Job Description

Job Posting #922998

POSTDOCTORAL RESEARCHER
Site: Toronto General Hospital- Peter Munk Cardiac Centre
Reports to: Lead AI Scientist
Hours per week: 37.5 hours
Salary: Commensurate with experience and consistent with UHN compensation policy
Status: Temporary Full-time
Shifts: Day
Posted Date: July 28, 2023
Closing date: August 28, 2023

The University Health Network, where \xe2\x80\x9cabove all else, the needs of patients come first\xe2\x80\x9d, encompasses Toronto General Hospital, Toronto Western Hospital, Princess Margaret Cancer Centre, Toronto Rehabilitation Institute, 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 have made UHN a national and international resource for patient care, research, and education. With a long tradition of groundbreaking firsts and a purpose of \xe2\x80\x9cTransforming lives and communities through excellence in care, discovery and learning\xe2\x80\x9d, the University Health Network (UHN), Canada\xe2\x80\x99s largest research teaching hospital, brings together over 16,000 employees, more than 1,200 physicians, 8,000+students, and many volunteers. UHN is a caring, creative place where amazing people are amazing in the world.

Position Summary

The Peter Munk Cardiac Centre (PMCC) Artificial Intelligence (AI) Team includes dedicated AI scientists that partner with data engineers and clinician-researchers to apply machine learning approaches that identify novel relationships in large data sets. The goal is to define new hypotheses in both basic science and clinical research.

We are looking to hire a post-doctoral research fellow to work under the co-supervision of our lead AI scientist (Dr. Bo Wang) and Clinician Scientist (Dr. Slava Epelman) to use AI methods to solve complex cardiovascular and other health-status related questions. The fellow will collaborate with clinicians within the Peter Munk Cardiac Centre and other investigators to analyze and interpret various data modalities such as imaging, clinical EMR, signal processing, and single cell genomic data. The fellow will possess strong technical proficiency, creativity, and strong collaborative skills to contribute towards furthering AI capacity within PMCC and UHN. The successful candidate will also receive training and mentorship in key developmental areas. These areas include grant writing, manuscript review, supervision of trainees, and conference travel and networking opportunities.

Duties

• Applies appropriate, state-of-the-art AI/ML methods to research problems in cardiovascular disease.
• Stays abreast of novel scientific techniques and experiments with them
• Lead productive working group sessions to disseminate knowledge
• Mentor students and other staff.
• Willingness to work on novel datasets and tackle complex clinical challenges.

Qualifications

• Minimum PhD in computational biology, computer science, engineering, or statistics. Expertise in Python, C/C++ and Unix programming environments.
• Hands-on experience using machine learning tools such as scikit-learn as well as developing custom machine learning models in PyTorch/JAX/Tensorflow in high performance python computing environments.
• Prior experience in single cell computational approaches
• Proven track record of published academic papers in high impact journals, conferences, etc
• Keen interest in cardiovascular disease and immunology
• Two strong letters of recommendation from established peers/supervisors/mentors in the field
• Maximum 2-page Letter of Intent highlighting expertise, projects, accomplishments, and research interests and goals
• Demonstrate ability to mentor students and work collaboratively with clinicians

Training Environment

• Learn to write successful grants
• Direct mentorship to achieve your career goals
• Cross-appointed to the Ted Rogers Centre for Heart Failure (

) and Peter Munk Cardiac Centre AI Department * Ability to work across multiple different organizations and institutions (University of Toronto, Vector Institute, etc)

• Opportunities in entrepreneurship (https://tedrogersresearch.ca/echo-discovery/)
• Ability to gain additional skills (genomic analysis, imaging, bioinformatics, clinical research)

To Apply, you are required to submit 2 reference letters, your VC and a Letter of Intent (max 2 pages)

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 compensation & benefits (medical, dental, etc.)
• HOOPP defined benefit pension plan
• Wellness services & offerings
• Close access to Transit and UHN Shuttle service
• Opportunities for development and promotions within a large organization
• Additional perks (multiple corporate discounts including: travel, restaurants, parking, phone plans, auto insurance discounts, on-site gyms, etc.)

Current UHN employees must have successfully completed their probationary period, have a good employee record along with satisfactory attendance in accordance with UHN\'s attendance management program, to be eligible for consideration.

UHN is a respectful, caring, and inclusive workplace. We are committed to championing accessibility, diversity and equal opportunity. Requests for accommodation can be made at any stage of the recruitment process. Applicants need to make their requirements known in advance. Any information received related to an accommodation will be addressed confidentially.

University Health Network thanks all applicants, however, only those selected for an interview will be contacted.

University Health Network