Artificial Intelligence Innovation Pharmaceuticals Recruiting 
CIO
SEPTEMBER 18, 2023
The latest piece in her reinvention story is Synchrony’s new Tech Apprenticeship for Artificial Intelligence, a full-time, 12-month program that balances on-the-job learning with instructor-led training, providing Chavarin with a pathway into one of the most coveted technology spaces despite her very nontraditional IT background.
CIO
NOVEMBER 9, 2023
As countless organizations race to investigate or adopt artificial intelligence technologies, many are building out an AI skilled workforce. That includes the decision to appoint or hire a chief artificial intelligence officer (CAIO).
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N2Growth Blog
OCTOBER 23, 2023
As the sector evolves and expands, companies increasingly turn to executive search firms like N2Growth to help them identify and recruit top talent for critical leadership roles. The life sciences industry is known for its unique challenges in recruiting and hiring.
TechCrunch
OCTOBER 28, 2021
Breakstone and Ben-Ami have recruited talent from the research and pharmaceutical industries, along with alumni from Google, Chorus.ai Given that the platform doesn’t require a dedicated device, Breakstone says pharmaceutical companies will be able to integrate NeuraLight into clinical trials and in remote settings.
N2Growth Blog
JANUARY 10, 2024
With the guidance and support of experienced executive search consultants, companies can strengthen their leadership teams and drive innovation, growth, and success in the life sciences industry. The rapid pace of innovation and advancement in the sector further compounds the challenges of leadership recruitment.
Apps Associates
AUGUST 3, 2023
When RPA is combined with the power of Artificial Intelligence (AI), which can process vast quantities of data in the blink of an eye, Life Science companies are able to further push the boundaries of what’s possible. As these technologies continue to advance, new opportunities for innovation and growth will emerge.
Capgemini
OCTOBER 9, 2020
Newly qualified data scientists who haven’t worked in R&D-heavy organizations, including life sciences and healthcare, can struggle to understand the pharmaceutical science and drug approval process, how best to represent and interpret it accurately with their tools, or where to focus their efforts. Experience and insight for the future.
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