The Novartis Institutes for BioMedical Research (NIBR) is the innovation engine of Novartis. We collaborate across scientific and organizational boundaries, with a focus on powerful new technologies that have the potential to help produce therapeutic breakthroughs for patients.
An exciting opportunity is available to do research at the interface between Computer-Aided Drug Discovery (CADD), Cheminformatics and Research Informatics. Among our groups, we help project teams to use the right data at the right time to take the best decisions to optimize small molecule compounds against multiple objectives. Our cross-departmental structure of experts from different fields is set up to find novel methods to automatically extract, analyze, and understand those decisions from historical data. Leveraging on recent advances in the fields of machine learning and behavioral analysis the derivation of those decision patterns taking into account biological (assay data) as well as chemical (reactions, building blocks) information has become a true possibility. For this, we seek an enthusiastic postdoctoral Researcher with a focus in statistics, computational or data science and preferably Knowledge in cheinformatics (https://www.novartis.com/our-science/postdoc-program/research-themes/chemistry/nikolaus-stiefl-phd)
The successful candidate will join a vibrant scientific community and collaborate with other postdoctoral fellows mentored by a range of scientists across disciplines and platforms, including chemistry, structural biology, molecular biology, functional genomics, neurophysiology and translational medicine. Postdoctoral scholars at NIBR have a unique opportunity to conduct innovative, interdisciplinary research and are expected to publish their results in leading journals. The postdoctoral term is up to 4 years.
#PDX
PhD in natural or technical sciences with a focus on computational and/or statistical approaches. Chemistry knowledge is a strong plus (PhD students in the last year of their thesis work, are also eligible to apply). - Additional qualifications o Hands-on experience with general machine learning libraries o Programming skills (software development experience is a plus) - Strong publication record - Excellent analytical, communication and organizational skills - Candidates must be able to work independently as well as with interdisciplinary teams
Please submit your cover letter and CV, including the contact information (name, institution, phone number, and e-mail address) of 3 references.
For more information about our postdoctoral program, please visit https://www.novartis.com/our-science/postdoc-program
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