Computational Biologist - Toronto, Canada - University Health Network

University Health Network

Verified Company

Toronto, Canada

3 weeks ago

Posted by:

Sophia Lee

beBee Recruiter

Description

Computational Biologist

Job Posting #: 928406

Union:
Non-Union

Site:
Toronto General Hospital

Department:
Peter Munk Cardiac Centre Artificial Intelligence Team

Reports to:
Project Manager

Hours:35 hours per week

Salary:
$69, $86,832.20 annually. To commensurate with experience and consistent with UHN compensation policy

Status:
Temporary Full-Time (1 year)

Shifts:
Monday to Friday, Days

Posted Date:
January 29, 2024

Closing Date:
February 12, 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

The Computational Biologist will be a key member of the research team at the Peter Munk Cardiac Centre AI team working with the Chief AI Scientist and his team, contributing to precision medicine projects in cardiovascular disease.

The role involves leveraging cutting-edge genomic and proteomic technologies, big data analytics, and deep learning tools to enhance our understanding of cardiovascular diseases.

The Computational Biologist will play a pivotal role in integrating and analyzing data from various sources, including whole genome sequencing, epigenomes, transcriptomes, the PMCC biobank, and clinical data, to identify disease drivers and inform personalized treatment strategies.

Duties

Data Analysis and Integration:
Integrate genomic, proteomic, clinical, and imaging data using the Digital Cardiovascular Health Platform (DCHP).
Analyze whole genome and epigenome sequencing data from NovaSeq X Plus gene sequencing units.
Algorithm development

Collaboration and Networking:

Establish and maintain collaborations with other Canadian and International Centers for data sharing and biospecimen analysis.
Identify and engage in cofunding opportunities to support study costs.

Innovative Research Development:

Develop innovative approaches to analyze genomic and proteomic data in the context of cardiovascular diseases.
Contribute to the design and execution of research projects that align with the RFP's goals.

Clinical Application and Translation:

Work closely with clinical experts at PMCC to translate research findings into clinical insights.
Contribute to the development of personalized treatment strategies based on genomic and proteomic profiles.

Documentation and Reporting:

Prepare detailed reports and documentation of research methodologies and findings.
Contribute to scientific papers and presentations for both academic and clinical audiences.

Qualifications

At minimum, a Bachelor's degree with 6 years related experience OR Masters' with 4 years related experience.
A Ph.

D. in Computational Biology, Bioinformatics, Genomics, Computer Science or a related field with Equivalent experience is preferred

Proficiency in genomic and proteomic data analysis.
Experience with highthroughput sequencing data (e.g., WGS, RNA-Seq).
Strong skills in bioinformatics tools and databases.
Demonstrated experience in conducting and managing largescale genomic or proteomic studies.
Familiarity with cardiovascular diseases research is an advantage.
Ability to develop novel approaches for data analysis and integration.

- proficiency in programming skills like python/R/shell scripts, exp in working in HPC environment and distributed version control systems like git

Experience working with large scale databases like UK Biobank

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 compl