• Develop new software applications or customize existing applications to meet specific scientific project needs.
• Communicate research results through conference presentations, scientific publications, or project reports.
• Create novel computational approaches and analytical tools as required by research goals.
• Consult with researchers to analyze problems, recommend technology-based solutions, or determine computational strategies.
• Analyze large molecular datasets, such as raw microarray data, genomic sequence data, or proteomics data, for clinical or basic research purposes.
• Keep abreast of new biochemistries, instrumentation, or software by reading scientific literature and attending professional conferences.
• Develop data models and databases.
• Compile data for use in activities, such as gene expression profiling, genome annotation, or structural bioinformatics.