Job Description

Target PR Range: 49-59/hr
*Depending on experience

Services Overview:
Responsibilities include support of computational research priorities associated with oncology drug discovery programs. This variably entails querying large-scale cancer genomics resources for mutation/expression distributions, assessing internally generated omics datasets to derive biological insights, and investigating mechanisms that may affect clinical outcomes. Responsibilities also include informing discovery peers on computational opportunities for ongoing programs, providing feedback on experimental design, and communicating results to diverse scientific backgrounds.

Qualifications:
• A Ph.D. OR a Master’s degree with 1-3 years of industry work experience OR a bachelor’s degree with 6-8 years of experience in bioinformatics, computational biology, genomics, computer science, cancer biology, or immunology is required.
• Oncology experience is required, preferably with knowledge of immuno-oncology, immunology, and/or cancer genomics.
• Experience with next-generation sequence (NGS) analysis (RNAseq, WES, etc) and a strong understanding of principles behind raw data processing for common NGS data types are required.
• R fluency is required, Python competence is preferred.
• Experience with Linux, on-premise HPC, or AWS is required.
• Strong data visualization skills (ggplot2, plotly, etc) is required.
• Exceptional communication and collaboration skills are required.
• Experience with single cell platforms, proteomics, spatial omics, CRISPR screens etc is preferred.
• Familiarity with public genomics data repositories (Genomic Data Commons, SRA/GEO, ENA/EBI, TCGA, GTEx) preferred.
• Prior experience in the pharmaceutical industry or a related field is preferred.

Job Tags

Remote job, Contract work, Work experience placement,

Similar Jobs