9 billion! At Novartis we invest 9 billion USD in research and development annually.
We are Novartis. Join us and help reimagine medicine!
Job Summary: This is an exciting opportunity to join Novartis Exploratory Immuno-Oncology. We are dedicated to discovering innovative cancer therapeutics and therapeutic formats that transform patients' lives. The successful candidate will become a key contributor and group leader in a dynamic, multidisciplinary discovery team interrogating novel immuno-oncology targets. The successful candidate will bring computational biology expertise, from target identification through early clinical development that increases our understanding of critical immune and non-immune networks following perturbation of key immune pathways. This position will be ideal for those candidates wishing to combine their interest in immunobiology of cancer with their strong desire to discover and help develop therapeutic approaches at the interface of computational biology and translational drug discovery.
This opportunity is located at the Novartis Cambridge site, and will not have the ability to be located remotely.
Your Key Responsibilities: * Work closely with stakeholders throughout the organization to identify opportunities for leveraging company data to drive project solutions, analyze and interpret high-dimensional biological data (e.g., bulk RNAseq, single-cell/CITE RNAseq, CRISPR screens, proteomics) to inform critical project decisions. * Develop and implement custom state-of-the-art computational methods and data mining strategies to apply to data sets to enhance understanding of key challenges in immuno oncology drug discovery. * Use predictive modeling to increase and optimize novel target biology and follow perturbation of immune pathways to deepen our understanding of drug resistance and help devise strategies to overcome them * Coordinate with different functional teams to implement predictive models and monitor outcomes * Develop processes and tools to monitor and analyze model performance and data accuracy. * Formulate testable biological hypotheses and collaborate in the design of rigorous preclinical experiments * Drive forward multi-disciplinary collaborations and projects, and establish them as needed