We describe a new computational cognitive model that is being developed for solving complex problems in bioinformatics. This cognitive model was developed based on observing biologists solving problems in their current environments. Bioinformatics provides several challenges to current problem-solving environments: 1) massive heterogeneous data to mine and fuse; 2) quantity of information is growing and changing on a monthly basis; 3) knowledge base is being challenged and changed as biologists learn more (this occurs on a very short schedule). This paper describes the problem domain, evolution of this new model, the model itself, how this model relates to current literature, and concludes with a summary of our ongoing research efforts.