EDUCATIONAL & EXPERIENCE REQUIREMENTS:

• BS Degree in Computer Science, Electric Engineering, Computational biology, or Bioinformatics required. MS Degree in Engineering in relevant fields (e.g. Biology with strong quantitative training, biostatistics with concentration in bioinformatics) preferred. PhD Degree strongly preferred.
• Seven (7) years in research environment developing working knowledge in algorithms, scientific computing, and machine learning or statistics required
• Seven (7) years of experience in manipulating, analyzing, and annotating very large genomic (e.g. NGS) data sets both in exploratory and pipelined fashions required

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.

• Provide general bioinformatics analysis support for omic projects. Responsible for data analysis and software compilations including next generation sequence alignment, polymorphism identification, expression analysis, and visualization tools and browsers.
• Summarize 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 perform 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.
• Manage data including loading and querying data from database systems, downloading omic data from public repositories, and transforming data to the necessary formats.
• Provide solutions for investigator’s problems through data mining and extraction.
• Provide bioinformatics expertise in the design of experiments and studies, including research proposal development, sample size determination, and plans for interim reviews and final analysis.
• Interact with and supports other bioinformatics colleagues in pursuing excellence in research and education, including the generation of new ideas and concepts, and their dissemination.
• Educate others about bioinformatics and computational biology through mentoring of and teaching colleagues, investigators, fellows, and graduate students. May organize and teach formal bioinformatics courses, inter-disciplinary courses, continuing education courses, and seminars.