Scientific writer Jobs in Toronto, ON

Union :   Non-Union

Site : Toronto Western Hospital

Department : General Surgery Research

Reports to : Director Surgical Artificial Intelligence Research Academy

Work Model : Hybrid

Hours : 37.5 hours per week

Status : Temporary Full-time (1 year contract)

Closing Date : June 13 2025

Position Summary

Based at the University Health Network the Surgical Artificial Intelligence Research Academy is thrilled to announce an exceptional opportunity for a Scientific Associate to join our dynamic team. The Surgical AI Research Academy (SARA) is dedicated towards research and innovation in areas related to surgical training intra-operative performance augmentation robotic surgery and telecoaching. We use various methodologies including artificial intelligence AR / VR modelling and simulation-based training to improve patient outcomes through surgical excellence. You will be working directly under the leadership of our Director Surgeon-Scientist 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 peer-reviewed publications and successful peer-reviewed 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 world-class 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 ground-breaking research and create cutting-edge 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 high-impact 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 :

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.

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 : Employment Type :

Contract

Key Skills

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Experience : years

Vacancy : 1