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Postdoctoral Fellowship: Bioprocess Analytics

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Framingham, MA

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We are looking for candidates for an exciting post doc position to join our Bioprocess analytics team. The ideal candidate will join a dynamic and PAT motivated team and will serve as a key subject matter expert supporting bioprocess process development, data analytics and statistics process control We are looking for candidates for an exciting post doc position to join our Bioprocess analytics team. The ideal candidate will join a dynamic and PAT motivated team and will serve as a key subject matter expert supporting bioprocess process development, data analytics and statistics process control activities using vibrational spectroscopic technologies. Major Job responsibilities: Invisible to visible spectral characterizations of CQAs using pattern recognition, artificial intelligence, machine learning and established pleiotropic network of biomolecules. Analyze large data sets which include real-time bioprocess data and offline analytical data sets. Characterizations and interpretations of cell cultureu2019s critical quality attributes (CQAs) and parameters using UV, Raman, FTIR, Imaging, florescence and FBRM spectroscopy.u00a0 Develop Chemometrics data analysis concepts and modeling in support of batch and continuous manufacturing. Develop a Chemometrics predictive modeling platform, exploratory data analysis, Chemometrics model development, validation and model maintenance. Basic Qualifications: PhD from an accredited university in Process Spectroscopy, Chemometrics, chemical engineering or process engineering Expertise in developing, interpreting, implementing and managing vibrational or other spectroscopic techniques such as FTIR, NIR, Raman, Imaging, florescence and FBRM or related techniques with a strong publication record Strong expertise on Chemometrics data modeling combined with invisible to visible modeling concept using Bioprocess data Expertise on machine learning, neural networks, clustering, pattern recognition, probability, supervised and unsupervised data modeling Outstanding experience on upstream, downstream bioprocess and cell culture data mining Expertise in analyzing mass spectrometric, chromatographic, thermal and genomic data analysis using machine learning and support vector machine Advance skills with R, C , and MATLAB/Simulink, and Neuron Must have US work authorization Preferred Qualifications: PAT implementations in continuous manufacturing environment is plus #GD-SA #LI-SA Sanofi Inc. and its U.S. affiliates are Equal Opportunity and Affirmative Action employers committed to a culturally diverse workforce. All qualified applicants will receive consideration for employment without regard to race; color; creed; religion; national origin; age; ancestry; nationality; marital, domestic partnership or civil union status; sex, gender, gender identity or expression; affectional or sexual orientation; disability; veteran or military status or liability for military status; domestic violence victim status; atypical cellular or blood trait; genetic information (including the refusal to submit to genetic testing) or any other characteristic protected by law. Sanofi is dedicated to supporting people through their health challenges. We are a global biopharmaceutical company focused on human health. We prevent illness with vaccines, provide innovative treatments to fight pain and ease suffering. We stand by the few who suffer from rare diseases and the millions with long-term chronic conditions. With more than 100,000 people in 100 countries, Sanofi is transforming scientific innovation into healthcare solutions around the globe. Sanofi, Empowering Life

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