Job Description

Job Posting #904282

Position: Scientific Associate II
Site: Krembil Research Institute
Department: CRANIA Research
Reports to: Principal Investigator
Salary: $66,940 to $83,684 per annum (Commensurate with experience and consistent with UHN Compensation Policy)
Hours: 35 hours per week
Status: Permanent Full-time

University Health Network (UHN) is looking for an experienced professional to fill the key role of Scientific Associate II in our CRANIA Research Department.

Transforming lives and communities through excellence in care, discovery and learning.

The University Health Network, where "above all else the needs of patients come first", encompasses Toronto Rehabilitation Institute, Toronto General Hospital, Toronto Western Hospital, Princess Margaret Cancer Centre and the Michener Institute of Education at UHN. The breadth of research, the complexity of the cases treated, and the magnitude of its educational enterprise has made UHN a national and international resource for patient care, research and education. With a long tradition of groundbreaking firsts and a purpose of "Transforming lives and communities through excellence in care, discovery and learning", the University Health Network (UHN), Canada's largest research teaching hospital, brings together over 16,000 employees, more than 1,600 physicians, 8,000+ students, and many volunteers. UHN is a caring, creative place where amazing people are amazing the world.

University Health Network (UHN) is a network of research hospital affiliated with the University of Toronto and a member of the Toronto Academic Health Science Network. The scope of research and complexity of cases at UHN have made it a national and international source for discovery, education and patient care. Research across UHN's seven research institutes spans the full spectrum of diseases and disciplines, including cancer, cardiovascular sciences, transplantation, neural and sensory sciences, musculoskeletal health, rehabilitation sciences, and community and population health.

The Center for Advancing Neurotechnological Innovation to Application (CRANIA) was established by a $16.5M CFI grant to the University Health Network (UHN) and the University of Toronto to transform how neurological disorders are treated by: (1) developing new imaging and surgical technologies to identify regions of the brain involved in disease with unparalleled accuracy and precision; (2) creating 'smart' implantable devices and advanced microelectrodes to target specific brain regions; and (3) leveraging world-leading CRANIA researchers to customize these technologies to create new innovative therapies.

The Scientific Associate II will primarily be involved in neuromodulation laboratory studies a high potential for translation to the clinic within five years. This will require advanced knowledge of laboratory-based research methods. Prior experience with MRIs is essential. Serve as an advisor to researchers and trainees whose research projects utilize the .5T MRI. The Scientific Associate will coordinate neuromodulation team meetings.

The Scientific Associate will have excellent competency in written and verbal communications as well as assist with projects, manuscripts and grant applications. The ability to work with people from different disciplines and varying levels of scientific and technical expertise is required.

Key Duties:

• Apply advanced scientific research knowledge and advise on new research direction and study design
• Oversee the implementation of new laboratory techniques and technical developments
• Support the CRANIA research team program which includes but is not limited to : train researchers and trainees on established and new procedures, assist in developing MRI protocols and assist in adherence to project schedules
• Perform data analysis and interpretation utilizing MRI software
• Assist with the preparation of manuscripts, grant applications and REB submissions
• At all times, the individual is expected to support the overall mission of the program. There is a strong clinical collaboration including patient data collection and analysis.

Qualifications:

• A PhD topic on MRI data analysis
• At a minimum, two (2) years of related research experience
• Familiarity of MRI data analysis software (e.g. FSL, AFNI, Freesurfer, SPM)
• Mathematical affinity and creative problem solving skills
• Proven track record of self-driven, innovative work including first authorship in peer-reviewed publications, patents, or equivalent
• Excellent verbal and written communication skills
• Excellent interpersonal skills
• Excellent organizational and time management skills
• Ability to set priorities and work independently with accuracy in a fast-paced multitasking environment
• Strong proficiency with MS Office software, Word, Excel, Outlook, and PowerPoint
• Knowledge of cognitive or clinical neuroscience preferred but not required
• Experience in AI/deep learning-related projects preferred but not required

Vaccines (COVID-19 and others) are a requirement of the job unless you have an exemption on a medical ground pursuant to the Ontario Human Rights Code.

If you are interested in making your contribution at UHN, please apply on-line. You must attach your complete academic curriculum vitae (CV), covering letter, a description of research experience/projects and three referees contact information. You will also be required to complete some initial screening questions.

Posted Date: August 11, 2022 Closing Date: Until filled

For current UHN employees, only those who have successfully completed their probationary period, have a good employee record along with satisfactory attendance in accordance with UHN's attendance management program, and possess all the required experience and qualifications should apply.

UHN thanks all applicants, however, only those selected for an interview will be contacted.

UHN is a respectful, caring, and inclusive workplace. We are committed to championing accessibility, diversity and equal opportunity and welcomes all applicants including but not limited to: all religions and ethnicities, LGBTQ2s+, BIPOC, persons with disabilities and all others who may contribute to the further diversification of ideas. Requests for accommodation can be made at any stage of the recruitment process providing the applicant has met the Bona-fide requirements for the open position. Applicants need to make their requirements known when contacted.