• Must handle a variety of problems and tasks, with the common theme of improving things.
• Utilize a solid foundation of knowledge in biology and biotechnology and rapidly learn new subjects.
• Tackle problems large and small with an analytical and objective approach.
• Understand that it’s often not just “engineering” or “science” but other aspects for the client, such as operational efficiency, patentable ideas, or future designs.

A biotechnology consultant may be called in for a variety of different tasks to make things better. Despite differences in problem details, a common framework can be applied to solve them. First, study the problem, then apply logical and systematic methods to solve it. A small firm with personnel that draws from various backgrounds can provide a tailored and personalized approach to a problem that big firms may not necessarily bring to the table. A “one size fits all” approach does not work in consulting, just as it does not in software.

Acting as a biotechnology consultant differs from merely being a programmer or engineer. Instead of just implementing or incorporating hardware that is provided or writing programs that perform only the task specified, our experience allows us to offer alternate solutions for exploration. This can include alternative sources for equipment, a careful analysis of the required specifications in a system, or alternate designs that can reduce cost or moving components that can decrease reliability. A consultant will keep their eye open to other aspects of a project where alternative solutions could perhaps be considered.

Our goal as biotechnology consultants is to bring in experience and external expertise that may not be available in-house, including the following:

• Improving workplace efficiency or test system reliability through automation and streamlining of workflow and user interfaces.
• Highly specific technical aspects of systems, such as optimization of PID loops, optics and methods for thermal sensing, or high-voltage measurement components.
• Design of R & D systems and software flexible for future modification to boost the innovation process or the ability to rapidly develop and test new products.
• Based on information from R&D systems, refine the specifications for systems more suitable as a product for market or for multiple parallel testing stands. This could include analysis of the types of data acquisition or generation channels, sampling rate, absolute accuracy, noise tolerance, and other details.
• Experience working with other engineering teams.

In each case, we bring an objective, scientific point of view that may bring a new approach or perspective or help improve efficiency or reliability of systems in a company.