- Toronto, ON, Canada
- Job Type:
- Degree Level Required:
- Apply Now
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.
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.
Required Experience and Skills
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.
How to Apply
please email a CV email@example.com and include the position name in the subject. For software development positions, please include a code sample or a link to a project you developed and consider interesting. We also appreciate any other information you think would help us understand your background better (your GitHub or Twitter accounts, blog, or anything else you deem appropriate).