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You will leverage on computational tools and methodologies to analyze and interpret complex biological data,particularly in the context of lymphoma studies. The incumbent will be responsible for utilizing programming languages such as Python or R, to develop and implement bioinformatics pipelines that facilitate genomic and proteomic analysis. This role requires proficiency in bioinformatics tools and software, as well as familiarity with databases and data management systems relevant to biological data.
You will apply strong statistical analysis skills and data visualization techniques to translate findings into actionable insights, thereby supporting research objectives and enhancing our understanding of lymphoma. Critical thinking and problem-solving abilities are essential for addressing research challenges, while excellent verbal and writtencommunication skills will enable effective collaboration with multidisciplinary teams. Additionally, experience with high-throughput sequencing data analysis and interpretation is crucial for the successful execution of the role,ensuring that the organization remains at the forefront of innovative research in the field.
Requirements:
- PhD in Bioinformatics or its equivalent.
- Proficiency in programming languages such as Python or R.
- Experience with bioinformatics tools and software for genomic and proteomic analysis.
- Familiarity with databases and data management systems relevant to biological data.
- Strong statistical analysis skills and experience with data visualization techniques.
- Ability to interpret complex biological data and translate findings into actionable insights.
- Strong critical thinking and problem-solving abilities to address research challenges in lymphoma studies.
- Experience with high-throughput sequencing data analysis and interpretation.
- Proficient in Microsoft Office applications.
- Experience working in a research lab would be an advantage.
- Good interpersonal, excellent verbal and written communication skills and comfortable interacting with doctors and other healthcare professionals as well as local/international research collaborators.
- Meticulous, careful, fast and accurate.
- A good team player, independent and self-motivated with good time management abilities.
Job ID: 135066967