Scientist I/II, Computational Biology and Bioinformatics
Organisation Name: Rheos Medicines
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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