Principal Scientist - Bioinformatics

Full Time
Remote
Posted
Job description
SUMMARY/JOB PURPOSE:
The Principal Bioinformatics and Data Scientist is a highly motivated bioinformatician and data scientist who has experience in analysis of NGS data and multi-omics data collected in clinical oncology trials to inform predictive and prognostic biomarkers.
ESSENTIAL DUTIES AND RESPONSIBILITIES:
  • Provide best-practices analysis of genomic data collected from clinical oncology trials. This includes QC and visualization and employing common NGS pipelines to analyze and process these data
  • Staying abreast with bioinformatics best-practices as well as cutting-edge data analysis methods from recent publications.
  • Support nonclinical and clinical translational data analysis and data management and serve as bioinformatics lead for clinical studies
  • Maintain internal data base of biomarker data (e.g., gene alterations, gene expression signatures, immunohistochemistry protein expression, soluble protein concentrations)
  • Present analysis results internally and externally in medical conferences and publish in high quality scientific and medical journals
SUPERVISORY RESPONSIBILITIES:
N/A
EDUCATION/EXPERIENCE/KNOWLEDGE & SKILLS:
Education:
  • PhD in the Bioinformatics discipline or related discipline and a minimum of five years of related experience; or,
  • Master’s in Bioinformatics or a related discipline and a minimum of nine years of related experience; or,
  • Bachelor’s in Bioinformatics or a related discipline and a minimum of eleven years of related experience; or,
  • Equivalent combination of education and experience
Experience/The Ideal Candidate will have:
  • Experience with analyzing DNA-seq and/or RNA-seq data including whole genome, whole exome, SNP-array, CNV detection, identifying gene expression signatures as part of clinical development of new oncology drugs
  • PhD preferred

Knowledge/Skills:
  • Deep understanding of next-generation sequencing data and bioinformatics algorithms.
  • Detect SNPs, deletions, insertions, CNVs, fusions, MSI, TMB
  • Current knowledge of latest software and design standards.
  • Knowledge of and ability to select, adapt, and effectively use a variety of programming methods.
  • Skilled in different programming languages (e.g., R, Matlab, Python)
  • Skilled in managing and analyzing large genomic datasets from preclinical and clinical studies as well as public genomic databases (e.g., TCGA, CCLE, dbGAP).
  • Ability to integrate data from multiple sources for comprehensive analyses
  • Can apply big data analysis tools and advanced data analysis techniques including different machine learning approaches
  • Ability to analyze and interpret biomarker data and correlate with oncology clinical trial outcomes
  • Work well in team setting
  • Excellent verbal and written communication skills
  • Highly motivated and can work independently

WORKING CONDITIONS:
  • Environment: office work from remote location
  • Travel involves quarterly visits to Exelixis sites and attending 1-2 conferences per year.

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If you like wild growth and working with happy, enthusiastic over-achievers, you'll enjoy your career with us!
DISCLAIMER
The preceding job description has been designed to indicate the general nature and level of work performed by employees within this classification. It is not designed to contain or be interpreted as a comprehensive inventory of all duties, responsibilities and qualifications required of employees assigned to the job.
We are an Equal Opportunity Employer and do not discriminate against any employee or applicant for employment because of race, color, sex, age, national origin, religion, sexual orientation, gender identity, status as a veteran, and basis of disability or any other federal, state or local protected class.

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