About the role
Why Faculty? We established Faculty in 2014 because we thought that AI would be the most important technology of our time. Since then, we’ve worked with over 350 global customers to transform their performance through human-centric AI. You can read about our real-world impact here . We don’t chase hype cycles. We innovate, build and deploy responsible AI which moves the needle - and we know a thing or two about doing it well. We bring an unparalleled depth of technical, product and delivery expertise to our clients who span government, finance, retail, energy, life sciences and defence. Our business, and reputation, is growing fast and we’re always on the lookout for individuals who share our intellectual curiosity and desire to build a positive legacy through technology. AI is an epoch-defining technology, join a company where you’ll be empowered to envision its most powerful applications, and to make them happen. About the Frontier team We are a small product team building a decision intelligence platform to transform how the world’s largest organisations achieve value from their data and machine learning assets by making better, faster decisions. We do this by working back from a priority set of KPIs and decisions, then codifying a business-critical process in software using our Computational Twin technology. Users simulate their decisions to evaluate trade-offs proactively. The majority of our product development focus is on improving decisions for drug development in clinical trials. AI has already made substantial gains in increasing the number of candidate molecules, but the bottleneck remains the development work to trial medicines in clinical studies. We are working to remove that bottleneck by transforming the decision making processes in clinical development. Some examples of where we already work with top-10 pharma: Portfolio management - how to best balance risk & opportunity across a portfolio of trials. Study planning and design - bridging clinical science and global operations to determine trial feasibility for timelines, cost and quality. Trial execution - tracking and re-forecasting trial timelines mid-flight with recommendations on downstream decisions such as resourcing and supplies.