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AI Healthcare & Life Sciences Intern

IBM

San Jose, CAOn Site

Original Job Summary

Introduction

IBM Research shapes the future of technology by engaging in groundbreaking work that impacts society. Join this team to innovate and drive discovery that endures and transforms computing.

Your Role And Responsibilities

As a summer intern, you will contribute to the design and development of large-scale AI models and algorithms for biomedical research. You will help build and evaluate research prototypes that advance AI methods for scientific applications in physics, chemistry, and biological sciences. You will collaborate with biomedical researchers in healthcare and pharmaceutical industries to develop AI agentic workflows and foundation models tailored to their needs.

Preferred Education

Master's Degree

Required Technical And Professional Expertise

  • Strong foundation in mathematics, physics, and chemistry
  • Experience with algorithm development and scientific computing
  • Expertise in AI/ML model design and training
  • Proficiency in Python and deep learning frameworks (e.g., PyTorch)
  • Collaborative mindset and agile coding principles
  • Drive for innovative and publishable research
  • Current enrollment in a Ph.D. program with relevant research experience

Preferred Technical And Professional Experience

  • Experience with large, complex biomedical datasets and high-performance computing
  • Background in physics-based modeling, especially chemical and biophysical simulation
  • Developing and implementing novel AI methods
  • Ability to analyze complex biomedical problems
  • Knowledge of applying quantum mechanics in physics-based modeling

Key skills/competency

  • AI/ML
  • Research
  • Python
  • Deep Learning
  • Biomedical
  • Algorithms
  • Scientific Computing
  • Data Analysis
  • Interdisciplinary
  • Modeling

How to Get Hired at IBM

🎯 Tips for Getting Hired

  • Research IBM's culture: Study their mission, values, and recent research breakthroughs.
  • Customize your resume: Highlight AI research and scientific computing experience.
  • Prepare technical insights: Brush up on algorithms, deep learning, and simulation.
  • Show interdisciplinary skills: Emphasize collaboration in diverse teams.

📝 Interview Preparation Advice

Technical Preparation

Review deep learning frameworks basics.
Practice Python and scientific computing exercises.
Study AI model design and training techniques.
Familiarize with large biomedical datasets.

Behavioral Questions

Describe a team collaboration experience.
Explain how you solve technical challenges.
Discuss handling interdisciplinary project conflicts.
Share a time you adapted under pressure.