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Drugs, devices, and data comprise the backbone of a biotech industry that’s anticipated to surpass $700 billion in revenues in the United States by 2025. The space is teeming with innovation, and the well-funded vertical attracts top-level talent by companies that need to compete or fold. Tremendous financial rewards prompt a steady stream of risk-taking by hopeful angel investors, who pony up tens of millions of dollars for two or three years of R&D funding. Here we’ll dive into several in-demand careers as dictated by recent industry trends, and the skills that companies want from their prospects.Naturally, navigating the FDA approvals process is one of the primary demands for any pharmaceutical company. This regulatory affairs career path prevails in every sector of biotech. In pharma, regulatory professionals are responsible for guiding product development in adherence with laws and regulations that govern the various points of the product lifecycle. A typical career arc moves from specialist to manager, and then director level. At some companies, roles of this variety fall under the auspices of a production manager.
Heading up the science component of biotech research is the chief medical officer (CMO). This role acts as the medical voice during the R&D process.
Consensus seems to be medtech companies need to shift away from a “technology first” emphasis and make sure the business model appears solid in order attract M&A attention. This makes staffing experienced mechanical engineers and systems engineers and developers requisite for companies hoping to compete.
In medtech R&D, the core team members are often called medical device engineers. This role taps from various flavors of the engineering profession—mechanical engineers, manufacturing engineers, lean six sigma process managers, quality assurance professionals, polymers and chemical engineers—really it’s a catch-all role that runs the gamut across the profession. The nature of the work calls for engineers proficient in SolidWorks, CAD, and injection molding software depending on the products the company creates.
On the programming side, AI and machine learning is the de facto game changer for medical devices and software. This is driving high demand for Python developers with electrical engineering backgrounds. We’re seeing the open source machine learning software TensorFlow enter the conversion. This former Google proprietary application continues its widespread adoption in medtech R&D. TensorFlow is a CUDA application is built for graphics processing (GPU) hardware. Companies are looking for project managers and deep learning engineers versed in GPU programming. Embedded medical devices have firmware usually written in C/C++ frameworks, and knowing MatLab and R makes candidates very marketable.
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