Research Bioinformatician II or III
– Smidt Heart Institute
– Van Eyk Lab.
Our Advanced Clinical Biosystems Research Institute (ACBRI) is seeking a Research Bioinformatician II or III, depending on level of experience, who will create software tools and assist with multiple ongoing data analyses, including data processing, visualization, and interpretation of results.
You must be able to use existing tools and have proficiency in programming, implementing software tools and system-administration tasks.
Will create and manage a variety of complex biomedical research projects, starting from raw data to biological hypothesis generation/verification.
Will perform general bioinformatics analysis and software support for projects involving in omics, and interact with investigators to identify research problems, find appropriate software tools, and recognize national biological databases and online resources for omic data..
The novel omics workflows being developed as part of the ongoing proteomics initiatives have fundamentally different analytical and visualization requirements.
The incumbent will be responsible for creating new software to perform those operations.
You will 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 bioinformatics data analysis, preliminary interpretation of the data, and reports of the results for possible publications.
Will also work 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 and will demonstrate continuous self-improvement, make effective contributions to the section, and adhere to CSHS 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:.
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 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..
Familiar with medical and biological terminologies, bioinformatics resources, and national biological databases, 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 involving omic data..
Helps develop tools and pipelines as necessary to keep pace with rapid advances in sequencing technology..
Educate others about bioinformatics through mentoring of and teaching colleagues, investigators, fellows, and graduate students..
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Educational Requirements:.
Master 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) is required.
Experience:.
Minimum of three (3) years in research environment..
Background and work knowledge in algorithms, scientific computing, and machine learning or statistics, Familiar with C/C++, Java, Perl, python, and the Unix (Linux) environment..
Experiences in manipulating, analyzing, and annotating very large genomic (e.g.
NGS) data sets both in exploratory and pipelined fashions..
Strong Background in software development and bioinformatics data analysis concepts..
Experience in software and programming required (Python, R, Linux/Unix, MySQL)..
Experience with AWS and High Performance (HPC) systems will be a plus..
Experience in performing statistical data analysis & complex data visualization is a plus..
Strong Background in software development and bioinformatics data analysis concepts..
Direct Experience in the rapid prototyping, software development and database systems..
Demonstrated ability to come up with creative solutions to difficult problems..
Demonstrated ability to integrate disparate components, technologies, and subsystems into a solution..
Strong analytical and problem-solving skills, self-motivated, organized and independent..
Team-player, interested in working in a fast-paced and highly collaborative environment with biologists, research scientists, and clinicians..
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