Data Science Specialist - Toronto, Canada - University Health Network

University Health Network

Verified Company

Toronto, Canada

2 weeks ago

Posted by:

Sophia Lee

beBee Recruiter

Description

Data Science Specialist

Job Posting #: 929405

Union:
Non-Union

Site:
Toronto General Hospital

Department:
AI Hub

Reports to:
Principal Investigator

Hours: 37.5 hours per week

Salary:
$43.11 to $53.89 hourly. To commensurate with experience and consistent with UHN compensation policy

Status:
Temporary Full Time (1 year)

Shifts:
Day

Posted Date:
March 7, 2024

Closing Date:
April 6, 2024

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
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Data Processing and Analysis: Working with large datasets of oncology data. This involves preprocessing, cleaning, and organizing data for analysis as well as systematic exploration of high-dimensional data to identify new computational approaches and Integrative analysis of multiple data types.
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Model Development and Implementation: Develop and implement NLP models to extract insights from biological data. This could include text mining from scientific literature to identify current trends and the latest discoveries. Interpret and communicate technical results and methods clearly and interact cross-functionally with a wide variety of people and teams.
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Algorithm Optimization: Fine-tune algorithms for specific tasks, like sequence alignment, gene expression pattern recognition, and variant calling.
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Collaborative Research: Work closely with biologists and clinicians to understand their data needs and translate these into computational tasks.
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Publishing and Documentation: Regularly document your findings and methodologies. Publish in peer-reviewed journals and present at conferences.
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Grant Writing: Assist in writing grant proposals for funding research projects.
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Mentoring and Supervision: Guide junior researchers or students in their projects, providing expertise in oncology data analysis.

Qualifications

Master's Degree required, PhD would be an asset, in machine learning, computer science, bioinformatics, statistics, applied mathematics or related disciplines.
Minimum 6 years related experience required.
Excellent communication skills and ability to utilize a collaborative approach to solving challenging problems.
Experience with developing and implementing ML and NLP models.
Experience with Python (scikitlearn, Pandas, etc.) and deep learning frameworks (TensorFlow or PyTorch)
Experience with healthcare data types, topics, and scientific challenges and approaches.
Demonstrate ability to mentor others 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, 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 will be contacted.