How do I apply for the Research Scientist Intern position at GenBio AI and track my application?

We provide a direct link to the official application portal. You can apply directly here . Additionally, you can easily track this and other applications by clicking the bookmark icon to save it to your YGI Kanban board .

What are the working arrangements and expected duration for the Research Scientist Intern role?

This position is a not disclosed, structured as a not disclosed role, with an expected duration of 6 months.

What educational background or degree level is required for the Research Scientist Intern at GenBio AI?

Candidates are generally expected to be holding or pursuing the following degree levels: Master, PhD.

Does GenBio AI provide visa sponsorship or assistance for international applicants?

Regarding visa assistance and sponsorship for this role, the official status is currently listed as: Not disclosed.

Research Scientist Intern

GenBio AI

Found 5 months ago

Location

Silicon Valley, United States

Duration (Months)

6 Months

Time

Not disclosed

Work Mode

Not disclosed

Salary

Not disclosed

Visa Help

Not disclosed

Last Verified

2 months ago

Education

Master
PhD

Skills & Qualifications

Technical Skills

deep learning methods/models
JAX
TensorFlow
PyTorch
generative models
graph neural networks
large-scale deep learning applications
statistics
optimization
graph theory
linear algebra
software engineering best practices
version control
documentation
AI
computational biology
AI/ML

Soft Skills

Passion for interdisciplinary research
willingness to acquire necessary domain knowledge
Motivated
self-driven
ability to operate with partial descriptions of high-level objectives

Job Description

You will work with the 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 work with the team on designing and executing experiments, analyzing complex datasets, and applying statistical techniques to validate the performance and robustness of AI systems. Additionally, you will collaborate closely with the AI/ML researchers and computational biologists on the team to develop our state-of-the-art AI for biology foundation models.

Requirements

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 (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).

AI & Machine Learning

AI Research

Languages

English

Nice to Haves

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.
Experience in large-scale distributed training and inference.
Open-source contributions, especially if used by others.

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