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.