AI Scientist Peter Munk Cardiac Centre
AI Scientist Peter Munk Cardiac Centre
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Job Description
Union: NonUnion
Site: Toronto General Hospital
Department: Research
Reports to: Chief AI Scientist
Grade: X0:06
Hours: 37.5 Per Week
Work Model: Hybrid
Salary: (To commensurate with experience and consistent with UHN compensation policy)
Status: Permanent FullTime
Closing Date: As soon as possible
Position Summary:
The Peter Munk Cardiac Center is thrilled to announce an exceptional opportunity for two talented AI Scientists to join our dynamic team. You will be working directly under the visionary leadership of our Chief AI Scientist. We are looking for candidates with a PhD and an impressive publication record specializing in areas such as Computational Biology Natural Language Processing (NLP) Computer Vision or HumanComputer Interaction. This is a unique chance 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.
Duties
- Lead groundbreaking research and create cuttingedge AI models that push the boundaries of your field.
- 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 :
- PhD in Computer Science Bioinformatics Computational Biology Electrical Engineering or a related field.
- Demonstrable strong publication record in toptier journals and conferences.
- Expertise in one or more of the following fields: Computational Biology NLP Computer Vision HumanComputer Interaction.
- Expertise in SOTA models primarily foundation models and large language models
- Proficiency in programming languages and tools relevant to your area of expertise such as Python R TensorFlow PyTorch etc.
- 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.
Additional Information :
Application Information: We invite applications from candidates globally reflecting our belief in diversity and inclusion as catalysts for innovation and excellence in research. We also take a holistic approach when reviewing candidates so if you do not meet all criteria but still believe you are a good fit we recommend that you inquire and apply. Interested candidates are encouraged to submit a detailed academic CV a cover letter outlining their research interests and achievements a letter of intent and the contact information for three references. For any questions please contact:
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 )
- Close 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.
All UHN Employees are required to be fully vaccinated with a COVID19 vaccine series approved by Health Canada or the World Health Organization as a condition of hire. Proof of COVID19 vaccination will be required. Should you be the successful candidate you will be required to comply with UHNs mandatory Vaccination Policy that is in effect.
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.
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 :
Fulltime
Employment Type
Full-time
