Scientist, Computational Biology and Bioinformatics at Rheos Medicines
Cambridge, MA, US

The Role:


Rheos Medicines is developing a platform for drug discovery and development in the novel area of immunometabolism. We are looking for a highly motivated, collaborative and innovative computational scientist who will work at the leading edge of bioinformatics, computational biology, immunology and systems biology. This individual will play a key role in building Rheos’ computational engine to drive target discovery through analysis and integration of multi-dimensional omics datasets.


Major Responsibilities


  • Implement and apply novel bioinformatics methods on complex omics datasets; e.g. single cell technologies, epigenomics
  • Build, update and maintain computational tools, pipelines and creative visualizations
  • Identify and curate relevant large-scale public dataset
  • Participate in project teams and contribute to experimental design and data analysis, interpretation and communication of results             






Requirements and Qualifications




  • PhD in Computational Biology, Bioinformatics or a related field with 2+ years’ work experience or MS with 5+ years relevant work experience. 


Required Experience:


  • Experience in analysis of single-cell technologies
  • Experience with network biology and algorithms a plus
  • Experience with open source bioinformatics tools and pipelines
  • Hands-on experience on with data visualization tools (R-Shiny, Spotfire, etc.) and multi-dimensional dataset visualization
  • Good publication record


Knowledge, Skills & Abilities:


  • Strong programming skills in R or Python
  • Familiar with good practices for reproducible research (Github, notebooks)
  • Familiar with high performance computing (preferably cloud computing)
  • Excellent written and oral communication skills.


Preferred Qualifications:


  • Prior experience in biotech/pharma industry drug discovery 
  • Experience in computational pipelines for analysis of complex omics datasets, such as single-cell RNA-Seq, ATAC-Seq, etc.
  • Experience in integrative analysis of multi-dimensional omics data 
  • Familiarity with Amazon Web Services (AWS) or similar cloud-computing platform