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GenBio AI

GenBio AI

genbio.ai

1 Job

40 Employees

About the Company


GenBio.AI, Inc. (GenBio AI) is an innovative global startup dedicated to developing the world's first AI-driven Digital Organism, an integrated system of multiscale foundation models for predicting, simulating, and programming biology at all levels.

Our goal is to achieve comprehensive, actionable empirical understandings of the mechanisms underlying all organismal physiologies and diseases. This will pave the way for a new paradigm in drug design, bio-engineering, personalized medicine, and fundamental biomedical research, all powered by Generative Biology.

Our founding team consists of world-renowned scientists and researchers in AI and Biology from prestigious institutions such as CMU, MBZUAI, WIS, alongside prominent financial investors.

GenBio AI, a true global effort from day one, is establishing offices in Palo Alto, Paris, and Abu Dhabi.

Listed Jobs

Company background Company brand
Company Name
GenBio AI
Job Title
Research Scientist Intern
Job Description
Job Title: Research Scientist Intern Role Summary: Conduct advanced AI and computational biology research to enhance large-scale biological models. Design experiments, analyze datasets, validate model performance, and collaborate with interdisciplinary teams on foundation model development. Expactations: - Graduate-level (MS or Ph.D.) student in Computer Science, AI, ML, or related field. - Proficient in deep learning frameworks (JAX, TensorFlow, PyTorch). - Strong foundation in statistics, optimization, graph theory, and linear algebra. - Passion for AI‑biological research; willing to acquire domain knowledge. - Self‑motivated, adaptable to high‑level, partially defined objectives typical of a startup. - Familiar with software engineering best practices (version control, documentation). Key Responsibilities: - Improve and innovate deep learning models for biological applications, focusing on generative models, graph neural networks, and large‑scale training. - Design and execute experiments, manage datasets, and apply statistical techniques to assess AI system robustness. - Collaborate with AI/ML researchers and computational biologists to build state‑of‑the‑art foundation models for biology. - Contribute to code development, model documentation, and result dissemination. - Participate in interdisciplinary research discussions and proposal development. Required Skills: - Programming: Python, deep learning libraries (JAX, TensorFlow, PyTorch). - Machine learning: model development, debugging, experimentation, and validation. - Data analysis: statistical methods, performance metrics, and reproducibility. - Version control (Git), documentation, and collaborative software practices. - Strong analytical and problem‑solving abilities. Required Education & Certifications: - Current MS or Ph.D. student in Computer Science, AI, ML, or equivalent technical discipline. - Coursework/experience in statistics, optimization, graph theory, and linear algebra (no specific certifications required).
Paris, France
Hybrid
Fresher
22-12-2025