Senior Computational Biologist

Added: 11/29/2021

REF: 16085

Contract: Permanent

Location: Cambridge, Massachusetts, United States

Responsibilities

  • Design, implement, and test computational pipelines for high-throughput multi-omics data
  • Develop and implement creative computational biology and bioinformatics methods/algorithms for analyses of complex datasets
  • Implement machine learning approaches to mine omics and patient data to identify clinical biomarkers of disease
  • Develop new predictive tools to be used across the organization, from data scientists to bench biologists and executive team
  • Identify and curate relevant large-scale public datasets
  • Participate in project teams and contribute to experimental design and data analysis, interpretation and communication of results

 

Requirements

  • PhD in Computational Biology, Bioinformatics, Statistics, Mathematics, Computer Science or a related field with 2+ years’ work experience or MS with 5+ years relevant work experience
  • Extensive experience in computational pipelines for analysis of complex omics datasets, such as single-cell RNA-Seq, ATAC-Seq, etc
  • Familiar with current tools for multi-omics data analyses
  • Experience in computational biology or bioinformatics is a must
  • Hands-on development of interactive tools for a non-technical audience (R Shiny, python)
  • Experience with network biology approaches a plus
  • Excellent programming skills in R/Python and/or MATLAB
  • Expertise with good practices for reproducible research (Github, Rmarkdown, jupyter notebooks)
  • Familiar with cloud computing (AWS)
  • Excellent written and oral communication skills
  • Prior experience in biotech/pharma industry in drug discovery
  • Experience in integrative analysis of multi-dimensional omics data

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