Dayhoff Labs

Internship Opportunity: Chemical Reaction Network Modeling & Differentiable Simulation

Dayhoff Labs is seeking a talented and motivated co-op/intern to join our team and work on cutting-edge projects in chemical reaction network modeling using modern AI tools.

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Responsibilities:

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• Develop and implement advanced AI models for chemical reaction network modeling and differentiable simulation.

• Collaborate with our team of experts in artificial intelligence, scientific research, and engineering to tackle complex challenges in chemistry and biochemistry.

• Contribute to the design, optimization, and evaluation of novel algorithms and techniques for synthetic biology applications.

• Assist in the preparation of research papers, presentations, and reports to showcase the results of your work.

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Requirements:

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• Bachelor's or Master's degree in machine learning, physics, theoretical chemistry, or a related field, or a doctoral student pursuing their PhD in one of these areas.

• Experience with modern AI tools such as Jax, PyTorch, or Julia.

• Strong programming skills and experience with Python or other programming languages.

• Excellent problem-solving skills and the ability to work independently and as part of a team.

• Strong communication skills, both written and verbal.

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At Dayhoff Labs, we offer competitive compensation packages and a supportive work environment that fosters innovation and growth.

To apply, please submit your resume and a cover letter outlining your experience and suitability for the role to careers@dayhofflabs.com.