Scientist I/II, Computational Biology and Bioinformatics

Position Details

Date Posted:

December 24, 2020

Location:

Cambridge, MA

Description:

The Role

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

  • 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