Discovery Postdoctoral Fellow: Pharmacology and Data Science

1 purpose… to reimagine medicine! 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. <br><br>Discovery Fellows at NIBR have a unique opportunity to conduct innovative, interdisciplinary research and are expected to publish their results in leading journals.<br><br>Our Neuroscience and Modeling and Simulation teams in Cambridge, MA are looking for a motivated Discovery Fellow to take a multidisciplinary approach to address sex bias and its implications in neuroscience research from discovery to the clinic. The project will be multi-faceted and include computational analyses of existing preclinical and clinical datasets using statistical and/or machine learning methods, as well as generation and analysis of various datasets from -omics to behavioral using neuroscience in vivo disease models. <br><br>The Discovery Fellow will grow existing strengths and develop new expertise through close collaboration with experts from relevant areas such as translational modeling, data science, animal welfare and compliance, and in vivo pharmacology. This is a unique opportunity for the Discovery Fellow to bridge quantitative and experimental subject areas to generate novel and publishable insights, driving innovation in how we more fully integrate sex as a biological variable in the future of drug discovery and development.<br><br>The successful candidate will join a vibrant scientific community and collaborate with other postdoctoral fellows mentored by a range of scientists across subject areas and platforms. Fellows join our vibrant postdoctoral community for dedicated events, including the monthly postdoctoral seminars and our annual Research Day Symposium. All NIBR Fellows participate in our robust curriculum designed to develop scientific and professional skills. The postdoctoral term is up to 4 years.