About the job
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. 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.
Responsibilities
Technology development, aligned with FL129’s core strategic goals.
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 platform excellence.
Close collaboration with wet lab scientific team to drive achievement of key project goals.
Translate experimental data into meaningful insights and present results at team meetings.
Qualifications
Minimum
Ph.D. in machine learning, computational biology, or a similar field with 5+ years of industry or postdoctoral experience.
Expertise with a high-level programming language such as Python and modern HPC and cloud compute workflows.
Preferred
Familiarity with SOTA models such as Boltz-2, ESM-2, Chai-2 and related.
Experience training and fine-tuning molecular models for tasks such as: protein language modeling, protein structure prediction, binder prediction, protein design, protein engineering, small molecule pose prediction, and related.
Experience curating publicly available datasets, including mutational scanning data.
Deep structural understanding of proteins.
Additional experience with computational docking methods is preferred.