Research Scientist Intern

Headquartered in Silicon Valley, we are a newly established start‑up dedicated to transforming biology and medicine through generative AI. Our team of visionary scientists, engineers, and entrepreneurs is committed to decoding biology holistically and enabling the next generation of life‑transforming solutions. We are pioneers of pan‑modal Large Biological Models (LBM) and aim to use our training to achieve groundbreaking advancements in healthcare.

Join us as we embark on this journey to redefine the future of biology and medicine through the transformative power of Generative AI.

Job Description

• Work with the team to conduct cutting‑edge AI and computational biology research, improving existing models and exploring new methodologies to advance our AI capabilities in biology.
• Design and execute experiments, analyze complex datasets, and apply statistical techniques to validate the performance and robustness of AI systems.
• Collaborate closely with AI/ML researchers and computational biologists to develop state‑of‑the‑art AI for biology foundation models.

Qualification

• 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.
• 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 in statistics, optimization, graph theory, and linear algebra.
• Passion for interdisciplinary research, emphasizing the intersection of AI and biology, and willingness to acquire necessary domain knowledge.
• Motivated and self‑driven, capable of operating with partial descriptions of high‑level objectives, as typical in a start‑up environment.
• Familiarity with software engineering best practices (version control, documentation, etc.)

Nice to Have

• Three‑year Ph.D. student and above.
• Proven track record in research and innovation demonstrated through contributions in top‑tier AI/ML or core biology journals and conferences.
• Intern experience in industry such as OpenAI, FAIR, DeepMind, or Google Research.
• Hands‑on experience working at the intersection of AI and biology.
• Experience in large‑scale distributed training and inference.
• Open‑source contributions, especially if used by others.

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

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.