Job Description:
We are looking for a dedicated and knowledgeable bioinformatician to join our team in a full-time capacity and assist in all aspects of bioinformatics development for our platform. Responsibilities: The successful applicant will:
Additional Info:
Location: Toronto, ON, Canada Job Type: Staff Perks Flexible work hours and vacation policy. High impact work. Personal genome analysis. Work in the heart of Toronto’s Discovery District, or remotely. Awesome office environment. [Click Here to Access the Original Job Post]
We are looking for a dedicated and knowledgeable bioinformatician to join our team in a full-time capacity and assist in all aspects of bioinformatics development for our platform. Responsibilities: The successful applicant will:
- Research current literature and bioinformatics sources to identify potentially beneficial workflows to implement.
- Develop the new genomics workflows they identified using the Workflow Description Language (WDL), optimizing the workflows to run in a cloud environment.
- Work on existing workflows to achieve time and cost efficiency.
- Work closely with clients to adapt their existing workflows to WDL and run in the DNAstack cloud.
- Provide bioinformatics expertise to DNAstack, advising the team on all bioinformatics decisions.
- Provide bioinformatics expertise to clients, assisting them in all aspects of data analysis when required.
- Be responsible for defining and maintaining Docker images and files for use in DNAstack’s workflows.
- Test all aspects of created workflows and will assist in the quality assurance of the created data.
- Successfully completed a Master’s degree in Bioinformatics, Computational Biology, Genetics, or a related field of study.
- 3+ years bioinformatics experience with R, Python, Perl, Bash, Java, or related data analysis languages.
- Experience researching and implementing complex analysis pipelines for NGS data.
- Experience performing QA/QC on data before and after analysis.
- Experience working with large (100s TB) datasets at scale.
- Experience with distributed computing techniques, such as working with large clusters or in cloud environments.
- In-depth knowledge of the field of molecular genetics and a strong background in the analysis of all type of NGS data, with a particular emphasis on human datasets.
- In depth knowledge of the data generated through NGS (FASTQ, BAM, VCF) and a general understanding of the data’s biological interpretation.
- Experience with version control tools such as Git.
- Experience with Unix and common bioinformatics tools for genomic analysis.
- Experience working in a cloud environment would be considered an asset.
- A strong grasp of container technologies such as Docker, as well as public repositories like Docker-hub would be considered an asset.
- Experience with Workflow Description Language, or the Common Workflow Language would be considered an asset.
Requeriments :
- M.Sc. or higher Degree in Bioinformatics
- M.Sc. or higher Degree in computational biology
- Master’s Degree in Genetics
Skills :
- Bioinformatics
- Genetics
- Lunix/Unix
- Next Generation Sequencing
- Programing in Python
- Programming in Java
- Programming in PERL
- Programming in R
- Version Control
Areas :
Additional Info:
Location: Toronto, ON, Canada Job Type: Staff Perks Flexible work hours and vacation policy. High impact work. Personal genome analysis. Work in the heart of Toronto’s Discovery District, or remotely. Awesome office environment. [Click Here to Access the Original Job Post]