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Position Summary:
We are looking for a motivated postdoctoral researcher to spearhead a research project focused on pediatric-type brain cancers. The project has a heavy computational biology component. Therefore, bioinformatics skills and expertise are necessary. In addition, depending on interest and experience, the postdoctoral researcher will also have to opportunity to conduct studies in cell and animal models.
Working in a multi-disciplinary team of wet-lab and dry-lab scientists, the researcher will investigate the mechanisms of pediatric diffuse glioma initiation and progression, and aim to identify therapeutic targets. To do so, the researcher will notably analyze bulk and single-cell multi-omics datasets (gene expression, DNA methylation, chromatin accessibility, transcription factor binding, and others) from mouse and human brain tumor samples at different stages of progression and after exposure to therapies.
The postdoctoral researcher will have opportunities to lead projects, devise data analysis strategies, and develop or implement new computational analysis pipelines. The researcher will be expected to work closely with wet-lab scientists to integrate the analysis of omics data and wet-lab experimental results.
The researcher will have opportunities to present their work at lab meetings, local and international conferences, and will be expected to contribute to writing manuscripts describing their results. The researcher will also be expected to apply for fellowships for which they are eligible.
Qualifications:
PhD in a relevant field of study (computational biology, quantitative sciences, cancer biology, or other), obtained less than 5 years ago.
Other Qualifying Skills and Abilities:
- Familiarity and experience with R and Python programming is essential.
- Experience in the analysis of next-generation sequencing data is essential (for example: RNA-sequencing, ChIP-sequencing, CUT&RUN, ATAC-sequencing, etc.). Expertise should be demonstrated through publications.
- Experience with single-cell bioinformatics analysis pipelines is a strong asset.
- Knowledge and training experience in cancer biology and/or epigenetics is a strong asset.
- Good capabilities to work independently and to lead a project.
- Good collaborative skills and ability to work in a team.
- Excellent verbal and written communication skills.
- Track record of publications in peer-reviewed journals.
- Experience with grant writing is an asset.
This position is governed by the AMURE/PSAC - Postdoctoral Fellows collective agreement.
https://www.mcgill.ca/hr/files/hr/collective_agreement_-_post_docs_-_2023-2026_-_final_-_with_signture.pdf.
Before applying, please note that to work at McGill University, you must be both authorized to work in Canada and willing to work in the province of Quebec at the campus where the position is based / located.
McGill University is an English-language university where most teaching and research activities are conducted in the English language, thereby requiring English communication both verbally and in writing.
Annual Salary:
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McGill University hires on the basis of merit and is strongly committed to equity and diversity within its community. We welcome applications from racialized persons/visible minorities, women, Indigenous persons, persons with disabilities, ethnic minorities, and persons of minority sexual orientations and gender identities, as well as from all qualified candidates with the skills and knowledge to productively engage with diverse communities. McGill implements an employment equity program and encourages members of designated groups to self-identify. Persons with disabilities who anticipate needing accommodations for any part of the application process may contact, in confidence, [email protected].
Skills Required
- PhD in computational biology, quantitative sciences, cancer biology, or related (obtained less than 5 years ago)
- Experience with R programming
- Experience with Python programming
- Experience analyzing next-generation sequencing data (RNA-seq, ChIP-seq, CUT&RUN, ATAC-seq)
- Track record of publications in peer-reviewed journals (demonstrating expertise)
- Experience with single-cell bioinformatics analysis pipelines
- Knowledge/training in cancer biology and/or epigenetics
- Ability to work independently and lead a project
- Collaborative team-working skills and excellent verbal/written communication
- Experience with grant writing
What We Do
McGill University is a public research university with extensive research activities across various engineering disciplines, including civil and materials engineering, focusing on areas like construction materials and advanced manufacturing.
