We are seeking several highly motivated postdoctoral researchers in computational immunology to work on exciting projects focused on the development of multi-scale models of the immune system, with a focus on B and T cell biology. The team has a strong focus on machine learning and interpretable deep learning. However, more theoretically oriented candidates, interested in developing mathematical and mechanistic models of the immune system, are also encouraged to apply. The projects can be tailored to the candidate’s skills and preferences in the following areas:
- Developing interpretable deep learning approaches to model T cell receptors and B cell receptor binding, as well as for analyzing and integrating multi-omics datasets.
- Creating hybrid mathematical-AI models that combine mechanistic knowledge with AI to tackle challenges related to data scarcity, robustness, and generalization in existing data-driven models.
- Investigating and addressing uncertainties in AI models by adapting current reliability benchmarks for single-cell dataset analysis.
- Developing multi-scale mechanistic or data-driven models of the immune system, with a focus on T and B cell biology.
Candidates must have a PhD in Computational Biology, Bioinformatics, Systems Biology, or a STEM-related field (e.g., Mathematics, Physics, Computer Science). Those in the final stages of their PhD are also eligible to apply. A good understanding of molecular biology and/or immunology is considered an asset. The successful candidate should be capable of working both independently and as part of a team.
Essential skills:
Proficiency and hands-on experience in machine learning and deep learning.
Strong programming skills, preferably in Python.
Solid foundation in mathematical modeling, probability, and statistics.
Ability to work collaboratively in an interdisciplinary team.
Good to have:
Experience in computational biology.
Familiarity with multi-omics data analysis.
Knowledge of interpretable deep learning methods.
Good understanding of immunology and/or molecular biology.
Soft skills
Excellent English, both written and spoken, and strong communication skills
Ability to work effectively in teams
Ability and interest in mentoring junior scientists
Strong problem-solving and critical-thinking skills
Good time management and organizational skills
Ability to work independently and take initiative
Please submit your application materials, including a cover letter, CV, list of publications, and names of referees, to Prof. María Rodríguez Martínez via email (maria.rodriguezmartinez_at_yale.edu).