Research Bioinformatician I
2 weeks ago
Data is vital to advance clinical knowledge across a spectrum of medical and surgical fields. Are you ready to transform data discoveries into valuable information, which will empower tomorrow's medicine? We invite you to consider and apply to this great opportunity today
The Kao Autoimmunity Institute is committed to translational and clinical research that will advance the treatment of rheumatology diseases. The Kao Autoimmunity Institute is dedicated to the comprehensive care of patients with rheumatic diseases, along with a distinct focus on clinical research, outreach, training and education.
The Research Bioinformatician I will perform general bioinformatics analysis and software support for projects involving in omics. The RB I member will manage omic data including loading and querying data from database system(s) and public repositories, and transforms and merges multilevel omic data into user-friendly formats. The incumbent assists in development, testing, and maintenance of modular software pipelines, provides daily bioinformatics data analysis, preliminary interpretation of the data, and reports of the results for possible publications.
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Primary Job Duties and Responsibilities:
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 with assembly, annotation, meta-genomic analysis, and genotyping using high-throughput sequencing platforms including 454, Illumina, and Pacific Biosciences.Manages and redefines 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.
Qualifications
Education Requirements:
Bachelor’s Degree in Computer Science, Electrical Engineering, Computational Biology, or Bioinformatics, or relevant fields (e.g. Biology with strong quantitative training, Biostatistics with concentration in Bioinformatics) is required.
Experience:
Experience in a research environment is highly preferred.Background and work knowledge in algorithms, scientific computing, and machine learning or statistics is preferred.Proficiency with C/C++, Java, Perl, python, and the Unix (Linux) environment is a plus.Experience in manipulating, analyzing, and annotating very large genomic (e.g. NGS) data sets, both in exploratory and pipelined fashions.
About Us
Cedars-Sinai is a leader in providing high-quality healthcare encompassing primary care, specialized medicine and research. Since 1902, Cedars-Sinai has evolved to meet the needs of one of the most diverse regions in the nation, setting standards in quality and innovative patient care, research, teaching and community service. Today, Cedars- Sinai is known for its national leadership in transforming healthcare for the benefit of patients. Cedars-Sinai impacts the future of healthcare by developing new approaches to treatment and educating tomorrow's health professionals. Additionally, Cedars-Sinai demonstrates a commitment to the community through programs that improve the health of its most vulnerable residents.
About the Team
Cedars-Sinai is one of the largest nonprofit academic medical centers in the U.S., with 886 licensed beds, 2,100 physicians, 2,800 nurses and thousands of other healthcare professionals and staff. Choose this if you want to work in a fast-paced environment that offers the highest level of care to people in the Los Angeles that need our care the most.
Req ID : 2127
Working Title : Research Bioinformatician I - Kao Autoimmunity Institute (Per Diem; On-Site)
Department : Research - Rheumatology
Business Entity : Cedars-Sinai Medical Center
Job Category : Academic / Research
Job Specialty : Bioinformatics
Overtime Status : NONEXEMPT
Primary Shift : Day
Shift Duration : 8 hour
Base Pay : $34.24 - $58.21
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