Scientist II
Scientist II
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Job Description
Union: NonUnion
Number of vacancies: 1
Site: Toronto Western Hospital
Department: Surgery
Reports to: Director
Work Model: Hybrid or InOffice
Hours: 37.5 hours per week
Shifts: Monday to Friday
Status: Temporary FullTime
Closing Date: June 6 2025
Based at the University Health Network the Surgical Artificial Intelligence Research Academy is thrilled to announce an exceptional opportunity for a Scientist to join our dynamic team. The Surgical AI Research Academy (SARA) is dedicated towards research and innovation in areas related to surgical training intraoperative performance augmentation robotic surgery and telecoaching. We use various methodologies including artificial intelligence AR/VR modelling and simulationbased training to improve patient outcomes through surgical excellence. You will be working directly under the leadership of our Director SurgeonScientist Dr. Amin Madani. We are looking for candidates with a PhD and an impressive publication record specializing in areas such as surgical education simulation performance assessment surgical innovation and machine learning for health care. Experience in computer vision and artificial intelligence would be ideal. Priority will be given to individuals with an established research track record in peerreviewed publications and successful peerreviewed grants and experience with CIHR grant submissions. This is a unique to be at the cutting edge of AI research in healthcare driving projects that make a tangible impact on patient outcomes and clinical practices around the globe. The role offers an inspiring blend of academic and creative freedom along with access to worldclass resources to empower you in pursuing your research ambitions.
The successful candidate will have a PhD or MD/PhD postdoctoral experience and demonstrated research excellence.
Duties
- Lead groundbreaking research and create cuttingedge AI models that push the boundaries of surgical care.
- Collaborate with diverse multidisciplinary teams across UHN to leverage AI technologies in tackling some of healthcares most pressing challenges.
- Publish your research in prestigious journals and present your findings at top international conferences shaping the future of AI in healthcare.
- Mentor and inspire the next generation of researchers fostering a culture of academic excellence and innovation within the team.
- Drive the development of highimpact proposals securing funding from leading national and international grant agencies to fuel your research.
- Actively engage with the global scientific community exchanging ideas and forging new collaborations to expand UHNs leadership in AI advancements.
Qualifications :
- An MD/PhD or PhD in a relevant field.
- A minimum of 2 years of related experience and including CIHR grant writing experience.
- Candidates are expected to demonstrate evidence of: 1) track record of peerreviewed publications; 2) successful research funding (peerreviewed grants fellowships etc.) and 3) presentations at significant conferences.
- Secure external funding through competitive grant applications (e.g. CIHR industry).
- Demonstrable strong publication record in toptier journals and conferences.
- Expertise in one or more of the following fields: surgical education simulation surgical innovation machine learning artificial intelligence computer vision.
- Mentor graduate students trainees and research staff.
- Familiar with programming languages such as Python TensorFlow PyTorch etc.
- Exceptional scientific writing skills.
- Exceptional analytical and problemsolving skills.
- Excellent communication and interpersonal skills with the ability to work effectively in a diverse multidisciplinary environment.
- Fluency in English both written and spoken.
Application Materials
A complete package MUST include the following (please combine these into a SINGLE file to attach to the application):
- A cover letter
- Curriculum vitae
- Candidates are expected to demonstrate evidence of: 1) track record of peerreviewed publications; 2) successful research funding (peerreviewed grants fellowships etc.) and 3) presentations at significant conferences.
- Attach copies of 2 peer reviewed papers as primary author and 2 peer reviewed grants you wrote
- Teaching and mentorship statement (1/2 page)
- Equity diversity and inclusivity statement (1/2 page)
Additional Information :
Why join UHN
In addition to working alongside some of the most talented and inspiring healthcare professionals in the world UHN offers a wide range of benefits programs and perks. It is the comprehensiveness of these offerings that makes it a differentiating factor allowing you to find value where it matters most to you now and throughout your career at UHN.
- Competitive offer packages
- Government organization and a member of the Healthcare of Ontario Pension Plan (HOOPP access to Transit and UHN shuttle service
- A flexible work environment
- Opportunities for development and promotions within a large organization
- Additional perks (multiple corporate discounts including: travel restaurants parking phone plans auto insurance discounts onsite gyms etc.)
Current UHN employees must have successfully completed their probationary period have a good employee record along with satisfactory attendance in accordance with UHNs attendance management program to be eligible for consideration.
All applications must be submitted before the posting close date.
UHN uses email to communicate with selected candidates. Please ensure you check your email regularly.
Please be advised that a Criminal Record Check may be required of the successful candidate. Should it be determined that any information provided by a candidate be misleading inaccurate or incorrect UHN reserves the right to discontinue with the consideration of their application.
UHN is an equal opportunity employer committed to an inclusive recruitment process and workplace. Requests for accommodation can be made at any stage of the recruitment process. Applicants need to make their requirements known.
We thank all applicants for their interest however only those selected for further consideration will be contacted.
Remote Work :
No
Employment Type :
Contract
Employment Type
Contract
