عالم إحصاء حيوي | بن جرير (المغرب)

Job description

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Company culture :

UM6P – Mohammed VI Polytechnic University operates within a strongly innovation-driven culture, where creativity, experimentation and intellectual boldness are key foundations. The university promotes initiative, openness and autonomy in a stimulating environment focused on research, entrepreneurship and impact. This innovative mindset is reinforced by a solid cooperative dimension, fostering collaboration, knowledge sharing and human development. A clear focus on performance and excellence further supports this culture, while formal processes remain lighter to maintain agility and flexibility.

Job : Position Overview

The Biosciences CoreLab is seeking a skilled and motivated Biostatistician to support the statistical analysis and interpretation of complex biological and omics data.

The successful candidate will work closely with researchers, laboratory scientists, bioinformaticians, and other collaborators to ensure that appropriate statistical methods are applied throughout the research process - from experimental design and data processing to analysis, visualization, interpretation, and reporting.

Key Responsibilities

• Provide statistical support for biological, biomedical, and life-sciences research projects.
• Contribute to study design, sample-size estimation, power calculations, and the development of statistical analysis plans.
• Analyze complex biological datasets, including high-dimensional, omics, and large-scale data.
• Apply appropriate statistical and computational methods to genomics, transcriptomics, proteomics, metabolomics, and other omics datasets.
• Develop, implement, and validate statistical models and reproducible data-analysis pipelines.
• Perform exploratory data analysis, multivariate analysis, hypothesis testing, regression analysis, survival analysis, and predictive modeling, as required.
• Generate clear and accurate data visualizations, reports, and analytical summaries.
• Interpret results in collaboration with scientists and translate complex findings into meaningful biological insights.
• Ensure data quality, analytical reproducibility, and proper documentation of methods, code, and results.
• Contribute to scientific publications, technical reports, presentations, and research protocols.
• Stay informed about emerging statistical methodologies, computational tools, and best practices in biostatistics and omics data analysis.
• Provide guidance or training to researchers and laboratory staff on statistical concepts and data-analysis practices.