Our group is focused on tackling some of the most challenging problems in cancer genomics spanning diverse research and clinical applications. If you are an expert in one or more of the following areas, we would like to hear from you.
Algorithm development - develop algorithms for analysis of vast amount of studies across various data types and platforms for translational research and clinical applications.
Data analysis - apply best practice statistical/computational methods to analyze large-scale biological data, such as gene expression, copy-number, mutation, methylation, next-generation sequencing, etc. in a fast-paced product development environment.
Pipeline development - design and develop pipelines to address novel analytical challenges and to automate established analysis so that thousands of studies can be analyzed in a robust manner
Required Skills and Experience
PhD in Bioinformatics, Computational Biology, Biostatistics, Computer Science
Expert knowledge on current bioinformatics/genomics/proteomics resources available at NCBI, Ensembl, UCSC, Broad Institute, etc.
Strong experience in data analysis and pipeline development
Expert in Python, R, shell scripting, and/or C/C++/C#
Ability to contribute independently and collaboratively, and to excel in a fast-paced environment
Superior written and verbal communication skills
Background in oncology or clinical experience
Strong background in machine learning
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