A Computational Biologist position is available in Dr. Martin Hirst’s Epigenomics lab in the Department of Microbiology and Immunology, University of British Columbia, Canada.
The main focus of the research in the Hirst lab is directed at understanding the role of epigenetics in cancer and investigating the therapeutic potential of interventions directed at epigenetic processes through a combination of innovative molecular biology and computational techniques. The lab is part of many national and international cancer research initiatives, including Marathon of Hope Cancer Centres Network and Canadian Epigenetics, Environment and Health Research Consortium.
The successful candidate will be embedded within a team of experimental and computational biologists and have access to a state-of-the-science epigenomic mapping pipeline and an extensive collection of reference epigenomic datasets from normal tissues, primary cancer tissues and cells and models.
This position is ideally suited to a creative individual with a strong interest in the operation and management of cutting-edge software for biological applications within an academic setting. The incumbent will be responsible for data management, conversion and analysis of next-generation sequence datasets using open source informatic tools.
For more detailed information about the research in the Dr. Hirst’s lab, please see http://hirstlab.msl.ubc.ca/. To find out more about Dr. Hirst, including his position as Head of Epigenomics and Distinguished Scientist at Canada’s Michael Smith Genome Sciences Centre, please see https://www.bcgsc.ca/martin-hirst-phd.
Duties and Responsibilities
- Operating and improving a state of the art next generation sequencing data analysis pipeline.
- Tracking and informatics management of large volumes of data with data footprints of up to 100Gb per experiment.
- Performing sequence alignments, file merges and quality filtering using standardized tools.
- Converting sequence alignments to normalized read densities and performing pairwise differential analysis.
- Contributing to scientific grant proposals, presentations and publications.
- Experience working in a Unix environment, including experience with shell scripting and common command-line tools.
- Expertise in one or more scripting language(s) (e.g. Python, Perl, R, awk, C).
- Familiarity with the development and maintenance of relational databases.
- Experience working with next-generation sequencing data and tools would be an asset (i.e. tools for alignment and variant-calling).
- Experience with statistical software, software testing, and cluster computing would also be assets.
Applicants should apply through this link (UBC Job opening ID: JR6711).