Faculty position in Bioinformatics

Responsibilities:

• Lead and contribute to research projects focused on deciphering the molecular mechanisms of cancer, leveraging multi-omics data and network biology.
• Develop and apply cutting-edge AI models integrating multi-omics and clinical data for cancer biomarker discovery, patient stratification, and prediction of treatment response.
• Design and implement AI-driven bioinformatics tools and NGS pipelines, specializing in multi-omic data integration, workflow automation (Nextflow, Snakemake), and data interpretation (R, Python).
• Contribute to grant writing and publication of research findings in high-impact journals.
• Mentor and train junior researchers.

• Ph.D. in Bioinformatics, Computational Biology, or a related field.
• Extensive experience (5+ years post-doctoral) in bioinformatics, computational genomics, and AI, with a focus on cancer research.
• Demonstrated expertise in multi-omics data analysis and integration.
• Proficiency in programming languages such as R and Python, and workflow management tools like Nextflow and Snakemake.
• Experience developing and applying AI/machine learning models to biological data.
• Strong publication record in reputable scientific journals.
• Excellent communication and collaboration skills.
• Experience with grant writing and management is a plus.

Highly Desirable Experience:

• RNA-mediated gene silencing
• Cancer biomarker discovery
• Precision oncology
• Development of bioinformatics tools and pipelines