Staff Scientist I

3 weeks ago


Toronto, Canada University Health Network Full time

**Job Posting #**: 921983

**Position: Staff Scientist I**

**Union**: Non-Union

**Site**: Toronto General Hospital

**Department**:Artificial Intelligence

**Reports to**:Lead AI Scientist

**Hours**:37.5 per week

**Salary**: To commensurate with experience and consistent with UHN compensation policy

**Status**:Permanent Full-Time

**Shifts**: N/A

**Posted Date**: June 28, 2023

**Closing Date**:July 28, 2023

The **University Health Network**, where “above all else the needs of patients come first”, encompasses Toronto General Hospital, Toronto Western Hospital, Princess Margaret Cancer Centre, Toronto Rehabilitation Institute and the Michener Institute of Education. 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 ground breaking 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 1,200 physicians, 8,000+ students, and many volunteers. UHN is a caring, creative place where amazing people are amazing the world.

**Position Summary**

**Duties**
- Applies appropriate, state-of-the-art AI/ML methods to research problems.
- Develops scientific protocols in area of expertise.
- Stays abreast of novel scientific techniques and experiment with them.
- Lead productive working group sessions to disseminate knowledge.
- Co-Supervise and mentor students and other staff.
- Willingness to work on novel datasets and tackle complex clinical challenges.
- Ability to develop and drive independent research projects focused on area of interests and expertise (time will be allocated to pursue own interests).

**Qualifications**
- PhD in computer science or bioinformatics, with a proven track record of analyzing large biological and health system related data using machine learning.
- Proven track record of published academic papers in high impact journals, conferences, etc.
- Keen interest in cardiovascular disease as well as health system improvements.
- 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.

**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
- 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, 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.

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

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.


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