Summary
BioMedical Research ( ) is the global pharmaceutical research organization of Novartis. With approximately 6,000 scientists and physicians around the world, our research is focused on discovering innovative new drugs that will change the practice of medicine. We have an open and entrepreneurial culture, encouraging collaboration to make effective therapies.
At, our mission is to discover innovative medicines that treat disease and human health. To do that, our scientists need cutting edge, state of the art computing systems.
With Research Informatics (RX), is making a strategic investment into informatics capabilities and is positioning itself to deliver the systems and services that are critical to the future of drug discovery.
The Scientific Data and Products (SDP) group in RX builds and applies excellence in product and data management to continuously improve the impact and value of software and data to Biomedical Research. We deliver intuitive, intentional, and integrated software solutions that create a frictionless user experience.
About the Role
Purpose of the role:
As Product Manager Drug Candidate Selection, you play a leading role in defining the future of our suite of software applications used by over 2,000 scientists in to search, analyze, and visualize project data to derive insights and drive high quality decisions in our drug candidate selection process both for classical small molecules as well as new therapeutic modalities.
Key Responsibilities
You combine your knowledge of informatics and chemistry/biology applied to drug discovery with your matrix leadership skills to manage and evolve a high impact product consisting of a portfolio of chemistry and new therapeutic modalities software applications. Together with a Product Operations Manager and an Engineering Lead, you will co lead a matrixed product team, ensuring the initiatives you lead contribute to an intentional, integrated, and capability based product architecture and continuously increase the value to drug discovery in .
* You provide scientific expertise to the product team, sharing a deep understanding of drug discovery data including how to integrate and visualize scientific data from multiple disparate sources (e.g. chemical structures, dose response, and structure activity relationships).
1. You collaboratively provide strategic context and focus to the teams, act as facilitator to prioritization, and cultivate good team based decision making practice to i