If you are interested in joining the lab submit a CV, a short (one-two-page) description of research interests and experience, and contact information for at least two references to careers (at) hancocklab (dot) com We look forward to hearing from you!
We wish to express our thanks to all applicants for their interest and effort in applying for the position; however, only candidates selected for interviews will be contacted.
Postdoctoral Fellow/Computational Biology
The Department of Microbiology & Immunology is seeking a highly qualified and motivated full-time Bioinformaticist to start January/February 2018. The successful candidate will join the Hancock research group and will perform algorithmic and statistical analyses on genomic and transcriptome sequencing data sets. Specific projects will involve cystic fibrosis, sepsis, bacterial mobility as well as novel peptide therapeutics that target inflammation. This position involves running genome sequencing data analysis pipelines, testing and maintenance of existing sequence-analysis pipelines, automation of routine programming and data-analysis tasks and workflows, managing and processing genomic data, interpretation of results and, where necessary, contributing to the development of software implementing novel algorithms and statistical models. The successful candidate will provide consultation to researchers on study design, analysis and statistical methods.
Qualifications and experience: recent completion (< 3years) of a PhD in a biological science discipline (Biology/Immunology/Biochemistry/Cell Biology). Track record of publishing in top-level, peer-reviewed journals. Demonstrated expertise in bacterial genetics, immunology and cell biology. Demonstrated experience in analyzing transcriptomic data sets. Demonstrated ability to work productively in a collaborative research team. Additional experience required:
- Experience in working with next generation sequencing data and related analysis tools and workflows
- 2+yrs experience working in a research or corporate environment
- Strong knowledge of Unix/Linux operating system
- Considerable programming/scripting skills in R and Python
- Familiarity with human genome databases (Ensembl, UCSC genome browser, NCBI)
- Familiarity with parallel computing environments (Linux clusters, SunGridEngine, etc
- Experience with bioinformatics tools such as Bioconductor considered an asset
- Experience in development of algorithms/machine learning/statistical models for bioinformatics considered an asset
- Experience with RNA-Seq data analysis an asset
- Experience with data sets from human biological samples an asset
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.
Candidates without a PhD, but with similar skills and experience could be considered for positions appointed through M&P or Research Assistant/Technician classifications depending on degrees held and level of experience. Applicants with PhDs in Bioinformatics and/or Computer Science need to show demonstrated experience with biological data and a strong comprehension of human biological systems.
To Apply: Submit a CV, a short (one-two-page) description of research interests and experience, and contact information for at least two references by e-mail to: careers (at) hancocklab (dot) com