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About the role
We are seeking a Principal Scientist (Embedded ML/Computational) to lead AI/ML and computational projects that accelerate pharmaceutical R&D across the preclinical, translational, and clinical continuum, working closely with Pioneering Medicines (PM) and across Flagship’s platform companies as part of the company origination process.
What they're looking for
- Experience driving results directly or indirectly through teams of engineers/scientists in dynamic, fastpaced, entrepreneurial, and technical environments
- Clear evidence of sustained independent thought and creativity driving high impact, cross disciplinary AI/ML projects
- Successful track record of leadership and contribution to decision making on progression of AI/ML models within projects or programs
- Depth across multiple core tools and concepts, including Python, modern ML frameworks (PyTorch or JAX/TensorFlow), version control, databases, deep learning architectures, and relevant informatics software
- Consistent record of outstanding performance reflected in publications, patents, or high impact internal reports where applicable
More about this role
ABOUT PIONEERING INTELLIGENCE
Pioneering Intelligence builds on Flagship Pioneering’s legacy of founding cutting-edge science and computational ventures, harnessing recent advances in AI, machine learning, and data to accelerate fundamental research and create a portfolio of AI-first companies. As part of Flagship’s integrated model of science, entrepreneurship, and capital, it transforms breakthrough ideas into world-changing companies, elevating the AI advances happening across the ecosystem in human health, sustainability, and
beyond.
THE ROLE
We are seeking a Principal Scientist (Embedded ML/Computational) to lead AI/ML and computational projects that accelerate pharmaceutical R&D across the preclinical, translational, and clinical continuum, working closely with Pioneering Medicines (PM) and across Flagship’s platform companies as part of the company origination process. You will define and deliver pragmatic AI strategies and oversee method and platform development across omics, biomolecule design, multi-o, systems biology, and scientific literature mining, ensuring rigor in model development, benchmarking, scaling, and reporting. Throughout, you will use LLM-based agents and...
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