Why you need access to a full bioinformatics team

At Genevia Technologies, we tackle our customers’ bioinformatics challenges as a team. This places our customers in a position with many advantages over researchers relying on a one-person bioinformatics team.

Bioinformatics team at work

Bioinformatics is no one-person show

The most important benefit of a team-based service is that a single provider may cater to all of your data analysis needs. If you are running different types of high-throughput experiments from DNA- and RNA-sequencing to mass-spec, you may already know that finding a single bioinformatician who masters all the different analyses is no easy feat. Just as in any field within life sciences, no-one is a specialist in all bioinformatic analyses. We know that from experience, as even we don’t have an employee that could cover the vast needs of all our customers! Instead, we are a consulting company providing our customers with a pool of highly skilled, diverse specialists. When you buy a data analysis project from Genevia, the project manager selects the most qualified professionals to perform the analyses that match data and research questions.

It’s not only about bioinformatics - experience in biology and project management are needed too

In our bioinformatics team at Genevia, we have specialists from a broad range of backgrounds: experience with different programming languages, biological databases and their curation, different biological data types and their analysis or visualizations, as well as the actual wet-lab work underlying all data-yielding experiments. The project managers, on the other hand, have interdisciplinary experience in biology and bioinformatics, as well as of management and customer service. In other words, they know how to communicate with both the customer and the bioinformaticians, and how to optimize the resources to get maximal output for your budget.


To summarize, here are the top six reasons why I would prefer to have a full bioinformatics team take care of my data analysis needs:

  • Someone in the team is likely to have the required skills, experience, and ability to adapt the right methods to analyze your data.

  • The used methods are discussed and selected together, based on the combined experience of all team members. This enables more meaningful analyses and faster problem solving than anyone could do alone.

  • The work can be divided into sub-tasks and made faster by involving multiple analysts.

  • The output of the analysis is validated as a team, which increases the quality of all results and reporting.

  • A project manager plans the project in a quality-oriented and efficient way and presents and discusses the plan with the customer before implementation.

  • A designated project manager with a background in both biology and bioinformatics enables fluent communication between the customer and the bioinformatics team.

Are you interested in this model? Leave your contact info below to schedule a meeting with our bioinformatics specialists!

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