As a Research Bioinformatician II, you will join the research team at the Center for Cardiac Arrest Prevention directed by Dr.
Sumeet Chugh and located within the Cedars-Sinai Smidt Heart Institute.
The overall goal of this Center is to predict and prevent sudden cardiac arrest, a mostly lethal condition.
You will perform general bioinformatics analysis and provides software support for projects, and interacts with investigators to identify research problems and find appropriate software tools.
Will manage and analyze clinical data as well as omics data including loading and querying data from the Center’s database , and transform and merge multilevel data into user-friendly formats.
You will provide bioinformatics data analysis, preliminary interpretation of the data, and reports of the results for possible publications.
Work with bioinformatics faculties to determine future bioinformatics needs and help to develop tools and pipelines as necessary to keep pace with rapid advances in technology.
You will demonstrate continuous self-improvement, make effective contributions to the center, and adhere to the Cedars-Sinai Health System compliance plan, code of conduct, and hospital and departmental policies and procedures.
You may also serve as a preceptor for students.Essential job duties and responsibilities:Provides general bioinformatics analysis support for clinical data analysis as well as analysis of omics data.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.Develop, test, and maintain modular software pipelines for clinical data, genome sequencing results and proteomics analysis.Manages data including loading and querying data from database systems, and transforming data to the necessary formats.Familiar with medical and biological terminologies and bioinformatics resources.
Ready to provide solutions for investigator’s problems through data mining and extraction.Identify, evaluate, and incorporate relevant algorithms and software pipelines by reviewing pertinent literatures in bioinformatics and computational biology.Assists or collaborate in preparation of grant proposals, publications, and presentations.Educates others about bioinformatics through mentoring of and teaching colleagues, investigators, fellows, and graduate students.
Educational requirements:Master of Science Degree required, preferably 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)Experience:Three (3) years in research environment.
Background and working knowledge in algorithms, scientific computing, and machine learning or statistics.Familiar with C/C++, Java, Perl, python, 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.