Faculty position in Bioinformatics

Alfaisal University; Riyadh; On-site; SAR 150,000 - 200,000; Full time

Job summary

An innovative institution is seeking a passionate researcher to lead groundbreaking projects in cancer research. This role involves leveraging advanced multi-omics data and AI techniques to discover biomarkers, predict treatment responses, and develop bioinformatics tools. You will have the opportunity to mentor junior researchers and contribute to impactful publications. If you possess a Ph.D. in a relevant field and have extensive experience in bioinformatics and AI, this is a chance to make significant contributions to precision oncology and cancer biomarker discovery in a collaborative environment.

Qualifications

• 5+ years of experience in bioinformatics and AI focused on cancer research.
• Expertise in multi-omics data analysis and integration.

Responsibilities

• Lead research projects on molecular mechanisms of cancer using multi-omics data.
• Develop AI models for cancer biomarker discovery and treatment response prediction.

Skills

AI models

Multi-omics data analysis

Bioinformatics

Cancer research

Programming in R

Programming in Python

Communication skills

Education

Ph.D. in Bioinformatics

Ph.D. in Computational Biology

Tools

Nextflow

Snakemake

Job description

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.

Qualifications:

• 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