Senior Research Scientist I, Bioinformatics

Job ID:
Job date: 2017-06-30
End Date:

Company : Gilead Sciences 

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Role : Research Scientist 


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Job Description:
We are seeking a highly talented and motivated bioinformatics scientist to take a lead role in statistical analysis of genomics and next generation sequencing data to support multiple therapeutic areas (e.g. oncology, fibrosis, inflammation, etc.) from target evaluation to biomarker discovery. The successful candidate will work in a fast-paced and highly collaborative environment and impact high-level decision making on internal pipeline. You will be responsible for developing and employing rigorous statistical modeling and bioinformatics methods, interpreting and integrating large scale datasets to enable research biology objectives

Essential Duties and Job Responsibilities:

  • Develop and implement, in collaboration with research and biomarker scientists, statistical analysis and quality control of microarray and next generation sequencing data (e.g. RNA-seq, exome-seq, CHIP-seq, whole genome sequencing, etc)
  • Apply and create statistical and computational tools for analysis of large genomic and pharmacogenomics data sets from publicly available, commercial, or proprietary genomic databases to enable target identification/assessment, understanding of MOA, disease subtypes, etc.
  • Design and apply bioinformatics algorithms, unsupervised and supervised methods, univariate and multivariate regression analyses, etc. to enable the discovery of predictive and prognostic biomarkers and biomarker signatures utilizing preclinical and clinical data
Knowledge, Experience and Skills:
  • A PhD in bioinformatics, computational biology, genomics, computer science, or a related field with 7+ industry experience
  • Prior working experience in a biopharmaceutical setting is preferred
  • Proficient in statistical and scripting programming language, such as R, Perl, Python, etc.
  • Hands on experience with linux systems and high performance parallel computing environment
  • Expertise in developing algorithms and applications for pattern recognition, machine learning, data mining and visualization of large scale genomic data (e.g. RNA-seq, DNA-seq, Chip-seq, microarrays, etc)
  • Hands-on experience analyzing, interpreting, and integrating large-scale biological datasets, such as genomics, transcriptomics, epigenetics, GWAS, proteomics, high throughput screening, etc.
  • In-depth understanding of genomic technologies, e.g. next generation sequencing technologies, and their applications
  • Demonstrated ability to collaborate with research scientists
  • Excellent oral/written communication skills


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Additional Info:
For Current Gilead Employees and Contractors: Please log onto your Internal Career Site to apply for this job.

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[Click Here to Access the Original Job Post]