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Are you passionate about applying genomics, computer science, and probability theory to study cancer progression?
The laboratories of Dr. Theodorescu and Dr. Knott are searching for a joint computational biologist to study bladder tumors to develop novel treatments. They are seeking someone that has a solid understanding of cell biology and cancer, and the emphasis is on computational proficiency matched with the ability to derive new hypotheses from large complex datasets.
Under close supervision, the Research Bioinformatician I will perform general bioinformatics analysis and software support for projects involving in omics. In this role you will work with omic data including loading and querying data from database systems/public repositories, and transform/merge multilevel omic data into user-friendly formats. Also assist in the development, test, and continuity of modular software pipelines by providing daily bioinformatics data analysis, preliminary interpretation of the data, and reporting of the results for possible publications.
Provides general bioinformatics analysis support for omic projects and 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 454, Illumina, and Pacific Biosciences
Helps to identify, evaluate, and incorporate relevant algorithms and software pipelines by reviewing pertinent literatures in bioinformatics and computational biology
Master of Science Degree required within Computer Science, Engineering, Computational biology, or Bioinformatics or relevant fields (e.g. Biology with strong quantitative training, biostatistics with concentration in bioinformatics).
3 years in a research environment
Background and working knowledge in algorithms, scientific computing, and machine learning or statistics
Knowledge of C/C++, Java, Perl, python, and the Unix (Linux) environment
Experience in manipulating, analyzing, and annotating very large genomic (e.g. NGS) data sets, both in exploratory and pipelined fashions, is a plus
Working Title: Research Bioinformatician I - Theodorescu/Knott Lab - Cancer Institute
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.