Primary Purpose: The primary purpose of this position is to provide bioinformatics expertise, data analysis and support for health science researchers, particularly in the area of Cancer Research. This includes assistance with analysis of researcher-generated data (e.g. Next-Generation sequencing data that may include: exome, whole genome, whole genome bisulfite, RNA-seq, ChIP-seq and other types of ‘omics data). In addition, the bioinformatics analyst will assist will analyses of data from the many large public databases to help researchers find, analyze, evaluate and report data relevant to the researcher’s questions. The successful candidate will have experience analyzing publicly available and newly generated genomics and transcriptomics data in a Linux/UNIX environment. Experience interpreting results in an oncological context is highly desirable.
Nature of Work: Reporting to the Cancer Cluster Lead, the Bioinformatics Analyst will support large scale sequencing and data analysis projects, as directed.
Typical Duties or Accountabilities: : Responsibilities of the Bioinformatics Analyst include, but are not limited to:
Processing of researcher generated sequencing data (e.g., genomics, transcriptomics etc.) including data quality assessment, generating results using custom and established pipelines and workflows, and assisting with analysis and data interpretation
Analyzing large public databases particularly those containing both ‘omics (genomics, gene expression, mutations etc.) and clinical data (e.g. survival outcomes). Some examples include: cBioportal, TCGA, META500, CPTAC, GTEx, TARGET, gnomAD, GENIE, SEER
Researching, implementing, and validating bioinformatic tools for specific project analyses
Troubleshooting software and scripts
Streamline and maintain NGS data analysis pipelines and manage storage of the datasets and results
Organizing results into clear presentations, figures, or summaries.
Education: A minimum of bachelor’s in bioinformatics, computational biology, genomics or a related field with 2 years of experience. Preference would be given to Master’s or PhD degree holders with relevant experience
Experience: Previous experience performing processing and analyzing genomic and transcriptomic data is required
Skills:
Experience in analyzing and obtaining insights from high throughput sequencing data including RNA-seq, WGS and WES
Experience with Chip-Seq, ATAC-Seq, scRNA-Seq would be an asset
Experience integrating data from major public sources (e.g., cBioportal, TCGA, META500, CPTAC, GTEx, TARGET, gnomAD, GENIE, SEER) to inform subsequent analyses is required
The ideal candidate will have experience using software tools and resources (e.g., Ingenuity Pathway Analysis (IPA), Connectivity Map (CMAP, Broad Institute), KEGG Database and Pathways Analysis, Reactome Pathways Analysis, iPathwayGuide, DAVID, Innate DB, Bioconductor, XevaDB, ClinVar, PharmGKB, NIH LINCS, STRING, PPI Networks, UALCAN, KM plotter, CIBERSORT, DepMap)
Experienced in using software tools and resources (e.g., STAR, Bowtie2, GATK pipeline, DESEQ2, EdgeR, Ingenuity Pathway Analysis (IPA), Bioconductor, Conda)
Strong programming skills using multiple languages, including Python, Bash and R
Proficient in utilizing and programming within a High-Performance Computing (HPC) environment
Excellent communication skills. Ability to communicate results effectively to the researchers
Highly experienced in working independently and as part of a team and will also have a demonstrated track record of strong technical, analytical, organizational, time-management and communication skills.
Department: Cancer Research Unit
Status: Term 2 years with the possibility of extension or becoming permanent
Employment Group: Research Positions - Non-union Full Time Equivalent (FTE): 1.0
Salary: The salary range, based on 1.0 FTE, is $27.18 - 36.77 per hour. The starting salary will be commensurate with education and experience.
Salary Family (if applicable): Salary Phase/Band: Salary Band 6
Posted Date: 9/18/2024
Closing Date: 10/16/2024 at 6:00 pm CST Number of Openings: 1 Work Location: On Campus
The University is committed to employment equity, diversity, and inclusion, and are proud to support career opportunities for Indigenous peoples to reflect the community we serve. We are dedicated to recruiting individuals who will enrich our work and learning environments. All qualified candidates are encouraged to apply; however, in accordance with Canadian immigration requirements, Canadian citizens and permanent residents will be given priority. We are committed to providing accommodations to those with a disability or medical necessity. If you require an accommodation to participate in the recruitment process, please notify us and we will work together on the accommodation request. We continue to grow our partnerships with Indigenous communities across the province, nationally, and internationally and value the unique perspective that Indigenous employees provide to strengthen these relationships. Verification of Indigenous Membership/Citizenship at the University of Saskatchewan is led and determined by the deybwewin | taapwaywin | tapwewin: Indigenous Truth policy and Standing Committee in accordance with the processes developed to enact the policy. Successful candidates that assert Indigenous membership/citizenship will be asked to complete the verification process of Indigenous membership/citizenship with documentation. The University of Saskatchewan’s main campus is situated on Treaty 6 Territory and the Homeland of the Métis. We pay our respects to the First Nations and Métis ancestors of this place and reaffirm our relationship with one another. Together, we are uplifting Indigenization to a place of prominence at the University of Saskatchewan.
