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.