description du poste

h3Research Scientist (AI) – Biomedical Imaging /h3pThis range is provided by GenBio AI. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more. /ph3Base pay range /h3p$100,000.00/yr - $300,000.00/yr /ppHeadquartered in Silicon Valley, we are a newly established start-up where a collective of visionary scientists, engineers, and entrepreneurs are dedicated to transforming the landscape of biology and medicine through the power of generative AI. Our team comprises leading minds and innovators in AI and biological science, pushing the boundaries of what is possible. We are dreamers who reimagine a new paradigm for biology and medicine. /ppWe are committed to decoding biology holistically and enabling the next generation of life-transforming solutions. As the first mover in pan-modal Large Biological Models (LBM), we are pioneering a new era of biomedicine, with our LBM training leading to ground-breaking advancements and a transformative approach to healthcare. Our robust RD team and leadership in LLMs and generative AI position us at the forefront of this revolutionary field. With headquarters in Silicon Valley, California, and a branch office in Paris and Abu Dhabi, we are poised to make a global impact. Join us as we embark on this journey to redefine the future of biology and medicine through the transformative power of Generative AI. /pstrongJob Requirements /strongulliPhD (or evidence of equivalent level of expertise) in Computer Science, Artificial Intelligence, Machine Learning, or a related technical field /liliProven track record in research and innovation demonstrated through contributions in top-tier AI/ML (e.g., NeurIPS, ICML, CVPR, ECCV, ICCV, ICLR) and/or core biology (e.g., Nature, Science, or Cell) journals and conferences /liliProven track record in developing and using advanced ML / AI methods for the analysis, modeling and / or generation of imaging and vision data /liliSkilled in developing, implementing, and debugging deep learning methods/models in popular frameworks, such as JAX, TensorFlow, or PyTorch, with an interest in generative models, graph neural networks, or large-scale deep learning applications /liliA strong theoretical foundation (statistics, optimization, graph algorithms, linear algebra) with experience building models ground up /liliA passion for interdisciplinary research (with an emphasis on the intersection of AI and Biology), and willingness to acquire necessary domain knowledge /liliMotivated and self-driven with the ability to operate with partial and incomplete descriptions of high-level objectives (as is typical in a start-up environment) /liliEvidence of familiarity and utilization of software engineering best practices (version controlling, documentation, etc), and open-source contributions, especially if used by others /li /ulstrongPreferred Qualifications /strongulli3+ years of post-PhD experience in an industry or postdoc role /liliHands-on prior experience working on biomedical images including one or more of the following: pathology images (HE), various molecular and microscopy imaging, clinical image modalities (MRI, CT etc) /liliPractical experience in deep learning applications specific to the analysis of such images including segmentation, feature extraction, supervised and unsupervised applications /liliExperience in large-scale distributed training and inference, ML on accelerators /liliDeep knowledge of various architectures and models for imaging data /li /ulpJoin us as we embark on this journey to redefine the future of biology and medicine. /ppWe are an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. /ph3Seniority level /h3pNot Applicable /ph3Employment type /h3pFull-time /ph3Job function /h3pOther /ph3Industries /h3pSoftware Development /p #J-18808-Ljbffr