1. Programming Languages: Proficiency in languages like Python, R, and Perl.
2. Data Analysis: Skills in statistical analysis and handling large datasets.
3. Machine Learning: Understanding of algorithms and their application in bioinformatics.
4. Genomics and Proteomics: Knowledge of genetic data analysis.
5. Databases and Tools: Familiarity with bioinformatics tools and databases.
6. Communication: Ability to present complex data effectively.