Senior Biostatistician (Bioinformatician/Computational Biologist)

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Research
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77880 Requisition #
Thanks for your interest in the Senior Biostatistician (Bioinformatician/Computational Biologist) position. Unfortunately this position has been closed but you can search our 797 open jobs by clicking here.
 REQUIRED:
  • Ph.D. in Bioinformatics, Computational Biology, Systems Biology, Biostatistics, or related field
  • Capable of functioning independently and collaboratively at an advanced level under the overall direction of the faculty lead
  • Experience with programming languages in computational biology and biostatistics such as R (preferred), Python, Perl, Matlab, etc., in Unix environments
  • Experience with low level data processing and cleaning for high-throughput data (e.g. QC, alignment, deduplication of NGS data)
  • Knowledge of experimental design for generating high-throughput data such as next generation sequencing data (RNA-seq, DNA-seq, exome-seq, ATAC-seq), and proteomic data (especially luminex assays and CyTOF)
  • Knowledge and experience of analysis of high-dimensional genomic/proteomic data such as next generation sequencing data (RNA-seq, DNA-seq, exome-seq, ATAC-seq), and proteomic data (e.g. luminex assays and CyTOF)
  • Background in machine learning, data mining, statistical learning methods applied to molecular data (such as random forests, sparse regression); particularly in the context of biomarker discovery
  • Outstanding oral and written communication skills with the ability to communicate technical information to all audiences

DESIRED:  
  • At least two years of experience collaborating with clinical and experimental scientists
  • Understanding of, and experience with, statistical analysis of clinical trial outcomes (in particular right-censored outcomes in the context of molecular predictors)
  • Experience supervising technical staff including training, mentoring and coaching
  • Experience developing grant proposals.  

Stanford is an equal opportunity employer and all qualified applicants will receive consideration without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status, or any other characteristic protected by law.

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