Research Scientist Intern, AI Molecular Design
Compensation
From $8k /yr
Employment type
Full-time
Work setting
On-site
Location
Palo Alto, CA
Schedule
Day shift
Posted
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Job overview
The Research Scientist Intern, AI Molecular Design role is an in-person, six-month internship in Palo Alto, CA. Compensation is $8,000–$10,000 per month. GenBio AI is developing AI tools to simulate biology and accelerate medical and scientific research. The intern will contribute to research at the intersection of artificial intelligence and biology, applying deep learning methods to molecular design. The work supports GenBio AI’s effort to build virtual cell models and advance AI-driven drug discovery, bioengineering, and biomedical research.
What you'll do
- Develop, implement, and debug deep learning methods and models using frameworks such as JAX, TensorFlow, or PyTorch
- apply theoretical foundations including statistics, optimization, graph theory, and linear algebra
- pursue interdisciplinary AI and biology research and acquire relevant domain knowledge
- work with high-level objectives in a startup environment
- follow software engineering practices such as version control and documentation.
What we're looking for
- Skills & competencies
- research scientist internai molecular designartificial intelligencebiologyin-person internshippalo alto cagenbio aisix-month internshipjaxtensorflowpytorchgenerative models$8k–$10k/month
- Work arrangement
- Weekend coverage required
Why this role
Six-month in-person internship; applicants must be authorized to work in the U.S. for the internship duration; graduate student or equivalent expertise required; experience with protein modeling, biological structure prediction, generative modeling, or distributed training is a plus.
About the employer
GenBio AI is hiring for this role. Industry: Research and Development in the Physical, Engineering, and Life Sciences (except Nanotechnology and Biotechnology). Sector: 54.
Additional details
- Industry sector
- 54
- Industry
- Research and Development in the Physical, Engineering, and Life Sciences (except Nanotechnology and Biotechnology)
- Occupation code
- 19-1042.00
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Listing ID: ac186b4e-0161-4daf-9837-c4c26127f423