Computational graduate students and postdoctoral fellows
The Aran Lab integrates multidimensional biomedical data — including genomics and clinical data — to advance precision medicine and improve therapeutic strategies. The core themes of the lab are:
Developing computational methods to understand cellular heterogeneity in complex tissues.
Incorporating cutting-edge technologies (including single-cell RNA-seq and spatial transcriptomics) to study cellular dynamics in the tumor-microenvironment affecting response to immunotherapies.
Investigating real-world evidence and developing machine-learning models to improve clinical decision-making.
The lab is affiliated with the Faculties of Biology and Computer Science and the Lorry I. Lokey Interdisciplinary Center for Life Sciences and Engineering at the Technion – Israel Institute of Technology, Haifa, Israel.
For more information, please visit https://aran-lab.com/
We are seeking motivated students to develop and study novel approaches in translational bioinformatics, or the application of analytic and interpretive methods to optimize the transformation of
data of many types into proactive, predictive, preventative, and participatory health.
Ideal candidates will have:
- Strong background in one or more of the following fields: computational biology, bioinformatics, biostatistics, clinical informatics, data science and machine learning.
- Background in molecular biology, medicine or pharmacology will be a strong plus.
- Prior experience with genetic, transcriptomic, drug, or clinical databases, machine-learning, deep-learning, text-mining and knowledge representation is a plus.
- Strong problem-solving skills, creative thinking, and the ability to build new software tools as needed are required.