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Multiomics Data Scientist

Technology

Data Scientist

No

Cambridge, Massachusetts, United States

6000! That’s the number of associates in the Novartis Institutes for BioMedical Research (NIBR). This division is the innovation engine of Novartis, focusing on powerful new technologies that have the potential to help produce therapeutic breakthroughs for patients. Analytical Sciences and Imaging (ASI), a platform group at NIBR, is a global team of ‘omics and imaging experts that advance technological innovation across the Institute by driving collaborations with project teams to enable new therapeutic platforms to deliver transformative medicines. <br><br>Our team has an exciting opportunity seeking a highly motivated data scientist to push ‘omics technologies in addressing key questions of novel therapeutic platforms and modalities, such as cell and gene therapy and targeted protein degradation ASI at NIBR. The successful candidate will have experience in innovative workflow development, biology data interpretation, and complex study design for key scientific questions, using proteomics and/or multiomics to be part of our team committed to support leading edge drug discovery efforts. You will work in a matrix team environment, at the interface of all disease areas and platform groups at NIBR, intersecting with experimental scientists and computational experts within ASI and NIBR. <br><br><br>Your responsibilities will include:<br>• Generating clear impact by distilling the complexity of available data into a biological interpretation, e.g. advancing identification of novel targets with proteomics data, plus genomics or metabolomics; target validation; or biomarkers in multiple therapeutic areas<br>• Developing and leading innovative proteomics and multiomics analysis workflows and pipelines and data/digital solutions to drive breakthrough science<br>• Championing our data citizen model to further empower wet lab scientists’ bioinformatics expertise development<br>• Leading strong collaborations across departments and domains to multiply impact and advocate the utility of our large data assets <br><br><br><br>[#video#https://www.youtube.com/watch?v=HUSA096Nn_E{#400,300#}#/video#]