Marketing Director, Language Scientific
Nick Gaj leads marketing at Language Scientific, helping life-science organizations navigate the complex intersection of language, regulation, and global scale. With over a decade of experience building and scaling go-to-market strategies in the translation and localization industry, Nick brings both business acumen and deep sector insight to the challenge of delivering medically accurate—and commercially effective—multilingual content.
After earning a B.S. in Marketing and Business Administration from Salve Regina University, Nick joined Language Scientific and rose through roles spanning marketing, sales enablement, and global client outreach. His work has helped position the company as a trusted partner for clinical, pharmaceutical, and medical device clients worldwide.
At the core of Nick’s philosophy is a simple belief: in life sciences, language is more than words — it’s risk, clarity, and compliance. That belief guides everything from campaign strategy to content messaging to brand positioning, ensuring Language Scientific’s services not only meet regulatory needs but also support scalability, efficiency, and global growth.
Language Scientific is a full-service corporate language services provider. We translate and localize to/from over 215 languages, and we interpret into/from over 150 languages, including all the major European, Asian, American, African, Indian and Middle Eastern languages.
With over 215 languages, Language Scientific supports almost any language. If however, you have very specific language requirements, please contact us and we will work with our ASKnetwork™ to add it.
The AI translation is free. Where is your patient data going? Your patient data was secure…until someone pasted it into AI. Data security and data
Does your pharmacy provide the same standard of care in every language? “Truthfully, everyone needs the exact same standard of care, whether you are proficient
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How Technology and Subject-Matter Expertise Improved International COA Validation A top-10 pharmaceutical company was struggling with the linguistic validation of Clinical Outcome Assessments across dozens
