EPM Scientific
Machine Learning Research Scientist
EPM Scientific, San Francisco, California, United States, 94199
Overview
Vice President - AI/ML at EPM Scientific Machine Learning Research Scientist Our client is pioneering a new era in drug discovery by leveraging cutting-edge AI foundation models to design molecules. Backed by world-class investors and led by researchers with landmark contributions in AI-for-biology, this team is transforming how medicines are created. This is not a typical research role. You'll join a small, elite team at a pivotal stage, moving beyond protein structure prediction into real-world therapeutic engineering. On this team, you will directly shape next-generation AI models for antibody and drug design, validated at scale in wet-lab environments. Responsibilities
Design and implement novel AI architectures for molecular and protein modeling. Translate open-ended biological questions into tractable computational experiments. Analyze large-scale biological datasets, define meaningful metrics, and visualize results for diverse audiences. Collaborate closely with wet-lab scientists, software engineers, and product teams to iterate rapidly from concept to impact. You\'ll help push the boundaries of AI-driven drug discovery, creating models that could redefine therapeutic design globally. Qualifications
D. or equivalent experience in Machine Learning, Computational Biology, Bioinformatics, Computational Chemistry, or related fields. Publications or projects in top-tier ML or life-science venues (e.g., NeurIPS, ICML, Nature Methods). Strong Python skills and deep-learning frameworks (PyTorch, TensorFlow). Experience training and evaluating large models on protein, antibody, or small-molecule data-or transferable ML expertise. Ability to structure complex scientific questions into rigorous modeling workflows. Details
Base pay range: $180,000.00/yr - $260,000.00/yr Direct message the job poster from EPM Scientific Seniority level
Mid-Senior level Employment type
Full-time Job function
Science Industries
Pharmaceutical Manufacturing
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Vice President - AI/ML at EPM Scientific Machine Learning Research Scientist Our client is pioneering a new era in drug discovery by leveraging cutting-edge AI foundation models to design molecules. Backed by world-class investors and led by researchers with landmark contributions in AI-for-biology, this team is transforming how medicines are created. This is not a typical research role. You'll join a small, elite team at a pivotal stage, moving beyond protein structure prediction into real-world therapeutic engineering. On this team, you will directly shape next-generation AI models for antibody and drug design, validated at scale in wet-lab environments. Responsibilities
Design and implement novel AI architectures for molecular and protein modeling. Translate open-ended biological questions into tractable computational experiments. Analyze large-scale biological datasets, define meaningful metrics, and visualize results for diverse audiences. Collaborate closely with wet-lab scientists, software engineers, and product teams to iterate rapidly from concept to impact. You\'ll help push the boundaries of AI-driven drug discovery, creating models that could redefine therapeutic design globally. Qualifications
D. or equivalent experience in Machine Learning, Computational Biology, Bioinformatics, Computational Chemistry, or related fields. Publications or projects in top-tier ML or life-science venues (e.g., NeurIPS, ICML, Nature Methods). Strong Python skills and deep-learning frameworks (PyTorch, TensorFlow). Experience training and evaluating large models on protein, antibody, or small-molecule data-or transferable ML expertise. Ability to structure complex scientific questions into rigorous modeling workflows. Details
Base pay range: $180,000.00/yr - $260,000.00/yr Direct message the job poster from EPM Scientific Seniority level
Mid-Senior level Employment type
Full-time Job function
Science Industries
Pharmaceutical Manufacturing
#J-18808-Ljbffr