Computational Biology Post-Doctoral Scientist - Applied Genome Analysis

Organization
The University of British Columbia (UBC)
Job Location
Vancouver, BC V5Z 4H4
Canada
Job Description

Based on the campus of BC Children's Hospital, the Wasserman and van Karnebeek laboratories partner with a strong genetics community to develop and apply methods for the identification of disease causing variations in genome sequences. We are looking for a postdoctoral scientist to lead the research on developing and applying methods for the identification of disease causing variations in patients' genome sequences. The work requires close interaction with BC Children’s Hospital clinicians to understand the phenotypes of patients. A background in gene function analysis would be a strong asset for the applicant. The ideal candidate will develop innovative computational tools to discover relationships between gene annotation and patient phenotypes. The TIDEX project (PI Dr. C. van Karnebeek) has already led to the discovery of multiple confirmed human disease genes through our implemented computational pipeline. We further expect this pipeline to be improved by the applicant. Experience with BioPython or other modular programming tools for genome analysis is a strong advantage.

MAJOR RESPONSIBLITIES
• Conduct research and supervise projects in the subject of Applied Genome Analysis on developing and applying methods for the identification of disease causing variations in genome sequences
• Develop and apply methods for the identification of disease causing variations in genome sequences
• Interact closely with the PI and clinicians to understand the phenotypes of research subjects
• Apply computational skills to develop innovative ways to discover relationships between gene annotation and patient phenotypes
• Present findings at local, national and international scientific meetings where the impression can have direct influence on future scientific funding
• Write manuscripts describing the findings
• Assist in the development of grant and scholarship applications related to the research
• Contribute to quarterly and annual reports related to the research projects.
• Work with principal investigator to ensure that all scientific milestones are achieved.
• Oversee the daily activities of Applied Genome Analysis trainees and direct a portion of the effort of a scientific programmer.
• Oversee development of internet resources requiring CGI programming with the perl computer scripting language
• Perform other related duties.

Requirements

Education and Experience:
• Ph.D. degree in a life sciences discipline
• A minimum of 2 to 3 years demonstrated post-doctoral experience in bioinformatics with focus on genome sequence data processing and analysis.

Skills and Abilities:
• Knowledge of bioinformatics, with emphasis on genome sequence analysis and gene annotation
• Knowledge of scientific tools, technologies and online resources for gene disease relationship prediction
• Python and/or Perl programming
• Experience with the Linux environment
• Experience with computer clusters
• SQL database use via API interfaces
• Use of gene network analysis tools
• Use of project management tools for scientific interaction, such as wikis or shared document repositories.

How to Apply

Please email your cover letter and resume to [email protected]. Due to the number of resumes we receive, we are unable to confirm receipt of submissions over the phone, or provide the status of competitions except to those who are selected for an interview.

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