The Cedars -Sinai F. Widjaja Foundation Inflammatory Bowel and Immunobiology Research Institute (IBIRI) is searching for a highly motivated Research Bioinformatician I to be a part of an exciting opportunity within Dr. Dermot McGovern's research laboratory! IBIRI is a multidisciplinary basic, translational and clinical research program devoted to Inflammatory Bowel Diseases. To learn more about the lab under Dr. Dermot McGovern, please visit: McGovern Research Lab | Cedars-Sinai.
Are you apassionate and dedicated research professional?
The Bioinformatician I in the McGovern Lab will perform 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 and testing for genome sequencing, assembly, annotation, metagenomic analysis, and genotyping using high-throughput sequencing platforms including 454, Illumina, and Pacific Biosciences
Helps to identify, evaluate, and incorporate relevant algorithms and software pipelines by reviewing pertinent literatures in bioinformatics and computational biology
Develop custom analytics and data management applications and tools to facilitate large-scale genomic and image data analysis; develops deep learning models for image classification and segmentation, develops machine learning methods to produce predictive models and quantitative imaging data analysis.
Develop tools to integrate commonly used open-source bioinformatics software applications
Work with PI and research team to develop standardized API's and data schemas, as well as implementations compatible with such API's to ensure interoperability with existing ecosystem at institution
Participate in the establishment of best practices and standards for omics data representation and analysis.
Bachelor's Degree in Computer Science, Electric Engineering, Biomedical Engineering, Computational Pathology, Computational Biology, or Bioinformatics, or relevant fields (e.g. Biology with strong quantitative training, biostatistics with concentration in bioinformatics), required. Master's Degree preferred.
Experience and Skillset:
0 - 3 years in a research environment
Background and working knowledge in algorithms, scientific computing, and machine learning or statistics.
Working knowledge with C/C++, Java, Perl, Python, Matlab, and the Unix (Linux) environment.
Proficient in database management, high performance computing, and the analysis of high throughput data.
Providing healthcare for more than 100 years, Cedars-Sinai has evolved into one of the most dynamic and highly renowned medical centers in the world. Along with caring for patients, Cedars-Sinai is a hub for biomedical research and a training center for future physicians and other healthcare professionals. This attracts exceptional talent to Cedars-Sinai, including world-renowned physician-scientists who seek a place where they can both conduct research and see patients--the ideal formula for discovery and its translation into cures. Our patients benefit from access to doctors at the top of their fields, and our researchers have an ideal community in which to study the impact of healthcare challenges, and reflect that knowledge in their research. The greater Los Angeles area in which Cedars-Sinai resides possesses unparalleled cultural and ethnic diversity which offers outstanding opportunities for translational and clinical research and a dynamic environment for medical education.Although community based, Cedars-Sinai is a major t...eaching hospital affiliated with the David Geffen School of Medicine at the University of California, Los Angeles (UCLA). Cedars-Sinai has highly competitive graduate medical education programs in more than 50 specialty and subspecialty areas, a graduate program in biomedical sciences and translational medicine, a clinical scholars program directed towards junior physicians with aspirations to become clinical scientists, and post graduate training opportunities.There are more than 250 full-time faculty members at Cedars-Sinai. The voluntary medical staff, comprised of more than 2,200 specialty board-certified or board-qualified physicians, represent all of the specialties and subspecialties and collaborate with full-time medical staff in the teaching responsibilities of the graduate medical education programs.