Utilize business process modeling to analyze existing business operations and supply chain processes and identify areas for workflow efficiencies and automation.
Collaborate with cross-functional teams to understand project, goals and KPI tracking workflows and reporting systems.
Support the design and development of a resource planning tool, forecasting and tracking FTE allocations.
Work closely with project managers and stakeholders to gather requirements and ensure alignment with business objectives.
Develop comprehensive documentation and visual representations outlining current processes, proposed process improvements and workflow optimizations.
Visual models may be in the form of flowcharts, diagrams, or other formats that illustrate the sequence of activities, decision points, and flow of information.
Create reports and dashboards in PowerBI and Smartsheet. Support data modeling enhancements.
Develop and implement automations leveraging Microsoft applications (i.e. PowerAutomate, PowerApps, Copilot Studio, SharePoint and Excel) as well as Smartsheet.
Assist in the implementation and testing of new processes, tools and application of AI.
Generate regular reports and presentations to communicate progress and findings to the leadership team.
Requirements
Currently enrolled in or has completed a degree program at an accredited college or university in Business, Biology, Engineering, IT or other STEM related fields
Possess the ability to work a 6-month assignment, full-time
Must be 18 years of age by the start of the internship/co-op
Must have transportation to the site in Cambridge, MA, US
This position is intended to be hybrid
Strong analytical and problem-solving skills.
Excellent communication and interpersonal skills.
Ability to work independently and collaboratively in a fast-paced environment.
Proficiency in Microsoft Office suite (Word, Excel, PowerPoint) required. Proficiency in Microsoft Power Platform, Azure AI Foundry, Copilot, Smartsheet and Lucidchart highly preferred.
Previous experience (or coursework) with data modeling, data pipelines or data analytics is a plus.
Interest in learning about biotech operations and the cell and gene therapy industry.