**Principal Investigator, David Casero, PhD is looking for a Research Bioinformatician to join the team!** The depth and breadth of the information generated by modern high-throughput technologies has promoted the integration of data-mining computational methods into everyday basic and clinical research. These so-called omics technologies can detect and quantify a diverse array of biomolecules and their modifications. The Casero Laboratory develops and applies computational methods for the analyses of high-throughput multi-omics data. We aim to bridge the gap between traditional approacheswhere one type of omics data provides a snapshot into potential disease biomarkersand current multi-omics efforts that can provide information into the actual drivers of disease. The Casero Lab is particularly interested in the establishment and maintenance of normal tissue homeostasis, supported by molecular interactions between members of the tissue microenvironment (e.g., epithelial, mesenchymal and immune cells) and additional factors (e.g., signals from microbial cells). A proper understanding of these interactions is instrumental to gain insights into the etiology of some complex diseases. With the help of our collaborators, the Casero Lab is harnessing the power of multi-omics libraries to generate novel data-driven hypothesis that can pave the way into future mechanistic and translational studies. For more information, please visit Casero Lab | Cedars-Sinai. **Are you ready to be a part of ground breaking research?** The Research Bioinformatician II (RB II) performs general bioinformatics analysis and software support for projects involving in omics, and interact with investigators to identify research problems, find appropriate software tools, and recognize national biological databases and online resources for omic data. The RBII will manage omic data including loading and querying data from database system and public repositories, and transform and merge multilevel omic data into user-friendly formats, assist in development, test, and maintenance of modular software pipelines, provide bioinformatics data analysis, preliminary interpretation of the data, and reports of the results for possible publications. The RB II will also work with bioinformatics faculties to determine future bioinformatics needs and demonstrate continuous self-improvement, make effective contributions to the section, and adhere to CSHS compliance plan, code of conduct, and hospital and departmental policies and procedures. **Primary Duties and Responsibilities:** + Provides general bioinformatics analysis support for omic projects and mainly responsible for data analysis and software compilations including next generation sequence alignment, polymorphism identification, expression analysis, and visualization tools and browsers. + Summarizes data analyses results in the form suitable as the basis for the first draft of written reports, and makes preliminary interpretations of the data. + Develop, test, and maintain modular software pipelines for genome sequencing, assembly, annotation, metagenomic analysis, and genotyping using high-throughput sequencing platforms including 454, Illumina, and Pacific Biosciences + Manages data including loading and querying data from database systems, downloading omic data from public repositories, and transforming data to the necessary formats + Familiar with medical and biological terminologies, bioinformatics resources, and national biological databases, Ready to provide solutions for investigators problems through data mining and extraction + Identify, evaluate, and incorporate relevant algorithms and software pipelines by reviewing pertinent literatures in bioinformatics and computational biology + Assists or collaborate in preparation of grant proposals, publications, and presentations involving omic data + Helps develop tools and pipelines as necessary to keep pace with rapid advances in sequencing technology. + Educate others about bioinformatics through mentoring of and teaching colleagues, investigators, fellows, and graduate students. + Assist in the development of machine learning approaches for the analyses of large-scale genomics, high throughput and single-cell datasets. **Education:** + Master of Science Degree in Computer Science, Electric Engineering, Computational biology, or Bioinformatics, or Master of Science/ Engineering in relevant fields (e.g. Biology with strong quantitative training, biostatistics with concentration in bioinformatics). **Experience and Skills:** + 3 years in research environment. Background and work knowledge in algorithms, scientific computing, and machine learning or statistics, + Familiar with C/C++, Java, Perl, python, and the Unix (Linux) environment. + Experiences in manipulating, analyzing, and annotating very large genomic (e.g. NGS) data sets both in exploratory and pipelined fashions. + Ability to apply knowledge of information software and/or hardware to provide solutions and/or support. + Ability to apply advanced knowledge of science/learning/specialized intellectual instruction to analyze, interpret or make deductions from varying facts or circumstances. + Record of significant contribution to peer-reviewed publications. + Excellent communication and presentation skills. **Working Title:** Research Bioinformatician II - Dr. Casero Lab - Multi-omics **Department:** Home Dept - Gastroenterology **Business Entity:** Academic / Research **Job Category:** ,Academic/Research,Academic/Research **Job Specialty:** Bioinformatics **Position Type:** Full-time **Shift Length:** 8 hour shift **Shift Type:** Day EOE including Disability/Protected Veterans. 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