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Calico Life Sciences · 1 month ago

Intern, Machine Learning for Molecule Design (MS/PhD)

South San Francisco, CA

Internship

Onsite

Intern

$45/hr - $70/hr

Calico is a research and development company focused on understanding the science of aging. They are seeking an intern to join their Machine Learning (Molecule Design) group to perform research on modeling binding affinity and develop ranking models for molecular design applications.

Responsibilities

Gain expertise in state-of-the-art research in machine learning based molecule design

Implement novel ideas for ranking the designs

Develop benchmarks to validate models and compare performance to existing internal and public methods

Communicate results through presentation and/or publication

Qualification

Machine LearningPythonDeep Learning FrameworksAnalytical SkillsFlexibleTeamworkCommunication SkillsDetail-orientedSelf-motivated

Required

Currently pursuing a MS or PhD degree, in Computer Science, Machine Learning, Computational Biology, Biomedical Informatics, Statistics, Applied Mathematics, Physics or related field

Experience applying machine learning to solve challenging problems, and with modern machine learning techniques

Knowledge of Python and deep learning frameworks (such as PyTorch, TensorFlow, JAX)

Strong analytical and quantitative problem solving skills

Detail-oriented and organized

Strong teamwork and communication skills

Self-motivated with a 'can-do' attitude

Flexible, able to respond quickly to shifting priorities and able to multitask

Preferred

Experience in molecule design, cheminformatics, ranking or geometric deep learning

Benefits

Monthly living expenses stipend

Group supplemental activities weekly featuring guest speakers, Senior Leadership spotlights, and discussion groups on aging science, our drug development approach, and more

End-of-summer company-wide project showcase and poster session