We are looking to hire a Postdoctoral Fellow in Cancer Epigenomics: Toronto, Canada
The laboratories of Dr. Mathieu Lupien is currently seeking applications for a Postdoctoral Fellow in cancer epigenomics to study the basis of tumor evolution within a collaborative research team at the Princess Margaret Cancer Centre/University Health Network.
The research laboratory of Dr. Mathieu Lupien is anchored on the vision that cancer can be conquered by treating it as a disease of the chromatin. Dr. Lupien’s research pioneered the study of chromatin variants as a form of inheritable variation that identifies the genetic drivers of cellular states in cancer (1); demonstrated that cancer development and progression can occur because of chromatin variants , having identified some forms of pediatric cancer as free of driver mutations (2) and showcased how genome engineering technologies, including epigenetic therapy and CRISPR based epigenetic editing, can target chromatin variants to block cancer programs (3). For more information on research interests and publications from the Lupien lab visit the lab website (www.pmgenomics.ca/lupienlab).
The successful candidate will benefit from the complementary expertise of Drs. Lupien team members in computational and experimental design (1), will be responsible to lead research projects focused on in-house generated longitudinal single-cell multiomic datasets from barcoded cancer models aimed at characterizing cell fate changes enabling tumor evolution (2), and identify the underlying genetic drivers by studying chromatin variations at single-cell resolution from scATAC-seq, single-cell methylation, and scRNA-seq data (3), and convert these discoveries into scientific peer-reviewed publications (4).
Applicants should expect to:
1- Lead independent research projects (drive projects forward, analyze & interpret data)
2- Thrive in a collaborative work environment (coordinate activities with experimentalists)
3- Demonstrate willingness to conduct leading edge research from the latest epigenetic-based technologies
4- Design, implement and maintain reproducible analytical pipelines on CodeOcean and in-house platforms
5- Apply fundamental knowledge of research principles, theories and concepts
6- Optimize and improve epigenomic assays by analyzing problems of broad scope and advanced complexity through a scientific approach
7- Demonstrate excellent competency in written and verbal communications
8- Readily engage with a diverse research team
9- Abide to the highest standards of excellence and integrity
Applicants should have a strong background in bioinformatics, computer science, evolution theory and/or experimental design with expertise in inherited variation, hold a doctoral degree in a relevant field, be looking for a collaborative and dynamic environment, and have a track record of productivity and innovation. Prior experience in generating and analyzing epigenetic datasets is an asset but not a requirement.
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 groundbreaking 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.
By joining the research team of Dr. Lupien and Dr. Gaiti you will benefit from four organization assets: Complementary team composition: The research team consists of highly qualified trainees with expertise in computational sciences and in experimental oncology engaged in the design and implementation of state-of-the-art software as well as the adoption and development of the latest chromatin & epigenetic technologies.
Partnerships accelerating our clinical impact: We collaborate with national and international clinician-scientists to address the most pressing needs for cancer patients. We partner with scientists across diverse disciplines to conduct research at the leading edge of innovation and transform tomorrow’s care.
State-of-the-art infrastructure and comprehensive resources: The Princess Margaret Cancer Centre is one of the top 5 cancer research centres in the world, and Canada’s largest cancer research and treatment centre. Its infrastructure and resources enable research at the forefront of clinical transformation by accelerating the conversion of basic and translational discoveries into the clinical setting.
Hosted in the 6IX: Toronto is the fourth largest city in North America and one of the world’s most multicultural cities. With a committed discovery district and a growing reputation as the global home of Artificial Intelligence, Toronto is home to the fastest growing tech ecosystem in North America and provides unique opportunities for the commercialization of discoveries. Toronto is the city on hyperdrive, the land of multitude that broadens your horizons and ignites your creativity.
Tagged as: Computer Science, Data Science, Life Sciences
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