Under close supervision, the Research Bioinformatician I for the Gayther Lab will perform general bioinformatics analysis and software support for projects involving in omics. The RBI 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 daily bioinformatics data analysis, preliminary interpretation of the data, and reports of the results for possible publications. In addition, the Research Bioinformatician I will be responsible for: 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. Assists in development, testing, and maintenance of modular software pipelines for genome sequencing, assembly, annotation, metagenomic analysis, and genotyping using high-throughput sequencing platforms including 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 Helps to identify, evaluate, and incorporate relevant algorithms and software pipelines by reviewing pertinent literatures in bioinformatics and computational biology To learn more about the Gayther Lab, please follow link: https://www.cedars-sinai.org/research/labs/gayther.html Educational Requirements: Bachelor of Science Degree in Computer Science, 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: 0-3 years in research environment. Background and work knowledge in algorithms, scientific computing, and machine learning or statistics. Strong background in R or Python. Familiar with Unix (Linux) environment, HPC systems, software documentation, query databases, dashboarding. Experiences in manipulating, analyzing, and annotating very large genomic (e.g. NGS) data sets, both in exploratory and pipelined fashions, will be a plus. Working Title: Research Bioinformatician I - Gayther Lab Department: BMS - Bioinfo & Func Genomics Business Entity: Academic / Research City: Los Angeles Job Category: Academic/Research Job Specialty: Bioinformatics Position Type: Full-time Shift Length: 8 hour shift Shift Type: Full-time
