Data Scientist

Prior knowledge of Biology or related discipline is a must with proven experience in Data science.

• Understand and translate the requirements of our research teams to develop scientific and technical plans that help to achieve their study objectives
• Analyse multi-omics (metabolomics, genomic, proteomic and etc) and other kinds of biological data to derive relevant insights using state-of-the-art statistical methods.
• Innovate and implement new tools and pipelines, improve existing pipelines and algorithms for different types of biological data analysis and visualization.
• Effectively communicate analysis results via presentations.
• Perform integrative, pathway and network analyses to understand disease mechanisms and discover insights.
• Identify valuable data sources and automate data collection.
• Monitor and evaluate new and emerging analytical technologies and identify opportunities for collaboration.
• Work in a multi-disciplinary team of Biologists and Chemists.

• PhD (1-3 years of experience in the relevant field) OR Master s Degree (3-5 years of relevant experience) in Bioinformatics, Computational Biology, Biology or related technical discipline.
• Relevant experience in Data Science, Bioinformatics, Omics data analysis, Machine Learning or related fields is preferred.
• Proficient in a programming language used for data analysis such as Python or R.
• Candidate with a thorough understanding of biological data, experimental design, data mining, and curation is preferred.
• Hands-on experience applying computational algorithms and statistical methods to structured and unstructured big data.
• Deep understanding of basic statistical concepts and principles, such as regression and hypothesis testing.
• Extensive experience in data mining, cleansing, data visualization, and machine learning