Senior Scientist, Machine Learning

What if… you could join an organization that creates, resources, and builds life sciences companies that invent breakthrough technologies in order to transform health care and sustainability? Flagship Labs 129 (FL129) is an early-stage biotechnology startup with an ambitious and exciting mission: to develop a technology to facilitate the data generation necessary for training the next generation of generative chemistry models to unlock the future of small molecule drug discovery. FL129 is developing a revolutionary approach to this challenge and is recruiting a team of top-tier scientists to build this powerful and first-in-category platform. This is a unique opportunity to be one of the first employees of a biotech startup that combines an innovative mindset with the resources and know-how of Flagship Pioneering. Position Summary: We are seeking a motivated and highly collaborative Senior Scientist to join FL129’s growing team of experimental and computational scientists to build a novel platform technology. The successful candidate will have strong track record of scientific and technical innovation in machine learning for molecular modeling (proteins and/ small molecule ligands). Additional experience with computational docking methods is preferred. The ideal teammate will be highly adaptable, have strong organizational and communication skills, and will thrive in a highly collaborative and multidisciplinary environment. Key Responsibilities: Technology development , aligned with FL129’s core strategic goals. This role is among the first hires, and we’re looking for someone who thinks critically and will influence the company’s scientific direction. Development, training, validation, and application of novel generative chemistry and molecular models Curate training and benchmark datasets, and design and implement rigorous benchmarks to assess model performance. Optimize existing workflows and establish best experimental and documentation practices to enable platf