Yongbao Zhuang and Wenyang Shi: Scientific thinking with meaningful real-world impact

Yongbao Zhuang:

Three things stand out. First, how to turn a broad question into a structured workplan with clear deliverables. Second, how to triangulate insights from different sources—literature, data, and stakeholder perspectives—rather than relying on a single input. Third, how to communicate findings in a way that is decision-ready: clear logic, transparent assumptions, and practical implications.

Wenyang Shi:

During my internship, I have learned a lot about epidemiological analysis and real-world data workflows. I gained hands-on experience in structuring and analysing registry data, defining study populations, and calculating outcomes related to healthcare utilization and costs. Beyond technical skills, I also learned how projects are developed and delivered in an industry setting. This includes working efficiently in teams, communicating results clearly, and aligning analyses with specific project goals and timelines. 

Yongbao Zhuang:

I’ve learned that Market Access is ultimately about aligning evidence with what different stakeholders need to make decisions—payers, clinicians, and healthcare systems—within a specific local context. RWE complements clinical trial data by showing how treatments perform in real practice, and it can be especially important for understanding outcomes, treatment patterns, and unmet need. I also gained a more practical understanding of the strengths and limitations of RWE—such as bias, confounding, and data quality—and why transparent methods and clear framing are essential.

Wenyang Shi:

I have gained a practical understanding of how RWE is used to describe disease burden, treatment patterns, and economic impact in routine clinical practice. Through hands-on work, I learned how analyses are shaped by concrete client needs and real decision questions, while also considering the health economy, ethical aspects, and a broader human perspective. Overall, I have learnt that Market Access and RWE rely on solid methodology and clear communication, and that data integration and emerging tools such as AI can support more efficient analyses and help turn complex data into meaningful insights.

Yongbao Zhuang:

It has been fast-paced, collaborative, and very applied. I’ve worked on projects where the objective is clear—supporting evidence-based decisions in market access and related areas—and where the details matter. I’ve also appreciated working with colleagues who are generous with feedback and who bring strong expertise.

Wenyang Shi:

My work at Medaffcon has been highly practical and application oriented. I am working on projects using real-world data to study disease patterns and healthcare costs in Sweden. My role has mainly focused on data analysis and quantitative evaluation, contributing to evidence generation that addresses real and relevant questions. The work environment has been very collaborative. I have worked closely with colleagues from different backgrounds and appreciated the open discussions, shared workflows, and constructive feedback throughout the projects.