DESCRIPTION
Based on the campus of BC Children’s Hospital, the Wasserman laboratory partners 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
MAJOR RESPONSIBILITIES
- 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
- Evaluate candidate variants through the use of in silico prediction tools and apply guidelines for the interpretation of sequence variants
- Data management and tracking of incoming NGS data
- 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 development of software requiring python programming
- Perform other related duties.
QUALIFICATIONS
Education and Experience:
- D. degree in a life sciences discipline; within 4 years of receipt of degree
- A minimum of 2 years demonstrated 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
- Experience with computer clusters
HOW TO APPLY
Please email your cover letter and resume to wyeth@cmmt.ubc.ca. 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.
UBC hires on the basis of merit and is strongly committed to equity and diversity within its community. We especially welcome applications from visible minority group members, women, Aboriginal persons, persons with disabilities, persons of minority sexual orientations and gender identities, and others with the skills and knowledge to productively engage with diverse communities. All qualified candidates are encouraged to apply; however Canadians and permanent residents will be given priority.