IBM Research is looking to solve the problem of advancing AI methods for scientific applications in biomedical research, by designing and developing large-scale AI models and algorithms.
Requirements
- Strong foundation in mathematics, physics and chemistry
- Experience with algorithms development and scientific computing
- Experience with AI/ML model design and training
- Proficiency in Python and modern deep learning frameworks (e.g., PyTorch)
- Experience working with large, complex biomedical datasets and high-performance computing environments
- Background in physics-based modeling, with a preferred focus on chemical and biophysical simulation
- Background in developing and implementing novel AI methods
Responsibilities
- Contribute to the design and development of large-scale AI models and algorithms for applications in the domain of biomedical research
- Build and evaluate research prototypes that advance AI methods for scientific applications grounded in the principles of physics, chemistry and biological sciences
- Collaborate with biomedical researchers in healthcare and pharmaceutical industries to develop AI agentic workflows and foundation models tailored towards their fields
- Develop and implement novel AI methods
- Apply quantum mechanics in the field of physics-based modeling
- Work with large, complex biomedical datasets and high-performance computing environments
- Design and train AI/ML models
Other
- Master's Degree preferred
- Current enrollment in Ph.D. program with a track record of research in referenced areas
- Collaborative mindset to work within an interdisciplinary team and with agile coding principles
- A drive to produce innovative, publishable research
- Ability to reason about complex biomedical problems
