Job Listings

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.

The Department of Biochemistry & Molecular Biology in the Cumming School of Medicine invites applications for a Tenure-track position as an Assistant Professor (Teaching) in Bioinformatics.

The University of Calgary’s Charbonneau Cancer Institute has a thriving research program focused on multi-omic profiling of cancer patients for precision medicine applications to cancer patients in Alberta and beyond. This program is integrated within the Marathon of Hope Cancer Centers Network, a pan-Canadian initiative aiming to close the gap between research and patient care. In this position, the recruited bioinformatician will (1) analyze multi-omic datasets to identify and study therapeutic targets for precision therapy in solid tumors, and (2) contribute to implementation of a clinical reporting system of molecular data results.  

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.

A post-doctoral fellowships (PDF) position in the field of machine learning/computational biology is available in the School of Biomedical Engineering and Department of Pathology and Laboratory Medicine at the University of British Columbia/Vancouver General Hospital. The incumbents will join an interdisciplinary team working to establish a program on machine learning applications in pathology and genomics. Candidates are expected to have extensive experience in one or more of the following areas: diverse areas of machine learning and statistics especially deep neural networks, statistics, and image processing. The candidate will play an important role in the project team, including authoring grants, conducting large-scale international projects, managing collaborations, disseminating research findings, and assisting in managing junior lab members. The successful candidate will report to the Principal Investigator (Director of AI Research at OVCARE, Dr. Ali Bashashati).  

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.

Within this project funded by the ADlab laboratory (Arnaud Droit Lab, compbio.ca), the main goal will be to transform the access and analysis of biological knowledge databases (BKDs) through the integration of these databases into a knowledge graph and the use of large language models (LLMs). This initiative aims to facilitate natural querying of biological data, making research more accessible to biologists without specific expertise in programming or data analysis. The main objectives include: Building a biological knowledge graph that integrates multiple BKDs to improve their cohesion and extract valuable information. Developing and training specific LLMs capable of interpreting and querying this graph in natural language. Creating and evaluating a conversational agent based on these LLMs, to allow intuitive querying of BKDs using natural language requests.

Research Programmer–Bioinformatics Databases About the GSC Canada’s Michael Smith Genome Sciences Centre (GSC) Today’s Research. Tomorrow’s Medicine. The GSC is a department of the BC Cancer Research Institute and a high-throughput genome sequencing facility. We are leaders in genomics, proteomics and bioinformatics in pursuit of novel treatment strategies for cancers and other diseases. Among the world’s first genome centres to be established within a cancer clinic, for more than two decades our scientists and innovators have been designing and deploying cutting-edge technologies to benefit health and advance clinical research. Among the GSC’s most significant accomplishments are the first publication to demonstrate the use of whole-genome sequencing to inform cancer treatment planning, the first published sequence of the SARS coronavirus genome and major contributions to the first physical map of the human genome as part of the Human Genome Project. The Research Programmer will become part of an exceptional and diverse team of scientists, clinicians, experts and professionals operating at the leading edge of clinical research. We look for people who share our core values—science, timeliness, respect—to join us on our mission to use genome science for the betterment of health and society. Job Reference No. RP_R00008_Bioinfo/Databases_2024_03_25 Summary Canada’s Michael Smith Genome Sciences Centre (GSC) is a state-of-the-art, large scale, high throughput, clinically accredited genomics and bioinformatics facility. We are currently looking for a Research Programmer to work on the Marathon of Hope Projects The Research Programmer will work with the Development Support team to lead the activities on the web application development, API development, and database development to support LIMS requirements, invoicing, project summary statistics as well as applications to support the Marathon of Hope Cancer Centres Network (MoHCCN). They will work with Project Leaders to ensure all scientific milestones are achieved and contribute to progress reporting as required. Opportunities may exist for further research on the genomic applications developed and for scholarly publication.​ The position is anchored within a team of exceptional scientists, computational biologists and programmers, which collaborate directly on improving genome sequencing technology, interpretation and application. By working within the MoHCCN program at the GSC, you will develop close relationships with world-renowned specialists in bioinformatics and have access to one of the most robust computational and next generation genome sequencing technology facilities in Canada, all while living in one of the most beautiful, diverse and eclectic cities in the world. This is an opportunity to work with highly motivated colleagues in a science-oriented, creative and dynamic environment. We offer a competitive salary, excellent benefits and significant career development opportunities. Apply now!

Position: Bioinformatician I Location: MaRS Centre, Toronto Department: Drug Discovery Program Reports To: Scientific Advisor Salary: Commensurate with level of experience; total compensation includes a competitive benefits plan (Sun Life), plus a defined benefit pension plan (HOOPP) Hours: 35 hours/week Job Type: Hybrid Status: Full-Time, Temporary (1-year contract with possible conversion to permanent position)   The Ontario Institute for Cancer Research (OICR) is seeking a Bioinformatician who possesses the relevant training to join the Drug Discovery (DD) Program. The program aims to help efficiently translate discoveries made in Ontario’s labs into novel oncology therapies, spanning the entire drug discovery process from target identification and validation to clinical candidate selection.  The DD Program is collaborating with OICR’s Adaptive Oncology (AO) to develop computational tools to identify and prioritize biological targets and biomarkers. The AO Program seeks to develop knowledge and approaches to monitor cancer over time and in response to treatment, to enable precise and proactive clinical management.   This position is temporary, full-time for one-year, with the possibility of conversion to a permanent position.   The successful candidate will work closely with data scientists and biologists from OICR’s Adaptive Oncology and Drug Discovery programs to co-develop novel algorithms/methods and pipelines for target/biomarker discovery. This is an exciting opportunity to learn about the latest developments in drug discovery and the use of various bioinformatic and machine learning approaches in computational biology, while contributing to the development of new treatments for cancer.   While most work is completed remotely, there will be occasional onsite team meetings or events, where attendance is expected. About OICR OICR is Ontario’s cancer research institute. We bring together people from across the province and around the world to improve the lives of everyone affected by cancer. We take on the biggest challenges in cancer research and deliver real-world solutions to find cancer earlier and treat it more effectively. We are committed to helping people living with cancer, as well as future generations, live longer and healthier lives. Launched in December 2005, OICR is an independent institute funded by the Government of Ontario through the Ministry of Colleges and Universities.   For more information about OICR, please visit the website at www.oicr.on.ca. To learn more about working at OICR, visit our career page.

The University of Florida (UF) is the flagship campus of the State of Florida university system and is ranked as the #5 best public US university according to US News and World Report. UF is one of only a few comprehensive universities, having medical, veterinary, dental, nursing, public health, and engineering disciplines all co-localized on the same, contiguous campus. UF is a highly collaborative environment that provides researchers with many opportunities for learning (e.g., top seminar programs, excellent core research facilities) and research collaborations. Gainesville is located in the northern region of Florida, within 1-1.5 hours of each coast, and just 1.5-2 hours to Orlando and Tampa. It is a small to medium-sized city with a low cost of living, good restaurants and entertainment, and southern hospitality. While Gainesville is widely recognized as the home of the Gators, it is quickly becoming known as a center for innovation and a place with a lifestyle that’s comfortable for families, yet attractive for young professionals.