Role Overview
We are seeking a highly motivated AI Researcher with a Ph.D. in Mathematics or Physics to join our research team. You will contribute to the development of cutting-edge AI models applied to biological data, collaborating with scientists and engineers to drive discovery and innovation.
Key Responsibilities
- Develop, analyze, and optimize advanced machine learning models, including deep learning and probabilistic models, tailored to biomedical applications.
- Conduct theoretical and applied research bridging mathematics/physics with biological systems and data.
- Collaborate with domain experts to frame complex biological challenges into solvable AI problems.
- Design and implement experiments to validate model performance on real-world biological datasets (e.g., genomics, proteomics, medical imaging).
- Publish findings in top-tier journals and conferences, and contribute to patents and IP development.
- Stay current with the latest research in AI, applied mathematics, and computational biology.
Qualifications
- Ph.D. in Mathematics, Physics, or a closely related field.
- Strong background in one or more of the following: statistical mechanics, optimization, information theory, Bayesian inference, or numerical modeling.
- Solid programming skills in Python and experience with machine learning libraries (e.g., PyTorch, TensorFlow, JAX).
- Ability to work with large-scale, high-dimensional datasets.
- Excellent problem-solving and mathematical modeling skills.
- Strong communication skills and the ability to work in an interdisciplinary team.
Preferred Qualifications
- Experience with AI applications in biology, chemistry, or healthcare.
- Familiarity with bioinformatics tools and biological data formats (e.g., FASTA, VCF).
- Previous publications or projects in applied AI research.