Research Bioinformatician II - Applied Genomics, Computation & Translational Core
Organisation Name: Cedars-Sinai
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The Genomics Core is focused on gathering genome, transcriptome, epigenome and metagenome information for investigators. Our mission is to make these complex technologies accessible and biologically interpretable for clinical and basic research scientists. The Genomics Core enables investigators with little experience in sample preparation, quality control or analysis to interrogate the genome. To facilitate this, we have developed general but complete wet-lab and bioinformatics analysis pipelines to accommodate standard needs and enable most genome wide investigations. For more sophisticated or custom designs, we work actively in collaboration with other Cedars-Sinai cores and resources to facilitate investigations. To learn more about the Genomics Core please visit: https://www.cedars-sinai.org/research/cores/genomics.html Research Bioinformatician 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. Research Bioinformatician II will also work with bioinformatics faculties to determine future bioinformatics needs, and helps to develop tools and pipelines as necessary to keep pace with rapid advances in sequencing technology. The Bioinformatician II will 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. He/she may serve as a preceptor for students. In addition the RBII will also be responsible for the following: 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 investigator’s 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. 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 Minimum Experience: 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. Working Title: Research Bioinformatician II - Applied Genomics, Computation & Translational Core Department: Cancer Inst Shared Services Business Entity: Service Lines & Ops City: Los Angeles Job Category: Academic/Research Job Specialty: Bioinformatics Position Type: Full-time Shift Length: 8 hour shift Shift Type: Day
