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59 days ago

Staff

McGill University -

BRAIN CODE, the bioinformatics team at Dr. Kevin Petrecca’s Lab, the Neuro – McGill University, is recruiting Bioinformatics Research Assistant, Associate and Analysts. We are applying state-of-the-art technologies, including our single cell spatial transcriptomics platform, to our highly valuable and unique human brain datasets, to uncover fundamental biological mechanisms that govern brain cancer initiation, development and evolution, as well as the biology of human brain. We offer a competitive salary, in line with McGill’s salary range, and based on your skills and experience.

87 days ago

Staff

Princess Margaret Cancer Centre - Computational Biology & Medicine Program -

Company Description

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.

Job Description

Union: Non-Union
Site: Princess Margaret Cancer Centre
Department: Computational Biology Cancer Centre
Reports to: Chair Computational Biology and Medicine Program
Work Model: On-Site
Grade: N0:05
Hours: 37.5 hours per week
Salary: $59, 904 – $74, 880 per annum: To commensurate with experience and consistent with UHN compensation policy
Shifts: 
Monday – Friday
Status: Permanent Full-time
Closing Date: June 2, 2024

Position Summary
The Princess Margaret Cancer Centre (PM), University Health Network (UHN), is the largest cancer centre in Canada, providing more patient visits and involving more cancer doctors and specialists than any other oncology centre in Canada. The Computational Biology and Medicine Program (CBMP) is home to scientists and clinicians interested in computational methods used to aggregate, analyze and share biomedical data for basic, translational and clinical research. Within CBMP, innovative computational methods and scientific software are being developed to investigate the biological processes involved in oncogenesis, cancer evolution and response to therapies.

89 days ago

Staff

Princess Margaret Cancer Centre - Computational Biology & Medicine Program -

Company Description

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.

Job Description

Union: Non-Union
Site: Princess Margaret Cancer Centre
Department: Computational Biology and Medicine Program
Reports to: Principal Investigator
Work Model: On-Site
Grade: N0:06
Hours: 35 hours per week
Salary: $60, 642 – $75, 803 per annum:  To commensurate with experience and consistent with UHN compensation policy
Shifts: 
Monday – Friday
Status: Permanent Full-time
Closing Date: May 24, 2024

Position Summary 
The Princess Margaret Cancer Centre (PM), University Health Network (UHN), is the largest cancer centre in Canada, providing more patient visits and involving more cancer doctors and specialists than any other oncology centre in Canada. The Computational Biology and Medicine Program (CBMP) is home to scientists and clinicians interested in computational methods used to aggregate, analyze and share biomedical data for basic, translational and clinical research. Within CBMP, innovative computational methods and scientific software are being developed to investigate the biological processes involved in oncogenesis, cancer evolution and response to therapies.

113 days ago

Staff

Ontario Institute for Cancer Research -

The Pan-Canadian Genome Library (PCGL) is a CIHR-funded 15M$ initiative designed to establish a collaborative framework for the management and sharing of human genomic data. Hosted and managed through CGEn’s three nodes at McGill University, SickKids and BC Cancer’s Genome Sciences Centre, the PCGL project aims to establish a ground-breaking platform that will unify Canada’s human genome sequencing efforts and set out a federated data management system that leverages international standards and respects limitations on the jurisdictional and cultural movement of human genetic data.

As the host of Bioinformatics.ca who is the lead of PCGL’s training working group, the Ontario Institute for Cancer Research (OICR) is seeking a Bioinformatics Training Lead to be responsible for development and delivery of a genomics and bioinformatics training program for PCGL involved groups and members across Canada. The role involves developing relationships with healthcare providers, researchers, and trainees from diverse communities to evaluate their skill gaps in understanding and using human genomic data for research and health benefit. The role will collaborate closely with the Bioinformatics.ca team to co-develop training programs in fundamental concepts like data management and ethical considerations when working with genomic data, as well as work independently to develop training programs specific to PCGL needs. The goal  of PCGL training is to generate a workforce capacity in genomics.

This position is temporary, full-time for two (2) years with the possibility of renewal.

192 days ago

Staff

Hospital for Sick Children -

The Department of Paediatric Laboratory Medicine (DPLM) at SickKids is a leading, world-class facility working towards reducing the impact of childhood illness by providing diagnostic information that allows for early selection of best treatment options. DPLM is a valuable and integral part of the SickKids team, generating original research and providing timely, specialized diagnostic services for health care providers in Canada and around the world. The department comprises of five divisions: Clinical Biochemistry, Genome Diagnostics, Haematopathology, Microbiology, and Pathology. All DPLM laboratories are accredited by Accreditation Canada Diagnostics. 

 

The Hospital for Sick Children in Toronto is looking for a talented and motivated Bioinformatician to work in the field of clinical molecular diagnostics. The successful candidate will join a multidisciplinary team employing state-of-the-art sequencing technologies and advanced analysis methods to better diagnose and treat genetic and infectious diseases.  

The group is situated in the Department of Paediatric Laboratory Medicine and works collaboratively between the Division of Genome Diagnostics and the Division of Microbiology 

 

The Division of Microbiology at SickKids has been engaged in clinical SARS-CoV-2 viral sequencing and fungal sequencing and continues to develop and deploy new tests into routine clinical practice to support epidemiology for hospital acquired infections, clinical outbreak response, and clinical metagenomic sequencing for rapid diagnosis.  

Genome Diagnostics is the largest CLIA certified laboratory in Canada and is working on a number of clinical initiatives, whose aims include translation of new sequencing technologies into diagnostic testing for human disease and building databases and data sharing capacity to better interpret genomic variation for clinical use.