Interdisciplinary Data-Driven Research Partner

About Us

We collaborate long-term with teams engaged in large-scale, data-driven research.

Our research domains include, but are not limited to:

• Healthcare and real-world data (RWD)
• Engineering and applied modeling
• Computer science and artificial intelligence
• Social sciences and public / population health

Our work is data-centric and research-oriented.

We do not operate on a task-based or single-paper writing model.

Who We Are Looking For

We are interested in connecting with research leads or small research teams that already operate within a structured research framework.

You or your team may be a good fit if you:

• Manage or curate reusable, large-scale datasets (medical, engineering, computational, or multi-source data)
• Maintain topic pipelines or long-term research agendas, rather than ad-hoc writing
• Conduct multi-disciplinary research based on shared data or methodological frameworks
• Have published across different disciplines or journal categoriesHow Collaboration Works (Important)

This is not a traditional employment role and not an outsourcing arrangement.

We are looking for long-term, research-level collaboration, where:

• Research directions are initiated based on data and methodology
• Publication planning is structured and scalable
• Writing begins only after research directions are clearly definedRelevant Background (Not Mandatory)

• Long-term involvement in data-driven research (healthcare, engineering, computer science, or interdisciplinary)
• Experience with large-scale data analysis, statistical modeling, or machine learning
• Experience leading or coordinating research teams
• Ability to think in terms of research systems, rather than single manuscriptsOur Approach

We value alignment in research philosophy more than formal titles or resumes.

If your work is data-centric, system-oriented, and focused on long-term research collaboration, we would be glad to start a conversation.