To probe the complexity of modern diseases, multidisciplinary approaches are increasingly applied. Typically underpinning such studies are collaborations between wet bench experimentalists and dry lab bioinformaticians. Despite the need, bioinformatics collaborators remain difficult to find. Therefore, we undertook a study to understand the nature of this research, so that we may better understand how to meet the needs of future multidisciplinary projects. To accomplish this, we have performed a retrospective study of data from three years of projects performed by the UTHealth Bioinformatics Service Center. Based on this, we found that the bioinformatics in these collaborative projects are extremely diverse and require a high degree of intellectual engagement, while requiring only a small amount of publishable methods development. Very few of the specific skills, the strength of a service core, could be recycled across projects, which were generally exploratory and open-ended and required cycles of biological hypothesis development and (in silico) testing. We find that biomedical research requires bioinformaticians that are highly trained, having the ability to think biologically, but investigating using computational rather than bench experiments. This is in contrast to the activities that are typically the basis for an independent career in biomedical informatics, namely developing new software and algorithms. These findings suggest that to foster team-based multidisciplinary research, institutions must adopt policies that recognize contributions to research by applied bioinformatics scientists.
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