[post-doc] Bioinformatician in microbial metagenomics

Institution/Company: 
ADLab, Computational Biology Laboratory
Location: 
Québec, QC
Job Description: 

Institution
CHU de Québec, Université Laval

Location
Québec, Canada

Job description
The strategic goal of the L'Oreal Research Chair in Digital Biology is the development of bioinformatics tools and data analysis strategies for the treatment of multi-omic large datasets. Those tools will be developed in the context of multi-omics research on skin biological processes with the aim of contributing to the development of innovative skin and hair care products . The research chair is based on a collaboration between Laval University (Quebec, Canada) and L'Oreal's Research and Innovation department.

The bioinformatics laboratory of the research center of the CHU de Québec - Université Laval (CHUL) invites applications of a Bioinformatician post-doc position in Microbial Metagenomics (shotgun / 16S). This full-time fixed term position is for approximately 12 months (based on length of grant funding), with the possibility of extension. The Bioinformatician in Microbial Metagenomics will report directly to Arnaud Droit, principal investigator and director of the computational biology laboratory.

The successful applicant will join an interdisciplinary team focused on developing and applying computational methods in microbial metagenomics, but also various other OMICs-type projects, especially in cancer research. The team uses state-of-the-art applications of high throughput sequencing to analyze patients cohorts, identify biomarker signatures, and identify bacterial sequences that could potentially serve as diagnostic markers.

The Bioinformatician in microbial metagenomics will develop new methods and support the continued development of approaches for resolving genomes from metagenomes (16S and shotgun), performing comparative and functional genomics analyses, and curating pan-genomic sequence databases.
The position will commence as soon as possible. Salary will be commensurate with qualifications and experience.

Summary of Key Responsibilities (job functions include but are not limited to):

  • Works closely with the PI and other members of the lab to develop and troubleshoot software
  • Maintains compute environments that enable standardized, replicable analyses
  • Develop new approaches for 16S/shotgun analysis
  • Prepares software packages (including source code, help documents/wikis, and web or GUI interfaces) for public dissemination
  • Providing basic assistance to users in pipeline execution and interpretation of results.
  • Provides bioinformatics support and training to research staff and trainees with varying computer science backgrounds

Qualifications / Requirements:

  • PhD in a relevant area (Computer science, Bioinformatics).
  • Informal enquires of interested candidates with other backgrounds (for example statistics) are also welcome
  • Excellent understanding of concepts and principles of molecular biology and next-generation sequencing
  • Practiced understanding of how to develop complex software packages and bioinformatics pipelines
  • Experience with microbiome bioinformatic analysis tools
  • Knowledge of at least one scripting language (i.e. Python)
  • Fluency with Unix
  • Proficiency with a statistical language such as R
  • Demonstrated expertise in statistical analysis
  • Experience with data management and dataset manipulation
  • A firm understanding of relational database concepts
  • Strong verbal and written communication skills (fluency in French or English is necessary)
  • Excellent time management skills
  • Demonstrated communication, organization, problem solving, and interpersonal skills
  • Demonstrated ability to carry out research projects involving microbial sequence data
  • Peer-reviewed publications in the field is an asset, or demonstrated ability to publish research work in peer-reviewed journals

Candidates must send their presentation letter, CV and contact information to Dr Arnaud Droit (arnaud.droit@crchuq.ulaval.ca) and Dr Olivier Périn (operin@rd.loreal.com).