Low to No Risk

12

Moderate Risk

2

High Risk

4

Extreme Risk

1

• 2.2Develop or maintain applications that process biologically based data into searchable databases for purposes of analysis, calculation, or presentation.
• 2Analyze or manipulate bioinformatics data using software packages, statistical applications, or data mining techniques.
• 1.5Confer with researchers, clinicians, or information technology staff to determine data needs and programming requirements and to provide assistance with database-related research activities.
• 1.7Design or implement web-based tools for querying large-scale biological databases.
• 1.2Develop or apply data mining and machine learning algorithms.
• 2Extend existing software programs, web-based interactive tools, or database queries as sequence management and analysis needs evolve.
• 0.5Maintain awareness of new and emerging computational methods and technologies.
• 1.8Participate in the preparation of reports or scientific publications.
• 2.3Test new or updated software or tools and provide feedback to developers.
• 2Train bioinformatics staff or researchers in the use of databases.
• 1.6Conduct quality analyses of data inputs and resulting analyses or predictions.
• 1.5Confer with database users about project timelines and changes.

26.3% of Mathematical Science Occupations, All Other tasks can be automated with AI or robotics