Jesper Donsmark
Senior Data and Technology Specialist at Dansac A S
Based in Copenhagen, Denmark
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Seniority
Staff
Department
Other
Location
Copenhagen
Industry
Medical Equipment Manufacturing
Company size
185
Contact information
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j•••••••@dansac.com
Phone
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Background
About Jesper Donsmark
If you are looking for a senior tech-and data driven person with good interpersonal skills and many years of experience in medical device continue reading here. From 2025-October I will be available for new job challenges as my current position at Dansac will terminate due to the entire Dansac Production is moving to Lithuania. I hold a PhD in Biophysics and have a curious and analytical mindset. I am passionate about solving complex problems and helping people through data-driven decision-making. My strong skills in mathematics, algorithms, statistics, and programming enable me to create systems and analyses that support informed data-driven decisions. My academic background combines both theoretical and practical experience, including biophysics studies of proteins and RNA using optics and various spectroscopy methods, along with expertise in programming, physics, mathematics, chemistry, and biology. I have extensive experience in the development and manufacturing of medical devices, with a solid foundation in regulated environments and processes such as risk management, verification, and validation. At Agilent Technologies, I served as the Design Responsible for the Autostainer Link 48 instrument. With a practical mindset, I have developed engineering skills to create and design measurement devices using 3D printing, microcontrollers, and IoT technology. My lifelong passion for computers, technology, and programming has led to senior-level proficiency in both Linux and Windows. At Dansac, I significantly contributed to the digital transformation by implementing virtual machines, custom Docker containers, and establishing data pipelines using open-source technologies like Airflow, Dash, and Grafana. I am proficient in a wide range of programming languages, using Python and R for data science and data engineering tasks.
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