The University of Colorado Comprehensive Cancer Center (UCCC) is seeking a PhD-level or equivalently experienced Bioinformatics researcher with a proven track record of analysis, interpretation and presentation of –omic related datasets, which can additionally include algorithm, pipeline, or database development. The ideal candidate will have developed a method to analyze or “make sense” of cancer multi-omic data. This position will be the manager of the Bioinformatics and Biostatistics Shared Resource (BBSR) through the UCCC, which is a group of highly experienced Bioinformatics analysts that work across an array of -omics technologies. The ideal candidate will be able to effectively collaborate and organize their time to work on multiple projects. This position will also offer the opportunity to develop independence of research through individual and collaborative grant funding. Key Responsibilities: The job is roughly split: 60% analysis/projects, 20% project/analyst management, 20% service and administration This position is ideal for individuals looking to gain experience and contribute to cancer research leveraging multi-omics data. The Bioinformatics and Biostatistics Shared Resource provides the opportunity to interact with over 250 cancer center members and participate in cutting edge research. We work closely cancer center members that generate multi-omic data and require Bioinformatics expertise, we meet weekly to discuss projects, we have the opportunity to attend numerous scientific presentations across campus, including the weekly Cancer Center Symposium series, and we work closely as a team to develop a shared code base. We are a close knit group of Bioinformatics analysts who collaborate to support cancer related research on campus. Given the nature of the work, which is all computational, there is flexibility to work remotely. We are situated just 25 minutes from the city of Denver, and are fortunate to be close by to hiking and skiing in the beautiful Rocky Mountains!! Please join us!!
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Job Type
Full-time
Education Level
Ph.D. or professional degree
Number of Employees
5,001-10,000 employees