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Job Description
We are looking for an enthusiastic and well-motivated Bioinformatics Research Fellow with exceptional organisation and communication skills to work on a major research project under the direction of Principal Investigator. This role involves designing, implementing, and analyzing complex statistical models and algorithms to extract meaningful insights from biological data sets. The specialist will collaborate with interdisciplinary teams and contribute to cutting-edge research projects in genomics, proteomics, and other related areas.
Key Responsibilities:
1. Develop and implement advanced statistical methodologies for analyzing large-scale biological data sets, including genomics, transcriptomics, proteomics, and metabolomics data.
2. Apply machine learning, data mining, and other computational techniques to identify patterns, correlations, and predictive models in biological data.
3. Collaborate with researchers and scientists to design and execute experiments, ensuring appropriate statistical design and analysis methods are applied.
4. Conduct statistical analysis of high-dimensional data, including hypothesis testing, clustering, classification, and regression analysis.
Qualifications
- PhD degree required with at least 2 years’ experience in bioinformatics, statistics, computational biology, or a related field.
- Strong proficiency in statistical analysis, machine learning, and data mining techniques. 3. Proficiency in programming languages commonly used in bioinformatics and statistical analysis (e.g., R, Python, MATLAB, or similar).
