Biological AI Research Specialist
4 days ago
About GenBio AI
Headquartered in Silicon Valley, GenBio AI is a pioneering start-up dedicated to revolutionizing biology and medicine through the power of generative AI. Our team comprises visionary scientists, engineers, and entrepreneurs who share a passion for decoding biology holistically and enabling life-transforming solutions.
We are at the forefront of pan-modal Large Biological Models (LBM), pioneering a new era of biomedicine with ground-breaking advancements and a transformative approach to healthcare. With headquarters in Silicon Valley, California, and branch offices in Paris and Abu Dhabi, we are poised to make a significant global impact.
Job SummaryAs a Biological AI Research Specialist, you will work closely with our team to conduct cutting-edge AI and computational biology research. Your primary tasks will include improving existing models and exploring new methodologies to advance our AI capabilities in biology.
You will be responsible for designing and executing experiments, analyzing complex datasets, and applying statistical techniques to validate the performance and robustness of AI systems. Additionally, you will collaborate with AI/ML researchers and computational biologists to develop our state-of-the-art AI for biology foundation models.
Key Responsibilities- Conduct advanced AI and computational biology research to improve existing models and explore new methodologies.
- Design and execute experiments to analyze complex datasets and apply statistical techniques to validate AI system performance.
- Collaborate with AI/ML researchers and computational biologists to develop AI for biology foundation models.
To succeed in this role, you should have:
- A strong background in Computer Science, Artificial Intelligence, Machine Learning, or a related technical field.
- Proficiency in developing, implementing, and debugging deep learning methods/models in popular frameworks like JAX, TensorFlow, or PyTorch.
- A solid theoretical foundation in statistics, optimization, graph theory, and linear algebra.
- A passion for interdisciplinary research, especially at the intersection of AI and Biology.
- Motivation and self-drive, with the ability to operate in a fast-paced startup environment.
- Familiarity with software engineering best practices.
- Advanced degree (Ph.D.) in a relevant field.
- Proven track record of research contributions in top-tier AI/ML conferences and/or core biology journals.
- Experience in industry, particularly in AI and/or biotech companies.
- Hands-on experience working at the intersection of AI and Biology.
- Knowledge of large-scale distributed training and inference.
- Open-source contributions.
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