The Applied Genomics, Computation & Translational Core is looking for a Research Bioinformatician IIto join the team!

The Cedars-Sinai Applied Genomics, Computation, and Translational Core (AGCT Core) is a fully equipped, state-of-the-art genomics facility offering data generation and interpretation for basic science and translational research in next-generation sequencing technologies, including single-cell omics, spatial transcriptomics, and bulk cell omics. We specialize in single-cell omics and spatial transcriptomics via the 10x Genomics, Parse Biosciences, Mission Bio, and NanoString platforms. Our R&D team offers sample preparation for single-cell assays, such as nuclei isolation from frozen tissue or single-cell isolation from fresh tissue dissociation. The AGCT Core also offers comprehensive services for standard bulk cell sequencing in genomics, transcriptomics, epigenomics, and metagenomics. To learn more please visit Applied Genomics, Computation & Translational Core | Cedars-Sinai.

Are you ready to be a part of breakthrough research?

The Research Bioinformatician II performs general bioinformatics analysis and software support for projects involving omics and interacts with investigators to identify research problems, find appropriate software tools, and recognize national biological databases and online resources for omic data. The RBII manages 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 RBII assists in the development, testing, and maintenance of modular software pipelines, and provides bioinformatics data analysis, preliminary interpretation of the data, and reports of the results for possible publications. The Research Bioinformatician II also works with bioinformatics faculties to determine future bioinformatics needs and helps to develop tools and pipelines as necessary to keep pace with rapid advances in sequencing technology. The Bioinformatician II demonstrates continuous self-improvement, makes effective contributions to the section, and adheres to the Cedars-Sinai compliance plan, code of conduct, and hospital and departmental policies and procedures.

Primary Duties and Responsibilities:

• Provides 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.
• Summarizes data analysis results in the form suitable as the basis for the first draft of written reports, and makes preliminary interpretations of the data.
• Develops, tests, and maintains modular software pipelines for genome sequencing, assembly, annotation, metagenomic analysis, and genotyping using high-throughput sequencing platforms including 454, 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.
• Provides solutions for investigator’s problems through data mining and extraction.
• Identifies, evaluates, and incorporates relevant algorithms and software pipelines by reviewing pertinent literature in bioinformatics and computational biology.
• Assists and/or collaborates in the preparation of grant proposals, publications, and presentations involving omic data.
• Educates others about bioinformatics through mentoring and teaching colleagues, investigators, fellows, and graduate students.

Education:

• Bachelor of Science Degree in Computer Science, Electric Engineering, Computational Biology, or Bioinformatics, or Master of Science/ Engineering in relevant fields (e.g. Biology with strong quantitative training, biostatistics with concentration in bioinformatics). Master's degree is preferred.

Experience & Skills:

• Three (3) years of experience in a research environment including developing solid understanding in algorithms, scientific computing, and machine learning or statistics.
• Three (3) years of experience in manipulating, analyzing, and annotating very large genomic (e.g. NGS) data sets both in exploratory and pipelined fashions.
• Ability to apply knowledge of information software and/or hardware to provide solutions and/or support.
• Familiar with C/C++, Java, Perl, Python, and the Unix (Linux) environment.
• Ability to apply sophisticated knowledge of science/learning/specialized intellectual instruction to analyze, interpret, or make deductions from varying facts or circumstances.
• Familiar with medical and biological terminologies, bioinformatics resources, and national biological databases.