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
Company Overview
IBM is an IT technology and consulting firm providing computer hardware, software, infrastructure, and hosting services. It was founded in 1911, and is headquartered in Armonk, New York, USA, with a workforce of 10001+ employees. Its website is http://www.ibm.com.Company H1B Sponsorship
IBM has a track record of offering H1B sponsorships, with 3032 in 2025, 3301 in 2024, 2160 in 2023, 1809 in 2022, 1157 in 2021, 2669 in 2020. Please note that this does not guarantee sponsorship for this specific role.
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