JOB SUMMARY: Under close supervision, the Research Bioinformatician I performs 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. ESSENTIAL JOB DUTIES AND RESPONSIBILITIES: * Manage 'omic data including loading and querying data from database system and public repositories and transform and merge multi-level '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. * Manipulate large datasets from whole genome type scans, perform tests to determine biological significance, and visualize biologically meaningful data. * Utilize a variety of basic analysis tools to determine things like genetic linkage, gene expression profiles, and molecular classifiers from data generated from microarrays, qPCR data, and Next Gen Sequencing.
* Assist in specific advanced collaborations with the Core Directors collaborative lead research as well as help to translate developmental pipelines for filtering and analyzing these large datasets.
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. * 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.
Education: Master of Science Degree in Computational biology, or Bioinformatics, Biostatistics, Statistics or Master of Science/ Engineering in relevant fields (e.g. Biology with strong quantitative training). PhD preferred.
Working Title: Research Bioinformatician I - Applied Genomics
Providing healthcare for more than 100 years, Cedars-Sinai has evolved into one of the most dynamic and highly renowned medical centers in the world. Along with caring for patients, Cedars-Sinai is a hub for biomedical research and a training center for future physicians and other healthcare professionals. This attracts exceptional talent to Cedars-Sinai, including world-renowned physician-scientists who seek a place where they can both conduct research and see patients--the ideal formula for discovery and its translation into cures. Our patients benefit from access to doctors at the top of their fields, and our researchers have an ideal community in which to study the impact of healthcare challenges, and reflect that knowledge in their research. The greater Los Angeles area in which Cedars-Sinai resides possesses unparalleled cultural and ethnic diversity which offers outstanding opportunities for translational and clinical research and a dynamic environment for medical education.Although community based, Cedars-Sinai is a major t...eaching hospital affiliated with the David Geffen School of Medicine at the University of California, Los Angeles (UCLA). Cedars-Sinai has highly competitive graduate medical education programs in more than 50 specialty and subspecialty areas, a graduate program in biomedical sciences and translational medicine, a clinical scholars program directed towards junior physicians with aspirations to become clinical scientists, and post graduate training opportunities.There are more than 250 full-time faculty members at Cedars-Sinai. The voluntary medical staff, comprised of more than 2,200 specialty board-certified or board-qualified physicians, represent all of the specialties and subspecialties and collaborate with full-time medical staff in the teaching responsibilities of the graduate medical education programs.