Associate Biostatistician - Cancer Research
About The Position
Under the direction of the Department Administrative Manager and the Sequencing Center, the Junior Bioinformatician will provide analysis and computing support for cancer-related research including microarray and next-generation sequencing (NGS) data (genomic, transcriptomic, epigenomic, and proteomic) analysis. Providence caregivers are not simply valued – they’re invaluable. Join our team at John Wayne Cancer Institute and thrive in our culture of patient-focused, whole-person care built on understanding, commitment, and mutual respect. Your voice matters here, because we know that to inspire and retain the best people, we must empower them.
Requirements
- Bachelor’s Degree in Biology, Bioinformatics, Computational Biology, or a related field.
- Experience in processing and managing raw data generated from: Expression, SNP, and DNA methylation microarrays. Whole-genome and targeted (exome and/or gene panel) sequencing. Transcriptomic (mRNA-seq and smRNA-seq) sequencing. Epigenomic (Methyl-seq and ChIP-seq) sequencing. Other Next Generation Sequencing (NGS) techniques.
- Experience with NGS data generated on Illumina sequencing instruments, including the HiSeq and MiSeq platforms.
- Experience using open source genomic analysis tools including SAMtools, Picard, GATK, BWA, MuTect, BEDtools, VCFtools, among others.
- Experience using open source tools for the annotation and interpretation of genomic variants, such as ANNOVAR, VEP, SnpEff, among others.
- Experience in transcriptome analysis, including differential expression analysis using DESeq2, edgeR, limma, or similar.
- Experience in and understanding of the organization and utilization of public databases such as The Cancer Genome Atlas (TCGA), Gene Expression Omnibus (GEO-NCBI), ENCODE project, ArrayExpress (EMBL-EBI) among others.
- Experience working with large-scale NGS data in high performance cluster computing environments.
- Experience in at least one of the following scripting languages: bash, Python, or Perl.
- Experience in statistical analyses using R/Bioconductor.
- Unix/Linux system administration experience.
- Experience in biostatistics and bioinformatics.
Nice To Haves
- Experience using cloud computing platforms such as Amazon and/or Google.
- Experience using Cancer Genomics Cloud (CGC) resources.
Benefits
- Our best-in-class benefits are uniquely designed to support you and your family in staying well, growing professionally, and achieving financial security.
- We take care of you, so you can focus on delivering our Mission of caring for everyone, especially the most vulnerable in our communities.
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What This Job Offers
Job Type
Full-time
Career Level
Entry Level
Number of Employees
5,001-10,000 employees
