Description

• Assist with building practical AI tools, low-code applications, dashboards, forms, and automated workflows using approved platforms
• Help organize and analyze laboratory data to improve sample tracking, inventory, scheduling, instrument utilization, reporting, and turnaround time
• Learn and document laboratory workflows to identify bottlenecks, manual steps, and opportunities for AI or automation
• Use approved tools such as Microsoft Copilot, Copilot Studio, Visual Studio, Power Automate, Power Apps, Power BI, SharePoint, Python, and SQL
• Support integration among laboratory systems, instrument data, spreadsheets, databases, and business applications
• Help develop and maintain internal data management systems and electronic notebooks across multiple laboratory environments
• Participate in requirements gathering, testing, validation, documentation, training, and end-user support
• Capture and report metrics such as time saved, reduced manual entries, fewer errors, improved data access, and increased user adoption
• Follow requirements for cybersecurity, data protection, responsible AI, quality, safety, and change control within both internal and client frameworks

Required Qualifications:

• Bachelor's degree in Computer Science, Data Science, Information Systems, Engineering, Chemistry, Biology, Laboratory Science, or a related field; or an equivalent combination of education and experience
• Zero to two years of relevant experience, including internships, co-ops, research, coursework, or significant projects
• Interest in applying AI, data, software, or automation to improve laboratory operations
• Foundational experience with one or more of the following: Microsoft Power Platform, generative AI tool use and development, Python, SQL, data visualization, workflow automation, or application development

Key Skills

Education

Bachelor's degree