Develop and apply statistical and computational tools to analyze large scale omics and high dimensional data from internal, publicly available, commercial, and real-world datasets to enable novel target identification, target assessment, MoA elucidation, drug combination rationale, and patient stratification, etc; Design and apply statistical techniques and machine learning algorithms to enable the discovery and evaluation of preclinical predictive and prognostic biomarkers for oncology projects; Collaborate with cross-functional teams to analyze and interpret complex large datasets and efficiently communicate findings to non-computational scientists and senior leaders
Requirements:
A PhD in bioinformatics, computational biology, biostatics, cancer genomics, or a related field with at least 5 years of relevant work experience. Industry experience is preferred; Excellent interpersonal and communication skills that foster collaboration and teamwork; Basic understanding of cancer biology, immunology, molecular and cell biology; Proficiency in R, Python, Perl, JAVA, or C/C++ programming languages
Text:
Sr Research Scientist - Oncology Bioinformatics, Research Data Science Develop and apply statistical and computational tools to analyze large scale omics and high dimensional data from internal, publicly available, commercial, and real-world datasets to enable novel target identification, target assessment, MoA elucidation, drug combination rationale, and patient stratification, etc; Design and apply statistical techniques and machine learning algorithms to enable the discovery and evaluation of preclinical predictive and prognostic biomarkers for oncology projects; Collaborate with cross-functional teams to analyze and interpret complex large datasets and efficiently communicate findings to non-computational scientists and senior leaders A PhD in bioinformatics, computational biology, biostatics, cancer genomics, or a related field with at least 5 years of relevant work experience. Industry experience is preferred; Excellent interpersonal and communication skills that foster collaboration and teamwork; Basic understanding of cancer biology, immunology, molecular and cell biology; Proficiency in R, Python, Perl, JAVA, or C/C++ programming languages
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