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. Principal Responsibilities: #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.
2893 BIOINFORMATICIAN II
Job Family Level
Full Time / Part Time
Regular / Temporary
Duke University is an Affirmative Action/Equal Opportunity Employer committed to providing employment opportunity without regard to an individual's age, color, disability, genetic information, gender, gender identity, national origin, race, religion, sexual orientation, or veteran status. ******************************************************* Essential Physical Job Functions: Certain jobs at Duke University and Duke University Health System may include essential job functions that require specific physical and/or mental abilities. Additional information and provision for requests for reasonable accommodation will be provided by each hiring department.
Work requires a M.S. in the biological sciences with demonstrable computational skills or a M.S. in computer science with a strong interest in biology/genomics.
Work requires at least 5 years of experience in bioinformatics. Experience with web-based bioinformatics tools, public domain biological databases and software tools for sequence, domain and structural analysis. Extensive familiarity with and development of computational tools in biology that use genomic data to generate biological hypotheses. Experience with a procedural language, proficient in Java, Perl, 'C', web design, DNA genome informatics, proteomics informatics, statistics, and computer science. Experience with relational databases and SQL helpful. OR AN EQUIVALENT COMBINATION OF RELEVANT EDUCATION AND/OR EXPERIENCE
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Duke University is an Affirmative Action/Equal Opportunity Employer committed to providing employment opportunity without regard to an individual's age, color, disability, genetic information, gender, gender expression, gender identity, national origin, race, religion, sexual orientation, or veteran status.
Essential Physical Job Functions: Certain jobs at Duke University and Duke University Health System may include essential job functions that require specific physical and/or mental abilities. Additional information and provision for requests for reasonable accommodation will be provided by each hiring department.