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This role involves leading scientific and machine learning development for hydrology-aware climate modeling within an environmental platform. The scientist will work with large-scale climate datasets and Python-based ML frameworks to build reproducible, physically-informed prediction systems.
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…
Flagship Pioneering is a scientific innovation engine that invents and builds companies that change the world. We bring together the greatest scientific minds with entrepreneurial company builders and assemble the…
Position Summary What if... We could harness the power of Flagship’s scientific platforms and create novel treatment options that benefit more patients, sooner? Pioneering Medicines, an initiative of Flagship…
Position Summary: Quotient is seeking a Director or Senior Director of Antibody Discovery. This role will define and lead Quotient’s antibody discovery strategy; leading the delivery of therapeutic antibody projects in…
Builds and tests advanced mechanical/electronic systems for aerial and ground-based hardware, combining fabrication (CNC, 3D printing, composites) with systems assembly and troubleshooting in a fast-paced R&D environment.
Lead a team building multimodal AI systems that unify biological data and scientific expertise to power autonomous discovery engines for drug development and biological research.
The Machine Learning Scientist will build AI models and agentic workflows to analyze complex biological data, including genomics and single-cell datasets, to drive therapeutic discovery. The role involves developing deep learning systems and foundation models to map relationships between genotype, cell state, and disease mechanisms.
Flagship Pioneering is a bioplatform innovation company that invents and builds platform companies that change the world. We bring together the greatest scientific minds with entrepreneurial company builders and…
Research and build AI-powered tools that improve psychological wellbeing using large language models, reinforcement learning, and computational methods in a fast-moving startup environment.
Build and lead the full-stack of an AI-powered wellbeing platform, shipping customer-facing features while collaborating with ML researchers and product teams using Python, AWS, and modern DevOps practices.
Build and maintain automated lab workcells that run high-throughput biology experiments, integrating robotics, Python/C# scripts, and data systems to scale drug-discovery workflows.
Lead AI/ML and computational projects to accelerate pharmaceutical R&D, designing agentic workflows that integrate LLMs with omics, biomolecule design, and systems biology tools for end-to-end scientific pipelines.
Designs and fabricates MEMS-based sensors for a next-gen proteomics platform, specializing in micro/nanofabrication, cleanroom processes, and device integration with biological systems.
Develops AI-driven molecular models to advance drug discovery by linking quantum chemistry, reactivity data, and generative design for covalent drug targets, collaborating with chemistry and biology teams.
The Lead Solutions Engineer supports strategic sales opportunities by delivering tailored product demonstrations and technical workshops for PIM, MDM, and PXM solutions. This senior role acts as a technical subject matter expert, collaborating with cross-functional teams to align Syndigo's platform with complex enterprise customer requirements.
Lead end-to-end server and network platform programs for Cerebras AI clusters, driving NPIs, qualification, and production rollout while collaborating with OEMs, vendors, and internal teams.
About Digital Asset & the Canton Network Digital Asset builds the technologies that are reshaping the foundations of financial markets. Our mission is to create the world’s most trusted, privacy-enabled, and…
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