Data Specialist at DTU Arena for Life Science Automation (DALSA)

DTU Construct are looking for a proactive and skilled Data Specialist with expertise in data infrastructure, architecture, warehousing, and analytics. This role is integral to our team and the vision for DALSA focusing on enhancing our data and IoT capabilities within our automation life science laboratories. 

As a key member of the interdisciplinary DALSA team, you will collaborate with various experts from Bioengineering, Electrical Engineering, Mechanical Engineering, and Computer Science to drive data innovation and support our ambitions to become the leading life science automation development and user facility.

Key Responsibilities: 

• Develop and refine data infrastructure and architecture to support automation workflows
• Collaborate with professionals in bioengineering, electrical engineering, mechanical engineering, and computer science to implement data-driven projects
• Contribute to the development of DALSA into a centre of excellence
• Lead data strategy initiatives to ensure the continuous growth and expansion of DALSA’s activities
• Design and manage data warehouses for efficient and secure data storage for public and private collaborative projects
• Implement robust data storage solutions, ensuring compliance with security standards
• Perform data analysis to generate insights and support strategic decision-making
• Ensure the integration and interoperability of data systems within the lab
• Develop and maintain data pipelines for real-time data processing and analytics
• Stay informed about the latest trends and technologies in data management and analytics 

Skills and Qualifications: 

• Master’s degree (or equivalent experience) in a related field such as Computer Science, Information Technology, Data Science, etc.
• Experience in data infrastructure, architecture, and warehousing
• Proficiency in data analytics tools and coding (e.g., SQL, Python, R, Java, MATLAB)
• Strong understanding of data governance and regulatory compliance
• Proficiency in managing and analysing data from laboratory equipment
• Knowledge of cloud-based data solutions (e.g., AWS (Amazon Web Services), Azure)
• Strong problem-solving and analytical abilities
• Strong interpersonal skills and an interest in working in an international team
• Ability to develop and maintain data pipelines for real-time processing
• Experience with machine learning and AI techniques is desirable
• Experience with Laboratory Information Systems (LIS) and/or Laboratory Automation Systems (LAS) is a plus
• Experience with IoT data management and integration is also a plus 

The ideal candidate is organized, independent, and innovative, with a keen eye for detail and a passion for data. You should demonstrate flexibility, accuracy, and an out-of-the-box thinking approach. This position offers an exciting opportunity to contribute to our mission and make a significant impact in the field.

Application and contact

To apply, click the 'Apply' button above.

Application deadline: 24 November 2024 

Technology for people

DTU develops technology for people. With our international elite research and study programmes, we are helping to create a better world and to solve the global challenges formulated in the UN’s 17 Sustainable Development Goals. Hans Christian Ørsted founded DTU in 1829 with a clear mission to develop and create value using science and engineering to benefit society. That mission lives on today. DTU has 13,500 students and 6,000 employees. We work in an international atmosphere and have an inclusive, evolving, and informal working environment. DTU has campuses in all parts of Denmark and in Greenland, and we collaborate with the best universities around the world. 

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