GenBio AI
Research Scientist (AI) – Biomedical Imaging
GenBio AI, Palo Alto, California, United States, 94306
Research Scientist (AI) – Biomedical Imaging
GenBio AI is a start‑up dedicated to transforming biology and medicine with generative AI.
Base pay range
$17,000.00/yr - $250,000.00/yr
We are headquartered in Silicon Valley with branch offices in Paris and Abu Dhabi. Our team comprises leading minds in AI and biological science, pushing the boundaries of what is possible.
Job Requirements
PhD (or evidence of equivalent level of expertise) in Computer Science, Artificial Intelligence, Machine Learning, or a related technical field
Proven 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
Proven track record in developing and using advanced ML/AI methods for the analysis, modeling and/or generation of imaging and vision data
Skilled 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
A strong theoretical foundation (statistics, optimization, graph algorithms, linear algebra) with experience building models from ground up
A passion for interdisciplinary research (with an emphasis on the intersection of AI and Biology), and willingness to acquire necessary domain knowledge
Motivated 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)
Evidence of familiarity and utilization of software engineering best practices (version controlling, documentation, etc), and open‑source contributions, especially if used by others
Preferred Qualifications
3+ years of post‑PhD experience in an industry or postdoc role
Hands‑on prior experience working on biomedical images including one or more of the following: pathology images (H&E), various molecular and microscopy imaging, clinical image modalities (MRI, CT etc)
Practical experience in deep learning applications specific to the analysis of such images including segmentation, feature extraction, supervised and unsupervised applications
Experience in large‑scale distributed training and inference, ML on accelerators
Deep knowledge of various architectures and models for imaging data
We are an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.
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Base pay range
$17,000.00/yr - $250,000.00/yr
We are headquartered in Silicon Valley with branch offices in Paris and Abu Dhabi. Our team comprises leading minds in AI and biological science, pushing the boundaries of what is possible.
Job Requirements
PhD (or evidence of equivalent level of expertise) in Computer Science, Artificial Intelligence, Machine Learning, or a related technical field
Proven 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
Proven track record in developing and using advanced ML/AI methods for the analysis, modeling and/or generation of imaging and vision data
Skilled 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
A strong theoretical foundation (statistics, optimization, graph algorithms, linear algebra) with experience building models from ground up
A passion for interdisciplinary research (with an emphasis on the intersection of AI and Biology), and willingness to acquire necessary domain knowledge
Motivated 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)
Evidence of familiarity and utilization of software engineering best practices (version controlling, documentation, etc), and open‑source contributions, especially if used by others
Preferred Qualifications
3+ years of post‑PhD experience in an industry or postdoc role
Hands‑on prior experience working on biomedical images including one or more of the following: pathology images (H&E), various molecular and microscopy imaging, clinical image modalities (MRI, CT etc)
Practical experience in deep learning applications specific to the analysis of such images including segmentation, feature extraction, supervised and unsupervised applications
Experience in large‑scale distributed training and inference, ML on accelerators
Deep knowledge of various architectures and models for imaging data
We are an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.
#J-18808-Ljbffr