INTERNSHIP DETAILS

Research Scientist Intern, AI Molecular Design

CompanyGenBio AI
LocationPalo Alto
Work ModeOn Site
PostedOctober 8, 2026
Internship Information
Core Responsibilities
The intern will develop and implement deep learning methods to simulate biological systems and contribute to the AIDO virtual cell world model. They will work on interdisciplinary research at the intersection of AI and biology to advance drug discovery and bioengineering.
Internship Type
intern
Salary Range
$8,000 - $10,000
Company Size
67
Visa Sponsorship
No
Language
English
Working Hours
40 hours
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About The Company
GenBio AI is an AI for Science company on a mission to make biology fully computable. The company is building an AI-Driven Digital Organism (AIDO) to simulate living systems, decode biology holistically, and accelerate medical and scientific research, thereby transforming medicine and healthcare to benefit humanity. AIDO Cell — a world model that simulates a cell's biology from molecules to whole-cell behavior — is the first step toward that larger mission. Our goal is to achieve actionable capabilities in simulating human physiology and disease. Based on such understanding we will use AIDO to design interventions, treatments and therapeutics which will pave the way for a new paradigm in drug design, bio-engineering, personalized medicine, and fundamental biomedical research. Our founding team consists of world-renowned scientists and researchers in AI and Biology from prestigious institutions including Stanford, CMU, MBZUAI, Weizmann, UW and Harvard, alongside prominent financial investors. Founded in 2024, GenBio AI is a global venture headquartered in Palo Alto, California, with labs in Paris and Abu Dhabi.
About the Role

GenBio AI is an AI for Science company on a mission to make biology fully computable. We are building AIDO (AI-Driven Digital Organism) to simulate living systems, decode biology holistically, and accelerate medical and scientific research. Our first step toward that mission is AIDO Cell, the first virtual cell world model that holistically simulates cell biology from molecules up to whole-cell behavior. It enables researchers to run experiments virtually, predicting how cells respond to genetic changes, drugs and other interventions before going into the lab. It is supported by AIDO Foundry, an AI-builds-AI engineering framework for automating virtual cell development, and AIDO Lab, an interface to digitally run experiments and observe the results. Together they form the foundation for a new paradigm in AI-driven drug discovery, bioengineering, and fundamental biomedical research.

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Qualifications:

  • M.S. or Ph.D. student (or evidence of equivalent level of expertise) in Computer Science, Artificial Intelligence, Machine Learning, or a related technical field.

  • Available for a 6-month, in-person internship in Palo Alto, CA, and authorized to work in the U.S. for the duration of the internship.

  • 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.

  • Strong theoretical foundation (e.g., statistics, optimization, graph theory, linear algebra).

  • Passion for interdisciplinary research (emphasizing the intersection of AI and Biology), and willingness to acquire necessary domain knowledge.

  • Motivated and self-driven with the ability to operate with partial descriptions of high-level objectives (as is typical in a start-up environment).

  • Familiarity with software engineering best practices (version control, documentation, etc).


Nice to Have:

  • 3 year PhD student and above.

  • 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.

  • Intern experience in industry (e.g., OpenAI, FAIR, Deepmind, Google Research).

  • Hands-on experience working at the intersection of AI and Biology, particularly protein structure prediction, protein sequence/structure modeling, or molecular design.

  • Experience with biological structure prediction algorithms or models such as AlphaFold2/3 or RoseTTAFold.

  • Experience in generative modeling for biological structures and sequences, including diffusion models, flow matching, or related approaches.

  • Experience in large-scale distributed training and inference.

  • Open-source contributions, especially if used by others.


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$8,000 - $10,000 a month
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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. GenBio AI participates in the U.S. Department of Homeland Security’s E-Verify program to confirm the employment eligibility of all newly hired employees. For more information on E-Verify, please visit www.e-verify.gov.

Key Skills
Deep LearningJAXTensorFlowPyTorchGenerative ModelsGraph Neural NetworksStatisticsOptimizationGraph TheoryLinear AlgebraSoftware EngineeringVersion ControlProtein Structure PredictionMolecular DesignDistributed TrainingInference
Categories
Science & ResearchTechnologySoftwareEngineeringData & Analytics