Research Bioinformatician III - Applied Genomics, Computation & Translational Core
Organisation Name: Cedars-Sinai
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The Genomics Core is focused on gathering genome, transcriptome, epigenome and metagenome information for investigators. Our mission is to make these complex technologies accessible and biologically interpretable for clinical and basic research scientists. The Genomics Core enables investigators with little experience in sample preparation, quality control or analysis to interrogate the genome. To facilitate this, we have developed general but complete wet-lab and bioinformatics analysis pipelines to accommodate standard needs and enable most genomewide investigations. For more sophisticated or custom designs, we work actively in collaboration with other Cedars-Sinai cores and resources to facilitate investigations. To learn more about the Genomics Core please visit: https://www.cedars-sinai.org/research/cores/genomics.html The Research Bioinformatician III (RBIII) works independently but in close cooperation and consultation with Research Scientists, PI, Research Nurses, and Research Coordinators. The Research Bioinformatician III will interact with investigators to understand scientific questions, define the scope of work and propose an analytical plan with a time estimate for its completion. The RBIII will work independently and 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. The Bioinformatician III will also identify, evaluate, and incorporate relevant algorithms and software by reviewing pertinent literatures and develop and maintain software based on current projects and in anticipation of long-term needs. In addition the RBIII will also be responsible for the following: 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. Be proficient and maintain proficiency 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 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 In a consultation setting, interact with investigators to understand scientific questions. Define the scope of work and propose an analytical plan with a time estimate for its completion. Identify, evaluate, and incorporate relevant algorithms and software pipelines by reviewing pertinent literatures in bioinformatics and computational biology Provide bioinformatics expertise in the design of experiments and studies, including research proposal development, sample size determination, and plans for interim reviews and final analysis Develop tools and pipelines as necessary to keep pace with rapid advances in sequencing technology. Interact with and support other bioinformatics colleagues in pursuing excellence in Research and Education, that is, the generation of new ideas and concepts, and their dissemination. Educate others about bioinformatics and computational biology through mentoring of and teaching colleagues, investigators, fellows, and graduate students. Be capable of organizing and teaching formal bioinformatics courses, inter-disciplinary courses, continuing education courses, and seminars. Education: 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) Minimum Experience: >7 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. Excellent written/oral communication skills Working Title: Research Bioinformatician III - Applied Genomics, Computation & Translational Core Department: Cancer Inst Shared Services Business Entity: Service Lines & Ops City: Los Angeles Job Category: Academic/Research Job Specialty: Bioinformatics Position Type: Full-time Shift Length: 8 hour shift Shift Type: Day
