Classification & Regular Hours

Hours per Week: 35

Salary Grade: R3

The base salary will be $76,490 - $109,190 per annum. Starting salary will be aligned with the successful candidate's experience, skills, and demonstrated qualifications.

Please note, this is a 13-month temporary full-time contract opportunity that is wholly grant funded.

Responsibilities

The Research Associate will apply their expertise and knowledge in quantitative imaging, radiobiological modeling, dosimetry, radiopharmaceutical therapy, and machine learning to research projects under the direction of the Principal Investigators, and will carry out or oversee original and independent research to assist them in achieving their research outcomes. The position will play a lead role in training students and post-doctoral fellows, and in resolving issues that arise in the research environment. The Research Associate will have developed an independent research portfolio and will participate in all stages of the research, support and operationalize new and innovative research opportunities, set research goals and objectives for their section of the project, develop research and project plans, and design, develop and validate predictive dosimetry, radiobiological, and imaging analysis methodologies. The role will analyze complex imaging, dosimetric and clinical datasets, evaluate and interpret research findings, develop computational models and predictive analytics approaches, prepare papers for publication, and develop reports, grants/proposals and other written material for presentations and/or submissions to various stakeholders as required.

Qualifications

Education:

• PhD in Medical Physics, Medical Biophysics, Biomedical Engineering, Imaging Sciences, Radiation Oncology, Computational Biology, Health Sciences, or relevant discipline
• Advanced academic training in quantitative medical imaging, radiobiological modeling, dosimetry, medical image analysis, and/or machine learning
• Postdoctoral research experience in quantitative imaging, radiopharmaceutical therapy, medical physics, radiobiological modeling, or a related research field preferred
• Additional specialized training in radiomics, machine learning, medical image analysis, dosimetry, or computational modeling preferred

Experience:

• 5 years of experience following completion of a postgraduate degree in an academic health sciences, hospital-based, or research-intensive environment with an independently developed research portfolio
• Experience developing, implementing, or validating radiobiological, dosimetric, pharmacokinetic, or computational models in a research environment
• Experience applying statistical methods, machine learning techniques, and predictive analytics to complex biomedical datasets
• Experience programming in scientific computing environments such as Python and MATLAB
• Demonstrated record of scholarly productivity including peer-reviewed publications, conference presentations, and contributions to grant-funded research
• Experience managing complex imaging, research, and/or clinical datasets and conducting advanced data analysis
• Experience working within multidisciplinary research teams involving scientists, clinicians, trainees, and external collaborators
• Experience in radiopharmaceutical therapy, theranostics, molecular imaging, or PSMA-targeted radioligand therapy preferred
• Experience working with clinical trial datasets and translational cancer research programs preferred
• Experience supervising, mentoring, or training graduate students, undergraduate students, postdoctoral scholars, or research staff preferred
• Experience contributing to successful grant applications and research funding proposals preferred
• Experience collaborating with healthcare organizations, hospitals, academic institutions, and external research partners preferred

Knowledge, Skills & Abilities:

• Demonstrated expertise in quantitative medical image analysis across multiple imaging modalities, including PET/CT and MRI
• Advanced knowledge of radiobiological, dosimetric, and pharmacokinetic modeling
• Advanced programming skills using Python, MATLAB, and scientific computing tools
• Familiarity with regulations and guidelines governing research ethics in an academic environment and with best practices for reviewing and writing grant proposals
• In depth knowledge with methods for research design, implementation, and analysis
• Familiarity with techniques for updating, managing and extracting data from a research database
• Ability to collaborate across internal and external boundaries to meet common objectives, improve outcomes and support work beyond one's own unit
• Communication skills to describe technical concepts effectively to both novice and sophisticated users and with an ability to complete detailed analytics and reports
• Ability to work in a manner that models best practices in confidentiality standards
• Detail-oriented with an ability to function and process information with high levels of accuracy
• Ability to multi-task and maintain an organized and effective personal work environment
• Ability to work within a flexible schedule to accommodate the University's events and activities
• Ability to provide guidance, support and feedback in a way that is positively received
• Results-oriented with the ability to motivate and coach the research team to meet high performance standards, while working effectively as a member of the research team
• Ability to investigate defined issues, solicit input, and suggest remedies and alternative approaches that meet the needs of the situation
• Proven ability and natural inclination to develop relationships by interacting with people in a professional, respectful and diplomatic manner
• Ability to interpret and identify key results from research and to succinctly summarize research findings
• Ability to work independently and effectively as a member of the team to achieve department goals
• Ability to adhere to legislated safety requirements and Western safety policies
• Demonstrated working knowledge of relevant scientific/research principles
• Advanced skills in software and applications used to produce and analyze research outcomes
• Demonstrated ability to research/investigate issues and resolve problems
• Familiarity with University policies and procedures preferred

Please Note:

This position is an existing vacancy. This position is fully in-person, on-site. We thank all applicants for their interest; however, only those chosen for an interview will be contacted.