Staff Scientist - Microarray and Next-Generation Sequencing Data

Duarte, California
February 26 2019
Life Sciences
Position Type
Full Time
Organization Type
About City of Hope

City of Hope, an innovative biomedical research, treatment and educational institution with over 6000 employees, is dedicated to the prevention and cure of cancer and other life-threatening diseases and guided by a compassionate, patient-centered philosophy.

Founded in 1913 and headquartered in Duarte, California, City of Hope is a remarkable non-profit institution, where compassion and advanced care go hand-in-hand with excellence in clinical and scientific research. City of Hope is a National Cancer Institute designated Comprehensive Cancer Center and a founding member of the National Comprehensive Cancer Network, an alliance of the nation's leading cancer centers that develops and institutes standards of care for cancer treatment.

Position Summary:

A Staff Scientist position is available in Beckman Research Institute of City of Hope to perform analysis of large scale genomics data, specifically microarray and next-generation sequencing data. Develops analysis pipelines and applications for genomic data analysis and data mining.

The Staff Scientist series is designed for career research professionals whose primary function is to support the research infrastructure and activities of the institution. Staff Scientists will bring special skills, knowledge and experience to research programs or institutional core laboratories. Individuals appointed as staff scientists will receive a one-year fixed-term contract.

Key Responsibilities include:
  • Works on various research projects as assigned under supervision of the director.
  • Performs statistical and bioinformatics analyses of large scale genomic data, e.g. Illumina and PacBio.
  • Prepares summaries, presentations, manuscript sections and figures for the visualization and publication of complex data and results.
  • Evaluates existing methods and develops applications for genomic data analysis and data mining.
  • Establishes schedules and monitors status of projects on an ongoing basis.
  • Trains department personnel in the use of specialized and custom software packages and databases.
  • Provides recommendations for the growth and improvement of the computer hardware and software infrastructure of the department.
  • Enhances professional growth and development by reviewing current literature and by participation in educational programs, workshops, conferences, and inservice meetings.
  • Maintains department records, reports, and files as required.
  • Attends meetings, as required.
  • Performs special projects as assigned by management.

Basic education, experience and skills required for consideration:
  • Requiresa Ph.D. or other doctoral level degree.
  • 2+ years of relevant experience in applying statistical and computational methods to the analysis, modeling and visualization of complex genomics data.
  • Extensive knowledge of statistical analysis methods and models, mathematical and computational algorithm, such as machine learning algorithms.
  • Experience with genomic data integration and data mining.
  • Proficiency in R/Bioconductor programming.
  • Experience working with NGS data, such as Illumina Hiseq/miSeq and PacBio SMRT sequencing.
  • Familiar with Biological databases, such as GEO and TCGA.
  • Familiar with open source and commercial software tools for genomic data analysis, such as BWA, TOPHAT, STAR, CUFFLINKS, IGV, VARSCAN, GATK, ANNOVAR, IPA, etc.

Preferred education experience and skills:
  • Knowledge of molecular biology, preferred.
  • Experience with statistical, spreadsheet, graphics and word-processing software packages.
  • Familiar with at least one programming languages, such as R/Perl/Python/JAVA/C++ with R, preferred.

City of Hope is committed to creating a diverse environment and is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, religion, color, national

origin, sex, sexual orientation, gender identity, age, status as a protected veteran, or status as a qualified individual with disability.

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