Pioneering Intelligence: Data Science Co-Op (Embedded Science Team)

What you'll do

• Build models, organize data, and deliver computational solutions with an interdisciplinary team.
• Experiment with diverse datasets and novel techniques.
• Communicate work to a multidisciplinary audience.

What they ask for

• Fluency in Python and experience implementing machine-learning methods with standard tools and packages such as PyTorch or JAX.
• Readiness to study the biology, physics, or chemistry of the platform companies.

Nice to have

• Publications or experience in CS, ML, Computational Chemistry/Biology, or a similar computational field.
• Experience with generative models, natural language processing, graphical neural networks, reinforcement learning, or similar; familiarity with software development, git, or public cloud resources.

Pay

$25 - $35 per hour (base salary)

Tools

Python, PyTorch, JAX, git, AWS, GCP, Azure

AI focus

Develop and apply AI/ML approaches for life sciences, including generative models for biomolecular design, self-learning agentic systems, and biophysical simulation.