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Digital Transformation in Life Sciences

It’s no secret that a transformation within the digital landscape is underway. The sheer ability of a laptop and Wi-Fi connection to fuel an entire career is proof enough. We’ve read countless articles about agile work scenarios and have been first-hand witnesses to the age of online communication.

The restriction of clean room environments and unattainably expensive lab equipment means that for most employees in the Life Sciences industry, working from home isn’t an option. Yet, digital transformation is still set to have a massive impact on the industry.

Science is much more than developing, testing, and trialing atomic structures and explosive chemicals. Sure, lab work is the driving force behind innovation within the sector, but data collection is the backbone that keeps the industry connected to information. Historically, Life Science organisations have been slow to adapt to digital transformation, but the pandemic emphasized the necessity for digital growth. As the race to create Covid-19 vaccines ensued, information sharing between organisations became the key to achieving time-pressured results.

What does this mean for the future of the industry?

To remain competitive, organisations will need to release significant investment into scientific computing. Not just to record and track progress, but to retain standards and gain access to knowledge from experts across an array of external organisations. With 70% of life science organisations in the EU planning to join an industry digital ecosystem, this is the future of Life Science innovation.

Adopting digital technologies is not just a luxurious add-on, it’s a future-proof necessity. Therefore, team members must be knowledgeable of IT systems, even at a basic level. If the process speed witnessed during the pandemic is to be maintained, bioinformaticians for example, will not only collect data but also be capable of assessing and categorizing findings and imputing these into a cloud computing system. Technology serves as the adhesive to bind people and machines at every touchpoint and it’s time for organisations to welcome this.

This digitalization will connect science and IT, resulting in more communication, closer collaboration, and an enhanced alignment of sector-specific goals. Adaptation of the workforce through the introduction of training in AI and machine learning will ensure that computing system knowledge is attained. In tandem, adapting the IT architecture by developing a cloud computing system will allow organizations to defy the boundaries of internal information.

At Kelly, we know that searching for the right-fit for your team can take time and may often feel impossible. Partnering with Kelly provides you with access to highly skilled professionals, so that you can focus your energy on achieving organisational goals. Click here to find out more about what we do within Life Sciences or click here to get in touch with a member of our team today.