Bioinformatician II – Department of Cell Biology and Regeneration Next Initiative
The Bioinformatician II will collaborate with principal investigators and their postdoctoral fellows and students, to determine and tailor the most suitable computational methods to be used in research aimed at whole genome-wide chromatin and transcriptional analyses of tissues, and collection and analysis of whole-genome sequence information. The ideal candidate will independently perform scientific investigative procedures requiring application of professional judgment. Responsibilities also include to interpret experimental results and guide lab members through bioinformatics methods and analyses, and to help prepare reports of research for presentation or publication including high-quality figures that convey new findings.
• Performs complex computer analysis activities of relevant data. Analysis will include, but is not limited to, RNA-Seq, ChIP-Seq, ATAC-seq, 10X genomics, and Drop-seq based single cell RNA sequencing analysis etc. Candidates should be well-versed in quality control and alignment of next- generation sequence data and be able to present results of analysis so as to inform wet-lab experiments. Candidates will be asked to help laboratory personnel mine relevant data for enriched pathways, sequence motifs, and regulatory networks.
• Develops tools to design genome-wide guide RNA collections for Cas9/CrispR based screens.
• Develops software to meet analytical experimental needs of the lab. Candidates must be familiar with Perl, Python, Unix, C, and Java. Familiarity with open-source bioinformatics tools such as Bioconductor, Bioperl, Biopython, GenePattern, Ingenuity, Galaxy, and the EMBL suite of tools is preferred. Candidates will be asked to create and teach lab personnel about analytical pipelines. In some instances, candidates may be asked to develop novel packages for specific
analysis. Candidates will be encouraged to interact with and contribute to the open source bioinformatics community.
• Document all the analysis in a streamlined script, preferably on a R-Studio analysis platform.
• Administers complex database information. We expect that the datasets generated will lay the foundation for future mechanistic work. Candidates will be asked to help create local genome tracks summarizing genome-wide experiments performed in the lab to help inform experiments of laboratory personnel.
• Performs bioinformatics research and initiates new predictions of biological interest to the investigators' research goals.
• PhD in science and computer technology, or equivalent experience; and extensive research experience in computational biology and bioinformatics relevant to research projects in genome, chromatin, and transcriptional analyses.
• Technical proficiency and collaborative ability as well as independent thought.
• In-depth knowledge of multiple areas and of the underlying principles and concepts.
• In-depth understanding of complex equipment or processes. Can resolve problems in and integrate bioinformatics collaboratively with biologists.
• Ability to develop innovative processes to achieve goals. Reviews work activities to determine where
new information could improve processes or move projects forward.
• Ability to initiate and compose communications for various purposes in an appropriate style.
• Proficient in multiple operating systems and software packages.
Please send a cover letter, resume, and a list of at least 3 references to email@example.com