Bioinformatics Scientist/Senior Bioinformatics Scientist | United States | Compugen

Position:	Bioinformatics Scientist/Senior Bioinformatics Scientist
Institution:	Compugen
Location:	United States
Duties:	Conduct end-to-end computational analyses of single cell and spatial transcriptomics data; Contribute to establishment and maintenance of single-cell and additional bioinformatics processing pipelines; Implement tools for cross-dataset and multi-omics data harmonization, integration, and visualization; Develop and implement innovative computational biology algorithms and data science approaches towards identification and in-silico validation of novel immuno-oncology targets and biomarkers; Advance analytics support for in-vitro and in-vivo validation of drug targets, mechanism-of-action (MOA) analysis, patients’ stratification and biomarkers discovery
Requirements:	Ph.D. or equivalent hands-on years of experience in Bioinformatics/Computational Biology & Data Sciences; Strong programming and data science skills (Python or R preferred); Hands-on experience in data analysis workflows of RNA-Seq and single-cell RNA-Seq; Ability to propose and carry out independently computational biology research projects; Demonstrated impact via the development of novel innovative algorithms/analyses and the adoption of available open source or licensed solutions

Text:	Bioinformatics Scientist/Senior Bioinformatics Scientist Conduct end-to-end computational analyses of single cell and spatial transcriptomics data; Contribute to establishment and maintenance of single-cell and additional bioinformatics processing pipelines; Implement tools for cross-dataset and multi-omics data harmonization, integration, and visualization; Develop and implement innovative computational biology algorithms and data science approaches towards identification and in-silico validation of novel immuno-oncology targets and biomarkers; Advance analytics support for in-vitro and in-vivo validation of drug targets, mechanism-of-action (MOA) analysis, patients’ stratification and biomarkers discovery Ph.D. or equivalent hands-on years of experience in Bioinformatics/Computational Biology & Data Sciences; Strong programming and data science skills (Python or R preferred); Hands-on experience in data analysis workflows of RNA-Seq and single-cell RNA-Seq; Ability to propose and carry out independently computational biology research projects; Demonstrated impact via the development of novel innovative algorithms/analyses and the adoption of available open source or licensed solutions