Research Associate I - Toronto, Canada - University Health Network

University Health Network

Verified Company

Toronto, Canada

3 days ago

Posted by:

Sophia Lee

beBee Recruiter

Description

POSITION:
Research Associate I (
AIM4Lung (
AI and
ML
Modeling to
Manage and
Mitigate
Lung Cancer)

SITE:
Ma

RS

DEPARTMENT:
Research

REPORTS TO:
Senior Manager, Engineering

COMPENSATION:
Will be commensurate with previous experience and University Health Network approved salary ranges.

STATUS:
Permanent Full-time

University Health Network (UHN) is looking for an experienced professional to fill the key role of
Research Associate I
in our Princess Margaret Cancer Center.**- Transforming lives and communities through excellence in care, discovery and learning_

The University Health Network, where _"above all else the needs of patients come first"_, encompasses
Toronto Rehabilitation Institute, Toronto General Hospital, Toronto Western Hospital, Princess Margaret Cancer Centre 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 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.

University Health Network (UHN) is a research hospital affiliated with the University of Toronto and a member of the Toronto Academic Health Science Network.

The scope of research and complexity of cases at UHN have made it a national and international source for discovery, education and patient care.

Research across UHN's five research institutes spans the full spectrum of diseases and disciplines, including cancer, cardiovascular sciences, transplantation, neural and sensory sciences, musculoskeletal health, rehabilitation sciences, and community and population health.

Find out about our purpose, values and principles here.

Background:

Lung cancer is the leading cause of cancer related deaths in Canada and the world, causing more deaths in North America than the next three major cancer types combined.

The treatment and management of lung cancer patients at Princess Margaret (PM) is among the best in the world but has been slow to leverage modern digital innovations to improve clinical practice.

We are trying to change that.

AIM4Lung (
AI and
ML
Modeling to
Manage and
Mitigate
Lung Cancer) is a UHN-based research program led by Dr. Geoffrey Liu that is focused on accessing, understanding, and leveraging big data from real-world clinical settings to advance our fundamental understanding of lung cancer, to predict and prevent undesirable cancer events, and to improve the clinical management of lung cancer patients at PM and beyond.

This program is composed of 4 major pillars:
Data Access, Data Wrangling, Natural Language Processing, and Advanced Modeling and Analytics.

We have access to an enormous and growing real-world clinical database that includes rich and comprehensive data for patient treatments, molecular testing, lab results, patient-reported outcomes, medical images, as well as free-text reports from radiology, pathology, clinic visits, and much more.

We have developed an agile, productive, and interdisciplinary machine learning group that tackles independent academic projects.

In addition, we collaborate with industry partners and research institutes such as TECHNA and Cancer Digital Intelligence to advance our goals of integrating AI into our electronic health system, and of building a federated clinical data and learning network across Canada.

We are currently looking to hire a motivated
_Research Associate_ to oversee this innovative computational research program.

General duties:

Coordinate meetings with project team members, including trainees, fellows, developers, scientists, and clinicians from multiple different academic and industry groups
Summarize and disseminate project tasks and timelines to relevant members
Oversee study materials and databases, and coordinate data access and release for individual projects
Help troubleshoot projectrelated issues as they arise
Hold regular project update meetings with Dr. Geoffrey Liu to discuss progress, challenges, issues, new ideas/directions, etc.

General eligibility criteria:

A graduate degree, preferably in computer science, life science, engineering, or related fields
An understanding of machine learning, cluster computing, and development principles
Experience managing projects (this can include graduate level thesis or research projects)
Able to work with a larger team as well as independently
Experience with scientific writing
Able to effectively communicate both in technical and lay