Computational design of biological experiments for model development

Role: Data scientist/research scientist specializing in biological foundation models for AI-designed drugs, focusing on understanding model behavior, performance, and biological data integration. Responsibilities: develop biologically meaningful evaluations and benchmarks, conduct experiments to analyze model capabilities, identify data artifacts and biases, collaborate with biologists and AI researchers to prioritize research efforts, and communicate findings for guiding model and data strategy. Requirements: PhD in computational biology, statistics, physics, machine learning, or related; strong quantitative and statistical skills; experience analyzing high-throughput sequencing data; proficiency in Python; excellent communication skills; ability to collaborate across US and Europe with some travel. HighValue: focus on biological datasets (RNA-seq, genomics), generative foundation models, model evaluation, and interdisciplinary collaboration in AI and biology. WorkSetup: primarily in-office with some travel; flexible for team coordination across time zones.