Scientist I/II, Computational Biology and Bioinformatics

Rheos Medicines

Cambridge, MA, US
  • Job Type: Full-Time
  • Function: Life Sciences R&D/Engineering
  • Post Date: 02/14/2021
  • Website:
  • Company Address: 38 Sidney St, Cambridge, MA, 02139

About Rheos Medicines

Rheos Medicines is a biopharmaceutical company harnessing insights in immunometabolism to develop a novel class of medicines with potential to transform the lives of patients with immune mediated diseases. We are rapidly applying a first-in-field approach in immunometabolism with a comprehensive, systems-biology understanding of the metabolic pathways that drive immune cell function and fate coupled to a biomarker discovery effort with potential to bring precision to the treatment of immune-mediated diseases.

Job Description

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


  • 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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Disclaimer: Local Candidates Only
This company does NOT accept candidates from outside recruiting firms. Agency contacts are not welcome.