Research Scientist (AI) – Biomedical Imaging

GenBio AI

Paris

Sur place

EUR 85 756 - 257 268

Plein temps

14 jours+

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Résumé du poste

GenBio AI is seeking a Research Scientist specializing in AI and biomedical imaging to join its innovative team. This role involves applying advanced machine learning techniques to drive research and development in the intersection of AI and biology. Candidates should have a PhD and a robust background in AI research and its applications in medical imaging. At GenBio AI, you'll be part of a visionary collective aiming to transform healthcare through generative AI.

Qualifications

Proven track record in research and innovation at top-tier AI journals.
Skilled in developing deep learning models in JAX, TensorFlow, or PyTorch.
Experience with biomedical imaging and willing to learn domain-specific knowledge.

Responsabilités

Conduct advanced research in biomedical AI and imaging.
Develop and implement ML methods for imaging data analysis.
Collaborate interdisciplinary to promote innovation in AI and biology.

Connaissances

Advanced ML / AI methods

Deep learning

Interdisciplinary research

Formation

PhD in Computer Science, AI, or related field

Outils

JAX

TensorFlow

PyTorch

Description du poste

Research Scientist (AI) – Biomedical Imaging

1 week ago Be among the first 25 applicants

This range is provided by GenBio AI. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.

Base pay range

$100,000.00/yr - $300,000.00/yr

Headquartered 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.

We 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 R&D 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.

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 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

Join us as we embark on this journey to redefine the future of biology and medicine.

We are an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.

Seniority level