- Deep understanding of statistics (including the general linear model)
- Experience with supervised machine learning, especially in high-dimensional (p>>N) settings
- Strong programming skills of at least one language (e.g., Python, R, Java, C/C++, MATLAB)
- Experience in the Linux environment (shell scripting an asset)
- Strong/effective interpersonal, organization, and communication skills
- Excellent teamwork skills
- Ensures confidentiality and works in an ethical manner