GenBio AI · 4 weeks ago
Research Scientist (AI) – Biomedical Imaging
Palo Alto, CA
Full-time
Onsite
Mid, Senior Level
$170K/yr - $250K/yr
3+ years expGenBio AI is a newly established start-up based in Silicon Valley, dedicated to transforming biology and medicine through generative AI. The Research Scientist will focus on advancing AI and ML methods for biomedical imaging, contributing to innovative solutions in healthcare.
Artificial Intelligence (AI)BiotechnologyMedical
Responsibilities
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 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
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
Qualification
Required
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 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
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
Company
GenBio AI
GenBio AI creates AI-driven models to simulate and predict biological systems at multiple scales.
11-50 employees
H1B Sponsorship
GenBio AI has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (3)
2024 (1)
Funding
Current Stage
Early StageRecent News
2025-11-14
Company data provided by crunchbase