**Are you passionate about applying genomics, computer science, and probability theory to study cancer progression?** The Knott laboratory is searching for computational scientists to develop and apply machine learning tools to study next generation single cell datasets. The Knott lab is located in the Center for Bioinformatics and Functional Genomics at Cedars-Sinai Medical Center, in Los Angeles, California. The lab focuses on understanding the molecular mechanisms of disease using a combination of genomics, computational biology and functional studies in animal models. Our major focus areas are breast biology and breast cancer, but we have other research projects in the areas of general hormonal regulation, bladder cancer and neural injury. The studies span the spectrum of disease stages, from the analysis of normal tissues through to tissues that capture disease initiation and finally the profiling of late stage pathologies. We study clinical samples with high-fidelity analysis tools and then test hypotheses generated from this work using the functional genetic tools we continue to develop. On the genomics side, we apply 10X genomics Single-Cell RNA and ATAC sequencing, as well as Visium Spatial profiling. We also apply and develop methods for analyzing Co-Detection by Indexing data, which provides high-dimensional single cell level information on intact tissues. The scientist will focus on developing algorithms for understanding the temporal dynamics of single cells in different biological systems as well as the dynamics of the relationships each cell type has with other constituents of the tissue. To learn more, please visit Knott Research Lab | Cedars-Sinai 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. **Primary Job Duties & Responsibilities:** + Provides general bioinformatics analysis support for omic projects and mainly 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. + 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 literatures in bioinformatics and computational biology. **Education:** + Bachelor's Degree in Computer Science, Computational Biology, or Bioinformatics, required. + Master of Science/Engineering in Computer Science, Bioinformatics, Statistics orrelevant fields (e.g. Biology with strong quantitative training, biostatistics with concentration in bioinformatics) preferred. **Experience and Skills:** + 0 - 3 years in a research environment. + Background and work knowledge in algorithms, scientific computing, and machine learning or statistics. Strong background in R or Python. + Working understanding of cell biology. + Proficient in database management, high performance computing, and the analysis of high throughput data. + Familiar with Unix (Linux) environment, HPC systems, software documentation, query databases, dashboarding. + Experience in manipulating, analyzing, and annotating very large genomic (e.g. NGS) data sets, both in exploratory and pipelined fashions will be a plus. **Working Title:** Research Bioinformatician I - Knott Lab - Center for Bioinformatics and Functional Genomics **Department:** BMS - Bioinfo & Func Genomics **Business Entity:** Academic / Research **Job Category:** ,Academic/Research,Academic/Research **Job Specialty:** Bioinformatics **Position Type:** Full-time **Shift Length:** 8 hour shift **Shift Type:** Day EOE including Disability/Protected Veterans. 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