Nicholas Manella
Technology Strategist - Healthcare in New Hope, PA
Nicholas Manella is a dynamic and influential figure in technology, particularly within the healthcare and life sciences sectors. His impressive career path, characterized by strong leadership and a commitment to excellence, showcases his significant contributions to these industries.
His academic foundation was laid at Penn State University, where he graduated with a degree in Criminal Justice in 2013. His time at university was marked by a strong leadership presence, evidenced by his active role in The Daily Collegian and participation on the university's boxing team. An overseas study program in Amsterdam further enriched his perspective, giving him a broadened outlook on global cultures and technology.
Following his graduation, he embarked on a professional journey that began with the Information Technology Leadership Development Program at Johnson & Johnson. This experience marked the onset of his successful career in technology, demonstrating his innate ability for punctuality and disciplined learning. He later transitioned to consulting in digital marketing in Pittsburgh and Philadelphia's healthcare and life sciences fields. Over eight years, his leadership skills and timely project executions have led to numerous successes.
His educational journey took an exciting turn when he was accepted for a master's program in computer science at Tufts University despite not having a formal background in the field. Balancing this with his role as a Technology Strategist, he continues to exemplify a systematic and timely approach in all his endeavors.
His noteworthy career achievements include significant contributions to commercializing multiple pharmaceutical drugs and developing an AI/machine learning platform for pharmaceutical commercialization. These successes underscore his strategic mindset and entrepreneurial flair. Notably, he generated substantial revenue in his first month as a Technology Strategist, highlighting his efficiency and results-driven approach.