Scientific Associate Ii - Toronto, Canada - University Health Network

University Health Network

Verified Company

Toronto, Canada

3 weeks ago

Posted by:

Sophia Lee

beBee Recruiter

Description

Job Posting #:922801

JOB TITLE:
Scientific Associate II

Union:
Non-Union

Site:
Princess Margaret Cancer Centre

Department:
Department of Medical Oncology & Hematology

Reports to:
Sr. Clinical Research Manager

Wage or Salary Range:
$72,443 - $90,558 per annum

Hours: 37.5 hours per week

Status:
Permanent Full-time

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.

About the Program

About the Role

We are looking for a Scientific Associate with machine learning experience to join the PanCuRx Translational Research Initiative and our Machine Learning 4 Oncology team at the Princess Margaret Cancer Centre, University Health Network.

The team works in close collaboration with graduate students, bioinformaticians, clinicians, and other machine learning groups.

This role requires experience in using a range of ML/AI methodologies to complete the ML development cycle (research & data mining, model development & validation, and implementation).

You will work on novel research questions and translational healthcare technologies to facilitate the acceleration of cancer research, the identification of clinically-important biomarkers, and the understanding of patient populations.

You will have the option to work on-site or hybrid, with flex-hours.

Responsibilities:
Design, code, implement, and present data processing tools and analysis pipelines for a variety of different data types
Build predictive models, make improvements, and troubleshoot independently and with our team to solve novel problems
Interpret and communicate technical results and methods clearly with a wide range of audiences
Be well informed about current trends in ML and AI
Work openly and collaboratively; share knowledge with enthusiasm and empower your colleagues
Work on multiple concurrent projects and products, effectively following timelines, goals, and crossfunctional collaborations
Write reports, papers and reviews and present findings in journals and conferences
Qualifications:
PhD degree in machine learning, computer science, bioinformatics, statistics, applied mathematics or related disciplines, or masters degree in similar fields with 3+ years of experience
Excellent communication skills and ability to utilize a collaborative approach to solving challenging problems
Experience with Python (Scikitlearn, Pandas, etc.), deep learning frameworks (TensorFlow or PyTorch), version control (Git), and use of computing clusters
Experience with biomedical data types, topics, and scientific challenges and approaches preferred.

Post Date:
July 19, 2023

Closing Date:
Until filled

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, 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 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 w