[Remote] Intern 2026: AI-based forecasting of molecular interactions
Note: The job is a remote job and is open to candidates in USA. IBM Research is dedicated to technology and its societal impact, inviting you to be part of a team that shapes the future of computing. As an intern, you will analyze data using machine learning techniques to forecast molecular interactions, contributing to research reports and presentations.
Responsibilities
- Analyze the already collected data by building your own codes or using standard ML tools for analyzing time series from atomistic simulations
- Study the different contacts that the four Wnt proteins make with Wls, highlighting the contact network and how this shapes the protein-protein interaction
- Contribute to designing the analysis of the simulations and making improvements to the current status of the project
- Contribute to write a research report or paper on your internship project and present your work at internal research meetings and/or external workshops and/or conferences
Skills
- Background in Computer Science, Machine Learning, Biochemistry, or a related field
- Proficiency in Python, and technologies like TensorFlow, PyTorch, CUDA, and Ray
- Familiarity with high-performance computing environments, and DevOps tools (GitHub)
- Demonstrating the ability to conduct and communicate impactful research and of working in teams
- Experience in knowledge engineering, machine learning, and scientific software development
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