Research Associate, Biostatistics and Image Labelling

Job title:

Research Associate, Biostatistics and Image Labelling

Company

University of Alberta

Job description

DescriptionThis position is part of the Association of the Academic Staff of the University of Alberta (AASUA).In accordance with the , this part-time position has a pro-rated annual salary range of $35,893.20 to $49,359.60. This position is not eligible for benefits. This position has an initial appointment of 1 year, with the possibility of renewal.Location – This role is in-person at North Campus Edmonton.Working at the University of AlbertaThe University of Alberta acknowledges that we are located on Treaty 6 territory, and respects the histories, languages and cultures of First Nations, Métis, Inuit and all FirstPeoples of Canada, whose presence continues to enrich our vibrant community.The University of Alberta is a community of knowledge seekers, change makers and world shapers who lead with purpose each and every day. We are home to over 14,000 faculty and staff, more than 40,000 students and a growing community of 300,000 alumni worldwide.Your work will have a meaningful influence on a fascinating cross-section of people – from our students and community members, to our renowned researchers and innovators, making discoveries and generating solutions that make the world healthier, safer, stronger and more just. .Working for the Department of Radiology and Diagnostic ImagingThe Department of Radiology and Diagnostic Imaging at the University of Alberta is a leading academic centre for the advancement and development of the disciplines of medical imaging and image guided intervention and therapy. The department is committed to imaging research and postgraduate medical education.Position SummaryAutomated medical image processing and analysis using machine learning techniques is a rapidly expanding area of research. The NIDUS (Northern Institute for Deep Learning in Ultrasound) laboratory undertakes a wide breadth of research and academic activities in this area. Reporting to the Dept. of Radiology and Diagnostic Imaging AI research chair (currently Jacob Jaremko, a Canada CIFAR AI Chair), the Research Associate (Biostatistics and Image Labelling) plays an integral role in executing research and academic activities carried out by NIDUS, providing high-level input into research design, data preparation, analysis, and publication. This person is required to apply their extensive knowledge of techniques in the fields of medical imaging, clinical research, and biostatistics to carry out high-level, complex research activities, including the independent design of research plans and experimental approaches. They consult and collaborate extensively with a diverse team of researchers, learners, clinicians and other stakeholders on a variety of research activities.DutiesUnder the supervision of the Principal Investigator, the Research Associate (Biostatistics and Image Labelling):

• Plays a lead role in the design of experiments/procedures, data collection protocols and research/data standards in machine learning, image processing, medical imaging, and clinical research, with a particular emphasis on statistical analysis of collected research data.
• Stays up to date on advancements in these and related fields and incorporates advanced techniques, procedures or protocols to conduct research.
• Oversees data collection and analysis. Responsible for designing statistical approaches, ensuring data collection is in line with requirements of the approach, and executing statistical analyses.
• Oversees and executes image labelling for use in AI training, both personally and by training others.
• Summarizes, analyzes and organizes data for publication. Is expected to co-author and when relevant, co-present research papers, presentations and/or other publications.
• Is involved in the planning of future research, particularly with respect to methodological approaches.
• Identifies potential new funding sources and writes research grants in collaboration with PI and team members, drawing on available resources, templates and team expertise.
• Consults with technical staff, students and/or post doctoral fellows in the lab on a daily basis, according to the strategic direction of the primary investigators, with particular emphasis on image labelling and statistical methodology.
• Consults on and contributes to multiple research projects covering the development and validation of artificial intelligence tools applied to various imaging modalities in multiple clinical areas. These currently include, but are not limited to:

• Detection of fractures, muscle tears and developmental dysplasia of the hip (DDH) using point-of-care ultrasound (POCUS)
• Full and semi-quantification of MRI structural abnormalities and inflammatory markers in arthritis (knees, hips, SI joints, TMJ)
• Tumor grading (in MRI of rectal cancer) and detection (in regions like breast, thyroid, liver and subcutaneous tissue)
• Ultrasound of the heart, lungs, and fetal heart
• Liase with the Principal Investigator, other lab members, academic collaborators and industry partners to develop, test and validate new and existing AI tools, help build a strong multidisciplinary team, and expand clinical studies.
• Assist the Principal Investigator and other Research Associate in addressing the day-to-day concerns of a group of approximately 5-10 MSc and PhD students and postdoctoral fellows, particularly with respect to data analysis and writing.

Minimum Qualifications

• Holds MSc in Medical Sciences, Biostatistics, or related field, plus

10 years of progressive experience in an academic research environment. * Demonstrates an extensive record of co-authored publications in medical research, with particular emphasis on work related to radiology and diagnostic imaging.

• Is skilled in cleaning, shaping, and re-coding of raw data.
• Performs medical image annotation and semi-quantitative image scoring procedures at an expert level.
• Possesses excellent verbal and written communication skills.
• Is flexible, agile and maintains a positive outlook. The successful candidate will work hard to perform in a challenging, shifting, high-reward environment.

Preferred Qualifications

• Has extensive experience working in multi-disciplinary collaborations. The successful candidate will enjoy consulting and working with a core team and diverse stakeholders including physicians, surgeons, computer scientists, engineers, sonographers, nurses, patients, and administrators
• Uses software such as SPSS, STATA and R to execute various types of statistical analysis.
• Has extensive experience working in multi-disciplinary collaborations. The successful candidate will enjoy consulting and working with a core team and diverse stakeholders including physicians, surgeons, computer scientists, engineers, sonographers, nurses, patients, and administrators.

At the University of Alberta, we are committed to creating an inclusive and accessible hiring process for all candidates. If you require accommodations to participate in the interview process, please let us know at the time of booking your interview and we will make every effort to accommodate your needs.We thank all applicants for their interest; however, only those individuals selected for an interview will be contacted.The University of Alberta is committed to an equitable, diverse, and inclusive workforce. We welcome applications from all qualified persons. We encourage women; First Nations, Métis and Inuit persons; members of visible minority groups; persons with disabilities; persons of any sexual orientation or gender identity and expression; and all those who may contribute to the further diversification of ideas and the University to apply.Note: This opportunity will be available until midnight March 26, 2025, Edmonton, Alberta local time.

Expected salary

$35893.2 – 49359.6 per year

Location

Edmonton, AB

Job date

Fri, 21 Mar 2025 06:13:49 GMT

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