Cedars-Sinai Research Bioinformatician I - Meyer Lab - Computational Biomedicine in Los Angeles, California
Data informs everyone’s unique health journey. Join us as we translate today's discoveries into tomorrow's medicine!
Cedars-Sinai is home to some of the most advanced biomedical research and training programs in the world, which attracts renowned physician-scientists seeking an unparalleled environment for fostering invention and teamwork.
The Meyer lab at Cedars-Sinai is seeking a Research Bioinformatician to work on projects related to proteomics, proteome informatics, mass spectrometry, metabolomics, multi-omic data integration, computational drug discovery and/or cheminformatics. We are open to hiring at multiple levels from BS to MS to postdoc. Candidates with skills in machine learning, statistics, web development, and/or projects and publications related to the above areas of interest will be given priority. We realize that most people will not have experience in all these areas so candidates with at least some experience with omics data should consider applying. We are also starting to work with single-cell proteomics data. The Meyer lab is NIH funded and growing quickly.
To learn more, please visit Jesse Meyer Research Group (jessemeyerlab.com)
Are you ready to be a part of breakthrough research?
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. The Research Bioinformatician I also performs research into new ways to do data analysis.
Primary Job Duties and Responsibilities:
Provides general bioinformatics analysis support for omic projects and is mainly 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.
Assists in the 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.
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 pieces of literature in bioinformatics and computational biology.
Leads and works on collaborative projects working closely with the PI, as well as writing papers and publishing findings.
- Bachelor's Degree in Computer Science, Computational Biology, or Bioinformatics is required. Master's Degree or Doctorate degree preferred.
Experience and Skills:
0 - 3 years in a research environment. Background and work knowledge in algorithms, scientific computing, and machine learning or statistics.
Familiar with C/C++, Java, Perl, Python, Matlab, 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 an advantage.
Cedars-Sinai is an EEO employer. Cedars-Sinai does not unlawfully discriminate on the basis of the race, religion, color, national origin, citizenship, ancestry, physical or mental disability, legally protected medical condition (cancer-related or genetic characteristics or any genetic information), marital status, sex, gender, sexual orientation, gender identity, gender expression, pregnancy, age (40 or older), military and/or veteran status or any other basis protected by federal or state law.