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Co-op, Data Visualization and Application Development

Job in Cambridge, Middlesex County, Massachusetts, 02140, USA
Listing for: Biogen, Inc.
Full Time position
Listed on 2026-10-01
Job specializations:
  • IT/Tech
    Data Analyst, Technical Writer, AI Evaluation
Salary/Wage Range or Industry Benchmark: 23 - 29 USD Hourly USD 23.00 29.00 HOUR
Job Description & How to Apply Below
About the Role:

This application is for a 6-month student role from January - June 2027. Resume review begins in October 2026. The co-op will join the Data Visualization and Application Development (DVAD) team within Quantitative Sciences and Development Operations (QSDO). DVAD builds and supports applications, data products, and visualizations that help stakeholders consume data in an efficient way while making better informed decisions.

This role is for a student who can engage with users to understand their needs, is curious about how technology can improve work, and is interested in gathering user evaluation metrics to shape a successful product. The role will be divided across two connected areas. Some of the co-op's time will support a centralized clinical trial operations platform. The co-op will help develop an evaluation plan for gathering user feedback, support implementation of the evaluation approach, and analyze and report on responses.

The goal will be to evaluate adoption, understand how the tool is being used, identify barriers or unmet needs, and recommend areas for improvement. The remaining time will support project management and information gathering to identify visualizations that could be useful across QSDO. This may include interviewing stakeholders, documenting business questions and user needs, organizing and synthesizing findings, tracking activities and decisions, and helping the DVAD team assess and prioritize potential visualization opportunities.

Success will depend on curiosity, thoughtful problem solving, strong communication, attention to detail, and a user-centered perspective. Exposure to project management, survey design, analytics, research methods, or data visualization is helpful and will provide opportunities for hands-on learning with a cross-functional team.

What You’ll Do:
  • Partner with the clinical operations platform team to develop an evaluation plan, including evaluation questions, target audiences, feedback methods, measures of adoption, and a practical approach for collecting and reviewing responses.
  • Support implementation of the evaluation plan by preparing materials, coordinating outreach, organizing responses, and maintaining clear and appropriate documentation.
  • Create a clear evaluation report that summarizes the approach, findings, limitations, and prioritized recommendations for future improvements.
  • Partner with QSDO stakeholders to understand current reporting and visualization needs, existing tools, pain points, and opportunities for improvement.
  • Plan and track small project activities, organize stakeholder input, follow up on open questions, and maintain clear documentation of decisions and next steps.
  • Create an inventory of selected dashboards and visualizations, including their purpose, users, data sources, ownership, overlap, and gaps. Example projects may include:
    Clinical Operations Platform adoption and user-feedback evaluation plan. Clinical Operations Platform evaluation report with findings and prioritized improvement opportunities. QSDO visualization landscape inventory and opportunity assessment.
Who You Are:

A thoughtful and curious student who is excited by the potential of technology, applications, and data visualization to improve how people work and make decisions. Foundational understanding of research or evaluation methods, such as developing research questions, designing surveys or interview guides, collecting feedback, and recognizing bias or limitations in results. Familiarity with survey tools, spreadsheets, presentation tools, data visualization platforms, or collaboration and documentation tools is preferred.

Comfortable asking questions, interviewing users, listening for underlying needs, and synthesizing…

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