The University of Colorado Comprehensive Cancer Center (UCCC) is seeking a PhD-level Bioinformatics researcher who will specialize in the analysis of –omics data. The UCCC places a strong emphasis on reproducible research, and a skillset that is compatible with reproducible data science practices is required. The ideal candidate will have a proven track record of leading the analysis of experiments using multiple -omic profiling technologies, such as whole genome/exome sequencing, ChIP-/ATAC-seq, RNAseq, proteomics, metabolomics, mass cytometry, and/or single cell technologies. The holder of this position will collaborate with UCCC investigators to lead the bioinformatics analysis of individual projects. This position will also participate in group meetings with other Bioinformaticists and occasionally present in educational seminars.
An additional benefit of this position will be the ability to spend up to 25% of their time developing novel computational methods as independent research. Thus, the individual will have the opportunity to develop independence of research through individual and collaborative grant funding.
The UCCC is the top-ranked NCI-designated comprehensive cancer center in the mountain region of the United States. The UCCC has a membership of 280 faculty that span research from basic cancer biology to epidemiology and cancer prevention. The University has made major investments into centralizing patient medical records for research purposes, bringing in cutting edge single cell technologies at the protein, DNA, and RNA level (10x Genomics, VECTRA, MIBI, mass spectrometry, high content microscopy), made major investments in to building research programs in Immuno-oncology, data analytics, RNA biosciences, and Fibrosis. The UCCC is committed to developing cutting edge basic research and translating these findings into the clinic. With 15 shared resources, including Genomics, Functional Genomics, Proteomics/Metabolomics and Biostatistics and Bioinformatics.
This position will be fully supported through the UCCC with generous salary compensation commensurate with the qualifications and experience of the individual.
-A PhD in Bioinformatics/Biostatistics/Computational Biology or related fields
- Demonstrated track record of project completion through peer-reviewed publications.
- Experience with at least one major version control system (git, mercurial, svn).
- Programming experience in in R or Python.
- Shell scripting experience, including the ability to integrate multiple tools into a single workflow.
- Lead the analysis of projects involving -omics data through the Biostatistics and Bioinformatics Shared Resource
- Develop and run Bioinformatics pipelines.
- Develop collaborative relationships with UCCC members
- Develop and implement algorithms for the analysis of -omics data
- Reviewing and editing grants and manuscripts
- Participate in lab meetings and seminars
- Communicate with other bioinformaticists to exchange expertise and assistance
- A desire to work collaboratively with multiple researchers at once in the cancer space
- Excellent communication and interpersonal skills