Pioneering Medicines: Scientist / Sr. Scientist, Translational Sciences

About Pioneering Medicines: Pioneering Medicines, Flagship Pioneering’s in-house drug development unit, is dedicated to conceiving and developing a broad portfolio of life-changing treatments for patients built from Flagship’s innovative platforms. Harnessing the drug development expertise of its team together with the power of Flagship's multiple scientific platforms, Pioneering Medicines explores and identifies new product concepts which are then advanced jointly with Flagship’s bioplatform companies. Within Flagship’s Innovation Supply Chain partnerships, Pioneering Medicines works with external collaborators to apply its unique approach to partners’ R&D priorities. These partnerships are highly co-creative strategic alliances that accelerate therapeutic innovation by bringing together partners spanning the full spectrum of drug discovery, development, and production. Position Summary: Pioneering Medicines is seeking an innovative, motivated, and highly collaborative Scientist/Senior Scientist to join our Translational Sciences team. The position supports translational research and immunological activities aimed at bridging the gap between early research and clinical development. This role will be directly accountable on data delivery to support the deep characterization of novel and emerging drug candidates, and/or execution of biomarker assays to evaluate pharmacology of therapeutic molecules. The candidate will be supported by scientific leaders to develop experience and expertise in drug discovery and pharmacology. We are looking for adaptive and scientifically curious individuals who embrace our core values of putting people and patients first, in an environment that encourages growth and learning. This position is on-site in Cambridge, MA. Key Responsibilities: Deliver impactful datasets to inform the translational direction of drug discovery program(s) (e.g., pharmacodynamic biomarker discovery for disease/patient selection, inform human dose predictions,