www.acad.jobs : academic jobs worldwide – and the best jobs in industry
                
     
Position: Sr Research Scientist - Bioinformatics Cancer Biology
Institution: Gilead Sciences, Inc.
Location: Foster City, California, United States
Duties: Develop and implement quality assessment, statistical analysis and data visualization for multi-omics datasets (e.g., RNA-Seq, single cell sequencing, WES, WGS, Chip-Seq, NanoString, multiplex qPCR, TCR-Seq, BCR-Seq); Develop and apply statistical and computational tools for analysis of large omics and high dimensional data from publicly available, commercial, and real-world datasets to enable novel target identification, target assessment, drug combinations, and patient stratification, etc; Design and apply bioinformatics algorithms, unsupervised and supervised methods, univariate and multivariate regression analyses to enable the discovery and evaluation of preclinical predictive and prognostic biomarkers for oncology projects
Requirements: A PhD in bioinformatics, computational biology, biostatistics, cancer genomics, or a related field with a minimum of 5 years of relevant work experience. Industry experience is preferred; Excellent interpersonal and communication skills that foster collaboration and teamwork; Excellent problem-solving skills in complex situations; Basic understanding of cancer biology, molecular and cell biology; Proficiency in R, Python, Perl, JAVA, or C programming languages
   
Text: Sr Research Scientist - Bioinformatics Cancer Biology Develop and implement quality assessment, statistical analysis and data visualization for multi-omics datasets (e.g., RNA-Seq, single cell sequencing, WES, WGS, Chip-Seq, NanoString, multiplex qPCR, TCR-Seq, BCR-Seq); Develop and apply statistical and computational tools for analysis of large omics and high dimensional data from publicly available, commercial, and real-world datasets to enable novel target identification, target assessment, drug combinations, and patient stratification, etc; Design and apply bioinformatics algorithms, unsupervised and supervised methods, univariate and multivariate regression analyses to enable the discovery and evaluation of preclinical predictive and prognostic biomarkers for oncology projects A PhD in bioinformatics, computational biology, biostatistics, cancer genomics, or a related field with a minimum of 5 years of relevant work experience. Industry experience is preferred; Excellent interpersonal and communication skills that foster collaboration and teamwork; Excellent problem-solving skills in complex situations; Basic understanding of cancer biology, molecular and cell biology; Proficiency in R, Python, Perl, JAVA, or C programming languages
Please click here, if the job didn't load correctly.







Please wait. You are being redirected to the job in 3 seconds.