Bioinformatician

Duties include:

– Performing bioinformatics analyses and modeling for multiple research projects using adapted versions of analysis pipelines accounting for the uniqueness of each experiment.

– Providing bioinformatics consultations to the LSI research community.

– Helping to educate/mentor trainees performing their own modeling and analyses with one-on-one sessions.

– Creating and providing bioinformatics workshops covering topics relevant to the LSI research community. It is expected that these educational activities will initially represent an important part of the bioinformatician’s role.

– Keeping an up-to-date working knowledge of the various software tools and new types of omics data being generated by the research community with an emphasis on data generated by the LSI Core Facilities and their multi-omics integration.

– Creating and maintaining analysis pipelines for various types of omics data, including for example variant detection in whole genome sequencing, RNA-Seq, scRNA-Seq, ChIP-seq, denovo assembly, metagenomic sequencing, microarray, mass-spec based proteomics, metabolomics, high-throughput screening, and other emerging omics technologies.

– Integrating multiple omics data types together.

– Performing quality control of the analyzed datasets and clearly communicating the results to the experimentalists.

– Documenting the bioinformatics and statistical methods for inclusion in research publications.

– Facilitating the sharing and standardization of bioinformatics between LSI, UBC and others.

– Helping researchers access and submit their datasets to the relevant public databases.

– Graduate degree in bioinformatics or related life sciences discipline, with at least three years of relevant work experience.

– Experience designing and delivering bioinformatics workshops, teaching bioinformatics and mentoring students

– Extensive experience working with the Unix/Linux environment. Experience working in HPC Cluster and Cloud Computing environments is an asset.

– Demonstrated expertise with multiple bioinformatics tools used to process short and long sequencing reads.

– Demonstrated expertise in R and experience with the corresponding bioinformatics packages.

– Programming fluency in a high-level language like Python.

– Familiarity with workflow management systems like Nextflow and Snakemake. Experience with a container platform like Singularity is an asset.

– Functional knowledge of distributed version control systems such as Git is an asset.

– Ability to work both independently and within a team environment.

– Effective oral and written, interpersonal, analytical, and organizational skills.

– Ability to convey concepts and analysis results to non-specialists.

– Knowledge of the various types of data produced by omics experiments and willingness to keep up-to-date in fast moving research fields.

– Experience working on multiple research projects where the candidate was performing the required bioinformatics analyses.

– Bioinformatics and computational skills complementary to the current expertise within the Bioinformatics Core Facility is an asset.